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

Xiaohong Zhuang, Zhuyuan Li, Run Zheng, Sanggyun Na and Yulin Zhou
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Xiaohong Zhuang: School of Economics and Management, Shangrao Normal University, No. 401, Zhimin Avenue, Shangrao 334001, China
Zhuyuan Li: College of Business Administration, Wonkwang University, No. 460, Iksandae-ro, Iksan 54538, Korea
Run Zheng: College of Business Administration, Wonkwang University, No. 460, Iksandae-ro, Iksan 54538, Korea
Sanggyun Na: College of Business Administration, Wonkwang University, No. 460, Iksandae-ro, Iksan 54538, Korea
Yulin Zhou: School of Mathematics and Computer Science, Shangrao Normal University, No. 401, Zhimin Avenue, Shangrao 334001, China

Sustainability, 2021, vol. 13, issue 5, 1-21

Abstract: 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.

Keywords: rural development efficiency; agricultural ecological; rural economic development; convergence (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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