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When conducting quantitative research on family and socioeconomics, what are some of the ethical concerns that can arise?
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When conducting quantitative research on family and socioeconomics, several ethical concerns can arise. Some of the key ethical considerations to keep in mind include:
1. Informed consent: Researchers must ensure that participants are fully informed about the purpose of the study, the procedures involved, and any potential risks or benefits. In the context of family and socioeconomics research, participants may be vulnerable due to their socio-economic status, family dynamics, or personal circumstances. Researchers should take extra care to obtain informed consent from all participants, including children and vulnerable populations.
2. Privacy and confidentiality: Researchers must protect the privacy and confidentiality of participants' data, especially when it comes to sensitive information related to family relationships, financial situations, or other personal matters. Data should be securely stored and only accessible to authorized personnel to prevent unauthorized access or disclosure.
3. Potential harm: Researchers should consider the potential harm that may arise from participation in the study, particularly in the context of family and socioeconomics research. Participants may experience distress or discomfort when discussing sensitive topics related to their family dynamics, financial situation, or socio-economic status. Researchers should take steps to minimize harm and provide appropriate support or referrals if necessary.
4. Power dynamics: In studies involving families and socioeconomics, researchers must be aware of power dynamics within family units and socio-economic groups. Researchers should strive to maintain a balance of power and avoid exploiting vulnerable participants. It is essential to ensure that all participants are treated with respect and have the opportunity to withdraw from the study at any time.
5. Cultural sensitivity: Researchers should be culturally sensitive and respectful of participants' beliefs, values, and practices when conducting research on family and socioeconomics. Cultural differences may impact how participants perceive the research topic or how they interact with researchers. Researchers should take steps to ensure that the research process is inclusive and respectful of diverse cultural perspectives.
6. Data integrity: Researchers must ensure the integrity and accuracy of the data collected in quantitative research on family and socioeconomics. Data should be collected, analyzed, and reported in a transparent and unbiased manner to maintain the credibility of the research findings. Researchers should follow ethical guidelines and best practices for data collection and analysis to uphold the integrity of the research.
Overall, researchers conducting quantitative research on family and socioeconomics must adhere to ethical principles and guidelines to protect the rights and well-being of participants, maintain data confidentiality and integrity, and address potential ethical concerns that may arise in the research process. By upholding ethical standards, researchers can ensure that their research contributes positively to our understanding of family dynamics and socio-economic factors while upholding the rights and dignity of participants.
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review secondary research into the concept of fundamental healthcare as defined in influential research and policy commitments to the South African landscape
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In South Africa, socioeconomic barriers significantly impact uninsured individuals, hindering their access to primary healthcare services. These barriers exacerbate health disparities and contribute to the challenges faced by vulnerable populations. Here are some ways in which socioeconomic factors affect the uninsured in South Africa:
  1. Financial Barriers: Out-of-Pocket Costs: .
  2. Geographical Barriers: Limited Access to Healthcare Facilities:
  3. Education and Awareness: Limited Health Literacy: Awareness of Available Services:
  4. Stigma and Discrimination:Social Stigma:
  5. Workplace-Related Factors:Informal Employment:
  6. Healthcare System Challenges: Overburdened Public Healthcare System: Shortages of Medications and Supplies: Public healthcare facilities may face shortages of essential medications and medical supplies, further compromising the quality of care available to uninsured individuals.
Addressing these socioeconomic barriers requires a multi-faceted approach, including policy interventions, community outreach, and efforts to strengthen the public healthcare system. Initiatives aimed at reducing poverty, improving education, and expanding access to affordable healthcare services can contribute to mitigating the impact of these barriers on the uninsured population in South Africa.
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Despite "references" - many of which are more opinion pieces than research - it sounds like most of your posts are metaphysical discussion points rather than anything related to the more narrow realm of the Scientific Method in research and discovery.
You might find more active debate or subjects for further evaluation in a forum like Quora than in Researchgate.
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Ethiopian rivers share certain physical and non-physical attributes that significantly impact the country's physical landscape, socioeconomic conditions, and external relations. These characteristics wield considerable influence, shaping various aspects of Ethiopia's development and interactions with the world. What are the General Characteristics of Ethiopian Rivers?
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Ethiopia is known for its diverse river systems, which exhibit several general characteristics:
1. Origin and Flow: Ethiopian rivers generally originate from highlands and mountains, such as the Ethiopian Highlands and the Simien Mountains. They often have their sources in the central and northern parts of the country and flow in different directions, eventually reaching various drainage basins. The flow of rivers in Ethiopia is highly influenced by the country's topography and rainfall patterns.
2. Seasonal Variation: Ethiopian rivers typically exhibit significant seasonal variation in water flow. The country experiences distinct wet and dry seasons, with the majority of precipitation occurring during the rainy season, which varies across different regions. As a result, river flows can vary greatly throughout the year, with higher water levels during the rainy season and reduced flows during the dry season.
3. Intermittent Rivers: Some rivers in Ethiopia are intermittent, meaning they may cease to flow or decrease to a minimal flow during the dry season. This is particularly true for rivers in arid and semi-arid regions, where water availability is limited. During the dry season, these rivers may contain isolated pools or completely dry up until the next rainy season.
4. Hydrological Diversity: Ethiopian rivers exhibit a wide range of hydrological characteristics. Some rivers are characterized by high flow rates and swift currents, especially in mountainous regions where steep gradients exist. Other rivers may have slower flow rates and meander through lowland areas. The hydrological diversity is influenced by factors such as elevation, topography, geology, and vegetation cover.
5. Sediment Transport: Ethiopian rivers often carry substantial amounts of sediment due to the erosive forces of the highland areas and the steep slopes they traverse. Sediment transport is especially significant during the rainy season when runoff erodes the soil and transports it downstream. This sediment transport plays a crucial role in shaping the river channels and can have implications for downstream ecosystems and water management.
6. Ecological Importance: Ethiopian rivers are vital ecosystems that support diverse aquatic and riparian habitats. They provide habitats for numerous fish species, amphibians, reptiles, and invertebrates. Riverine vegetation along the banks provides important habitats for birds and other wildlife. These rivers also sustain agricultural activities and livelihoods through irrigation and serve as water sources for both human and livestock consumption.
It's important to note that while these characteristics are generally applicable to Ethiopian rivers, there can be significant variations across different river systems within the country. Factors such as climate, geography, and local conditions can result in unique characteristics for specific rivers or river basins in Ethiopia.
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What do you mean by socioeconomic?
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Be careful with assumptions about climate change inevitably inducing disasters https://www.linkedin.com/pulse/climate-change-weather-disasters-ilan-kelman
For Bangladesh:
1. Migration and climate change https://doi.org/10.3390/su8121223
2. Resilience and cyclones https://doi.org/10.3390/su8080805
3. Migration to India https://doi.org/10.1111/apv.12156
5. Resilience to flash floods https://doi.org/10.1016/j.ijdrr.2018.06.011
6. Livelihood Impacts of Flash Floods https://doi.org/10.1177/028072701903700304
7. Indigenous responses to drought https://doi.org/10.1016/j.envdev.2018.11.004
And a blog on cost-benefit analysis http://news.trust.org/item/20161013115243-3s6eq
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All these concepts are well-defined and precisely described. Their societal and environmental implications are at the heart of humanity's concerns: poverty, natural resources, human development, aging populations, social security, pensions, migratory fluxes... Obviously, all these questions arise in completely opposite ways depending on whether we place ourselves on the side of developed countries or of developing countries, which is not without creating tensions at the interfaces. Sometimes these become unbearable to such an extent that they lead to real crises or presage of future redoubtable imbalances. The subsidiary question would be: how can we reconcile, balance, and cooperate to design and promote a reliable common future, for all people on the planet? Let's think together on this nagging issue at the same time fascinating.
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Dear Doctor
Go To
Human population growth and the demographic transition
John Bongaarts
Philos Trans R Soc Lond B Biol Sci. 2009 Oct 27; 364(1532): 2985–2990.
doi: 10.1098/rstb.2009.0137
"ABSTRACT
The world and most regions and countries are experiencing unprecedentedly rapid demographic change. The most obvious example of this change is the huge expansion of human numbers: four billion have been added since 1950. Projections for the next half century expect a highly divergent world, with stagnation or potential decline in parts of the developed world and continued rapid growth in the least developed regions. Other demographic processes are also undergoing extraordinary change: women's fertility has dropped rapidly and life expectancy has risen to new highs. Past trends in fertility and mortality have led to very young populations in high fertility countries in the developing world and to increasingly older populations in the developed world. Contemporary societies are now at very different stages of their demographic transitions.
Global population growth will continue for decades, reaching around 9.2 billion in 2050 and peaking still higher later in the century. The demographic drivers of this growth are high fertility in parts of the South, as well as declining mortality and momentum. This large expansion in human numbers and of the accompanying changes in the age structure will have multiple consequences for society, the economy and the environment."
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The Patient-centered healthcare approach involves empowering patients to take an active role in their care and necessitates that healthcare professionals possess strong communication skills and effectively address patient needs. Additionally, the approach prioritize physical comfort and emotional well-being, as well as respect for patient and family preferences, values, cultural traditions, and socioeconomic conditions.What is the role of f patient-centered healthcare approach in developing medical education curriculum?
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Thank you for the question and the answers above! Besides what you have already highlighted, according to our experience as both lecturer and researcher in medical schools, including patient-centeredness if fundamental to train the future healthcare professional's humanistic skills, which include not only situating and empowering the patients, but also situating the healthcare professional itself as la person dealing with another person.
Students report difficulties to face something as basic as learning how to deal with another human being. Moreover if this human being is in pain, scared, dis-eased and you are the one expecting to be helpful. Medical training is focused on data analysis, decision making, a precise knowledge of pathology, etcetera. Which enclose them in the amaze and the demand of their discipline. But nobody teaches them how to BE WITH a person in need/pain/despair/scared. Some of our students face severe mental health problems when facing real patients/people, and report they do not feel enough prepared by the training methodologies, despite all the readings, exercises, simulations, etc.
It seams that students should be exposed to people/patients since the early years of their training, and not only during interships, to really benefit from-and assimilate a patient-centered healthcare approach.
Thank you.
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To what extent can robots and AI replace human jobs across different sectors? What are the socioeconomic implications of widespread automation? How can governments and industries manage potential job displacement and ensure a smooth transition for the workforce?
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No
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Maternal and Child Health
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A. Socioeconomic factors have a significant impact on the health outcomes of both the mother and child.
B. Poor health outcomes can, in turn, lead to a decline in socioeconomic status.
- A negative cyclical process. A leads to B and B leads to A
References for A -
  1. The Role of Maternal Diet and Iron-folic Acid Supplements in Influencing Birth Weight Journal of Tropical Pediatrics, Volume 60, Issue 6, December 2014, Pages 454–460, https://academic.oup.com/tropej/article/60/6/454/2843035?login=false
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To date, the SDGs have failed to reduce socioeconomic inequality within and between countries in the post-covid pandemic World. How can governments, civil society, and other stakeholders regain the momentum lost, to "leave no one behind?
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You are right, the momentum had for achieving SDGs prior to Covid19 was diminished with new normal that enterprises to individual looking for survival than achieving greater goals. In fact, we need think about what actually has happened during the pandemic...it driven us for more sustainable way of living, reducing our carbon footprint....converting our way of living to reduce carbon emission etc. So, I believe we need pitch on this and convince the public on the benefits of that...We need to prioritise sustainability across the board.
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In land acquisition for public use such as in the case of infrastructure development. The government pays just compensation as determined by:
(1) Market value of land.
(2) Current cost to reconstruct affected improvements/structures within the land.
(3) Other entitlements for income losses (if any).
These compensations are given to allow affected landowners to relocate and be at the same socioeconomic level before their land was taken (no loss, no gain).
Are these compensations enough or should affected landowners be given more incentives?
Are there other form of compensation and entitlements given?
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Whether or not a government should provide incentive really depends on the political economy. In China, the government is so powerful that it can force peasants to agree to land expropriation even with compensation lower than market price. So, political economy matters and varies.
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What are the existing digital media literacy practices among different demographic groups in India, and how do these practices vary across different regions and socioeconomic backgrounds? This question aims to understand the digital media literacy practices that currently exist among different demographic groups in India and how these practices vary across different regions and socioeconomic backgrounds.
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مداخلة ثنائية مع الدكتورة حموته فاطمة،بالملتقى الوطني الموسوم ب:(( واقع شبكات التواصل الاجتماعي وتأثيرها على الأمن الفكري للشباب في الجزائر))
،والمنعقد يوم 10ماي2023 بجامعة عبد الحميد بن باديس بمستغانم،من تنظيم كلية العلوم الاجتماعية بالتنسيق مع مخبر *حوار الحضارات والتنوع الثقافي وفلسفة السلم*
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Hello everybody.
I am preparing a review on a "broader" question about socioeconomics and I am having difficulties distinguishing between a scoping review and a narrative systematic review.
I hope somebody have some comments on this.
Thank you.
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A scoping review is less likely to seek to address specific research questions in detail and will not usually assess all aspects of the literature. It is a type of review that aims to identify the nature and extent of research evidence on a particular topic, and to map the existing literature. On the other hand, a narrative review relies on the author's background knowledge on a topic and is more biased than systematic and scoping reviews. A systematic review, on the other hand, is a comprehensive and reproducible review of the literature that uses a rigorous and transparent methodology to identify, appraise, and synthesize all relevant studies on a specific research question.
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There is a common speech giving school education a main role for equality of opportunities and social mobility. However, it seems that school may have a limited effect facing parenthood styles, social class and cultural capital of parents.
Daron Acemoglu, 2022. "Obedience in the Labour Market and Social Mobility: A Socioeconomic Approach," Economica, London School of Economics and Political Science, vol. 89(S1), pages 2-37, June.
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Guillermo López Franco Family plays a significant role in shaping a child's education opportunities and social mobility. Parenting styles, social class, and cultural capital all impact a child's access to educational resources and opportunities, which can in turn shape their future opportunities and social mobility. While school is often seen as the key to equality of opportunity and social mobility, these other factors cannot be ignored and can have a substantial influence.
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how do we categorize SES based on the Kuppuswamy scale then make it into three categories like Low, Medium, and High?
Since scores for kuppuswamy sale are.
Socioeconomic class Total score I Upper 26‑29 II Upper middle 16‑25 III Lower middle 11‑15 IV Upper lower 5‑10 V Lower below 5
this can be recoded into three? any reference?
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no answer
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Underdeveloped health systems have many problems and this affects socioeconomic and health unstablity. Even the little industry will stop their work because of economically developed county fight covid and forget give welfare organization.
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Post-COVID-19 Opportunities in developing countries
Various efforts have been made by the government, including: through the National Economic Recovery to protect vulnerable communities and stimulate the business sector to return to positive growth; the new program is a job loss guarantee; and increase vaccine delivery to the entire population.
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I am planning a survey on status of Agricultural Mechanization in province no. 1 of Nepal. To make it more realistic, i am hopping suggestions.
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Holding sizes, available resources, existing crops and their geometry, input requirements of the crop etc. are important key points.
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In my current thinking/writing I have been exploring ideas behind quantum social theory, for example the potential of an entropic society. Here, such a society exhibits a default (temporal) tendency toward disorder. Entropy increases unless society works to reduce it. Why? Because, from a quantum super-positional perspective on a society of individuals, there is an infinite potential for interference through quantum interdependency: there is an indeterminate potentiality to disorder, with only a limited number of determinable, observable events that may signify order.
Statistically, unless we invest in reducing the range of interdependencies and thus work to reduce the indeterminacy of state changes and/or interferences, by implementing (social) negentropic constraints, we will experience emergent disorder. Such constraints, including our social institutions, laws, ethics and morals, are designed to increase the probability that a given/anticipated/expected/desired state change within society may be observable. This is society’s desire for normativity.
Yet, as I think on these lines, I begin to see the potential of the entrepreneurial mind and its consciousness as a radical free agent unbound to the idea of the negentropic normativity of corporate life. This, to my mind, is a positive prospect: the entrepreneur’s value to our social-economy. Our socio-economic life needs its free radicals to prevent excessive negentropy. By attention to the radical free agents of society, we can be reminded that corporate normativity cannot (and should not) rule out indeterminacy entirely: the socio-economic society must respect its entropic potential. And, while corporations seek to normalise their activities, we can look to the entrepreneurs to remind us of our full, unrealised potential.
Thoughts? All opinions, normative and non-normative are welcome.
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Changes and transformations of social−economic systems in this era are rooted in science and technology progress and changes . Now days, the survival of organizations requires finding solutions and new ways of dealing with problems which very dependent on innovation, invention, creation of products, processes, and new managerial methods. What has become increasingly apparent to researchers is that when pursuing new opportunities with limited resources, the entrepreneur must use innovative approaches in the face of these uncertainties
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Hello,
I looking for work that takes a predominantly developing /under(semi)developed, etc. perspective in discussing socio-economic issues in countries in the "periphery" of Europe (South, East, less developed regions, etc). That is work that uses concepts, ideas, theories, methodologies, etc typically associated with less developed countries to approach issues in the "periphery" of Europe. I'm interested in either contemporary of historical analyses.
Thank you!
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Dated, though still a useful introduction to the subject - Ryszard Stemplowski (ed) Europe and Latin America: Looking at each other (Warsaw: Polish Institute of International Affairs, 2010). Several contributions compare development strategy in Latin American and Eastern Europe from historical and (near) contemporary perspectives). Some consider the extent to which counties of Latin America and Eastern Europe became 'laboratories' for policy models. Chapters written mainly by social scientists and historians. There is also a companion volume.
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Hi,
I was wondering if there are yearly socioeconomic spatial data for India (e.g. population distribution, energy consumption) for the period 2013-today. So far, i managed to find population distribution in raster format (100m) from the website WorldPop, but I was wondering if there are alternatives.
Thanks
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Kindly see also the following RG link:
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I desire to work on Socioeconomic barriers of menstrual health management in the slums of Bangladesh. I guess I need to be more specific regarding the topic. Any recommendation would be highly appreciated.
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(...) restrictions related to menstruation among young women from low socioeconomic background.
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Working analysing technological disasters impacts, always the question about causation emerges. When it is about environmental data, a possible path is try to establish a proxy or a baseline and make comparative analysis. But what abou socioeconomic impacts? It is possible to establishe causation without a control group? How do you eliminate the impact of other external variables in the analysis?
For example, it is possible to evaluate the impact on health or income in a population hitted by a disaster, such as a mining dam collapse, without a control group?
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I got a little bit confused here, but maybe is just the language or something like that! lol.
I understand as a control group, not just one that i actually manage or interact with, but a collective of individuals or elements that share similarities, except for the variable that you want to analyse.
This analysis exactly like you understood, where i compare diferent cities to understand the impact of a disaster in one of then, if it is not a control group, there is another name?
I am not sure, but in portuguese we call it also as a control group!
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Hi all,
I am looking at the impact of freedom in a country using the data from the freedom house index on socioeconomic development during COVID-19. In my study, I am using data from 171 countries.
I have created an index using geometric mean including variables such as water and sanitation, GDP, Healthcare quality, quality of education, unemployment rate, and Gini index for socioeconomic development. I have also created a Covid-Index using a geometric mean of total deaths per million and the stringency index.
My regression is: Socioeconomic development index = covid index + freedom score
I have run all the regression tests and all of them are statistically significant, and done tests for all the OLS assumptions (also passing them all).
My r-squared is 0.1442, how do I interpret this?
Thank you!
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You might want to use the adjusted-R square. Apart from what it is mentioned above by Proloy Barua , in principle, it should not be a problem if you are interested in the marginal effect of the variables you included in the regression. If you are interested in explaning as much as possible of the variation of the outcome variable, the R square you get it can be considered as low.
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We will like to know the most appropriate way to model and predict the effect of socioeconomic features on waste generation in three different income class areas, ie low, medium and high income areas.
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Researcher have employed artificial neutral networks, time series intervention, grey fuzzy dynamic, two-stage support- vector-regression models.
Please consider these papers
1. Abbasi M, Abduli MA, Omidvar B, Baghvand A (2012) Results uncertainty of support vector machine and hubrid of wavelet transform-support vector machine models for solid waste generation forecasting. Environmental progress and Sustainable Energy 00:1-9.
2. Abdoli M A, Nezhad M F, Sede R S, Behboudian S (2011) Long term forecasting of solid waste generation by the artificial neural networks. Environmental Progress and Sustainable Energy 31 (4):628-636.
3. Antanasijevic D, Pocajt V, Popovic I, Redzic N, Ristic M (2013) The forecasting of municipal waste generation using artificial neural networks and sustainability indicators. Sustain Science 8:37-46.
4. Beigl P, Lebersorger S, Salhofer S (2008) Modelling municipal solid waste generation: A review. Waste Management 28:200-214.
5. Chang NB, Lin YT (1997) An analysis of recycling impacts on solid waste generation by time series intervention modeling. Resources Conservation and Recycling 19:165–186.
6. Chen HW, Chang NB (2000) Prediction analysis of solid waste generation based on grey fuzzy dynamic modeling. Resources,
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Just published in Journal of Business and Socio-economic Development:
Financial literacy and personal retirement planning: a socioeconomic approach
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very interesting research, could one say that logically one would expect that the higher rate of financial literacy, the more scrupulous the retirement plans? or does income(which probably positively correlates with financial literacy) play a bigger role?
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hello, every body
i need to use more than two variables as socioeconomic variables. meanwhile the technique/formula i am using (concentration index) for analysis consider only single socioeconomic variable. so it would be wonderful if some body may help me to do so.
one idea is to use copula function to join the variables however if there exist some other way to do so, it would be appreciable.
regards
asif
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I think if your measuring scale for the variables that you want to add up is same then you can take simple mean score of them. You can try it. if measuring scale is different then look for reduction of dimensionality.
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I've read numerous papers about socioeconomic vulnerability assessment and I found out that most of the papers focused on natural hazards and disease(such as COVID-19 pandemic). I can't find anything related specifically to water pollution. Therefore, what are the potential parameters/indicators for adaptive capacity for socioeconomic vulnerability assessment of water pollution?
Based on the article, the indicators are risk awareness, early warning capacity, regulation control and emergency response.
In this article, education, access to mobile connection, income, access to water facilities and health awareness camp were as indicators.
However, the indicators used in this article were in demographic domain such as population growth rate, population density and percentage of illiterate households.
I think the biggest challenge is finding a way on how to quantify it. Another obstacle is the availability of socioeconomic data of appropriate geographical coverage.
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Just a suggestion
Use the Cause and Effect logic to create a flow chart of events and then prioritise your indicators
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I am conducting a research on a topic assessment of Socioeconomic of GSM Masts on residents living in closed proximity
Please can you help me with relevant literature on the subject matter?
İf you don't have, do you know anyone that can help me with related literature?
I am an undergraduate student of Environmental Management Technology
Thanks
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Your question concerns the effect of the mobile base stations pn the nearby residentials.
I think it can have multiple effects:
May be the most important is the effect of the electromagnetic radiation on such people. Such people will be subject to greater radio frequency radiation dose than the people who are residing far from the stations. So, you can find studies on the effect of mobile radiation on the humans.
The other effect is positive which is they enjoy a strong recieved signal and can have a much higher data rate a nd reliable communication. So, they can get the full service from the service provider. This may lead to communication time saving and better service which may save money for them.
How much one can save through better service may be studied in the literature.
So, you have more key words to search for literature on your topic in the internet.
Best wishes
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Dear All,
I am working on a data having cost of care as DV. This is a genuinely skewed data reflecting the socioeconomic gap and therefore healthcare financing gap among population of a developing country. Because of this skewness, my data violated normality assumption and therefore was reported using median and IQR. But I will like to analyze predictors of cost of care among these patients. 
I need to know if I can go ahead and use MLR or are there alternatives?
The sample size is 1,320 and I am thinking of applying Central Limit theory.
Thanking you for your anticipated answers.
Dimeji
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I am conducting a research on a topic assessment of Socioeconomic of GSM Masts on residents living in closed proximity
Please can you help me with relevant literature on the subject matter?
İf you don't have, do you know anyone that can help me with related literature?
I am an undergraduate student of Environmental Management Technology
Thanks
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I am doing a study about the vegetation change effect on wind, microtopography, aeolian activities and economy. The change in vegetation from 1974 until date 2019 from effecient native plants in controlling mobile sand and dust to low effecient plants. The average cost of one cubic meter removal of encroached sand around infrastructures in Kuwait is 1.32 USD. The annual total cost estimated from the changes in vegetation type in Kuwait is more than 35 million USD obtained from sand encroachment cost more than (31 million USD) plus CO2 cost ( more than 4 million USD). Therefore, are thier any case studies similar to this research in the world, please contribute that we can value native life around us and detect any changes and thier socioeconomic affect .
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Thank you all for the nice contributions and happy Ramadhan.
As we publish recently a paper mentioning that: via monitoring mobile sand and dust using sand and dust traps we find that native plants and green belts have also contributed to the reduction in the annual rates of mobile sand by 94% and 95.3%, and dust by 64.5% and 68.4%, respectively.
best regards
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Has any of you studied the economic and financial situation, including the material and housing situation of households against the background of a specific socio-economic policy of the state?
If so, please comment on the results of the research or link to the publication in which the results of the research have been published.
What interventionist, pro-development instruments should be applied within the socio-economic policy of the state in order to improve the economic and financial standing of households?
Please reply
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Much has changed in the economy over the past few months due to the SARS-CoV-2 (Covid-19) coronavirus pandemic. Construction industry companies received financial public aid. Therefore, the construction investments started in previous years could be completed in 2020. Consequently, the construction sector was one of those sectors where many jobs were saved despite the economic crisis.
Regards,
Dariusz Prokopowicz
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My name is Noelia and I am doing a bibliographic research about Internet addiction. I am looking for instruments to measure it, and I found your paper. I would like to know what was the cutoff that you used to divide the score of the IAD questionnaire (i.e., if they had more than 34 points they are middle). The paper is "Demographic, habitual, and socioeconomic determinants of Internet addiction disorder: an empirical study of Korean teenagers"
Thank you in advance.
Noelia.
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Noelia Peña Arauzo I guess this Q is to me even if I found it in a public forum and by coincidence. When we created this IAD test we look on several different scales that cut fit a questionnaire on scales in the area of approx 6 Q´s. like 1-5 or 0-6 . So we looked at many and like MARDS test an depression scale. So the scales are a little bit similar and like this.
RESULTAT
0-18 normal 19-26 functional with risk behavior in the higher-scoring regions if it lasted for more than two weeks 27-33 dysfunctional 34- and above that is all the way to 44 = IAD
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Considering the majority of the population, as if, they do not know as to what is their strength. This perhaps is due to their considerably lesser exposure to various possibilities, as a result under exploitation of visible potential indicators being observed perceivably reflective. This is somewhat mathematically to be calculated based on the following generic formula which could further be deepened by incorporating a finer level of referrals and parameters as per the identified essentials during the study.
Average calculated potential vs actual harvested potential vs differential potential = under or over harnessed potential
Over harnessed potential to be analyzed in terms of negative or positive impact in achieving socioeconomic equilibrium, so should be recommended to calculate in case of under harvested potential as well.
The above study should reflect socioeconomic loss vs gain due to under or overutilization of the human resource.
I would highly appreciate your view on the above.
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Bitte erklären Sie das Problem klar. Gruß
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Conflict resolution at socio-economic disparities?
Two-way honest approach driving through varying characterized bi-parental upbringing, that further leads societal interactions into one to one, one to many and many to one results in evolving massing conflicting opinions which further sets parameters in devising policies as tools to establish best governance mechanism that sets addressing link befitting all. Yet, socioeconomic individual best behavioral dynamism is so cumbersome that it would not succeed in capturing molecular referral interest. Hence projections are to be assimilated at some level based on the injection of all-around acceptable values to be harmoniously synchronized. That perhaps would provide addressable solutions. Mainly resolves on economic conflict, which is expected to achieve the best social alignments at different classes and strata.
Please let me know your opinion. Highly appreciate.
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There are not acceptable new social values to resolve an economic crisis such as the one we face in Venezuela, Dear Shahida Anusha Siddiqui.
Any familiar values were simply dismantled by a well thought criminal gangster organization called CastroChavismo, which uses social media to deny the genocide using fake news and to polarize more what remains of our family culture.
In Venezuela, the battlefield for freedom, and rule of law is the family and in such a case, values are to be fixed from the past, where Venezuelans were successful to live in peace and harmony.
How? a war, unfortunately, Why? in order to capture and prosecute CastroChavistas for crimes against humanity committed.
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Hi everyone! I am currently running a survey on socioeconomic topic and among my respondents I have one control and two treatment groups. The treatment is hidden in a survey itself in a form of information provision. Could you please give me some tips or maybe nice literature on survey evaluation? What statistical tests shall I perform? I refrain from running a regression because the interpretation would be rather vague. Thanks in advance!
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Can you explain "I refrain from running a regression because the interpretation would be rather vague." It is rather vague.
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'village banking system has been developed by Muhammad Yunus with considering rural context of Bangladesh. Is it useful to the other developing countries to achieve rural development? What are the challenges of this approach ?    
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Yes
Agreed with reply by dear Imran Zubair
Akhuwat has done it
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I want to understand the socio-economic impact of COVID-19 pandemic on agricultural production and protection activities, on agricultural business activities within and between countries and on farming communities living in different regions.
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Hi there. The Food and Agriculture Organization of the United Nations (FAO) is one of the places to start your research on contemporary agricultural problems. See, for example, the following:
FAO. (2020). COVID-19 and rural poverty. Food and Agriculture Organization of the United Nations. Rome. https://doi.org/10.4060/ca8824en
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Hi everyone!
I´m writing my bachelors thesis and originally wanted to study the effect of tuition fees on socioeconomic/intergenerational mobility. I couldn´t find any suitable theory so I´ll have to figure out a new subject.
I´v now thought about the following themes and would be extremely thankful for recommendations on theory or another interesting subject/viewpoint.
  • The effect of an additional year of schooling on intergenerational mobility; the relations theory and actualization during years 19XX-20XX. (I`ve found a dataset for mobility and would like to use STATA or R for the empirical chapters)
  • The effect of compulsory secondary/upper secondary education on intergenerational mobility
  • Interrupted work careers and subsequent earnings; gender earnings gap
  • The obligations/binding nature of unemployment benefits and its effect on the employment rate( comparing Finland, Switzerland, Sweden, USA, Denmark. Obligations on a scale from 1-5)
I`ve studied each subject, but am most familiar with economics of education and social/socioeconomic/intergenerational -mobility.
Stay safe!
Br,
Koskelo Sara
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Thank you for your question. Not finding a "suitable theory" doesn't mean that you have to change your topic. Just start with the empirical part and then figure out the theory on the fly. For a Bachelor thesis this should suffice.
Good luck!
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I'm conducting a research on risk assessment of river basin pollution using GIS. I'm trying to find ways to incorporate socioeconomic variables in the risk assessment. Are there any socioeconomic index or calculation that I can use to predict the risk of pollution in a river basin? Lastly, what kind of data do I need to assess the impact of socioeconomic on river basin pollution?
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The US Forest Service developed a Framework to assess watershed condition about 15 years ago. All the watersheds on the National Forests were assessed using this framework. It used parameters such as population, land use, etc. The various factors were assessed in GIS and evaluated by in interdisciplinary team on each forest. Land uses with high potential or risk were urban areas, numbers of point source discharges, agriculture especially annual cropping, barren areas, road density and similar land uses or activities. Forests and grasslands would be examples of land uses with low risks. In general, much of the analysis was developed by hydrologists and soil and water experts, and for most National Forests, Th assessment teams included this level of expertise to help evaluate, rate and compare watershed conditions. Each forest then identified one or more watersheds for more intensive planning and treatment directed to improve conditions. Much of the rating required some professional guidance in the ratings, such as for example, a watershed with less then 1 mile of road per square mile might have low risk for that factor. Numerous factors were considered and rated. This level of detail might be more than you were searching for.
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I am currently working on my dissertation along disaster risk reduction and resilience in selected Philippine islands. 
Part of my objectives is to find out and map out the existing frameworks of disaster risk reduction and resilience education as implemented in schools. 
1. What kind of framework/s is/are followed by organisations/institutions in implementing disaster risk reduction and resilience education among schools?
2. How are programs along disaster risk reduction and resilience education being developed, implemented and assessed?
3. Who are the people involved in disaster risk reduction and resilience education and what are their respective roles?
4. At present, what are the specific roles of schools (high schools and universities) in disaster risk reduction and resilience education?
5. Who should be involved in a successful disaster risk reduction and resilience education? What should be their respective roles?
6. What is the ideal role of schools in disaster risk reduction and resilience education?
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Dear sir,
Greetings of the day.
The 4Rs theory is one of the existing frameworks of disaster risk and resilience education using for emergency management or disaster management. The term 4Rs is very popular in New Zealand and known as the four phases of emergency management cycle. The meaning of 4Rs are given below:
Readiness = Preparedness
Response
Recovery
Reduction = Mitigation
The concept of 4Rs also involves emergency plans, structures, and arrangements that established to engage the normal endeavors of government, voluntary agencies, NGOs and INGOs in a comprehensive and coordinated way to respond to the whole spectrum of global emergency needs. This is also known as disaster management (DM). In the concept of 4Rs, resilience describes as the aim of the four phases of emergency management as an ability to recover people and their resources from or adjust easily to disastrous misfortunes or catastrophic changes. Now, it is as one of the accepted existing frameworks of disaster risk and resilience education to open/start disaster management (DM) education at university and school level that is exercising in DM education & for research as well by the disaster risk and resilience education managers and practitioners.
With best compliments.
Thankfully yours,
Md Shamsuzzoha
From 🇧🇩
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In most of the communities especially are owned by lower socioeconomic status.Diet contains more of carbohydrate than protein and fat. More carbohydrate after catabolism produce more saturated fatty acids. This may disturb the level of LDL( high ) lead to atherosclerosis.
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Yes,I agree with you
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Many journal publishers are opening their COVID-19 researches for free to the public. Among them which are the most useful? Is more famous one the better one?
If you got a research on COVID-19 on hand, which one of the following will you submit to ?
Which one is easiest to accept your publication?
Please vote as you like!
Other than those common opened platform below, you can also suggest any new ones you think is useful for COVID-19 research.
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Good question
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I am doing research of beekeeping the factors they consider do beekeeping. I want to conduct this research from the lens of moral economics. I am looking for any recommendations, studies, and references that can help.
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While it is clear that Apis mellifera (as well as many human food crops) have been introduced to other parts of the world, the matter of whether that was a negative, positive or neutral influence is to me, a question, not a fact.
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Is there any relationship between socioeconomic background of the students' and their academic achievement?
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Generally it is believed that it is the Head only who is responsible for the academic failure in any university. To some extent, its true, but to me its the whole the team who is responsible for the uplift any academia. This team includes:
a.Tthe honest, efficient, qualified and the dedicated leadership who can run the system effectively,
b. Qualified, dedicated faculty who can bring new knowledge and cross academic experience for teaching and nurturing (tarbiat) the students,
c. Energetic, dedicated and trained staff
In my opinion, the overall major causes for the academic failure mainly in the developing countries are:
i. Non transparency in employment and financial transactions
ii. Non existence/non implementation of academic policies
iii. Non sufficient Resources/Modern/Updated facilities (lib, lab and research)
iii. External interference
iv. Internal interference
v. Over employment
vi. Corruption
vii. Mis-Management etc
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The present coronavirus(COVID-19) pandemia has already done a great damage many nations and on the world at large. Besides sick people and deaths, the COVID-19 pandemia is driving and aggravating in a significant way already pre-existent economic and social crises, with its financial concomitants.
Do you think that the present type of unequal capitalism could be and (if an affirmative answer is possible) should be modified to be able to cope with the socioeconomic consequences of the present world context?
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Roberto, you have raised an important issue here, which, to my mind, focuses on the extent to which the current Coronavirus health crisis has accentuated the vast differences between developed and developing economies, on the one hand, as well as the growing inequalities between the rich and under-privileged in society. Part of the explanation for such a divide is the predominantly capitalist system that mainly obtains in the West but which has been practised in various guises throughout the world. The question then becomes 'is there a better economic system that can alleviate, if not bridge, the growing gap between nation states and individuals?' Whilst some are proposing a more humane form of capitalism that seeks to address the gap in a more humanitarian way (i.e. not only through winner takes it all approach), others propose a structural redress or a levelling of the hierarchies of power, wealth and control. Interesting...
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The most common example is the GOOGLE lens application. The experience and decision making ability acquired by the human beings is limited as compared to the BIG DATA that an intelligent machine can learn from.
Just like Industrial Revolution and linear economy has lead to the dangerous environmental degradation, would AI cause loss of jobs and employability of engineers/ managers in the future?
Does the international community think about it or has any plan?
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Thank you for your responses. It is very much agreed that AI is a 'tool' but it becomes dangerous when given access to the BIG DATA. There used to be a term 'wisdom of crowd' i.e. the randomness among the crowd due to various experiences they have ACQUIRED through their lives. Firstly, BIG DATA is killing the value of EXPERIENCE that humans acquire through visual and other senses. Secondly, a handful of programmers can build an algorithm for AI that on the basis of the BIG DATA, makes the machine much more smarter than an average human being.
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The title is to elicit discussions on the effects of the novel covid-19 on socioeconomic rights where such rights have been guaranteed.
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Hi
Please check the following link. I believe it will help you.
Regards
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It seems evident that the SARS-CoV 2 pandemic is caused by the great transmission capacity of the virus (Ro = 3 (2.4-3.8) by droplets (Pflügger) by the survival capacity on the different inanimate surfaces and by the transmission of the asymptomatic.
Its incidence has reached such an extreme in each country that it is having great sanitary significance (collapse of the Health Systems and specifically of the ICUs) and, socially, due to the mortality associated with the disease of COVID 19. To the point that most of the Governments They are recommending quarantines and alarm states to achieve the confinement and isolation of individuals, families and the population. What will lead to great socioeconomic consequences with serious consequences and suffering for the most vulnerable such as the elderly and chronic
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I consider that one of the aspects that has failed in this Pandemic has been the lack of a preventive culture of the population because Health Education and Health Literacy is failing in the population because it is not included as a transcendent competence between the activities and skills that patients must be incorporated.
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I want to run the economics model for the climate change studies to assess different RCP and SSP scenarios and integrate it with crop models.
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Agree is a very interesting project.
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An inventor is a person who has made an active and decisive contribution to an essential, innovative and non-obvious element of the invention that led to its development.
If the technology you’ve developed is not tied to any industrial partner and it has commercial potential, it is recommended to establish a partnership.
The commercialization process is a sequence of activities, the goal of which is to transfer the technology to a company. It aims to increase the value of the research results from a social and economic perspective.
Under this process, researchers, whether faculty members, professionals or students, work closely with the research advisor and the commercialization advisor to find a vehicle for the new technology, either by launching a new business or licensing it to an existing one.
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Park, J. S. (2005). Opportunity recognition and product innovation in entrepreneurial hi-tech start-ups: a new perspective and supporting case study. Technovation, 25(7), 739-752.
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Research can have many different kinds of effects and impact depending on the discipline and the research organisation. Society’s expectations of the impact of science are also different for different disciplines.
Researchers are encouraged to consider how their work is connected with wider issues, extending beyond academia. It is important to ensure that both policy-makers and the general public are aware of the effects and impact of research and the potential it carries.
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I work with decentralized biological wastewater treatment solutions that can be adopted not only by cities and industries but also in needy and isolated communities that do not have sewage collection and treatment services.
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These days I come across patients with treated cleft lip and palate for further dental treatments like restorations and orthodontic management. Most of the patients reporting are usually from lower socioeconomic strata.
Since there is no single cause responsible for any craniofacial defects like cleft lip and palate. Several Environmental factors with faulty genes transfer along with a folic acid deficiency in maternal diet during pregnancy can also result in certain congenital abnormalities.
Can there be more risk factors involved?
Are there some better avenues dealing with the prevention of such birth defects?
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Dear Prof Amina
Excellent question about antioxidant dietary supplementation which is very true and essential.
Thank you
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In my specific case, I'm looking to promote this skills in children from 5-13 years of age, of a low socioeconomic context, to drift them away from later substance abuse that is problematic in the place they live.
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I would start with Arnold Gesell, Jean Piaget and other great psychologists who studied child' moral judgment. Without a good knowledge o the child psychology, how would I educate them. Also, I do not think that "skill" is the right word though is very used by the today utilitarian psychology. We talk here about the good and bad and the discrimination capacity of the children and teens. I would use a lot of dramatic play, stories, some literature (as ' Cuore' by de Amicis, 'Pinocchio' by C. Collodi, some of Gianni Rodari writings, Dickens- Oliver Twist, discussions on some Panchatantra stories), . Also, a lot of activities useful for each other or other people and for animals. lots of group activities but not forced as cooperative projects. And no preaching, just compassion for the people being in bad situation (including perhaps their own parents), and a lot of love. Children in the situation you have described need not so much skills but therapy (a warm understanding) because they already have very bad experiences.
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The technology gap is the divergence between nations and communities in their abilities to access, diffuse and use scientific and technical knowledge. It is one of the main causes of the rapidly expanding socio-economic gap between rich and poor nations and constitutes a major challenge for developing countries in their efforts to achieving the development goals.
Countries diverge greatly in their access to Science and Technology (S&T) knowledge; most of this knowledge is generated in developed countries, as they also have varying capacities to translate S&T knowledge into goods and services and invest in human resources and entrepreneurial capacity-building. Similarly, counties diverge in appreciation of the importance of science and technology to development; in capabilities to provide S&T advice to multilateral negotiations at the international level, and to implement the results of such negotiations at the national level.
As a scientist, can you kindly share your contribution in bridging the Gap in knowledge generation and technological activity between industrialized and developing countries?
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Technology is very important for every country, to make an advanced using resources efficiency, education system , can give you the real applied knowledge as the base to Patent and innovation.
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Given the current unrest in South Africa as regards intra-continental migration, isnt it time to revisit academic discourse on the socioeconomic, political and cultural perspectives of migration?
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There is one going on in Europe as we speak and it is called Brexit. Brexit is a confluence of a panoply of factors that include nationalism, sovereignty, culture, as well as other sociio-economic considerations. Immigration forms a large part of Brexit and for some, it is the main or determining factor in Britain's decision to exit the EU. This is an example of intra-continental migration.
Social science has always addressed the subject of inter as well as intra continental migration and often the same themes recur, such as mentioned above. Other additional features may include the racial and ethnic composition of migrants and how they are perceived by host nations.
i am not sure that what is happening in South Africa is significantly different to other cases where tension arises between migrants and their host, despite the need to identify specific factors that may lie at the heart of this occurrence. While the violence is deplorable, the facts that attend as causality appear to be the same.
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Socio-economic conditions of local people in most oil-bearing communities in developing countries remain fundamentally
deplorable, without good roads, health facilities, schools and teachers, jobs, access to legal services, good nutrition and other basic facilities that make for good living. Niger Delta in Nigeria where over $300 billion in revenue has been generated from over 50 years of oil exploration and production is a good example.
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In the case of Indonesia, after decades of centralization we committed to embark political as well as fiscal decentralization. For fiscal the decentralization, central government transfers decentralization funds in terms of general allocation funds (block grants), specific allocation funds (specific grants) and revenue sharing funds. In general, central government collect most of revenues, including tax and taxon revenues from natural resources exploitation.
In respect to your question, revenue sharing funds channels back revenues from natural resource exploitation to local government where the resources are located. The resources include forestry, fishery, mining, oil, gas, and geothermal. The proportion of sharing depends on type of resource, e.g. for oil is 15.5% of revenues go to producer province/district.
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We know today that the traditional market of Adam Smith was a fully distorted markets in environmenal and social terms as it assumed social and environmental externality neutrality...
In 2012 a consensus was reached to correct Adam Smith's traditional market model to make it environmentally friendly or making it reflect environmental concerns....
The correction of Adam Smith model could have been done in two ways:
a) Externality internalization by adding a green margin to the traditional market price creating that way green market prices; and
b) by externality managment by bringing an array of green taxes creating that way dwarf green market prices.
Which correction do you think leads to the most efficent, science based, traditional market correction?....
I think correction a) externality internalization, what do you think?
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Sharing publication
The Flipping of Traditional Economic Thinking: Contrasting the Working of Dwarf Green Market Thinking with that of Green Market Thinking to Highlight Main Differences and Implications
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We know that trickledown ideas are indirect ways of dealing with externalities hoping that as dominant components do better  or expand or grow the passive or dominated or exploited components will some how share too one day in the benefits of that growth....So if we know the externalities, we know or we should be able to guess the nature of the trickle down effect expectations associated with such a model...
In the traditional market model of Adam Smith there are two externalities, social and environmental, but the classic trickle down effect is associated only with social issues/externalities(e.g. poverty), not environmental issues.  And this is a theoretical inconsistency that may be explained by the fact that environmental issues are issues that relatively recently became relevant issues as compared to social issues...
In the perfect green market only social issues are externalities so the green trickle down effect  and expectation is related to social issues only(e.g. poverty).
What about in perfect red market? what is or should be the expectation  and the nature of red trickle down effect? Any ideas?
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Sharing food for thoughts:
An Overview of the 1848 Karl Marx's Capitalism Fix Dilemmas: How a Step by Step Road Towards Economy Friendly Red Socialism May Have Looked Had Marx Stated it?
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What are the economic implication of misery index to macroeconomic policy? Although the misery index is not a good gauge of socioeconomic performance l
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Macroeconomic policy is commonly based on utilitarianism. It is taken when there are more people who become fortunate than those who become unfortunate. This misery index might provide policy makers the intensity dimension of those who become unfortunate. Consequently, they may come up with more appropriate policy.
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Our cohort has been followed-up from the subject's birth for over 40 years now. We have multiple evaluations of the socio-economic status of the subject's parents from the time when the subjects were newborn, 5 years, 9 years, and 16 years old. Obviously, the parent's SES has improved over time in many cases. Do you have any suggestions how to handle this now, when we are analyzing 40 year data of variables that may be affected by the childhood SES?
Edit: Added three question topics.
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Really, no suggestions? Come on!
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I'm looking for a recent review article that demonstrates what topics are in the focus of network modelling in the last years. I'm particularly interested in applications to socio-economic systems and ideas from econophysics.
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Thomas Neusius this paper you have shared looks interesting. will try and have a look soon!
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Stephen King's name is synonymous with horror stories. Many consider King to be the most successful writer of modern horror fiction today. My question to you all are:
* How did you feel before watch horror movie?
* How did you feel when finishing the movie?
or
* Is there any positive or negative benefits we will get by watching horror movie?
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Dear سالم عبدالله أبو مخدة thank you for sharing your thoughts.
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Hi I am looking for a way to calculate a social status index starting from the job of a person. I know the Hollingshead index, but it is diffcult to adapt it to modern jobs, and I was wondering if an updated version does exist
thanks a lot
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This is a really useful link - with helpful guidance about mapping 'effective social group' to broad job descriptions with downloadable excel files included: https://www.ons.gov.uk/methodology/classificationsandstandards/otherclassifications/thenationalstatisticssocioeconomicclassificationnssecrebasedonsoc2010
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I have finished collecting socioeconomic data of my research right now. Would any one please inform me if the is a data entry software which minimizes time and energy?
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Congratulations Dr. Belay for collecting your data. For the analysis of your data you have to code each data based on your parameters in the excel. You don't have option to analyze the data in the R or SPSS etc unless record in the excel though it is tedious. once you record in the excel, you can transform it in any software for statically analysis.
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I want the sheet for research and teaching
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Good morning
Maybe in the mundial bank you coul find it.
Middle East & North Africa | Data - World Bank Open Data
Ingrid
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I would like to assess the relationship between calories intake and other socioeconomic variables. i.e Between calories intake and age of the respondent. How can i do it with spss?
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Thank you Mr. Kidanemariam and Majeed for your cooperation.
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Business cycles continue to last longer. They are increasingly being extended through active interventionist monetary and socio-economic policies. Implementations of large infrastructure and energy investment projects often require longer, long-term construction and implementation periods. Countries with large resources of production factors, including financial, human and technological capital can implement large investment projects in the public sector or as part of public-private partnerships. In China, for example, the modern technological metropolis Shenzen was built from scratch in China during the 30th anniversary. There are planned at least two similar large infrastructure and metropolitan projects, including a modern city, self-sufficient in crops and a significant portion of other commodities, a modern city that is to be built from scratch in a maximum of 30 years as a new technological development metropolis.
Were the countries and corporations of the highly developed Western countries able to draw inspiration from strategic management with large investment projects in the public sector that are currently implemented and designed in countries such as China?
Please, answer, comments.
I invite you to the discussion.
Best wishes,
Dariusz Prokopowicz
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It is difficult to put current or recent China's projects as a source of inspiration for Western countries. Delta works is the largest public project in the Netherlands. It was accepted in 1958 and it was completed in 1997. The initial plan was for 25 years and the estimated costs -- 20% of the national GDP of 1958.
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Farm production in developing country (Nigeria) is determined by several factors outside the conventional factors of production. The decision by a rural resource poor farmer to produce for instance "Maize" depends on the conventional factors of production combination, and very importantly the socioeconomic characteristics of the farm household, the climatic conditions and even the security of farming environment. In this situation where a farmer is clouded by several factors that modeled his/her farm production decision, is it still correct in this situation to restrict production function to the classical form? Or should the production function be expanded to include the socioeconomic characteristics, climatic condition among others?
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Yes, the production function be expanded to include the socioeconomic characteristics and climatic condition .
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In the light of the deep and accelerating economic and social transformations experienced by many emerging countries, is it appropriate to maintain the current methods of management, despite of the existing imbalances, or it would be rational to fellow new equitable approaches that take into consideration the natural therdshoulds (river basins and ecosystems) where wealth would be divided equitably between citizens with some kind of territorial solidarity.
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Thank you Joanna Gocłowska-Bolek for your answer. Here in North Africa we have the same observation. Kind regards
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Internationally, gender inequality is prevalent in many areas of life, including education, employment, medical care, laws and violence. There are overt examples of inequality, such as a large discrepancy in pay between men and women, and more subtle examples of inequality, such as different interview questions asked of women than men.
what is your opinion about it?
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I think we are at a stage were we agree that equity is the bone of contention.
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I have a survey date for two different locations, now how I can compare the results of two different populations. i used the same questionaire for the two populations.
what is the suitable method to correlate the data for efficiency of working conditions and socioeconomic perspective.
Can I use the mean for socioeconomic indicators for both surveys for regression purpose?
Or is there any other technique to compare the data.
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Muhamamd,
before using the data for any substantive analyses, I would make sure that measurement is "invariant" (equivalent) between the two groups.
See:
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I developed an index score (range 0 to 10) using three dimensions (also ranging 0 to 10). In order to better understand the impact each of the dimensions have on the index score, is it statistically valid to regress the index score with one of the dimensions (measured at the interval level) used to built it plus socioeconomic variables (measured at the ordinal level)?
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Ah, I see. And what about the socioeconomic (SE) variables? I am interested in each of the dimension's impact (ran three separate regression models) on the index score controlled by these SE variables. As I understand, PCA will tell me which dimension has a larger impact on index but does not factor in SE variables, correct?
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Hello,
What is the most appropriate quantitative methodology to use for measuring two independent variables impact on one dependent variable?
My two independent are World Bank Governance Index and Ibrahim African Governance Index. My dependent is Socioeconomic Performance.
Many thanks in advance.
Mohamed
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If you do not have multiple measurements for any of your variables, then SEM is not appropriate, and should should use regression.
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As you are doubtless aware, paper-based survey has been known as one of the most common methods for gathering data relevant to people's behavior (either revealed preferences or stated preferences). I wanna make sure how much can we rely on new methods like Internet (Web)-based survey instead of traditional paper-based survey? In particular, my research's scope is related to travel behavior analysis. My research' sample should cover all socioeconomic groups and almost all geographical areas in a city.
I would be happy if somebody shared with me his/her opinion or the valid references.
Thanks in advance
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Another problem you have to consider is about respondent’s willingness to participate. You have to have a reliable database of lead contacts and be aware that response rate is very low, commonly around 5% to 10% so if you need a sample of 400 subjects, for example, you have to contact at least 8000 people.
Of course, never forget the main characteristics of your sample otherwise your results will be biased.