地理科学进展 ›› 2020, Vol. 39 ›› Issue (1): 91-99.doi: 10.18306/dlkxjz.2020.01.009

• 研究论文 • 上一篇    下一篇

中国居民食物消费碳排放时空演变趋势及其驱动机制分析

曹志宏1, 郝晋珉2, 邢红萍1   

  1. 1. 郑州轻工业学院经济与管理学院,郑州425000
    2. 中国农业大学资源与环境学院,北京 100193
  • 收稿日期:2019-01-17 修回日期:2019-06-01 出版日期:2020-01-28 发布日期:2020-03-28
  • 作者简介:曹志宏(1980— ),女,河南遂平人,副教授,主要研究方向为资源管理和农村经济。E-mail: caozhihongczh@163.com
  • 基金资助:
    国家自然科学基金联合基金项目(U1504707);河南省高校科技创新人才支持计划(人文社科类)项目(2017-cx-028);河南省高等学校青年骨干教师培养计划项目(2017GGJS098);河南省高等学校哲学社会科学优秀学者资助项目(2019-YXXZ-19)

Spatial-temporal change of Chinese resident food consumption carbon emissions and its driving mechanism

CAO Zhihong1, HAO Jinmin2, XING Hongping1   

  1. 1. School of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou 425000, China
    2. College of Land Resource Management, China Agricultural University, Beijing 100193, China
  • Received:2019-01-17 Revised:2019-06-01 Online:2020-01-28 Published:2020-03-28
  • Supported by:
    Joint Funds of the National Natural Science Foundation of China(U1504707);Program for Science and Technology Innovation Talents in Higher Education of Henan Province (Humanities and Social Science)(2017-cx-028);Program for Training Young Key Excellent Teachers in Higher Education of Henan Province(2017GGJS098);Program for Philosophy and Social Sciences Excellent Scholars in Higher Education of Henan Province(2019-YXXZ-19)

摘要:

食物生产是影响温室效应气体排放的重要方面,由于食物类型不同其碳排强度存在较大的差异,因此当前中国居民食物消费快速演替必然会对生态碳环境产生重要影响。论文利用洛伦兹曲线和基尼系数,研究1997—2016年中国城乡居民食物消费在生产过程中碳排放时空演变及其主要驱动因子。主要结论如下:① 在数量上,中国居民食物消费碳排放总量和人均量整体都呈现逐渐的增长刚性,但仍属于低碳消费模式;② 在结构上,各类型食物碳排放演变呈现显著的分异态势,整体上动物性食物碳排放增长速度快于植物性食物碳排放减少速度;③ 在城乡差异上,城镇和乡村居民食物消费碳排放在数量、结构和趋势上表现出显著的城乡二元属性,但近年城乡差异表现出减缓趋势;④ 在空间上,各地食物消费碳排放呈现较显著的民族性、地域性、集聚性和中心“塌陷”的特征,碳排放密度高值主要分布在直辖市和沿海经济相对发达地区;⑤ 在驱动力上,结构演替是全国居民食物消费碳排放总量整体变化的主要驱动因素,而人口数量是各地地域空间差异分布的主要驱动因子。

关键词: 居民食物消费, 碳排放, 演变趋势, 空间集聚, 驱动分析, 中国

Abstract:

Food production is an important aspect affecting greenhouse gas emissions. As carbon emission intensity coefficient values of different food types vary greatly, the improvement in economic development levels and living standards and the resulting rapid change of resident food consumption in China have important impacts on the ecological environment and carbon emissions in the country. This study examined the trend of change of urban and rural resident food consumptions in China from 1997 to 2016, and analyzed its spatial-temporal agglomeration characteristics and driving factors with the Lorentz curve and Gini coefficient. The main conclusions are as follows: The total quantity and per capita share of Chinese resident diet carbon emissions were increasing gradually, but they still belong to the low-carbon consumption category globally. Structurally the various kinds of resident diet carbon emissions in China showed different trends of change, and animal food carbon emission increment rate was faster than plant food reduction rate. Residents' diet carbon emissions showed a significant urban-rural division in quantity, structure, and trend, but the gap is narrowing in recent years. Per capita emissions showed significant differences among the ethnic groups and regions, and the high value regions of food consumption carbon emission density were mainly distributed in the municipalities and economically developed coastal areas. Structural optimization was the main direct driving factor of the national food consumption carbon emission change in China, while population was the main factor of regional differentiation.

Key words: resident food consumption, carbon emissions, evolution trend, spatial-temporal features, driving factor analysis, China