The interaction between livelihood means and land use pattern of households is the core of the interactive coupling of the human-land system. This study focuses on Qinba mountainous area in southern Shaanxi province, a typical poverty-alleviated mountainous area. With the help of the coupling coordination degree model, kernel density estimation, and trend surface analysis, this study constructs the coupling coordination degree of livelihood efficiency and land use for households, and analyzes the differences between households’ livelihood efficiency and land use level, as well as the coupling coordination relationship between households livelihood efficiency and land use in different types and regions. The research conclusions are as follows. (1) For households in the Qinba mountainous area, southern Shaanxi province, the livelihood efficiency is at a medium level of 0.681, the land use is at a low level of 0.127, while the coupling coordination degree 0.526 is at the primary coordination state. (2) With the increase of nonagricultural degree, the coupling coordination degree of households increases first, and then decreases. (3) The coupling coordination degree for households east-to-west is “sagging”, while south-to-north diagram is “hogging”. (4) The distribution of the coupling coordination degree for agriculture-dependent households east-to-west (the “sagging” diagram) is opposite to the other types of households. By analogy, the distribution of the coupling coordination degree for nonagriculture and agriculture-dependent households north-to-south (the “hogging” diagram) is opposite to the other types of households. The coupling coordination between the households’ livelihood efficiency and land use level is affected by the households’ regional development level, natural resources, geographic location, infrastructure availability and many other factors. Making appropriate livelihood development plans based on the types of households and regional space can both effectively improve the livelihood conditions, as well as offer guidance in promoting regional human-land activity coordination and ensuring sustainable development.
In order to achieve the sustainable development of ecological resources and social economy in the Shiyang River Basin, a series of Ecological Compensation policies have been implemented in the basin. This study takes these policies as an opportunity to design an experiment. The nine counties (districts) affected by these policies are used as the experimental samples, and the period from 2000 to 2019 is the experimental period. The difference-in-differences method is used to study the effect of the series of Ecological Compensation policies in the Shiyang River Basin on the economic development of the basin. Furthermore, the regression discontinuity design was used to estimate the time and mechanism of this effect. The research found that the early start of phase I of the Key Governance Planning Project in 2006 played a significant and continuous promotive role in the economic development of the river basin; the Water Resources Allocation and Regulation Plan significantly promoted the development of tertiary industry in 2005–2007; the Key Governance Planning significantly promoted the development of primary industry in 2007–2010. The results suggest that to optimize the industrial structure to the maximum extent in the future and promote the sustainable development of ecological resources and social economy in the Shiyang River Basin, economic changes, such as water-saving green agriculture and eco-tourism, should be developed.
Environmental protection is an essential issue for sustainable development, and its execution power mainly comes from individual environmental protection behavior. This study investigates the resident environmental protection behaviors and influencing factors in the ecologically fragile areas of western China based on a total of 1062 households by adopting the participatory assessment method. Then, this study used the structural equation model to empirically analyze the impact of social capital, environmental risk perception, and environmental awareness on residents' environmental protection behavior. The results showed that environmental awareness is the basis for practicing environmental protection behavior, consistent with the existing research; social capital has a significant impact on residents' environmental protection behavior, with an impact coefficient of 0.347. Hence, environmental risk perception has an indirect influence on environmental protection behavior through environmental awareness. Besides, compared with urban residents, rural residents' environmental awareness and social capital have a stronger role in environmental protection behavior. The study clarified the influence path of residents' environmental protection behavior, thus effectively providing a decision-making basis for the government to guide residents in the environmental governance system.
The ability of the food industry to practice a high degree of corporate social responsibility is related to whether national food safety can be effectively guaranteed. By taking the food enterprises in China’s A-share listed companies from 2009–2018, this paper probes into the influence of China’s macroeconomic policy uncertainty on corporate social responsibility, and depicts the differencent impact of enterprise’s practice of social responsibility under government association and market association, respectively. The results firstly show that, the uncertainty of economic policy has a negative effect on the social responsibility of food enterprises, with a regression coefficient of -0.013. Secondly, nonstate-owned enterprises are more vulnerable to macroeconomic fluctuations in the practice of social responsibility. Thirdly, in the case of greater economic policy uncertainty, enterprises with stronger market connections in the food industry tend to be more conservative in their CSR. The above research results not only verify the path of transmission of economic policy uncertainty to corporate social responsibility, but also provide important ideas and references for improving the level of corporate social responsibility in the food industry and ensuring food safety.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.