贫困治理背景下贫困县(区)县域经济发展评价——以陕西省为例
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摘要
贫困县(区)的县域经济发展是实现高质量脱贫和高质量发展的重要组成部分,综合评价贫困县(区)县域经济对打赢脱贫攻坚战有很大的参考价值。本文以陕西省56个贫困县(区)为研究对象,选用2016年各县(区)经济社会发展统计数据,并以此构建评价指标体系,采用因子分析方法对各县(区)发展状况做出综合评价,依据综合因子得分进行了排名。结论表明,56个贫困县(区)中,按综合因子排名,定边县、汉滨区排名靠前,长武县、澄城县排名适中,佛坪县、宜川县排名靠后。为此,要扩大财政资金投入,加快基础设施建设;发展区域优势产业,推动农业高质量发展;搞好农村生态保护和环境治理;有效整合社会资源,借助多方力量脱贫。
The county economic development of poverty-stricken counties(districts) is an important part of achieving high-quality poverty alleviation and high-quality development. Comprehensive evaluation of counties(districts) county economy has great reference value for winning and fighting poverty. Taking 56 poverty-stricken counties(districts) in Shaanxi Province as the research object, the statistical data of economic and social development of each county(district) in 2016 was selected, and the evaluation index system was constructed to make the development status of each county(district) by factor analysis method. The comprehensive evaluation was ranked according to the comprehensive factor score. The conclusions show that among the 56 poverty-stricken counties(districts), Dingbian County and Hanbin District rank top, and Changwu County and Chengcheng County rank moderately. Foping County and Yichuan County rank lower. To this end, it is necessary to expand financial capital investment, speed up infrastructure construction; develop regional superior industries, promote high-quality agricultural development; do a good job in rural ecological protection and environmental governance; effectively integrate social resources and use multiple forces to lift poverty.
The county economic development of poverty-stricken counties(districts) is an important part of achieving high-quality poverty alleviation and high-quality development. Comprehensive evaluation of counties(districts) county economy has great reference value for winning and fighting poverty. Taking 56 poverty-stricken counties(districts) in Shaanxi Province as the research object, the statistical data of economic and social development of each county(district) in 2016 was selected, and the evaluation index system was constructed to make the development status of each county(district) by factor analysis method. The comprehensive evaluation was ranked according to the comprehensive factor score. The conclusions show that among the 56 poverty-stricken counties(districts), Dingbian County and Hanbin District rank top, and Changwu County and Chengcheng County rank moderately. Foping County and Yichuan County rank lower. To this end, it is necessary to expand financial capital investment, speed up infrastructure construction; develop regional superior industries, promote high-quality agricultural development; do a good job in rural ecological protection and environmental governance; effectively integrate social resources and use multiple forces to lift poverty.
引文
[1]李映宏.山西省贫困县县域经济发展评价研究[J].山西农业科学,2017,45(10):1731-1736.
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[8]李小胜,陈珍珍.如何正确应用SPSS软件做主成分分析[J].统计研究,2010,27(08):105-108.
[9]解素雯.基于主成分分析与因子分析数学模型的应用研究[D].淄博:山东理工大学,2016.
[10]]何得桂,钟小荣:贫困治理背景下脱贫攻坚有效实现路径研究——以镇安县“三带四联”模式为例[J].地方治理研究,2018(1):65-77.
[11]王建康,胡清升,魏雯.陕西脱贫攻坚的进展、挑战与对策建议[J].新西部,2018(Z1):11-14.
[2]蔡永华.贫困县县域经济发展对策及模式[J].现代农业科技,2012(21):322-323.
[3]赵康杰.中国县域经济研究述评[J].中北大学学报(社会科学版),2009,25(05):31-38.
[4]李仙娥,张勇.陕西省农村贫困发生的特点及其制约因素分析[J].生产力研究,2004(04):30-32.
[5]胡和平.实施乡村振兴战略为推动新时代追赶超越提供有力支撑[N].人民日报,2018-03-28(011).
[6]张安平.陕西省农村扶贫开发问题研究[D].西安:长安大学,2012.
[7]张烨总编.陕西统计年鉴[M].北京:中国统计出版社,2017,208.
[8]李小胜,陈珍珍.如何正确应用SPSS软件做主成分分析[J].统计研究,2010,27(08):105-108.
[9]解素雯.基于主成分分析与因子分析数学模型的应用研究[D].淄博:山东理工大学,2016.
[10]]何得桂,钟小荣:贫困治理背景下脱贫攻坚有效实现路径研究——以镇安县“三带四联”模式为例[J].地方治理研究,2018(1):65-77.
[11]王建康,胡清升,魏雯.陕西脱贫攻坚的进展、挑战与对策建议[J].新西部,2018(Z1):11-14.