大数据分析：农业非点源污染对家庭决策的影响

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Electrical Systems Pub Date : 2024-05-08 DOI:10.52783/jes.3528

Ying Wang, Chao Xue

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引用次数: 0

摘要

本文以代际支持理论为基础，采用同步方程模型分析了化肥损失对中国农村家庭医疗和护理决策的影响。大数据实证分析结果表明，每公顷化肥流失量每增加一公斤，每年的医疗成本将增加 35 元人民币（5 美元），家庭护理时间的机会成本每年将增加 5 元人民币（0.7 美元）。这相当于 7.6 亿元人民币（1.09 亿美元）的国家经济损失。此外，肥料损失对医疗费用的影响具有显著的滞后性和累积性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Big Data Analysis: The Impact of Agricultural Non-point Source Pollution on Household Decision-making

Based on intergenerational support theory, a simultaneous equation model is used in this article to analyze the impact of fertilizer loss on household medical and care decisions in rural China. Results of the big data empirical analysis indicate that one kg/ha increase in fertilizer loss alters the medical costs by CNY 35 (USD 5) per year and the opportunity cost of household caring time by CNY 5 (USD 0.7) per year. This is equivalent CNY 760 million (USD 109 million) at nation economic loss. Furthermore, fertilizer loss has a significant lag and cumulative impact on medical expenses.

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来源期刊

Journal of Electrical Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

1.10

自引率

25.00%

发文量

审稿时长

10 weeks