Journal of Regional Science最新文献

The impact of the incumbent state-owned enterprises (SOEs) on the births of new private-owned enterprises (POEs) in China is a central concern for the government and society. In this paper, we apply agglomeration theories to distinguish the linkages between SOEs and POEs. Using China's 2008 economic census, the 2007 Input-Output Table, and the 2005 population census, we measure the formation of new POEs at the city-industry level, and the agglomeration forces of distance proximity to inputs, outputs, labor, and technology. More explicitly, we measure the extent to which local SOEs provide relevant inputs, consume outputs, employ similar workers, and use similar technology. Our findings indicate that overall, incumbent SOEs hinder the formation of new POEs. For manufacturing, the entry of new POEs is significantly lower in places where more upstream SOEs are concentrated. For services, the entry of new POEs is significantly lower in places where more upstream and downstream SOEs are concentrated. However, the agglomeration effects from the incumbent POEs are either insignificant or significantly positive.

The purpose of this paper is to spatially and regionally examine academic engagement within Brazil, identifying patterns. Moreover, our investigation can contribute to a better understanding of how knowledge can be turned into a tool to fight regional inequality. We depart from two hypotheses: first, universities situated in peripheral regions interact more with companies from relatively more dynamic regions, and second, in the absence of industrial knowledge demand, universities tend to collaborate more closely with a diverse range of stakeholders in the region. To evaluate these hypotheses and find empirical evidence, we consider 4497 research groups and 4603 nonacademic organizations as “nodes” connected by 8830 collaborations throughout all Brazilian regions. Social network tools are used to illustrate the spatial and regional dimensions of academic engagement more accurately. The results show that academic engagement is not regionally homogeneous, demonstrating essential differences regarding local nonacademic partnerships. Innovation policies, which encourage only university–firm interactions, perpetuate regional inequality.

What happens to local communities when manufacturing disappears? I examine changes in associational density over nearly two decades as a proxy for social capital in US labor markets. Exploiting plausibly exogenous trade-induced shocks to local manufacturing activity, I test whether deindustrialization is associated with greater or lower organizational membership. I uncover a robust negative relationship between the two variables, particularly acute in rural and mostly-White areas. My findings, however, are sensitive to measurement: There are no clearly discernible effects of deindustrialization on social capital when I consider alternative proxies for the outcome. To reconcile these results, I present evidence suggesting that economic adversity may induce a qualitative, rather than quantitative, change in social capital.

This paper investigates how the overall impact of the European Cohesion Policy depends on the composition of the regional investment in Hard (infrastructure) and Soft (business and technical support) projects. The study employs a generalized propensity score (GPS) analysis in a multidimensional treatment context. In particular, the two dimensions considered are given by the Hard and Soft investments. The GPS estimation is based on a set of relevant idiosyncratic features of the regions. The second step estimates a dose–response function in a two-dimensional setting. The results confirm the existence of nonlinearities in the effect of different amounts of funds, but more importantly, show a degree of complementarity between Hard and Soft investment and that for policymakers, it is crucial to exploit such features to achieve more significant impact. The EU's more developed regions could have achieved a doubled GDP p.c. growth rate by pursuing a policy mix where Hard investments are reduced in favor of Soft investments. This improvement is comparable to the one obtained by at least doubling the available resources. The findings add to the evidence collected on the impact of the Cohesion Policy, suggesting a shift of the debate from the quantity to the quality of the expenditure pursued under the umbrella of territorial policies.

This paper investigates the impact of the main criterion employed by the European Commission for the allocation of the largest portion of Structural Funds, based on the threshold of the 75% of European Union (EU) average gross domestic product (GDP) per capita. We focus on the 2014–2020 programming period and on EU-15 regions to analyze if this criterion has penalized some of them, as a consequence of the 2004 EU enlargement, which has represented an exogenous shock in the allocation process, due to the economic backwardness of new member states. Through the application of Synthetic Control Methods and Difference-in-Differences estimators at different geographical scales, we show that regions that did not obtain the less developed status in both the programming period 2007–2013 and 2014–2020, but that would have obtained it in the period 2014–2020 without the 2004 EU enlargement, experienced a significantly lower GDP per capita growth between −10.5% and −5.7%. Conversely, territories that in the period 2014–2020 lost the less developed status, previously obtained in the time frame 2007–2013, were not characterized by a significantly lower economic growth, providing some evidence of the effectiveness of the safety net.

This paper investigates the role played by public capital on the production level of Italian regions by specifically accounting for the quality of institutions. Our analysis, carried out over the period 2000–2019, benefits from a rich data set on public expenditures. This allows us to build the regional public capital stock by distinguishing among public institutions in charge of the investments and sectors of intervention. While controlling for several contextual variables (human capital, technological capital, and population density), the main results show that public capital has a positive and significant effect on production. Most interestingly, looking at Mezzogiorno's regions, public capital carried out by local institutions turns out to have a lower impact than in the rest of the Italian regions. On the other hand, central bodies in the South exhibit an impact higher than the average. Moreover, institutions' quality exhibits a positive and significant effect on regional economic performance. These results cast serious doubts about the local Southern administrations' capacity to effectively manage the National Recovery and Resilience Plan's enormous resources and the new European Union cohesion framework 2021–2027. Our results are also relevant for other European regions that, featuring structural traits similar to Southern Italian regions, are expected to face the same difficulties in managing public funding.

This paper uses high-frequency nighttime lights data and a variety of empirical methods to analyze the impacts of the Covid-19 crisis on economic activity during the period January 2020–March 2021 for a global sample of 2841 cities. Particular attention is paid to the role of a city's population density in shaping these impacts. While economic activity in cities is found to be negatively affected by both the spread of the virus and the imposition of nonpharmaceutical interventions, population density is found to amplify the negative impacts of the spread of the virus and attenuate those of nonpharmaceutical interventions. These results are driven by cities in low- and middle-income countries, where overall economic activity is found to have been more strongly hit by the pandemic and the strength of those impacts was stronger for less densely populated cities. The role of population density in shaping the economic impacts of the Covid-19 crisis across cities is confirmed by an event-study analysis. Taken together, the findings suggest that the Covid-19 crisis gave rise to divergent urban economic trajectories, both between high- and lower-income countries and between cities with different population densities in lower-income countries.

We estimate the spatially heterogeneous effects of the coronavirus disease 2019 pandemic on labor market dynamics in Germany until December 2021. While initially slightly stronger in rural regions and large agglomerations, adverse effects quickly become more pronounced and persistent in large agglomerations compared to all other region types. We ascribe the larger impact of the pandemic in large agglomerations to two factors. First, a combination of a higher share of skilled workers and jobs suitable for working from home is positively related to an increased inflow rate into unemployment. We argue that local spillover effects from reduced product market demand in large cities caused by changes in behavior such as working from home or online shopping are a possible explanation. Second, some of our results suggest that a lower outflow rate out of unemployment is associated with a higher precrisis unemployment rate in large agglomerations. This might reflect the less favorable composition of unemployment in large cities, which reduces the probability of transitions into employment during crises.

The ongoing global pandemic has brought into sharp relief the possible interactions between the epidemiology of a virus, the structure of the economy and society that becomes exposed to it, and the actions chosen by government, individuals, and communities to combat it or ameliorate its economic impact. Surprisingly, there has not been sufficient research on these economic and policy interactions of the 1918–1920 influenza pandemic—the deadliest pandemic of the 20th century. This paper focuses on Japan, which as a minor participant of and was not directly affected by World War I. We exploit the diversity of experiences with the pandemic and its attendant policy responses across Japanese prefectures; and investigate the importance of the pandemic's toll (measured by excess mortality), and of nonpharmaceutical policy interventions (NPIs), in determining the pandemic's economic impact. We do so by focusing on the production and employment in the textile sector, given the availability of data and the general importance of the textile sector for emerging economies (as Japan was at the time). We find a significant adverse impact of the pandemic on textiles (almost 30% for an average prefectural excess mortality shock) and indeed find that the implemented NPIs were effective in ameliorating around one half of the pandemic's adverse economic consequences, especially for textile output (rather than employment). Furthermore, these NPIs were more effective when the excess mortality was higher. In this case, there was no trade-off between money and life, but rather the two were complimentary.

The road system built during the Roman Empire continues to have a significant impact on modern infrastructure in Italy. This paper examines the historical influence of Roman roads on the development of Italy's motorways and railways. The empirical analysis demonstrates how modern Italian transport infrastructure largely follows the path of the consular trajectories established by the network of Roman roads. These ancient roads, being paved and connecting the extremes of the Italian peninsula, have endured over time, serving as the foundational physical capital for the development of the current transport network. Overall, this research highlights the enduring legacy of the Roman road system and the robustness of Roman roads as an instrument in determining the causal effect of modern infrastructure.