Chinese Journal of Agrometeorology ›› 2024, Vol. 45 ›› Issue (03): 219-231.doi: 10.3969/j.issn.1000-6362.2024.03.001

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Spatio-temporal Characteristics, Decoupling Effect and Its Driving Factors of Carbon Emissions from Planting Industry in Henan Province

CHEN Ke-jun, WANG Yong-gang, LIU Hai-bin, ZHANG Shi-qing, JIA Jia   

  1. School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China
  • Received:2023-05-15 Online:2024-03-20 Published:2024-03-13

Abstract: Based on two major types of carbon sources of agricultural materials and crop cultivation in Henan province and 18 cities from 2001 to 2021, this paper constructed a planting carbon emission measurement system to assess the planting carbon emissions during the study period and analyzed the spatial pattern. Then the Tapio decoupling model was used to explore the interactions between the planting carbon emissions and the economic development of Henan province, and the LMDI model was applied to probe the main driving factors of the planting carbon emissions. The results showed that: (1) carbon emissions from the planting industry in Henan province showed an increasing and then decreasing trend, and the total carbon emission intensity decreased year by year. (2) Agricultural fertilizer is the most important source of carbon emissions from the planting industry. (3) Carbon emissions from the planting industry in Henan province gradually showed the characteristics of "high in the south and low in the north". Meanwhile, the carbon emission intensity of the planting industry in all regions and cities showed a decreasing trend, and the spatial differences gradually narrowed. (4) Only four types of decoupling, namely strong negative decoupling, weak decoupling, expanding negative decoupling and strong decoupling, occurred during the study period. (5) Economic growth and urbanization level had a positive impact on carbon emissions from planting. Production efficiency, production structure and labor force size had negative impacts. In the future, innovation and leadership should be strengthened, classification and optimization of planting structure should be pursued in order to realize the low-carbon and high-quality development of planting industry in Henan province.

Key words: Plantation industry, Carbon emissions, Decoupling effect, LMDI model