What drives the fluctuations of “green” productivity in China’s agricultural sector? A weighted Russell directional distance approach

Liu, Ying; Feng, Chao

doi:10.1016/j.resconrec.2019.04.013

Cited by 113 publications

(75 citation statements)

References 51 publications

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Section: Empirical Modelsmentioning

confidence: 99%

“…Conceptually, GECO changes can be decomposed into the following three variables: GTEC, GSEC, and GPEC. And this decomposition comes from many classical literatures (e.g., Färe et al, 1994;Feng et al, 2017;Liu & Feng, 2019;Song et al, 2012;Wang & Feng, 2021b;Wang et al, 2014;Yaisawarng & Klein, 1994). Therefore, combined with global DEA and slacks-based measure, following Wang et al (2014) and Zhu et al (2018), the GM index is applied to decompose GECO changes.…”

Section: The Global Malmquist Index For Decomposing Geco Changesmentioning

confidence: 99%

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The effect of resource abundance on Chinese urban green economic growth: A regional heterogeneity perspective

Tian

Feng

2021

Growth and Change

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This paper proposes a slacks‐based global DEA for Chinese urban green economic growth (GECO) and a global Malmquist index for decomposing its changes into three components, technology change (GTEC), scale efficiency change (GSEC), and pure technical efficiency change (GPEC). On this basis, using China's 286 city‐level panel data for the period 2006–2018, this paper then analyses the key driving factors of GECO and the regional heterogeneous effects of resource abundance on GECO. Results show that: (a) during the sample period, the city‐level GECO of China remains at a low level. GTEC and GSEC promote GECO, but much of this growth effect is offset by a reduction in GPEC; (b) there is negative effect of resource abundance on Chinese urban GECO. Specifically, in eastern, central, and western cities, the negative effect on GECO by adversely affecting GSEC and GPEC, while in northeast cities, the main transmission is GTEC; (c) because the key factors which affect the decompositions show different characteristics from regional heterogeneity perspective, this paper takes further step to formulate specific strategies and effective implementation of policies for the improvement of GECO in China's city level.

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Section: Empirical Modelsmentioning

confidence: 99%

Section: The Global Malmquist Index For Decomposing Geco Changesmentioning

confidence: 99%

The effect of resource abundance on Chinese urban green economic growth: A regional heterogeneity perspective

Tian

Feng

2021

Growth and Change

Self Cite

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“…The substantial development of agriculture has boosted energy demand and also led to severe environmental pollution (Yang et al, 2018). The high levels of pollution and emissions from agriculture pose a threat to the future of the nation's food and ecological security (Jiao et al, 2020;Liu and Feng, 2019). With agriculture being fundamental to the Chinese economy, green agricultural practices come into focus as one driving force, while helping to reduce pollution and maintain a sustainable ecology at the same time .…”

Section: Introductionmentioning

confidence: 99%

How Does Perceived Value Affect Kiwi Growers' Sustainable Application of Green Agricultural Technology in China? - Moderating Effect Analysis Based on Government Support

Xiang

Jianzhong

2021

Preprint

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Unsafe use of pesticides and fertilizers is a concern in rural areas of China, resulting in serious threats to environment and the quality of agricultural products. Many works have studied the factors influencing the adoption of green agricultural technology by farmers. However, few studies have explored the factors that lead to a farmer’s sustainable use of green agricultural technology. Based on a survey of 1,138 kiwi growers in Shaanxi province of China, this paper builds a theoretical model to look at this issue and conducts a series of empirical exercises to gain insight into the effects of perceived value, government support and their interaction on kiwi growers' sustainable application of green agricultural technology. We find that (1) Perceived monetary and non-monetary benefits positively affect the sustainable application of green agricultural technology by farmers while perceived monetary and non-monetary risks affect it negatively. In addition, such influence would be enhanced with an increase in the intensity of perceived value and vary with the type of green agricultural technology. (2) Both agricultural extension service and ecological subsidy, as two main forms of government support, have a positive and significant effect on the sustainable application of green agricultural technology. (3) There is also a role for the interaction effects between the influence of perceived value and government support on the sustainable application of green agricultural technology. Therefore, it has been proposed in this paper that the government should expand relevant publicity, education, training, and guidance, offer compensatory incentives for producers, and adopt guiding methods corresponding to different green agricultural technology, so as to promote the sustainable application of green production modes by farmers.

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“…After the reform and opening up of China, the comprehensive deepening reform in rural areas characterized by the household co-production contract responsibility system promoted the rapid development of agriculture [1][2][3]. Agricultural productivity has improved greatly but the intensive production mode has degraded the utilization efficiency and ecological function of agricultural resources, and thus the ecological system has been damaged [4]. At the 19th National Congress of the Communist Party of China, it was stated that the Chinese economy has changed from a stage of high-speed growth to a stage of high-quality development.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Local Officials and High Quality Development of Chinese Agriculture - Evidence from Chinese Governors and Secretaries of the Provincial Party Committee

Cui

Han

et al. 2020

Applied Mathematics and Nonlinear Sciences

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Local officials play active and important roles in the high-quality agricultural development process in China. In this study, the DEA-SBM model was used to measure the level of agricultural quality development in China, and Tobit regression was conducted to analyze the impacts of officials on agricultural quality development in China. The results showed that between 1997 and 2016, the agricultural GTFP exhibited a downward trend before following an upward trend in China. The personal characteristics of officials had important effects on the development of agricultural quality. In different development stages, officials had diverse effects on agricultural quality development.

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What drives the fluctuations of “green” productivity in China’s agricultural sector? A weighted Russell directional distance approach

Cited by 113 publications

References 51 publications

The effect of resource abundance on Chinese urban green economic growth: A regional heterogeneity perspective

The effect of resource abundance on Chinese urban green economic growth: A regional heterogeneity perspective

How Does Perceived Value Affect Kiwi Growers' Sustainable Application of Green Agricultural Technology in China? - Moderating Effect Analysis Based on Government Support

Characteristics of Local Officials and High Quality Development of Chinese Agriculture - Evidence from Chinese Governors and Secretaries of the Provincial Party Committee

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