中国农业气象 ›› 2024, Vol. 45 ›› Issue (03): 219-231.doi: 10.3969/j.issn.1000-6362.2024.03.001

• 农业气候资源与气候变化栏目 •    下一篇

河南种植业碳排放时空特征、脱钩效应及其驱动因素

陈柯君,王永刚,刘海斌,张诗青,贾佳   

  1. 郑州航空工业管理学院管理工程学院,郑州450046
  • 收稿日期:2023-05-15 出版日期:2024-03-20 发布日期:2024-03-13
  • 作者简介:陈柯君,E-mail:1059206946@qq.com
  • 基金资助:
    河南省哲学社会科学规划项目(2021BJJ099);河南省重点研发与推广专项(科技攻关)项目(222102320374; 232102321111);河南省重点研发与推广专项(科技攻关)项目(232102321055)

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

摘要: 基于2001−2021年河南省以及18个地市历年农资投入和农作物种植两大类碳源,构建种植业碳排放测算体系,评估研究期内河南省种植业碳排放量,分析省域种植业碳排放空间格局;运用Tapio脱钩模型探讨河南省种植业碳排放量与经济发展之间的相互作用,并通过LMDI模型探究种植业碳排放的主要驱动因素。结果表明:(1)河南省种植业碳排放量呈现先上升后下降的趋势,碳排放强度整体呈现逐年递减趋势;(2)农用化肥是种植业碳排放最主要的排放源;(3)河南省种植业碳排放量逐渐呈“南部高,北部低”的特点;同时,各地市的种植业碳排放强度均为递减态势,空间差异也逐步减小;(4)研究期内仅出现强负脱钩、弱脱钩、扩张负脱钩和强脱钩四种脱钩特征;(5)经济增长和城镇化水平对种植业碳排放具有正向影响,生产效率、生产结构和劳动力规模则表现出负向影响。未来应加强创新引领、坚持分类施策并优化种植结构,以实现河南省种植业低碳化高质量发展。

关键词: 种植业, 碳排放, 脱钩效应, LMDI模型

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