Spatiotemporal Analysis of Land Use Patterns on Carbon Emissions in China

Qiaowen Lin, Lu Zhang, Bingkui Qiu, Yi Zhao and Chao Wei
Additional contact information
Qiaowen Lin: School of Economics and Management, China University of Geosciences (Wuhan), Wuhan 430079, China
Lu Zhang: School of Public Administration, Central China Normal University, Wuhan 430079, China
Bingkui Qiu: Department of Tourism Management, Jin zhong University, Jin Zhong 030619, China
Yi Zhao: School of Urban Planning & Design, Peking University Shenzhen Graduate School, Guangdong 518055, China

Land, 2021, vol. 10, issue 2, 1-13

Abstract: Nowadays, China is the world’s second largest economy and largest carbon emitter. This paper calculates the carbon emission intensity and the carbon emissions per capita of land use in 30 provinces at the national level in China from 2006 to 2016. A spatial correlation model is used to explore its spatiotemporal features. The results show that (1) China’s land use carbon emissions continued to grow from 2006 to 2016. The spatial heterogeneity of carbon emission intensity of land use initially decreased and then increased during this period. The carbon emission of land use pattern reached a peak in 2015 and the land use carbon emission intensity was relatively lower in east China; (2) southern China accounts for a majority of the total Chinese carbon sink. Better economic structure, land use structure and industrial structure will lead to lower carbon emission intensity of land use; (3) carbon emissions per capita of land use in China are affected not only by land development intensity, urbanization level, and energy consumption structure, but also by the population policy. It is significant to formulate differentiated energy and land use policies according to local conditions. This study not only provides a scientific basis for formulating different carbon emission mitigation policies for the local governments in China, but also provides theoretical reference for other developing countries for sustainable development. It contributes to the better understanding of the land use patterns on carbon emissions in China.

Keywords: carbon emission; land use pattern; spatial correlation; provinces; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)

Downloads: (external link)
https://www.mdpi.com/2073-445X/10/2/141/pdf (application/pdf)
https://www.mdpi.com/2073-445X/10/2/141/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:10:y:2021:i:2:p:141-:d:491109

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().