Spatial correlation of China’s agricultural greenhouse gas emissions: a technology spillover perspective

Yanqiu He (), Xueying Cheng, Fang Wang and Ya Cheng
Additional contact information
Yanqiu He: Sichuan Agricultural University
Xueying Cheng: Sichuan Agricultural University
Fang Wang: Sichuan Agricultural University
Ya Cheng: Sichuan Agricultural University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 104, issue 3, No 29, 2590 pages

Abstract: Abstract Global warming is a key issue that is related to the sustainable development of various countries, and agricultural sectors are particularly vulnerable to the effects of climate change and increasing climate variability. To obtain a better understanding of agricultural greenhouse gas (GHG) emissions, the estimation method proposed by the Intergovernmental Panel on Climate Change was used to estimate agricultural GHG emissions in 31 provinces in China with respect to five factors: agricultural energy consumption, agricultural farmland utilization, crop cultivation, ruminant feeding, and straw burning. To analyze emission reduction strategy interactions as well as the spillover of agricultural technical information between regions, we used the spatial Durbin model and further explored the different channels of technology spillover. The results obtained were as follows: (1) ruminant feeding and straw burning are the major sources of agricultural GHG emissions in China; (2) emission reduction strategies interact in the various regions, and imitation behaviors are increasing; (3) the correlation of agricultural GHG emission reduction in the different regions in China is not only limited to direct imitation behaviors, and it also reflects the spillover of technical information, i.e., agricultural technological progress plays an important role in the regional linkages of agricultural GHG emissions; (4) a shortening of the economic distance facilitates agricultural technology exchanges between regions. Therefore, to reduce agricultural GHG emissions, it is recommended that all regions should establish regional cooperative emission reduction mechanisms via agricultural technical cooperation.

Keywords: Agricultural GHG emissions; Technology spillovers; Strategic interaction; Spillover channels; Spatial Durbin model (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-020-04285-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:nathaz:v:104:y:2020:i:3:d:10.1007_s11069-020-04285-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-020-04285-1

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().