Economic and spatial determinants of interregional migration in Kazakhstan

In this paper we analyze economic and spatial determinants of interregional migration in Kazakhstan using quarterly panel data on region to region migration in 2008–2010. The main contribution of the paper relates to the ethnic divide in Kazakhstan, which is the home of a big ethnic Russian community, adding to the scarce literature on ethnic differences in migration patterns. Against this background we investigate whether the determinants of interregional mobility depend on ethnicity. In line with traditional economic theory we find that migration is determined by economic factors, first of all wage. As predicted by gravity arguments, mobility is larger between more populated regions and distance has a strong negative impact on migration, indicating high migration-related costs. Most likely caused by stronger family ties and kinship bonds, the deterring effect of distance is higher for ethnic Kazakhs.     

Does migration arbitrage regional labor market differentials?

"This paper examines the determinants of regional migration [in the United States] in the 1980s using a place-to-place migration model in which migration flows depend upon the relative economic opportunities in the origin and destination regions. Using the results of the model, we then examine the potential role for migration in diffusing the economic pressures associated with disparate regional economic growth. Although the results reinforce the notion that divergent regional growth was an impetus to migration in the 1980s, estimates of the employment status of movers suggest that the true effects of migration on unemployment differentials may be quite small."     

THE COMPILATION OF CHINA'S INTERREGIONAL INPUT–OUTPUT MODEL 2002

The increasing economic interaction among various regions in China makes the construction of an interregional input–output table relevant for economic studies. This paper elaborates the model compilation procedure of the China Interregional Input–output model 2002. The key features of the model compilation include: (1) using representative commodities to estimate the interregional commodity flows of the primary industries; (2) adopting functions to estimate the decreasing interregional transportation of manufacturing sectors in relation to distance and (3) selecting appropriate indicators to estimate the interregional commodity flows of non-material sectors. This study is an initial attempt in interregional input–output modelling and might be helpful for economic studies at the levels of micro-regions.     

Raising the bar (11)

This editorial summarizes the papers published in issue 14(2) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper deals with past and current challenges for regional science research. The second paper investigates whether people living in deprived neighbourhoods have less chance of succeeding in a job application. The third paper finds evidence that real estate firms can avoid price competition when market shares of their allies increase in the vicinity. The fourth paper is methodological: it considers a spatial autoregressive (SAR) model with heterogeneous coefficients and extensively analyzes the impact of this extension on the direct and indirect effects estimates. The fifth paper proposes an innovative method to estimate the elements of the spatial weight matrix in a spatial econometric model. The final paper is econometric–theoretical: it proposes a new generalized method of moments (GMM) estimator of the coefficients of a SAR model if the error terms are heteroskedastic of an unknown form.     

DOES MIGRATION REDUCE REGIONAL DISPARITIES? THE ROLE OF SKILL‐SELECTIVE FLOWS

The existence of income per capita disparities is a striking feature of European regional development, while increasing internal migration is often cited as a convergence factor. This paper states that this argument is too simple if migration concerns skilled workers. To support this statement, the focus is on skill-selective migration flows: first, it is shown how easily they can happen (for instance, they can be caused by different regional wage settings); then, a model is used to investigate the effects of different regional endowments of immobile factors on migration. The model shows that skill-selective migration can, in some cases, lead to increasing income per capita disparities and, for this reason, policy makers need to pay attention when attempting to narrow regional disparities by easing interregional migration.     

A simultaneous-equations analysis of urban development: migration and industrial growth in Israel's new towns

A simultaneous-equations econometric model is used to analyze the recent development of new towns in Israel. The focus is on the relationships among migration, industrial investment, employment, and other structural and policy variables affecting urban development. "Our results affirm the importance of economic opportunity, agglomeration effects, population socioeconomic and ethnic composition, and access in determining migration flows. At the same time, unemployment and investment indices are affected by local labor-market conditions, government incentives, and regional development effects as well as by population composition and migration flows. Policy implications of the analysis are considered."     

Demand substitution across US cities: Observable similarity and home price correlation

This paper studies demand substitution in the context of US cities. Demand substitution occurs when individuals on the margin between certain city pairs affect demand patterns in the aggregate, causing certain cities to be better substitutes than others. Using a discrete model of city choice, I derive two predictions for migration flows and test them empirically using city-to-city migration data from the US Census. I show that cities which are similar on a variety of observable measures have higher levels of gross migration flows in the steady state and higher net migration flows in response to labor demand shocks. Finally, I propose pairwise correlation in metropolitan home prices as a price-based measure of substitutability and show that it contains substantial predictive power for migration flows relative to observable similarity.     

Cross-national tests of a third world development-migration paradigm: With particular attention to Venezuela

This paper amplifies a conceptual framework relating internal migration and development processes. This is first done by a cross-national comparison of regression parameters from interregional migration studies often different countries. Attention then turns to parallel analyses of interstate migration in Venezuela for three different time periods representing, approximately, 1940–1950, 1950–1960, and 1966–1971. These cross-national and temporal comparisons support the hypothesis that development systematically affects the role of distance separating origins and destinations, and of spatial differentials in urbanization levels, wages, unemployment, and education.     

Voting with their feet: Relative economic conditions and state migration patterns

Over the past decade, state and local policymakers and business leaders across the U.S. have expressed concern regarding the ability to attract and retain skilled workers, given the economic climate of their states compared with other parts of the nation. Examining the factors underlying state-level migration trends is important to determine what role, if any, public policy might play in addressing their potential impact on local labor supply. Using data from the Internal Revenue Service for each of the 48 states in the continental United States from 1977 through 2006, this paper examines the role of three economic factors—namely labor market conditions, per capita incomes, and housing affordability—in determining domestic state-to-state migration flows. Estimates from a logistic model of out-migration show that while all three measures of relative economic conditions are significant determinants of migration, the magnitude of their impact varies and has changed considerably over time. For example, the importance of per capita income as a determining factor has fallen considerably since the late 1970s, while that of housing affordability has risen. Interestingly, the role of labor market conditions—while significant throughout the entire 30-year period—was most prominent in the late 1980s and early 1990s. Estimates from the model are used to forecast migration for 2009 for selected states. The results from this exercise are surprisingly accurate when compared to actual state migration patterns for that year.     

Raising the bar (8)

This editorial summarizes the papers published in issue 13(3) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper challenges the home market hypothesis that large countries host more firms relative to their size than small countries by considering the lobbying activities of multinational firms. The second paper analyzes the implications of a spatial weight matrix used to estimate a spatial econometric model that depends on an endogenous economic variable. By adding a spatial context, the third paper provides a novel contribution to the literature on international norms in de facto measures of human rights performance. The fourth paper examines the determinants of accepting informal work in Poland. The fifth paper deals with non-stationarity and cointegration in a dynamic spatial econometric panel data model when the number of observations in the time – rather than in the cross-sectional– domain tends to infinity.     

Dialects,cultural identity,and economic exchange

We study the effect of cultural ties on economic exchange using a novel measure for cultural identity: dialects. We evaluate linguistic micro-data from a unique language survey conducted between 1879 and 1888 in about 45,000 German schools. The recorded geography of dialects comprehensively portrays local cultural similarities that have been evolving for centuries, and provides an ideal opportunity to measure cultural barriers to economic exchange at a fine geographical scale. In a gravity analysis we show that cross-regional migration flows in the period 2000–2006 are positively affected by historical dialect similarity. Using different empirical strategies, we show that this finding indicates highly time-persistent cultural ties that foster economic exchange across regions.     

Raising the bar (9)

ABSTRACT

This editorial summarizes the papers published in issue 13(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper develops an economic geography model with trade costs in all sectors and different shares of unskilled labour in all locations. The second paper translates an economic geography model into a dynamic spatial econometric model and then estimates the unknown parameters to test for congestion spillover effects among Chinese cities. The following paper also investigates spillover effects, but of sovereign and banking risks across countries. The fourth paper empirically examines if a higher market potential results in higher average productivity and lower productivity dispersion of Italian retailers. The fifth paper demonstrates that modelling more than one spatial lag in the independent variables, using different specifications of the spatial weight matrix, can be used as a tool to correct for an omitted variable bias. The final paper develops a test for the existence of non-parametric non-linearities in a linear spatial econometric model.     

Raising the bar (10)

This editorial summarizes the papers published in issue 14(1) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper applies the Shapley-based decomposition approach to determine the impact of firm-, linkage- and location-specific factors to the survival probability of enterprises. The second paper applies Bayesian comparison methods to identify simultaneously the most likely spatial econometric model and spatial weight matrix explaining new business creation. The third paper compares the performance of continuous and discrete approaches to explain subjective well-being across space. The fourth paper applies a multiple imputation approach to determine regional purchasing power parities at the NUTS-3 level using data available at the NUTS-2 level. Finally, the last paper constructs a regional input–output table for Japan from its national counterpart using and comparing the performance of four non-survey techniques.     

Integrating decomposition approaches for the analysis of temporal changes in economic structure: an application to Chicago's economy from 1980 to 2000

This paper presents an attempt to integrate two flow decomposition methods to analyse temporal changes in a region's economic structure. The two methods of structural analysis are push–pull decomposition analysis and structural Q-analysis. Push–pull analysis presents a quasi-optimization decomposition of a set of matrices with actual intersectoral economic flows into a weighted set of matrices, while structural Q-analysis provides a form in which the structure of these decomposed flows can be considered. The paper provides an expository application to Chicago's economic structure over the period of 1980 to 2000, to reveal a complementary perspective of hollowing-out the production process in the Chicago economy that was identified in previous studies.     

Raising the bar (5)

Raising the bar (5). Spatial Economic Analysis. This editorial summarizes and comments on the papers published in this issue 12(1) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper examines the impact of the level of education on the decision to migrate and finds that it is approximately twice as large if both variables are modelled simultaneously. The second paper is one of the first papers to introduce a spatial component to models of international environmental agreements and to develop an exciting overlap with New Economic Geography. The third paper provides a tool, applied to Beijing, with which urban economic planners can investigate the role of variation and selection mechanisms in cluster development and identify possible paths of growth. The fourth paper contributes to the existing literature on retail geography by examining the role of consumption possibilities as an urban amenity. The fifth paper develops a Bayesian estimator of a linear regression model with spatial lags among the dependent variable, the explanatory variables and the disturbances. Finally, the sixth paper develops a semi-parametric generalized method of moments (GMM) estimator for a spatial autoregressive model with space-varying coefficients of the explanatory variables and a spatial autoregressive coefficient common to all units.     

Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows

Abstract

We use a spatial econometric extension of the traditional regression-based gravity model to model commodity flows, focusing on a formal methodology for incorporating information regarding the highway network into the spatial connectivity structure of the spatial autoregressive econometric model. We show that our simple approach to incorporating this information in the model produces improved model fit and higher likelihood function values. Empirical estimates of the relative importance of the different types of origin–destination connectivity between regions indicates that the strongest spatial autoregressive effects arise when both origin and destination regions have neighbouring regions located on the highway network.     

Raising the bar (1)

In this editorial, we summarize and comment on the papers published in issue 11.1 so as to raise the bar in applied spatial economic research and highlight new trends. The first paper employs the J-test to discriminate between two economic-theoretical explanations for the wage curve. The second applies a two-step ML procedure to measure the impact of volatility on economic growth. The third tests for endogeneity in the Spatial lag of X (SLX) model and whether or not the model should be extended to contain a spatial lag. The fourth utilizes the gravity model to test whether or not grids should be merged into larger units of observations. Finally, the last adopts a time-space recursive model to test the ripple effect and (linguistic) border effect hypotheses on housing prices in Belgium.     

ECONOMIC SYSTEM CONVERSION AND MIGRATION TRANSITION IN RUSSIA

This paper examines migration changes in Russia due to the transition of the economic system. As expected, great changes in migration patterns occurred in Russia. The correlation coefficients between federal investment and interregional migration are positive and large during the Soviet period, indicating that political incentives played a major role in migration patterns in the USSR. However, the regional development policy implemented in the Soviet era may not have been socially efficient in causing migration inflows and excess labor supply in the Far North regions. In addition, it can be said that the government could not control population flows perfectly even in the planned economy.     

Improving Statistics on International Migration in Asia

International migration has reached unprecedented scale, diversity and political, economic, social and demographic significance in Asia over the last decade. Despite this data collection of migrant stocks and flows remains very limited in most Asian countries. Accordingly, policy making on migration in the region lacks an evidence base and is influenced by interest groups, anecdotal evidence and prejudice. This paper argues that the heightened security consciousness since 911 together with the development of efficient computer based collection and analysis of migration data systems has created a propitious environment for bringing about a parametric improvement in data collection on international migration in Asia. A number of suggestions are made in this regard, especially the inclusion of relevant international migration questions in the 2010 round of population censuses.     

环境规制与经济增长关系再研究——基于半参数空间模型

论文采用2005-2017年我国30个省份的面板数据,考虑经济增长的溢出效应,利用空间杜宾模型和半参数空间杜宾模型研究环境规制与经济增长的关系。结果表明:第一,中国经济增长存在显著的正空间相关性,在普通参数模型和空间杜宾模型中环境规制对经济增长的影响不显著。第二,半参数空间杜宾模型的拟合优度高于空间杜宾模型,同时,环境规制与经济增长存在显著的非线性关系。