以中国343个地级及以上行政单元为研究对象,运用数据包络分析和探索性空间数据分析,研究了2001年和2011年“四化”协调发展及其效率的空间差异变化,借助地理加权回归模型揭示“四化”协调发展效率的影响因素及其空间差异。结果显示,中国地级单元2001年和2011年的“四化”协调发展及其效率均存在显著的空间分异,综合指数、耦合度和协调度空间差异呈现以西北一东南走向的“反胡焕庸线”为分界的态势。“四化”协调发展效率整体较低,效率值较高的地区集中在中部地区,达到“有效”状态的城市极少。10a间平均效率值总体降低,高值区逐渐向东部沿海地区转移。城乡人均固定资产投资差异、人均GDP和人均社会消费品零售总额是影响“四化”协调发展效率的重要因素。
The efficient and coordinated development of industrialization, urbanization, information and agricultural modemization (so called 'Sihua Tongbu' in Chinese) is not only a practical need but also an important strategic direction of integrating urban-rural development and regional development in recent China, and it also provides a significant perspective for identifying problems so as to improve the regional policies using scientific methods. The existing studies are instructive for the overall grasp of this issue at national and provincial levels. However, they failed to uncover the regional pattems and impact factors of the 'four modemizations' development at an appropriate scale from the geographical perspective, and the interactions between four modemizations development and regional policies have been neglected as well. This article evaluated the comprehensive development index, coupling development index and coordinated development index of the' four modemizations' of China' s 343 prefecture-level administrative units, and calculated their efficiency of the 'four modernizations' in 2001 and 2011. Then, this article establishes the evaluation index system of the coordination development efficiency of the ' new four modernizations' , which includes four input elements of per capita consumption expenditure of urban and rural residents, per capita local fiscal budget, the total social investment in fixed assets and per capita local or foreign currency and one output element of the coordinated development index of the 'four modemizations' . Based on the data from 343 prefecture-level administrative units, the efficiencies of four modernizations and their changing trends during the period 2001-2011 were investigat- ed using DEA (Data Envelopment Analysis) model. Spatial-temporal pattern of coordination development effi- ciency of the ' new four modernizations' of China' s prefecture-level regions was explored by using explorato- ry spatial data analysis (ESDA). Finally,