Impact of Forest City Selection on Green Total Factor Productivity in China under the Background of Sustainable Development

Author:

Wang Yameng1ORCID,Zou Fan1,Guo Wenqing1,Lu Weinan2,Deng Yuanjie3ORCID

Affiliation:

1. School of Economics, Qufu Normal University, Rizhao 276800, China

2. Rural Economic Research Center, Ministry of Agriculture and Rural Affairs, Beijing 100010, China

3. School of Economics, Sichuan University of Science and Engineering, Zigong 643000, China

Abstract

In the critical period of strengthening the construction of ecological civilization, the construction of forest cities has become an important measure to promote urban ecosystem restoration and achieve sustainable development. Based on the mechanism of forest city promoting green development, the construction of a national forest city is regarded as a “quasi-natural experiment”. Using China’s urban panel data from 2005 to 2019, the impact of national forest city construction on urban green total factor productivity was evaluated using Multistage asymptotic double difference. The results show that National Forest Cities with environmental regulation can significantly promote regional green total factor productivity, which is still valid after a series of Robustness tests. Mechanism analysis shows that forest city construction not only affects territorial spatial planning but also forms a linkage with green technology innovation, mutual promotion and mutual promotion to jointly promote the sustainable development goals. This paper argues that building a national forest city is an important measure to achieve China’s sustainable development goals in the new era, but in the process of policy implementation, it is necessary to implement the national forest city selection system according to local conditions.

Funder

General Project of Philosophy and Social Science Research Project of Colleges and Universities in Shandong Province

Excellent Youth Innovation Team of Colleges and Universities in Shandong Province

Science and Technology Bureau of Rizhao

Key Laboratory of Philosophy and Social Science of Sichuan Province—Key Laboratory of Digital Intelligent Management and Ecological Decision Optimization of Baijiu in the Upper Yangtze River Region

Collaborative Innovation Center for Upper Yangtze River Shipping and Logistics

Publisher

MDPI AG

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