Geetha Mohan's research while affiliated with University of Toyama and other places

... Further, there are scant empirical studies on interactions between adaptation strategies recommended for farmers and their contributions toward achieving SDGs (1: no poverty and 2: zero hunger) in Africa, particularly in Tanzania. SDGs 1 and 2 are the most critical goals in Africa as the region is the poorest and most food insecure globally [9]. Agriculture is the primary economic activity, which employs many people on the continent, and is considered an important sector in alleviating poverty, ending hunger, and achieving food security [9]. ...

... Water is associated with many sectors and affects the increases and decreases in production of sectors [11]; water stands out as the most critical sustainable development challenge since it deals with the most valuable and limited resource on earth. If water becomes scarce or threatened, it causes risks to economic, social, and environmental sustainability [12]. Moreover, water also influences the increases and decreases in SDG indicators, as demonstrated in the literature on SDG interlinkages [8]. ...

... Farmers may also have information on appropriate crop varieties depending on the weather and climatic condition at the local level [15][16][17]. Access to smart climate agricultural information such as conservation agriculture (minimum tillage/crop residue retention, crop diversity/association and crop rotation) is also critical for adaptation in Zambia [19,20]. In addition, crop and livestock diversification information is key to climate change adaptation to ensure resilience to climate-related shocks [15][16][17]. ...

... Surveillance efforts take place at multiple scales: building or facility (Gibas et al., 2021;Scott et al., 2021;Sellers et al., 2022;Vo et al., 2022), neighborhood (Ahmed et al., 2021;Haak et al., 2022;Rios et al., 2021), and city or wastewater treatment plant (Gonzalez et al., 2020;Smyth et al., 2022;Swift et al., 2021). The U.S. of individuals by clinical testing, it can be implemented in low to middle income countries (Shrestha et al., 2021), which furthers a more equitable response to global health crises such as pandemics. ...

... As a result, the potential multifunctionality offered by UA is not yet engaged in land use planning in many places, which is one of the main obstacles to its adoption, especially in the Global South, where NBS are still timidly implemented [66]. Therefore, understanding UA's multifunctionality in different geographic contexts is fundamental for its incorporation into urban planning [67]. ...

... Current foreign research about rural sustainability focused on explanation of concepts and theoretical connotations, such as "rural" and "rurality" (Crouch et al., 2022;Hecht, 2010;Murchie et al., 2018). And some scholars used international regional sustainable development indicators to evaluate rural development from economic, ecology, and social aspects (Baffoe et al., 2021;Diaz-Sarachaga, 2020). More attention in Chinese research has been given to rural sustainable development involving agricultural and rural modernization evaluation and rural revitalization evaluation (Hu et al., 2022;Wang et al., 2020;Zhang et al., 2020). ...

... Thus, the industry is expected to have a high multiplier effect on the economy with relatively low elasticity emissions and better income distribution. According to [24], the Leontief Input-Output (IO) model is crucial for structural analysis and is widely used in the global academic community. Technically, this paper develops the standard IO into Miyazawa IO and has a more detailed energy balance to identify ICTrelated sectors and support a green economy, promoting sustainable development. ...

... As an example, most of the nitrogen (N) and phosphorus (P) in surface water (including groundwater) are related to agricultural activities (Woli et al. 2004;Zou et al. 2020), and organic pollution can be driven by industry and domestic wastewater discharged from activities in urban areas (Yu et al. 2016). Different methods were employed to investigate the impacts of land uses on water quality such as multivariate statistical methods including ensemble of ordinary least squares (OLS) (Rimba et al. 2021) and stepwise multiple linear regression (SMLR) (Lei et al. 2021), geographically weighted regression (Wu et al. 2017), and redundancy analysis (RDA) (Peng and Li 2021), as well as hydrological models (Zeiger et al. 2021). Among these techniques, RDA proved to be one of the most efficient methods and obtained common usage in different parts of the world, recently. ...

... For example, some reviews have focused on the origin, description, theory and practice of the nexus approach, with particular reference to the water-energy-food nexus (Allouche et al., 2015;Leck et al., 2015;Scott et al., 2015;Endo et al., 2017;Simpson and Jewitt, 2019). Some reviews have focused on bibliometric trends, again mostly focusing on the waterenergy-food nexus (Albrecht et al., 2018;Newell et al., 2019;Itayi et al., 2021;Proctor et al., 2021;Taguta et al., 2022). Other reviews have focused on the state of knowledge and future research directions about the nexus approach in relation to the global sustainability agenda (Boas et al., 2016;Liu et al., 2018;van Zanten and van Tulder, 2021). ...

... The pressure resulting from the driving force leads to changes in the state of environmental components, such as water, air, and soil quality. This environmental degradation creates an elevated threat to economic growth and development (Chapagain et al., 2020). Change in environmental quality is a combination of physical, chemical, and biological conditions. ...