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There is a long-standing dispute on the extent to which population growth causes environmental degradation. Most studies on this link have so far analyzed cross-country data, finding contradictory results. However, these country-level analyses suffer from the high level of dissimilarity between world regions and strong collinearity of population growth, income, and other factors. We argue that regional-level analyses can provide more robust evidence, isolating the population effect from national particularities such as policies or culture. We compile a dataset of 1062 regions within 22 European countries and analyze the effect from population growth on carbon dioxide (CO₂) emissions and urban land use change between 1990 and 2006. Data are analyzed using panel regressions, spatial econometric models, and propensity score matching where regions with high population growth are matched to otherwise highly similar regions exhibiting significantly less growth. We find a considerable effect from regional population growth on carbon dioxide (CO₂) emissions and urban land use increase in Western Europe. By contrast, in the new member states in the East, other factors appear more important.

We present new evidence on the evolution of labor mobility in the United States over the past four decades. Building on the seminal methodology by Blanchard and Katz (1992), combined with multiple sources of regional population and migration data, we show that interstate mobility in response to relative labor demand conditions is not as high as previously established and has been weakening since the early 1990s. In addition, we find that mobility is countercyclical: net migration across regions responds more strongly to spatial disparities in recessions than in normal times. While the declining trend in mobility has been driven by weaker out-migration from states experiencing negative relative shocks, the mobility surge in recessions is mostly accounted for by temporarily stronger in-migration to better-performing states.

The goal of this study is to examine the extent to which population shifts over the post—Great Migration period and divergent trends in segregation across regions contributed to the overall decline in black segregation in the United States in recent decades. Using data from the 1970 to 2000 decennial censuses and the 2005—2009 American Community Survey (ACS), our analysis indicates that black dissimilarity and isolation declined more in the South and West than in the Northeast and Midwest. Nevertheless, regional population shifts account for only a modest amount (8 % to 12 %) of the decline in black-white segregation over the period and for an even smaller proportion of the decline in black-nonblack segregation, in part because the largest declines in segregation occurred in the West while the region with the largest relative increase in the black population was the South. Using more refined census divisions rather than census regions provided some additional explanatory power (shifts across divisions explained 15 %—16 % of the decline in black-white segregation): divisions with larger gains in their share of the black population tended to have larger declines in black segregation. Overall, although the effect of the regional redistribution of the black population on declines in segregation was significant, of even greater importance were other causes of substantial declines in segregation in a wide array of metropolitan areas across the country, and especially in the West, over the past 40 years.

In contrast to the existing literature focusing on post-disaster regional impacts, we illustrate how the perception of disaster exposure affects regional population flows through household location decisions using a quantitative spatial economics model. More importantly, the quantitative spatial economics model helps identify critical drivers for regional migration that motivate the subsequent empirical analyses. A generalized additive model is applied to US county-level data to capture the nonlinear impact of disaster exposure on migration. The regional migration is not responsive to small and moderate disaster exposures. However, counties subject to severe disaster exposure experience significantly slower net inmigration.

This paper analyses whether hosting the most prestigious European cultural event, the European Capital of Culture, has an impact on regional economic development and the life satisfaction of the local population. We show that European Capitals are hosted in regions with above-average GDP per capita, but do not causally affect the economic development in a significant way. Surprisingly, using difference-in-difference estimations, a negative effect on the wellbeing of the regional population is found during the event. Since no effect is found before the event, reverse causality and positive anticipation can be ruled out. The negative effect during the event might result from dissatisfaction with the high levels of public expenditure, transport disruptions, general overcrowding or an increase in housing prices.

Being intertwined with economic development, urbanization determines the present and future development path of regions and countries. The intimate relationship between urban expansion and economic development is of particular interest in the case of large regions with complex (and mostly non-linear) socio-demographic dynamics and a relevant primacy in the metropolitan system of a given country. Typical examples of advanced economies with settlement systems characterized by a high degree of city primacy are peripheral and disadvantaged European countries such as Portugal and Greece. For instance, the administrative region of Attica-centered on Athens, the Greek capital city-represents the largest metropolitan area of the country, hosting almost 3.8 million inhabitants in 2021 (36.2% of the Greek population). In this context, this study investigates the internal redistribution of the resident population in metropolitan Athens and the progressive development of satellite cities over a relatively longtime interval, testing the assumptions of the Spatial Cycle Theory (SCT) between 1951 and 2021 and predicting future development paths up to 2051. To investigate past, present, and future intra-regional population trends, we used data released from decadal (1951-2021) censuses and demographic forecasts for the years 2031, 2041, and 2051. Being in line with the SCT, the empirical results of our study document how demographic dynamics of individual centers influence largely-and independently-the long-term development of metropolitan regions, both with policy/planning regulation and in conditions of non-intervention (spontaneous urban growth).

Europe is currently experiencing an ageing population and slowing population growth of both the total and working-age populations. These trends are likely to continue. Even though population ageing will affect all European regions, different regions will be affected in different ways. Even under favorable conditions, 35–40 % of all NUTS2 regions will face a labor force decline. If economic conditions are poor, some regions may continue to grow, but 55–70 % of the regions will see a labor force decline by 10 % or more. In most regions of Eastern Europe, the labor force may decrease by more than 30 %. To keep regions prosperous (maintaining competitiveness) and to avoid worse inequality (maintaining cohesion), policy-makers must find ways to cope with these challenges through new fiscal and social policies, though policies directly affecting demographic and migratory trends may also be needed.

Using a small, open, two-region economy model populated by two-period-lived overlapping generations, we analyze long-term agglomeration economy and congestion diseconomy effects of young worker concentration on migration and the overall fertility rate. When the migration-stability condition is satisfied, the distribution of young workers between regions is obtainable in each period for a predetermined population size. Results show that migration stability does not guarantee dynamic stability of the economy. The stationary population size stability depends on the model parameters and the initial population size. On a stable trajectory converging to the stationary equilibrium, the overall fertility rate might change non-monotonically with the population size of the economy because of interregional migration. In each period, interregional migration mitigates regional population changes caused by fertility differences on the stable path. Results show that the inter-regional migration-stability condition does not guarantee stability of the population dynamics of the economy.

The study explores the consequences of gender-selective internal migration for regional mating chances in Germany, comparing different cohorts as well as different types of regions. Indicators of the partner market based on time series of the official German regional population statistics are combined with indicators of migration and on regional economic, educational, and settlement structures. Instead of the simple sex ratio, which is the standard measure for partner market conditions in previous research, the study at hand uses the availability ratio suggested by Goldman et al. (Popul Index 50(1):5-25, 1984). The availability ratio takes into account that partner markets are structured by age preferences. Like previous studies, results show that gender-selective migration has led to a strong deterioration of mating chances for men in most eastern districts of Germany. Exceptions are districts offering universities as well as a large tertiary sector. But, unlike previous research, results also show that migration-caused imbalances of the partner market in eastern German districts are not extraordinarily high. In the western part of Germany, there were at times even stronger partner market imbalances for some male cohorts as a consequence of oscillating birth rates.

This paper uses Indian EUS-NSSO data on 32 states/union territories and 570 districts for a bi-annual panel with 5 waves to estimate how regional population reacts to asymmetric shocks. These shocks are measured by non-employment rates, unemployment rates, and wages in fixed-effects regressions which effectively use changes in these indicators over time within regions as identifying information. Because we include region and time effects, we interpret regression-adjusted population changes as proxies for regional migration. Comparing the results with those for the United States (US) and the European Union (EU), the most striking difference is that, in India, we do not find any significant reactions to asymmetric non-employment shocks at the state level, only at the district level, whereas the estimates are statistically significant and of similar size for the state/NUTS-1 (Classification of Territorial Units for Statistics (NUTS, the French abbreviation for \"nomenclature d'unités territoriales 21 statistiques\")) and district level in both the US and Europe. We find that Indian workers react to asymmetric regional shocks by adjusting up to a third of a regional non-employment shock through migration within 2 years. This is somewhat higher than the response to non-employment shocks in the US and the EU but somewhat lower than the response to unemployment shocks in these economies. In India, the unemployment rate does not seem to be a reliable measure of regional shocks, at least we find no significant effects for it. However, we find a significant population response to regional wage differentials in India at both the state and district level.