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中国工业化、城镇化、农业现代化、信息化、绿色化“五化”协调定量评价的进展与反思
  • ISSN号:1007-6301
  • 期刊名称:《地理科学进展》
  • 时间:0
  • 分类:S23[农业科学—农业机械化工程;农业科学—农业工程]
  • 作者机构:[1]河南大学环境与规划学院黄河中下游数字地理重点实验室,河南开封475004, [2]中原经济区三化协调发展河南省协同创新中心,郑州450046
  • 相关基金:国家自然科学基金项目(41271144);河南省教育厅人文社科一般项目(2016-qn-016)
中文摘要:

工业化、城镇化、农业现代化、信息化、绿色化"五化"是社会现代化战略的重要支撑。"五化"协调定量评价是近年来一个研究热点。本文通过梳理和总结国内关于"五化"协调发展定量研究发现:1"五化"协调发展的内涵解读不一,评价时往往选择单指标,与综合指标差异很大。2权重计算以熵权法为主,层次分析法等主观评价方法较少,主客观评价结合更少。3协调水平的研究方法主要以耦合度、耦合协调度为主,其次为关系拟合与趋势预测法、DEA动态效率+HR模型、同步度模型等,并出现了系统性研究方法以及多种方法的交叉,研究方法的层次不断提高。4空间分析方法以空间分类与探索性空间数据分析为主,空间重心转移轨迹、空间格局的动态演进、空间趋势分析等研究方法逐渐出现。5时空分异的机理分析主要以影响因子解读与多元线性回归模型为主,空间滞后模型(SLM)、空间误差模型(SEM)、地理加权回归模型(GWR)等考虑空间因素的回归模型开始出现。但"化"的过程性、阶段性分析不足,"化"与"化"协调发展的转折点及转型机制分析不足。根据研究进展的评析,从研究范式、指标选择与权重计算、研究方法、空间分析技术、时空分异的机理解释等方面进行了反思,提出了加强"五化"协调发展的内在机理与评价维度分析、加强指标体系构建和权重设置的合理性研究、采用多元的"五化"协调度评价方法、加强空间分析技术的综合应用、促进定量解释与定性解释的结合等建议。

英文摘要:

Industrialization, urbanization, agricultural modernization, informationization, and greenization(the so- called "Five Modernizations") are an important support for the modernization of the Chinese society, and therefore many scholars have conducted quantitative evaluation of the coordinated development of the "Five Modernizations". By examining the Chinese research on quantitative evaluation of the "Five Modernizations",this review obtained the following findings. First, whether using single indicators or comprehensive index,existing research differs on how to construct the index system due to different interpretations of the "Five Modernizations". Second, most studies choose the entropy method when calculating the indicator weights; fewer choose the subjective method such as the AHP; and very few choose the combination of subjective and objective methods. Third, the coordinated development evaluation methods focus primarily on coupling and coordinated coupling models, relation and forecasting methods, synchronization models based on deviating from the ideal spatial position, DEA dynamic efficiency and HR models, "development- difference- interaction level" models,and split models. Recently, systematic and mixed research methods are emerging and sophistication of these methods are improving. Fourth, spatial analysis methods of spatial pattern and spatial correlation are widely used in many studies. Methods such as track shift of spatial gravity, dynamic evolution of spatial pattern, and spatial trend analysis are gradually appeared in some recent articles. Fifth, most studies choose the methods of interpreting the main impacting factors and multiple linear regression models to analyze the influencing mechanisms of spatiotemporal patterns. Some recent studies use spatial regression models such as SLM, SEM,and GWR. Based on the literature review, we make some reflections on the research paradigm, index system,weight derivation, evaluation methods of coordination level, spatial analysis, and

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期刊信息
  • 《地理科学进展》
  • 北大核心期刊(2011版)
  • 主管单位:中科院出版委员会
  • 主办单位:中国科学院地理科学与资源研究所
  • 主编:李秀彬
  • 地址:北京安外大屯路甲11号917大楼
  • 邮编:100101
  • 邮箱:editor@progressingeograply.com
  • 电话:010-64889313
  • 国际标准刊号:ISSN:1007-6301
  • 国内统一刊号:ISSN:11-3858/P
  • 邮发代号:2-940
  • 获奖情况:
  • 全国中文核心期刊
  • 国内外数据库收录:
  • 日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:30394