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Research on the Efficiency and Improvement of Rural Development in China: Based on Two-Stage Network SBM Model

1
School of Economics and Management, Shangrao Normal University, No. 401, Zhimin Avenue, Shangrao 334001, China
2
College of Business Administration, Wonkwang University, No. 460, Iksandae-ro, Iksan 54538, Korea
3
School of Mathematics and Computer Science, Shangrao Normal University, No. 401, Zhimin Avenue, Shangrao 334001, China
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(5), 2914; https://doi.org/10.3390/su13052914
Received: 9 January 2021 / Revised: 1 February 2021 / Accepted: 4 February 2021 / Published: 8 March 2021
(This article belongs to the Section Sustainable Agriculture)
China has always been a major agricultural country, and the issues of agriculture, rural areas and farmers have always been fundamental issues of China’s reform and development. First of all, most previous studies did not combine agricultural development with rural economic development to consider the rural development status. Through the network-slack-based measure (SBM) model, agricultural development and rural economic development are taken as the first stage and the second stage, respectively, to determine the overall efficiency of rural development. Secondly, most previous studies directly selected a number of agricultural materials as inputs to evaluate agricultural production efficiency, and did not consider the impact of a variety of agricultural materials comprehensively. We use the entropy method to calculate a comprehensive index including a variety of agricultural materials. Third, most previous studies did not take into account the harmful effects of agricultural production on the environment. We take carbon emissions and agricultural non-point source pollution (ANPSP) as undesirable outputs into the model, and consider the impact of agricultural production on the ecological environment comprehensively. On the basis of the above innovation, we adopt the two-stage SBM-undesirable model to comprehensively and systematically study the efficiency of rural development in China. Furthermore, the gap of rural development efficiency is determined by sigma convergence and a convergence test. All the data are from the National Bureau of Statistics of China. The results show that the development level of China’s rural agricultural eco-efficiency is significantly higher than that of rural economic development, and the low efficiency of the whole rural development is mainly affected by the low efficiency of rural economic development. The distribution of efficiency value shows that the eastern region is the best, and the development level of the remaining three regions is very low. The regional development gap is large, and this gap still exists for a long period of time. Nevertheless, the efficiency of rural development has improved year by year. Based on empirical analysis, we put forward some feasible suggestions to provide reference for policymakers in formulating rural development policies, narrowing the regional gap and rural sustainable development. View Full-Text
Keywords: rural development efficiency; agricultural ecological; rural economic development; convergence rural development efficiency; agricultural ecological; rural economic development; convergence
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MDPI and ACS Style

Zhuang, X.; Li, Z.; Zheng, R.; Na, S.; Zhou, Y. Research on the Efficiency and Improvement of Rural Development in China: Based on Two-Stage Network SBM Model. Sustainability 2021, 13, 2914. https://doi.org/10.3390/su13052914

AMA Style

Zhuang X, Li Z, Zheng R, Na S, Zhou Y. Research on the Efficiency and Improvement of Rural Development in China: Based on Two-Stage Network SBM Model. Sustainability. 2021; 13(5):2914. https://doi.org/10.3390/su13052914

Chicago/Turabian Style

Zhuang, Xiaohong, Zhuyuan Li, Run Zheng, Sanggyun Na, and Yulin Zhou. 2021. "Research on the Efficiency and Improvement of Rural Development in China: Based on Two-Stage Network SBM Model" Sustainability 13, no. 5: 2914. https://doi.org/10.3390/su13052914

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