自然环境污染对农业经济的负面作用分析研究
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摘要
随着农业经济的快速发展,粗放型的发展模式对环境污染产生了较大的影响,为了定量分析自然环境污染对农业经济的影响。提出基于主成分博弈的自然环境污染对农业经济的负面作用量化分析模型,构建自然环境污染对经济负面影响的描述性统计变量,采用全样本回归检验分析方法进行农业经济负面效应的相关性分析。设计的模型能准确预测自然环境污染对农业经济的负面作用,量化分析结果置信度较高,需要着力改善农业经济发展模式,降低环境污染,促进农业经济的可持续增长。
With the rapid development of agricultural economy, extensive development mode has a great impact on environmental pollution. In order to quantitatively analyze the impact of natural environment pollution on agricultural economy, this paper takes environmental pollution to agricultural food safety, soil output benefit and agricultural products added value as constraint variables, this paper constructs the principal component game analysis model of the negative effect of natural environment pollution on agricultural economy. The results of sample regression analysis were used to quantitatively analyze the inhibition of environmental pollution on agricultural economic growth and to realize the quantitative regression prediction of the negative impact of agricultural economy with nonlinear forecasting method. The results of empirical analysis show that the designed model can accurately predict the negative effects of natural environment pollution on agricultural economy, and the quantitative analysis results have high confidence, so it is necessary to improve the development mode of agricultural economy and reduce environmental pollution. The study promotes the sustainable growth of the agricultural economy.
With the rapid development of agricultural economy, extensive development mode has a great impact on environmental pollution. In order to quantitatively analyze the impact of natural environment pollution on agricultural economy, this paper takes environmental pollution to agricultural food safety, soil output benefit and agricultural products added value as constraint variables, this paper constructs the principal component game analysis model of the negative effect of natural environment pollution on agricultural economy. The results of sample regression analysis were used to quantitatively analyze the inhibition of environmental pollution on agricultural economic growth and to realize the quantitative regression prediction of the negative impact of agricultural economy with nonlinear forecasting method. The results of empirical analysis show that the designed model can accurately predict the negative effects of natural environment pollution on agricultural economy, and the quantitative analysis results have high confidence, so it is necessary to improve the development mode of agricultural economy and reduce environmental pollution. The study promotes the sustainable growth of the agricultural economy.
引文
[1]纪涛,芮元鹏,闫楠,等.浙江省环境污染与经济发展关系的实证研究[J].中国环境管理,2017(6):65-70.
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[5]佟景贵,曹烨.生命周期评价在环境管理中应用的局限性及其技术进展研究[J].环境科学与管理,2017,42(10):169-172.
[6]CHEN Y,LI L J.Very fast decision tree classification algorithm based on red-black tree for data stream with continuous attributes[J].Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition),2017,37(2):86-90.
[7]HUANG S C,LIU Y.Classification algorithm for noisy and dynamic data stream[J].Journal of Jiangsu University of Science and Technology (Natural Science Edition),2016,30(3):281-285.
[2]周曙东,欧阳纬清,葛继红.京津冀PM2.5的主要影响因素及内在关系研究[J].中国人口·资源与环境,2018,21(4):102-109.
[3]黄勤,曾元,江琴.中国推进生态文明建设的研究进展[J].中国人口·资源与环境,2015,25(2):111-120.
[4]张琦吉,朱梦婕,刘宁.基于层次分析法的安徽省循环经济发展评价研究[J].环境科学与管理,2017,42(11):170-173.
[5]佟景贵,曹烨.生命周期评价在环境管理中应用的局限性及其技术进展研究[J].环境科学与管理,2017,42(10):169-172.
[6]CHEN Y,LI L J.Very fast decision tree classification algorithm based on red-black tree for data stream with continuous attributes[J].Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition),2017,37(2):86-90.
[7]HUANG S C,LIU Y.Classification algorithm for noisy and dynamic data stream[J].Journal of Jiangsu University of Science and Technology (Natural Science Edition),2016,30(3):281-285.