Agricultural Environmental Efficiency and Agricultural Environmental Kuznets Curve Based on Technological Gap: the Case of China

Wang, Yan; Shen, Neng

doi:10.15244/pjoes/61701

Cited by 14 publications

(5 citation statements)

References 29 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Poverty and reduction of ecological assets are highly coupled in rural China (Cao et al, 2015). Some case studies showed that the economic development and environment follow the inverted U shape of the environmental Kuznets Curve (Hassan et al, 2015; Zambrano‐Monserrate and Fernandez, 2017; Wang and Shen, 2016; Mao et al, 2013; Li et al, 2016; Zhang et al, 2015a).…”

Section: Discussionmentioning

confidence: 99%

A Theoretical Framework for Understanding the Spatial Coupling between Poverty and the Environment: A Case Study from China

et al. 2019

View full text Add to dashboard Cite

Poverty and environmental degradation is an interactive and complex issue, which needs to be addressed to pursue human sustainable development. The objective of this study was to create a theoretical framework for sustainable agriculture, considering the dynamic interaction between environment and multidimensional poverty. The model system used in this study was the region surrounding the Chinese Three Gorges reservoir. We constructed an evaluation index system to measure the dynamic interactions by employing Entropy-weight and analytic hierarchy process (AHP) methods. In this case study, we analyzed the dynamic interactive relationships between environmental degradation and rural poverty by adopting geographic information system (GIS) and comprehensive index evaluation, based on statistical (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) and remote sensing image data. We found that: (i) in the Three Gorges reservoir region (TGRR), a vicious cycle between poverty, environmental load, and livelihood is occurring; (ii) in areas stressed by environmental concerns the environmental load is the main stress factor, while in the areas stressed by poverty, livelihood is the main stress factor; and (iii) the coupling degrees between environmental degradation and poverty differ in different areas of the TGRR, and counties with adverse features have been spatially agglomerated over time; and the area with high coupling and high synergy accounts for the 38.1% of the total reservoir region. core Ideas• A coupling coordination model for the environment and rural poverty is built. • Both environment degradation and rural poverty in China's Three Gorges Reservoir Region have been deteriorated. • Coupling degrees differ observably in different areas of the Three Gorges Reservoir Region in rural China. • Main stress factors are environment load and livelihood.

show abstract

Section: Discussionmentioning

confidence: 99%

A Theoretical Framework for Understanding the Spatial Coupling between Poverty and the Environment: A Case Study from China

et al. 2019

View full text Add to dashboard Cite

show abstract

“…To further grasp the research trends in this research field, we needed to conduct data mining of the literature in more depth to capture key information and analyze its research hotspots. According to data from Web of Science, by the end of 2021, the top three countries in terms of the number of papers on AEE research were China (47), France (12), and the United States (22), followed by Germany, Greece, Italy, Australia, Sweden, Ireland, and the Netherlands (Table 2). Research on AEE has attracted extensive attention in various fields.…”

Section: An Overview Of Aee Researchmentioning

confidence: 99%

“…According to data from Web of Science, by the end of 2021, the top three countries in terms of the number of papers on AEE research were China (47), France (12), and the United States (22), followed by Germany, Greece, Italy, Australia, Sweden, Ireland, and the Netherlands (Table 2). Research on AEE has attracted extensive attention in various fields.…”

Section: An Overview Of Aee Researchmentioning

confidence: 99%

“…The results show that the spatial heterogeneity of agricultural production efficiency gradually appears. At the same time, the differences of natural factors, such as diversity index, NDVI, and socioeconomic factors, such as GDP ratio, affect AEE [22]. Multi-stakeholder initiatives (MSIs) have become the main institutional approach to promoting sustainability on a global scale.…”

Section: Theories and Hypothesis Of Aeementioning

confidence: 99%

See 1 more Smart Citation

Agricultural Eco-Efficiency: Challenges and Progress

Wang

Shi

et al. 2022

Sustainability

View full text Add to dashboard Cite

The research on agricultural eco-efficiency has become an important point to deeply understand the interaction between ecological and environmental conditions and socio-economic factors as well as realize the coordinated development of agricultural economic development and environmental protection. (1) Background: This paper attempts to provide scientific support for the healthy and stable development of the agricultural economy and the sustainable development of ecological agriculture. (2) Methods: From a comprehensive perspective, this paper systematically analyze the overall situation, development trend, key fields, and hot fields of agricultural eco-efficiency in the past two decades. It consists of two complementary parts, including systematic quantitative literature review (based on CiteSpace) and traditional literature review. (3) Results: Agricultural eco-efficiency has evolved significantly with the popularization of agricultural machinery and the wide application of science and technology in the field of agricultural ecology. Its future development relies on the advances in our knowledge on theories and hypothesis, evaluation methods, impact on “socio-economic ecological” system, and drivers and regulation of agricultural eco-efficiency. For each of these fields, we find that challenges still exist. At present, the quantitative methods and index selection are not unified. We should deeply analyze the internal and external driving force of the development and change of ecological efficiency by constructing a complete theoretical framework for the research of agricultural ecological efficiency. At the same time, new technologies and methods are needed to evaluate agricultural eco-efficiency, and a balanced consensus between the improvement of agricultural eco-efficiency and the improvement of the ecological environment should be formed through empirical research.

show abstract

“…The first national survey of pollution sources in the year of 2010 in China shows that total agricultural chemical oxygen demand, total nitrogen, and total phosphorus emissions from agricultural production activities accounted for 43.7 percent, 57.2 percent, and 67.4 percent of total emissions, respectively, indicating that agricultural pollution has exceeded industrial pollution and become the largest source of pollution in China. Agricultural pollution will cause a series of environmental problems, such as water eutrophication (Edgardo and Robert 2018), groundwater pollution (Ma et al 2018), loss of biodiversity (Muditha and Clevo 2017), soil acidification and consolidation (Guo et al 2010; Sebnem 2017), which can threaten food safety, human health, and sustainable agricultural development (Wang and Shen, 2016).…”

mentioning

confidence: 99%

Environmental Efficiency of Apple Production in China: A Translog Stochastic Frontier Analysis

Bai¹,

Salim²,

Bloch³

2019

Agric. Resour. Econom. Rev.

View full text Add to dashboard Cite

This article estimates technical and environmental efficiencies using the stochastic frontier analysis with panel data of twenty-two main apple production provinces in China during 1992–2014. Results show that the environmental efficiency for pesticide input alone has lower mean value of 0.337 than environmental efficiency for the two environmentally detrimental inputs, pesticide and chemical fertilizer, which is 0.782. Furthermore, all efficiency scores have decreasing trends over time. Loess Plateau is more environmentally efficient than the Bohai bay region. Results of output elasticities show that chemical fertilizer has a mean value of 0.225, which is higher than for material, labor, and pesticide input. Also, apple production in China experiences decreasing returns to scale. Finally, it is also discovered that labor and chemical fertilizer have a substitute relationship, while material and labor have a complementary relationship, as do chemical fertilizer and pesticide. The results from the study should prove useful for reallocating input resources and improving environmental efficiency.

show abstract

Agricultural Environmental Efficiency and Agricultural Environmental Kuznets Curve Based on Technological Gap: the Case of China

Cited by 14 publications

References 29 publications

A Theoretical Framework for Understanding the Spatial Coupling between Poverty and the Environment: A Case Study from China

A Theoretical Framework for Understanding the Spatial Coupling between Poverty and the Environment: A Case Study from China

Agricultural Eco-Efficiency: Challenges and Progress

Environmental Efficiency of Apple Production in China: A Translog Stochastic Frontier Analysis

Contact Info

Product

Resources

About