
Malin SongAnhui University of Finance and Economics | AUFE
Malin Song
Doctor of Philosophy
About
274
Publications
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9,808
Citations
Citations since 2017
Publications
Publications (274)
Although market-based CO2 emission control measures (e.g., carbon tax and carbon trading market) have been deeply discussed, government-based measures have received limited attention. This has led to increased uncertainty regarding the formulation of targeted emission reduction policies. Using a unique dataset, the non-radial directional distance f...
In the era of internet-based information, how to promote sustainable low-carbon consumption by residents through information incentives and social influence is a pressing question that needs to be solved urgently. This study develops an explanatory model to explain how information incentives and social influence affect sustainable low-carbon consum...
A R T I C L E I N F O JEL classification: O33 Q40 Q49 Keywords: Digital industry Energy industry Fusion Evaluation index system Influence factor A B S T R A C T The fusion of digital and energy industries is an efficacious route to advance the high-quality development of the energy system and ensure energy security. This study explored the fusion m...
Due to the significant impact of COVID-19, financial markets in various countries have undergone drastic fluctuations. Accurately measuring risk in the financial market and mastering the changing rules of the stock market are of great importance to macro-control and financial market management of the government. This paper focuses on the return rat...
Digital technology has a significant impact on most industries in the 21st century. The publishing industry is also facing digital transformation, and the traditional paper business is considered polluted and wasteful as it generates carbon emissions. To compare the influence of digital paperless business with the traditional one on environmental p...
This study extends the measurement of plant capacity utilization by incorporating undesirable outputs. We select indicators through feature selection in machine learning and also introduce an undesirable output for assessment in these models. By defining and applying four plant capacity concepts, we analyze plant capacity utilization in health inst...
Energy transformation is a crucial means of China’s commitment response to climate change. However, the renewable energy market has the characteristics of long-term return, high financing constraints, and relies on the support of an effective financial system. Using panel data from 30 provinces in China from 2006 to 2018, this study uses a panel ve...
This study presents an analytical framework for examining how remanufacturing rate, consumer buying behavior, and consumer preferences impact a supply chain's economic and environmental outcomes. An original equipment manufacturer and a third‐party remanufacturer make decisions influenced by the competitive leverage of relicensing fees and the maxi...
Development Geography is a branch of geography which studies the socio-economic development of different countries and regions worldwide. Its related research provides informative ideas for promoting regionally coordinated development. The study introduces the basic connotation and theory of Development Geography research, and clarifies its primary...
Regional innovation systems (RISs) characterized periodical and is suitable for analyzing the Chinese economy which has entered the new normal. However, few scholars analyze and identify the stage of RISs from the perspective of life cycle. This paper divides the life cycle of RISs into four stages: initial stage, growth stage, maturity stage, and...
The renewable electricity quota standard (RES) policy plays an important role in achieving sustainable and green development targets. Thus, it is essential to measure the sustainability of the electric power sectors in the context of RES. In terms of the energy and environmental efficiency (EEE) measurements, few studies divided energy inputs into...
As the second-largest economy in the world with both high-energy consumption and high‑carbon emission, China has launched several green finance pilot zones (GFPZ) targeting regional sustainable development goals (SDGs). Despite critical policy significance, whether and how green finance affects green innovation by enterprises still remains not well...
The national priority of carbon neutrality and decarbonization goals drive the transformation and upgrading of China’s construction industry. The production of green building materials is one of the key ways to decrease carbon emission. To better promote the green development of the construction industry and the realization of the decarbonization g...
Based on the panel data of 20 countries in EU during the period of 2007–2019, this paper study the effect of energy market integration (EMI) on renewable energy development (RED). We develop a general equilibrium model to explain how EMI affect the RED and the role of different mechanisms. The empirical results reports that the European EMI increas...
Natural resource assets-liabilities accounting is an essential theoretical and institutional innovation in constructing China's ecological civilization. As the primary account of the natural resources balance sheet, energy resources have typicality and representativeness. Unlike previous research focused on theoretical and practical research, this...
Due to the asymmetry of information on the potential of coal reduction in each province, Chinese coal reduction plans and “coal-to-gas” policy are often not well-implemented. In this study, we proposed a nonparametric production frontier model to calculate the potential for coal reduction. Compared with the existing research, the model has many adv...
Purpose
This paper aims to examine the impact and mechanism of digital development on enterprise labor productivity. In addition, this study empirically analyzes the nonlinear impact of digitalization on labor productivity.
Design/methodology/approach
This paper uses a fixed effect model, a mediation effect model and a panel threshold model to tes...
The COVID-19 pandemic has affected the global economy to varying degrees. Coupled with the widening gap caused by the unbalanced distribution of resources, the sustainability and inclusiveness of economic growth have been challenged. To explore the influencing factors of the level of economic inclusive growth among different countries, we used the...
As countries pay more attention to the issue of global warming, the solution of carbon emission reduction has important practical value. Most of the existing literature studied the driving factors of embodied carbon emissions. This paper creatively focuses on the impact of technological progress on embodied carbon emissions and on the embodied carb...
Manufacturing transfer is an important factor in optimizing the spatial distribution of resources and promoting regional environmental efficiency. Based on the manufacturing data of 30 provinces in China from 2005 to 2017, the spatial Durbin model is used to investigate the impact of three types of manufacturing transfer and spatial agglomeration e...
While achieving rapid economic growth, the pressure caused by environmental pollution and resource depletion has increasingly become a bottleneck in China’s economic development, making the development of a circular economy particularly important. The extant literature has not focused on the influence of environmental regulation
on a circular econo...
The anti-epidemic supply chain plays an important role in the prevention and control of the COVID-19 pandemic. Prior research has focused on studying the facility location, inventory management, and route optimization of the supply chain by using certain parameters and models. Nevertheless, uncertainty, as a vital influence factor, greatly affects...
At the present stage, economic high quality has become an inevitable trend for the healthy development of society. Environmental regulation of new green innovation initiatives has become a breakthrough for economic high quality. The optimization and upgrading of the industrial structure will also have an unprecedented impact on the sustainable grow...
This study analyzes air quality as a factor affecting Chinese stock market liquidity through the transmission mechanism of investor sentiment. Monthly time-series data from 2014 to 2018 are selected to analyze the air quality index, investor sentiment index, and turnover rate. The static and dynamic relationships among air quality, investor sentime...
Transportation infrastructure is the foundation of economic growth, and the existence
of high-quality roads is inseparable from their durable maintenance. However, the
burden of heavy debt has brought risks to maintenance management and distorted
resource allocation. This study builds a two-stage optimal theoretical model under
different debt-finan...
Renewable energy is significant for addressing climate change and energy security. This study focused on the drivers of China’s renewable energy consumption (REC) by an extended production-theoretical decomposition analysis and emphasized REC technical efficiency and technological change in 28 provinces during 1997–2017. We then projected China’s R...
The complexity and sustainability of technology are both important standards to measure innovation quality. As the diffusion of innovation is generated outside the region, patent transfer may have a promoting or crowding-out effect on urban innovation quality. We analyzed the spatial distribution characteristics of China’s urban patent transfer net...
As one of the important natural resources, water resources are related to the future survival and development of human beings. In recent years, the problem of water resources security has become more and more prominent, and it is urgent to study water resources security. Taking 30 provinces and cities in China as an example, this paper constructs a...
As fundamental data, gross domestic product (GDP) and electricity consumption can be used to effectively evaluate economic status and living standards of residents. Some scholars have estimated gridded GDP and electricity consumption. However, such gridded data have shortcomings, including overestimating real GDP growth, ignoring the heterogeneity...
Global warming is one of the largest challenges humankind is facing in this century, and how to achieve low-carbon economy has become one of the most attractive topics of global concern. However, evaluations of the low-carbon economy are insufficient due to limited methodologies and data availability. In this study, satellite data (i.e., night-time...
As a panacea for solving the negative externalities of innovation, responsible innovation has attracted widespread attention from all walks of life. The prior research has studied the concepts, methods, applications, and influence factors of responsible innovation. However, few studies have investigated the driving role of innovative factor inputs...
As a widely used indicator, carbon intensity (CI) may be overestimated because of the efficiency loss in the production process, while the corresponding complex network remains largely disregarded. This study constructed an adjusted CI (ACI) indicator by considering the technical efficiency using a non-radial directional distance function during 19...
Ensuring access to affordable, reliable, sustainable, and modern clean energy is essential for economic development, making energy poverty a pressing matter for both developing and developed countries. Studies have shown that low levels of income and consumption indicate poverty, and the essence of poverty is “capability poverty,” which has formed...
Energy is an essential factor for the survival of industries. Energy can affect the industrial productivity related to the economic activities, and the fluctuation of energy price will influence the final energy consumption level. In this paper, we use the input–output price model to study the relationship between the fluctuation of energy price an...
Accelerating the development of renewable energy is seen as an effective way for achieving the goals of carbon peak and carbon neutrality. The polices of Renewable Electricity Standard (RES) and Renewable Energy Certificates (REC) play increasing and important roles in developing renewable energy. In this paper, we develop an analytical model to an...
The sustainable use of water resources is a fundamental and strategic issue for sustainable economic and social development. Thus, it is vital to strengthen the research on the sustainable use and recycling of water resources. Based on data envelopment analysis, an Epsilon-based measure super-efficiency model considering undesirable output is const...
Using the combined weighting method and the super‐efficiency Slack‐Based Measure (SBM) model, this study evaluates urban‐rural integration and land‐use efficiency across 30 provinces in China. Additionally, we explore the coupling and coordination relationship between them. The results show that the overall urban‐rural integration level and land‐us...
In-depth investigation of the spatiotemporal driver patterns of city carbon
emissions is vital toward establishing carbon neutrality, as such knowledge would aid
policymakers in formulating differentiated emission reduction policies. Through developing a unique carbon emission dataset and applying a spatiotemporal logarithmic mean Divisia index dec...
This study investigates whether China's smart city pilots (SCPs) have promoted efficiency in cities' economic and ecological operations and proposes a directional distance function model for super efficiency. Our model captures the economic flexibility of smart cities in China by exploiting slack aspects. We employ this model and other methods to s...
This paper aims to analyze the green efficiency performance of the logistics industry in China’s 30 provinces from 2008 to 2017. We first evaluate the green efficiency of the logistics industry through the non-directional distance function method. Then, we use the functional clustering method funHDDC, which is one of the popular machine learning me...
In response to climate change, the Chinese government has set a clear goal to reach its carbon peak by 2030 and achieve carbon neutrality by 2060, endeavoring to gradually realize net-zero carbon dioxide (CO2) emissions. This paper explores the concept of carbon neutrality and makes a comparative analysis of the gap between China, the European Unio...
The implementation of Industry 4.0 has had an important impact on the value creation of the manufacturing industry, but there are few studies on its driving mechanisms and effect on total factor productivity. In this study, green technology progress is selected as an important representation of Industry 4.0, and samples of China's A-share resource-...
Climate change mitigation and food security are sustainable development goals (SDGs) of the United Nations. Despite extensive studies focused on the nexus of different SDGs and corresponding mechanisms, the distribution effect of carbon-food nexus and its driver has received limited attention, hindering policy making for balancing pathways of regio...
While China pledged to achieve carbon neutrality (CN) by 2060, the regional heterogeneity of CN received a limited attention, causing biased Pareto optimality when facilitating regional CN policy. This study focused on regional heterogeneity of CN based on vegetation carbon sequestration from perspectives of convergence, driver, and inequality acro...
This study evaluates the link between human capital, energy consumption, and economic growth using data for the Chinese economy from 1971 to 2018. To test the cointegration relationship between disaggregated energy, human capital, and economic growth, a bounds testing approach is applied by taking the structural breaks into consideration. The estim...
This paper analyzes the impact of bilateral trade among the BRICS countries on fossil energy consumption. Trade costs and economic scales on both sides have barely been considered in previous literature when bilateral trade impacts fossil energy. Using export data, energy-related data, and the GDP from the BRICS countries from 2000 to 2019, we anal...
Emissions trading is presumed to be one of the several effective means to solve the externality of environmental pollution in enterprises. However, previous studies hold varying opinions on the effectiveness of China's sulfur dioxide emissions trading pilot scheme (SETPS). Based on the panel data from 30 provinces in China from 2000 to 2015, the pr...
This paper considers government competition and other behaviors under open conditions. Based on urban data for the China Huaihe River ecological economic belt from 2004 to 2016, we establish an interactive effect panel data model. An iterative algorithm is adopted to analyze the factors influencing the prices of comprehensive land, commercial land,...
The increase in coal consumption and its impact on the environment has become a bottleneck that hinders sustainable development. This paper discusses the effect of economic growth and coal intensity on China's coal consumption during 2005-2017 using the Laspeyres index decomposition method. The decoupling of coal consumption from economic growth wa...
Construction of the Huaihe River ecological-economic belt—an important component of the “One Belt, One Road” initiative—is essential for the development of central China. Urban competitiveness can reflect the level of urban development and comprehensive strength that, in turn, determine the trend of urban development. To evaluate urban competitiven...
This study has analyzed food supply chains from the circular economy viewpoint with a focus on knowledge hiding. In this paper, we examine the practice of hiding knowledge among stakeholders, in which dimension, what this knowledge is and whether there are differences among specific groups of stakeholders. This is applied to distributors, producers...
For all countries worldwide, energy economic security is an issue that needs extensive attention, even though the related focus areas might be different. Each country should ensure energy economic security and promote sustainable development according to its own specific situation. Nevertheless, the energy economic security of different countries h...
This study analyzed the effects of urban governance and city size on COVID-19 prevention and control measures. Based on real-time data in 276 prefecture-level Chinese cities, we used the ordinary least squares plus robust standard error strategy. It was found that: (1) despite the non-significant effect of city size, urban governance capacity was a...
Purpose
The COVID-19 pandemic is still raging, which calls for an exploration of how to prevent and control pandemics to promote sustainable development. The purpose of this paper is to examine the role of the digital economy in sustainable development, the relationship between the two, the impacts of the outbreak on economic and social development...
China is facing unprecedented pressure to control its carbon emissions as it is the
biggest emitter across the world. The Chinese central government has shown its
ambition to reduce carbon emissions by proposing to change the current energy
structure by encouraging the use of renewable energy. To identify how this
development can help China improve...
Although technological progress has greatly reduced energy use, the actual energy savings have always been lower than the potential conservations. This is known as the “energy rebound effect.” This paper estimated energy rebound effects of China's fossil and non-fossil fuel consumption. Additionally, this study derived an improved approach for deco...
Air pollution control is crucial for promoting the modernization of governance systems and efficiency. To address the subjective contrived factors and errors in the gross domestic product (GDP) data in traditional statistical almanacs, our study aims to construct a panel data model of 287 prefecture-level cities for the period from 1998–2016 (using...
As an emerging and transforming market, China has emphasized the key role of technological innovation and industrial structural change in economic growth. Using a nonlinear econometric model and provincial data from 2000 to 2014, this study investigates the direction of technological innovation and structural change for driving China's economic gro...
The rapid development of the labor division system of the global value chain not only improves the technological level of developing countries but also creates opportunities for developed countries that dominate the global value chain to transfer pollution-intensive production links to developing countries. When faced with the pressure of environme...
Food Supply Chains (FSCs) are among the essential services in a pandemic. Perishable food supply chains (PFSC) perform under higher risks as they struggle against greater wastage and product life cycle issues along with the logistics, operational, financial, and health risks during the COVID-19 pandemic. While facing these contingencies, it is esse...
Improving green innovation efficiency (GIE) is crucial for attaining sustainability in China's stage of high-quality development. However, there is a paucity of research on the roles of and links among the government and market in GIE. This study bridges this research gap by unifying marketization, local government competition, and GIE into one emp...
Purpose - The purpose of this research is to consider how quality should be conceptualized in order to improve understanding for researchers and practitioners. Some researchers have discussed quality in terms of an essence or necessary condition. Others have regarded quality as individual and experiential, based on differences in actors' conception...
Maintaining steady economic growth while considering environmental protection and achieving high-efficiency energy utilization is a challenge that China is’ increasingly facing in the new normal. This study employs the super-efficiency data envelopment analysis and spatial econometric model to analyze energy utilization efficiency against the backd...
As China's marine strategic position continues to emerge, its ecological security issues have become increasingly critical. The research is based on economic and social subsystems, with marine ecological security subsystem as the core. A comprehensive multifunctional composite system dynamics model of marine ecological safety is constructed, and da...
Accurate, long-term, full-coverage carbon dioxide (CO 2 ) data in units of prefecture-level cities are necessary for evaluations of CO 2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program’s Operation...
Understanding the relationship between carbon emissions and vegetation carbon sequestration is essential for reducing the greenhouse effect. In this study, we constructed a carbon balance pressure index to measure the eco-environment pressure caused by carbon emissions in 77 countries from 2000 to 2015, and the logarithmic mean Divisia index decomp...
This paper analyzes the competitiveness and bilateral trade complementarities of BRICS countries (i.e., Brazil, Russia, India, China, and South Africa) with respect to their fossil energy trade and explores the reasons for changes in fossil energy complementarities. By introducing the logarithmic mean divisia index (LMDI) method, this study links t...
PM2.5 emissions have become a source of severe air pollution in China during recent years, and an increasing number of studies have focused on these emissions and their drivers’ impacts. However, most studies have relied on econometric models and only show the raw relationship between different socioeconomic drivers and PM2.5 pollution, ignoring th...
The development of renewable energy in Fujian province has entered a bottleneck period in recent years. Considering the impact of COVID-19, how to formulate the provincial energy development strategy based on the 14th Five-year Plan is an important issue that need to be addressed for Fujian. This paper constructs a provincial Computable General Equ...
Quantitative evaluation of the impact of traffic accessibility within large cities on innovation quality is conducive to a better understanding of urban governance and sustainable development. This paper analyzed the impact of traffic accessibility on regional and enterprise innovation using the big data from a floating car track monitored by the p...
The Chinese government has proposed to establish an ecological compensation (EC) mechanism for air quality to deal with the country's serious air pollution problem; however, the process has not progressed smoothly due to a lack of specific technical guidance. This study draws lessons from the preliminary pilot projects that some provinces and citie...
Spatial differences in CO 2 emissions must be taken into account in CO 2 mitigation. In this work, a spatial within− between logarithmic mean Divisia index decomposition model was developed by using cluster analysis to evaluate the potential role of fiscal decentralization in driving interprovincial differences in CO 2 emissions in China. The resul...
Data from China’s Ministry of Civil Affairs show that more than 75% of the country’s poor live in rural areas. Therefore, to achieve the goal of poverty alleviation by 2020, the problem of rural poverty requires urgent attention. Based on the entropy method, we herein assess the level of poverty vulnerability in each province in China to guide the...
Differentiated policies are key to improving the CO2 emissions reduction efficiency of cities, which are vital in mitigating climate change. The K-means cluster method and spatial logarithmic Divisia index decomposition method were used on the data of 279 cities in China to examine the impacts of local public expenditure on CO2 emissions in the con...
The information industry leads the digital revolution and innovation. With regards to what economic impact the development of the industry will bring about, there has been minimal focus from literature. This paper fills the knowledge gap by using a dynamic computable general equilibrium model. The results show the development will rapidly promote e...
Although energy technological progress has been regarded as an important driver for reducing carbon emissions, the existence of carbon rebound effect prevents a portion of the potential carbon reductions to be realized. Compared with the energy rebound effect, research on the carbon rebound effect is scarce because it is always equated with the ene...