山东省种植业碳排放时空特征、驱动因素及未来趋势研究
DOI:
作者:
作者单位:

1.青海大学财经学院;2.青海大学土木水利学院;3.甘肃农业大学管理学院

作者简介:

通讯作者:

中图分类号:

F326.1

基金项目:

国家社科基金项目青年项目(No.21CGL040);青海省哲学社会科学青年项目(No.23Q060);青海省“昆仑英才·高端创新创业人才”培养拔尖人才项目(No.QHKLYC-GDCXCY-2024-226)。


Spatiotemporal characteristics, driving factors and future trends of carbon emissions from planting industry in Shandong Province
Author:
Affiliation:

School of Finance and Economics,Qinghai University

Fund Project:

The National Social Science Foundation of China under the Youth Project (No.21CGL040), The Qinghai Provincial Philosophy and Social Science Youth Project (No.23Q060), The Qinghai Provincial ‘Kunlun Talents - High-end Innovation and Entrepreneurship Talents’ Project for Cultivating Top Talents (No.QHKLYC-GDCXCY-2024-226).

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    [目的]种植业是农业的重要组成部分,探明种植业碳排放时空特征、驱动因素及未来趋势对于制定差异化减碳措施和实现农业可持续发展具有重要意义。[方法]本文采用碳排放因子法测度2004-2023年山东省种植业碳排放量及强度,并运用Tapio脱钩模型、LMDI模型及灰色预测GM(1,1)模型,探析其空间差异、驱动因素及未来10年碳排放量。[结果] ①山东省种植业碳排放呈“增加—波动—减少”的“M”型曲线,碳排放强度持续减小;②农资投入是山东省种植业碳排放的主要来源,各因子的碳排放量大小为:化肥(46.16%)>农膜(18.15%)>灌溉(15.85%),且玉米种植是农田土壤利用中主要的碳源,其占比为32.24%;③山东省种植业碳排放与经济增长由“弱脱钩”转为“强脱钩”,且在市域层面种植业碳排放空间分异特征明显,高碳排放区域集中在菏泽、潍坊、临沂等传统农业大市;④种植业生产效率、农业产业结构、地区产业结构、农村人口规模4个因素对种植业碳排放具有抑制作用,地区经济水平和城镇化水平则具有促进作用。⑤未来10年山东省种植业碳排放量总体持续下降,日照市降幅最大,枣庄市降幅最小。[结论]近20年山东省种植业碳排放总量与强度双重下降,但农业经济发展与碳减排仍面临挑战,需进一步优化种植业结构、提高种植业生产效率、降低农资投入碳排放,助推农业绿色低碳高质量发展。

    Abstract:

    The planting industry is an important part of agriculture, and it is of great significance to explore the spatiotemporal characteristics, driving factors and future trends of carbon emissions in the planting industry for formulating differentiated carbon reduction measures and achieving sustainable agricultural development. In this paper, the carbon emission factor method was used to measure the carbon emissions and intensity of planting industry in Shandong Province from 2004 to 2023, and the Tapio decoupling model, LMDI model and gray prediction GM(1,1) model were used to explore their spatial differences, driving factors and carbon emissions in the next 10 years. The results showed that: (1) the carbon emissions of planting industry in Shandong Province showed an "M" curve of "increase-fluctuation-decrease", and the carbon emission intensity continued to decrease. (2) Agricultural input is the main source of carbon emissions in planting industry in Shandong Province, and the carbon emissions of each factor are: chemical fertilizer (46.16%)> agricultural film (18.15%)> irrigation (15.85%), and corn is the main carbon source in crop planting, accounting for 32.24%; (3) The carbon emissions and economic growth of the planting industry in Shandong Province have changed from "weak decoupling" to "strong decoupling", and the spatial differentiation characteristics of carbon emissions in the planting industry at the municipal level are obvious, and the high carbon emission areas are concentrated in traditional agricultural cities such as Heze, Weifang, and Linyi. (4) The four factors of planting production efficiency, agricultural industrial structure, regional industrial structure and rural population size have a depressing effect on carbon emissions in the planting industry, while the regional economic level and urbanization level have a promoting effect. (5) In the next 10 years, the carbon emissions of the planting industry in Shandong Province will continue to decline as a whole, with Rizhao City having the largest decline and Zaozhuang City having the smallest decline. The results show that the total carbon emissions and intensity of the planting industry in Shandong Province have decreased in the past 20 years, but the development of agricultural economy and carbon emission reduction still face challenges.

    参考文献
    相似文献
    引证文献
引用本文
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2025-07-29
  • 最后修改日期:2025-09-17
  • 录用日期:2025-09-19
  • 在线发布日期:
  • 出版日期: