湖南省水稻生产环境负外部性评估、时空演变及影响因素研究

Environmental negative externality evaluation, spatiotemporal evolution, and influencing factors affecting rice production in Hunan Province

  • 摘要: 评估水稻生产的环境负外部性有助于农业生态防控和生态文明战略推进。基于2000—2023年湖南省地级市面板数据, 运用市场价值法、标准差椭圆、趋势面分析、地理探测器和OLS回归等方法, 从温室气体排放等6个方面测算了水稻生产的环境负外部性价值, 并分析了其时空演变特征, 同时探讨了自然和社会经济因素对其影响。结果表明: 1) 2000—2023年湖南省水稻生产的年均环境负外部性价值为246.79亿元, 负外部性价值构成以温室气体排放(45.76%)和化肥污染(20.74%)为主。2) 2000—2014年, 水稻生产环境负外部性价值整体呈缓慢上升趋势, 2014年达峰值后, 呈小幅波动下降趋势, 反映了新时代农业生态防护的成效。3)负外部性价值呈显著的空间异质性, 空间分布特点为中东部高、西部低, 各区域负外部性价值密度不均, 且整体空间分布随时间变化较为稳定, 未显著迁移。4)水稻生产的环境负外部性价值受自然和社会经济因素耦合影响, 各因素的交互作用增强了其解释力度。负外部性价值与平均坡度、社会消费品零售总额呈显著负相关, 与降水资源量、平均高程、地区生产总值、乡村人口、农村居民人均可支配收入及农业机械总动力呈显著正相关。从政府引领、市场引导、农户参与、科技支撑等方面为控制环境负外部性影响提出了具体建议。

     

    Abstract: Research on the indirect value of rice production has mainly focused on ecosystem service functions with relatively little research on externalities. Evaluating the negative environmental externalities of rice production can help promote agricultural ecological prevention, control, and civilization strategies. This study used panel data from prefecture-level cities in Hunan Province from 2000 to 2023. Using methods such as the market value method, standard deviation ellipse, trend surface analysis, geographic detector, and OLS regression, the environmental negative externality value of rice production was calculated from six aspects, including greenhouse gas emissions. Its spatiotemporal evolution was also analyzed. Simultaneously, the impacts of various natural and socioeconomic factors on the negative externality value of rice production was explored. The results showed that: 1) The average annual negative environmental externality value of rice production in Hunan Province from 2000 to 2023 was 24.679 billion yuan, and the negative externality value was mainly composed of greenhouse gas emissions (45.76%) and fertilizer pollution (20.74%). 2) From 2000 to 2014, the overall negative environmental externality value of rice production in Hunan Province showed a slow upward trend. After peaking in 2014, the growth trend was controlled and exhibited a slight downward fluctuation, reflecting the effectiveness of agricultural ecological protection in the new era. 3) The negative externality value exhibited significant spatial heterogeneity, with a higher concentration in the central and eastern regions of Hunan Province. The spatial distribution was characterized by higher values in the central and eastern regions and lower values in the western regions. The density of the negative externality value was uneven across regions and the overall spatial distribution was relatively stable over time without significant migration. 4) The negative environmental externality value of rice production was influenced by the coupling of natural and socioeconomic factors, and the interaction of these factors enhanced its explanatory power. Negative externalities were significantly and negatively correlated with the average slope and total retail sales of consumer goods. Negative externalities were significantly and positively correlated with precipitation resources, average elevation, regional GDP, rural population, per capita disposable income of rural residents, and the total power of agricultural machinery. This study innovatively analyzes the negative externalities of rice production in Hunan Province from a specific research object and dynamic spatial perspective, and puts forward suggestions for strengthening agricultural ecological protection and controlling the negative environmental externalities of rice production from the perspectives of government guidance, market guidance, farmer participation, and technological support.

     

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