杨旺舟.中国农村居民食品消费碳排放的时空格局及其影响因素[J].中国环境管理,2022,14(3):112-117.
YANG Wangzhou.Spatio-Temporal Pattern and Its Driving Forces on Carbon Emission of Food Consumption from Rural Households in China[J].Chinese Journal of Environmental Management,2022,14(3):112-117. |
| 中国农村居民食品消费碳排放的时空格局及其影响因素 |
| Spatio-Temporal Pattern and Its Driving Forces on Carbon Emission of Food Consumption from Rural Households in China |
| DOI：10.16868/j.cnki.1674-6252.2022.03.112 |
| 中文关键词: 农村居民家庭 食品消费 碳排放 时空格局 空间自相关 地理探测器 |
| 英文关键词:rural households food consumption carbon emission spatio-temporal pattern spatial autocorrelation GeoDetector |
| 基金项目:国家自然科学基金项目（41661117）。 |
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| 中文摘要: |
| 在全球气候变化背景下，研究居民食品消费碳排放具有重要的意义。本文基于全国和地区农村居民家庭食品消费量调查数据及其人均食品消费碳排放的测算，运用ArcGIS空间统计分析、地理探测器因子探测等方法，分析2000—2019年中国农村居民家庭食品人均碳排放的时空格局及其驱动因素。结果表明：①碳排放结构中升降因素叠加，人均碳排放量增速不明显。②人均碳排放量存在空间集聚效应，但集聚程度呈下降趋势。③人均碳排放量、直接与间接排放量空间分异的影响因素不同。其中，人均碳排放量主要受到猪牛羊肉消费量、食品消费支出的影响。建议从优化农村居民的饮食结构，适度减少猪牛羊肉的消费量、增加综合碳折算系数较低的禽肉、蛋类、牛奶和鱼类等动物性食品的消费量，以及加强人均碳排放量较高地区饮食结构调整和优化的指导等方面，减少农村居民食品消费的人均碳排放量。 |
| 英文摘要: |
| Under the background of global climate change, it is of great significance to study carbon emission of food consumption by households. Based on national and regional survey data of food consumption, as well as calculation for per capita carbon emission of food consumption from rural households,this paper gave an analysis about spatio-temporal pattern and its driving forces on carbon emission accounting of food consumption from rural households in China during 2000-2019, which by applying methods of ArcGIS spatial statistics analysis and factor detector of GeoDetector. The results showed that:① The growth rate of per capita carbon emission was not obvious, as a result of superposition of rising and falling factors in carbon emissions structure. ② Per capita carbon emission had spatial agglomeration effect, but agglomeration degree showed a downward trend. ③ Spatial differentiation of per capita carbon emission, direct and indirect carbon emission had different driving factors. Per capita carbon emission was mainly affected by consumption of pork,beef and mutton, as well as food consumption expenditures.And then, some suggestions were proposed to reduce per capita carbon emission of food consumption from rural households, which including optimizing diet structure, moderately reducing the consumption of pork, beef and mutton, and increasing the consumption of animal food such as poultry, eggs, milk and fish, as well as strengthening guidance for adjustment and optimization of diet structure in regions with high per capita carbon emission. |
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