Input–Output Efficiency of the Beijing–Tianjin Sandstorm Source Control Project and Influencing Factors

Yuxin Cui, Xuesong Gu, Zelin Liu and Jingxiong Yi
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Yuxin Cui: School of Economics and Management, Beijing Forestry University, Beijing 100083, China
Xuesong Gu: School of Economics and Management, Beijing Forestry University, Beijing 100083, China
Zelin Liu: School of Economics and Management, Beijing Forestry University, Beijing 100083, China
Jingxiong Yi: School of Economics and Management, Beijing Forestry University, Beijing 100083, China

Sustainability, 2022, vol. 14, issue 14, 1-16

Abstract: From the perspective of economic benefit, this paper uses the DEA method to measure the input–output efficiency of the Beijing–Tianjin sandstorm source control project in Beijing, Hebei, Shanxi, and Inner Mongolia. The results show that from 2003 to 2019, the efficiency of the four regions revealed a U-shaped trend, first decreasing and then increasing, which reflects the lagging characteristics of forestry engineering. The TFP of the sand source control project in these four places was calculated; the average efficiency growth rate was 1.4%, and it was found to be affected greatly by the rate of technological progress. The Tobit model was used to explore the influencing factors, and the results show that educational input and economic development level have a great effect on efficiency, fiscal pressure has a small effect on efficiency, and financial development level has a restraining effect on efficiency.

Keywords: sand source control project; input–output efficiency; influencing factors; DEA–Tobit model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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