中国区域经济趋同的空间异质性研究——来自空间杜宾分位数面板回归的证据

中国区域经济增长是否存在趋同,已有的实证文献在很大程度上忽视了趋同速率的空间异质性。本文基于新古典经济增长理论,构建空间杜宾面板分位数模型,考察了中国336个地级市经济增长趋同的空间异质性。研究表明,中国各地市经济增长总体上呈趋同状态,趋同速率随分位点增大呈U型。考虑资本在区域间自由流动,中低增长地区储蓄率作用显著降低。高增长地区受到周边经济带动作用小于中低增长地区,因而高增长地区的趋同速率更大。进一步分析发现,南、北方地区,东、西部地区均表现出俱乐部趋同特征,而中部地区内部表现出分异态势,即高增长地区发散,低增长地区趋同的特征。识别区域经济增长的空间异质性,对于政府更好地实施区域协调发展战略,缩小区域经济差异非常重要。     

Convergence Across the EU Regions: Economic Composition and Structural Transformation

This paper refers to 1995–2006 and analyzes the role and sources of within- and between-sectors convergence in the context of the economic catching-up process across the European Union regions. The perspective adopted here overcomes the prevailing theoretical and empirical contributions referred to as the one-sector economic growth model by Solow that neglects the implications of economic composition and structural transformation on regional aggregate growth and catching-up. Further, a comparison between the results from the fixed effects panel data model and cross-regions ordinary least square estimates allow consideration of the technological differences in the economic and sectoral speeds of convergence. The growth-accounting approach integrates these results and underlines the role of structural composition and change on the process of economic and between-sectors catching-up.     

A spatially filtered mixture of <Emphasis Type="Italic">β</Emphasis>-convergence regressions for EU regions, 1980–2002

Assessing regional growth and convergence across Europe is a matter of primary relevance. Empirical models that do not account for structural heterogeneities and spatial effects may face serious misspecification problems. In this work, a mixture regression approach is applied to the β-convergence model, in order to produce an endogenous selection of regional growth patterns. A priori choices, such as North–South or centre-periphery divisions, are avoided. In addition to this, we deal with the spatial dependence existing in the data, applying a local filter to the data. The results indicate that spatial effects matter, and either absolute, conditional, or club convergence, if extended to the whole sample, might be restrictive assumptions. Excluding a small number of regions that behave as outliers, only a few regions show an appreciable rate of convergence. The majority of data show slow convergence, or no convergence at all. Furthermore, a dualistic phenomenon seems to be present inside some States, reinforcing the “diverging-convergence” paradox. An erratum to this article can be found at     

Convergence in per-capita GDP across European regions: a reappraisal

This paper studies convergence in per-capita GDP across European regions over the period 1980–2000. We use median unbiased estimators of the rate of convergence to the steady-state growth path, while allowing for unrestricted patterns of heterogeneity and spatial correlation across regions. By permitting the model parameters to be completely different across regions, not only we avoid imposing strong a priori assumptions but we are also able to analyze the spatial patterns in the estimated coefficients. Our results differ from those found using conventional estimators. The main differences are: i) the mean rate of convergence is much lower; ii) for most regions this rate is zero; iii) the number of regions for which we reject equality in trend growth rates is substantially lower. We also find significant evidence of correlation of growth rates across neighbor regions and across regions belonging to the same country.     

中国区域经济收敛的空间计量分析——基于长三角1993-2006年132个县市区的实证研究

文章运用空间统计与空间计量的分析方法,根据长三角132个县市区的统计数据,进行了区域经济增长收敛性的实证研究,结果发现长三角132个县市区经济增长存在着显著的空间依赖性或空间自相关特征,因而若采用标准的β收敛方程会使得估计结果出现有偏与不一致;而若采用考虑了空间依赖性或空间自相关因素的模型进行估计,则其结果显示,虽然长三角县市区经济增长的收敛方向并没有改变,但是其经济收敛的速度却明显下降,且在统计上显著.这一发现不仅证实了新古典增长模型所反映的增长机制仍然决定着长三角经济增长的基本面,新经济增长因素只是减弱了长三角地区经济收敛的趋势,并没有从根本上改变经济增长收敛的方向;而且从更小空间单元测度的层面刻画了长三角经济增长的空间依赖性特征.     

The Role of Foreign Direct Investment on Income Convergence in China after Early 1990s from a Spatial Econometric Perspective

This paper introduces foreign direct investment (FDI) as an endogenous variable based on a neoclassical model of economic growth and investigates the impact of FDI on income convergence in China using provincial panel data from 1991 to 2007. A spatial model is later exploited to further examine the effect of FDI on convergence in China in light of remarkable and positive spatial correlations among neighboring regions. Results of estimates confirm the role of FDI inflow as a significant driving force to promote conditional convergence in China after the early 1990s. They also confirm that the non‐spatial classical model underestimates the impact of FDI on regional economic growth and also underestimates the speed of convergence.     

基于地理加权回归模型的省域工业全要素生产率分析

全要素生产率(TFP)是一个国家或地区经济增长质量和技术进步、管理效率提高的重要标志。运用空间统计的Moran指数以及空间计量经济学的地理加权回归(Geographical Weighted Regression)模型方法,基于2003年中国31个省、直辖市和自治区的工业企业统计数据,对省级区域工业全要素生产率进行了测算分析。全要素生产率实证测算分析结果发现,空间Moran指数可测算省域工业生产率的空间效应,地理加权回归模型也可将影响省域全要素生产率的来源分解成各省域的局部影响,空间计量经济学模型在计量检验和测算我国31个省域工业全要素生产率中具有较好效果。     

Social capital and social economics

The “discovery” of social capital in the early 1990s led to an upsurge of research into the economic impact of social cohesion and governmental effectiveness. This paper outlines key developments in the social capital literature over the past 13 years. It then examines theory and evidence of the links between social cohesion, quality of governance, economic performance and human welfare. The literature indicates that social capital makes a measurable contribution to economic development and overall wellbeing, particularly in developing countries. Partly in response to this emerging body of evidence, there has been increased interest in the application of community development principles to economic development initiatives. This paper argues that the advent of social capital theory represents a partial convergence between social economics and mainstream economics, and signifies an increased acceptance that economic activity cannot be meaningfully “disembedded” from social and political context.     

Spatial analysis of change trend and influencing factors of total factor productivity in China’s regional construction industry

Total factor productivity (TFP) is a measure of long-term economic growth and a comprehensive industry-level productivity measure. There are large gaps in China’s regional construction industry development due to unbalanced regional economy. Based on TFP measurement, this article puts forward a two-hierarchical analysis framework with coefficient of variation, Moran scatterplot and coefficient of convergence to analyse change trend of the construction industry TFP in three major regions in terms of spatial diversity, correlation and convergence. Then, the geographically weighted regression model is utilized to explore the influencing mechanism on the TFP. The results indicate the differences of the regional construction industry TFP are enlarging. There is obvious spatial correlation and heterogeneity in the regional TFP without a relatively stable space pattern. The TFP also exhibits convergence effects among three major regions. The construction industry productivity in all regions is significantly affected by economic environment, industrial organization structure and technological level. Industrial organization structure exerts the various influences on the productivity in different regions.     

Assessing the impacts of EU's common agricultural policy on regional convergence: sub-national evidence from Germany

This article assesses the relationship between transfers arising from EU's Common Agricultural Policy (CAP) and convergence in both farmers’ revenues and interpersonal income redistribution using a sample of 26 regions in the state of Hesse, Germany, over the period 1979 to 2004 and 1991 to 2004, respectively. We thereby combine the concept of sigma convergence with Shorrock's inequality decomposition in order to determine the driving forces in distributional dynamics of farmers’ revenues. Additionally, we apply alternative methodologies to investigate how per capita incomes have evolved over time. Explicitly comparing the situations with and without transfers, our results indicate that the CAP tends to smooth differences in farmers’ revenues across regions, but does not impede a strong divergence through time. The latter is mainly driven by increasing structural differences between the regions, while disparities in intensity turn out to be less important. The empirical analysis also shows that CAP transfers reduce income inequality within society as a whole. However, this impact proved to be negligible in explaining distributional dynamics and growth of per capita incomes.     

Spatial heterogeneity and interregional spillovers in the European Union: Do cohesion policies encourage convergence across regions?

Using a spatial econometric perspective, the speed of convergence for a sample of 163 regions of the European Union (EU) over the period 1981–1996 is estimated. For this purpose, we use a specification strategy which allows an explicit modeling of both spatial heterogeneity and spatial autocorrelation found in the analyzed sample. The estimated final model combines groupwise heterocedasticity, the identification of two spatial regimes and spatial dependence. Our results show how an appropriate consideration of the role of spatial effects can shed new insights into the European convergence process. We find that regions in the EU cohesion-fund countries (Ireland, Greece, Portugal and Spain) are converging separately from the rest of regions of the EU. Our estimations indicate that over the analyzed period, there was a faster conditional convergence in relative income levels of the regions belonging to Cohesion countries (5.3%) than in the rest of the regions of the EU (3.3%). Therefore, our results contrast with other evidence that points to the fact that the convergence process in Europe has weakened or even has stopped at the beginning of the 1980s. Moreover, our work shows clear evidence of separate spatial convergence clubs among EU regions.     

Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach

We use model‐based recursive partitioning to assess heterogeneity of growth and convergence processes based on economic growth regressions for 255 European Union NUTS2 regions from 1995 to 2005. Spatial dependencies are taken into account by augmenting the model‐based regression tree with a spatial lag. The starting point of the analysis is a human‐capital‐augmented Solow‐type growth equation similar in spirit to Mankiw et al. (1992, The Quarterly Journal of Economics, 107, 407–437). Initial GDP and the share of highly educated in the working age population are found to be important for explaining economic growth, whereas the investment share in physical capital is only significant for coastal regions in the PIIGS countries. For all considered spatial weight matrices recursive partitioning leads to a regression tree with four terminal nodes with partitioning according to (i) capital regions, (ii) non‐capital regions in or outside the so‐called PIIGS countries and (iii) inside the respective PIIGS regions furthermore between coastal and non‐coastal regions. The choice of the spatial weight matrix clearly influences the spatial lag parameter while the estimated slope parameters are very robust to it. This indicates that accounting for heterogeneity is an important aspect of modeling regional economic growth and convergence.     

Impacts of transportation infrastructure on single-family property values

New or long-standing public infrastructure such as highways, airports, and ports of entry (POE) can increase adjacent property values generating a value premium for private developers and adjacent property owners. States and local governments aim to determine the geographic footprint and anticipate the economic value created by transportation infrastructure proximity and accessibility since it represents an opportunity to capture some infrastructure costs. Hence, it is desirable to understand the degree of correlation between transportation infrastructure proximity and changes in real property values in a spatial context particularly when defining economic development zones where transportation investments are planned and where governments expect to recover some of the infrastructure cost from increases in real property values. This research applies geographically weighted regression (GWR) analysis to determine the geographic footprint and quantify the impacts of transportation infrastructure proximity and accessibility on real property values in El Paso, Texas using a 2013 cross-sectional data set. The presence of spatial nonstationarity and heterogeneity confirms that transportation infrastructure proximity and accessibility might generate premiums on real property values, but that such premiums are not always positive and are occasionally negative. GWR shows that benefits from a transportation facility can be capitalized by non-adjacent parcels. Finally, GWR maps can help better policy development by estimating how much value is added by infrastructure proximity and accessibility throughout particular locations.     

Estimating Krugman’s Economic Geography Model for the Spanish Regions

This paper estimates Krugman’s (J Polit Econ 99:413–499, 1991) economic geography model using data from the Spanish NUTS 3 regions. The econometric formalization endogenously determines wages in a region as a function of income and wages in other regions. The specification adopted also allows us to study the relation between the agglomeration of economic activity, increasing returns and market access. The first result obtained is that the Spanish economy exhibits a spatial wage structure: wages in a region are positively determined by income and wages in neighboring regions. In second place it is found support for the structural relations of the underlying theoretical model, indicating the importance of scale economies and transport costs in shaping the Spanish economic geography.     

区域公共卫生服务收敛性研究——基于动态空间面板模型的实证分析

本文在现有财政支出收敛理论和经济增长空间收敛模型基础上,构建了公共卫生服务动态空间收敛理论模型,并采用动态空间面板收敛模型对1997-2006年中国大陆30个省、市、自治区公共卫生服务收敛情况进行了实证检验,结果发现:地区间公共卫生服务并不存在绝对收敛,但是存在条件收敛,差距有所缩小。财政收入的提高、居民收入水平的提高和中央政府转移支付的增加分别从供给、需求和收入效应的角度提高了地区公共卫生服务供给水平。但是,地区间公共卫生服务供给存在显著的空间负效应,降低了地区间公共卫生服务收敛速度,省级政府间未形成趋好竞争,反倒形成了逐底竞争。     

基于GWR模型的北京市住宅用地价格影响因素及其空间规律研究

通过选择住宅地价影响因素并设定量化标准、构建地理加权回归(GWR)模型对1997—2004年北京市住宅用地出让数据进行了统计及空间可视化分析,探索了不同影响因素对北京市住宅用地价格的影响及其空间差异性。发现北京市住宅地价多中心影响效应显现";生活质量型"较之"生活便利型"基础设施对住宅用地价格的影响更大;地铁与城市快速路对于住宅用地价格的影响具有明显的空间"互补效应";土地面积对地面单价影响显著。     

市场规模、本地市场效应与空间经济结构演进——兼论中国不同空间尺度下的区域协调发展

在使用多区域的新经济地理模型研究了市场规模对空间经济结构的影响后,发现本地市场效应在其中起到了关键作用。在不同的发展阶段,在运输成本等外部冲击下,产业份额由于市场规模分布而发生变化,空间经济结构逐渐演变为单核心、双核心等形态,特别是过程中会出现"中部塌陷"。使用理论模型的结果,可以对中国东、中、西区域的"中部塌陷"、城市群结构等现实问题进行分析。随着大力发展交通基础设施,在不同空间尺度下,因本地市场效应的影响形成多样化的发展模式。通过缩减经济距离,促进集聚经济,达到区域内趋同,将有助于实现区域协调发展。     

基于ESDA-GWR的粮食单产及其驱动因子的空间异质性研究

在耕地面积扩展有限和城市化高速发展的背景下,粮食单产的区域差异对我国粮食安全具有重要意义。以我国31省（市、自治区）为研究单元,借助ESDA和GWR模型,结合我国各地自然条件的差异及其经济发展类型,揭示我国粮食单产的区域差异及其驱动因子的空间异质性。结果表明：1999—2008年,中西部地区粮食单产的增产对全国粮食产量的贡献越来越显著,75%的粮食单产增长潜力较大的区域集中在中西部;粮食单产存在着显著的空间相关性,各省域粮食生产重心发生移动,由传统的＂东部为主＂逐渐＂北上西进＂,向中西部地区欠发达省份集中;不同区域粮食单产的驱动因素呈现为一种非均衡联动的局域性特征,化肥施用量对粮食单产的影响在两个时间断面中差异最大,1999年回归系数全为正值,而在2006—2008年出现负值,这表明部分地区化肥对粮食单产的边际效应已经达到递减阶段。因此,应结合我国不同区域当前粮食单产的现状和驱动因子的效应机理,积极采取相应的有效措施以保障我国的粮食安全。     

Technology business incubators and regional economic convergence in China

Previous researches often claim the benefits of technology business incubators (TBIs). There is, however, little systematic evidence of TBIs’ role in promoting local economic growth in China where regions are in different development stages. Furthermore, no study has examined TBIs’ contribution to economic convergence. This paper aims to answer this question, based on panel data of Chinese national technology business incubators and the host cities from 2008 to 2012. The results indicate that there exists economic convergence both nationwide and in the western regions of China and no evidence has been found in the eastern and midland regions. Initial analysis without considering the incubator’s characteristics showed that TBIs do not accelerate economic convergence nationwide. We further take the incubator’s characteristics into consideration. We find that non-state-owned TBIs and specialised TBIs can speed the converging process while state-owned TBIs and diversified TBIs have no influence on the process of regional economic convergence.     

Income convergence in Japan: A Bayesian spatial Durbin model approach

With the collapse of the bubble economy in the early 1990s, economic disparities among both people and regions have arisen in Japan. Although developments in spatial econometrics have provided regional convergence studies with highly effective tools to explicitly consider spatial dependence and heterogeneity, there has as yet been no significant research on Japan's economic disparity using spatial econometrics. Moreover, most conventional regional convergence studies on Japan study the post-war high economic growth period before the economic bubble.Hence, the objective of this study is to analyze regional income disparities in Japan in the period after the bubble burst. We use the Bayesian spatial Durbin model, which can consider both spatial dependence and heterogeneity. The data used in this research are annual data collected at the municipality level during 1989-2007. To the best of our knowledge, no research has been conducted to analyze Japan's regional income disparities at the municipality level, though some research has been done at the prefecture level.First, the study suggests that σ-convergence does not hold whether or not spatial dependence is considered. Second, it analyzes regional income convergence by applying the simplified Bayesian spatial Durbin model to the β -convergence approach. The results show that β-convergence holds over 1990-2007.