The Carbon Emission Intensity of Industrial Land in China: Spatiotemporal Characteristics and Driving Factors

Liangen Zeng, Chengming Li, Zhongqi Liang, Xuhai Zhao, Haoyu Hu, Xiao Wang, Dandan Yuan, Zhao Yu, Tingzhang Yang, Jingming Lu, Qi Huang and Fuyao Qu
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Liangen Zeng: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Chengming Li: School of Economics, Minzu University of China, Beijing 100871, China
Zhongqi Liang: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Xuhai Zhao: School of Economics and Management, Tsinghua University, Beijing 100871, China
Haoyu Hu: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Xiao Wang: Guanghua School of Management, Peking University, Beijing 100871, China
Dandan Yuan: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Zhao Yu: Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
Tingzhang Yang: College of Business and Economics, Australian National University, Canberra, ACT 2600, Australia
Jingming Lu: School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China
Qi Huang: School of Software and Microelectronics, Peking University, Beijing 100871, China
Fuyao Qu: School of Economics, Peking University, Beijing 100871, China

Land, 2022, vol. 11, issue 8, 1-19

Abstract: CO 2 emission reduction has become a consensus all around the world. This paper investigates the spatiotemporal characteristics of industrial land carbon emission intensity (ILCEI) in China by spatial autocorrelation analysis, and applies the spatial Durbin model to reveal the influence of driving factors on ILCEI. The results indicate the following: (1) national ILCEI first shows a downward and then an upward trend during the period and presents a low pattern in both Eastern and Northeastern regions and a high pattern in the Northwestern region. (2) From a global perspective, ILCEI shows significant spatial agglomeration characteristics; from a local perspective, ILCEI is dominated by H-H and L-L agglomeration types, showing that spatial heterogeneity and spatial dependence are apparent in ILCEI. (3) ILCEI is significantly negatively affected by both R & D personnel and foreign-trade dependence, while urban population density notably has positive impacts on ILCEI. This paper is a beneficial policy practice for harmonizing the contradiction between industrial land expansion and carbon discharge.

Keywords: industrial land carbon emission intensity; spatiotemporal characteristics; spatial Durbin model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:8:p:1156-:d:872122

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