Inter-provincial correlation of agricultural carbon emission from perspectives of space, economy and technology

doi:10.3969/j.issn.1004-1524.2020.05.20

›› 2020, Vol. 32 ›› Issue (5): 912-922.DOI: 10.3969/j.issn.1004-1524.2020.05.20

• Agricultural Economy and Development • Previous Articles Next Articles

Inter-provincial correlation of agricultural carbon emission from perspectives of space, economy and technology

HE Yanqiu, XU Jie, ZHU Siyu, CHEN Rou, DAI Xiaowen^*

College of Management, Sichuan Agricultural University, Chengdu 611130, China

Received:2019-11-06 Online:2020-05-25 Published:2020-05-29

Abstract

Abstract: Research on inter-provincial correlation of agricultural carbon emissions could lay foundation for the regional synergies, and benefit the realization of dual goals of green agriculture development and carbon emission reduction. According to the basic framework of the national greenhouse gas emissions inventory guidelines, agricultural carbon emissions were measured comprehensively in five sectors, namely, agricultural energy, farmland use, ruminant feeding, crop planting and agricultural waste. Regional correlation of carbon emissions were verified by spatial statistical analysis, and the possible reasons were explored from the perspectives of spatial adjacency, economic dependence and technological association by nonparametric QAP regression. Finally, countermeasures were proposed including optimizing energy layout, improving energy efficiency; focusing on the diffusion effect of emission reduction technologies; formulating differentiated emission reduction measures by sub-region and sub-sector; establishing “four principles, three cores” regional synergistic emission reduction mechanism.

Key words: inter-provincial correlation, spatial statistics, nonparametric regression, synergistic emission reduction

CLC Number:

S-9
F323

HE Yanqiu, XU Jie, ZHU Siyu, CHEN Rou, DAI Xiaowen. Inter-provincial correlation of agricultural carbon emission from perspectives of space, economy and technology[J]. , 2020, 32(5): 912-922.

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Inter-provincial correlation of agricultural carbon emission from perspectives of space, economy and technology

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