The Efficiency of China’s Agricultural Circular Economy and Its Influencing Factors under the Rural Revitalization Strategy: A DEA–Malmquist–Tobit Approach

Chenghan Guo, Rong Zhang and Yuntao Zou ()
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Chenghan Guo: School of Business, University of Queensland, Toowoomba, QLD 4350, Australia
Rong Zhang: FutureFront Interdisciplinary Research Institute, Wuhan 430074, China
Yuntao Zou: FutureFront Interdisciplinary Research Institute, Wuhan 430074, China

Agriculture, 2023, vol. 13, issue 7, 1-26

Abstract: In 2018, the Chinese government proposed the Rural Revitalization Strategy with the objective of bolstering economic development, social progress, and ecological protection in rural areas, thereby achieving rural modernization. This paper employs the Data Envelopment Analysis (DEA) method and the Malmquist index model to measure the efficiency and changes of the agricultural circular economy in 31 provinces and cities in China from 2017 to 2020. Using Tobit regression, we further examine the correlation analysis in the context of the rural revitalization policy. The study reveals that the efficiency of China’s agricultural circular economy continued to grow between 2017 and 2020. The policy of the rural revitalization strategy significantly impacts the efficiency of the agricultural circular economy. Government financial support has a significant positive influence on the efficiency of the agricultural circular economy. Based on the research findings, we proposed several constructive suggestions.

Keywords: agriculture; circular economy; efficiency; rural revitalization; DEA; Malmquist; Tobit (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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