Growth and Change最新文献

The increasing connectedness between neighboring metropolitan areas anchored by global economic centers highlights the relevance of the megaregional scale for government and governance. Yet, there is a lack of data to examine the expansion of megaregions and understand prevalent challenges to coordination. We use data from the Census Bureau and the California Franchise Tax Board (FTB) to analyze migration patterns within the Northern California Megaregion that combines the San Francisco Bay Area and California Central Valley and highlight different trends underlying regional expansion. We find that people are leaving Bay Area zip codes at the edge of the urbanized area where population growth is robust, migration rates lower, job accessibility is low, rents are nearly as high as the more central locations, and home values are lower, making it difficult to move elsewhere within the Bay Area. Moves into the Central Valley are divided between the suburbs of the main urban centers and isolated towns leading to fragmented growth that increases stress on transportation infrastructure and worsens spatial inequality in the region.

Numerous studies have shown that agglomeration externalities play a crucial role in the survival prospects of logistics firms. However, previous studies have largely ignored the role that agglomeration externalities play at a more granular level. Therefore, this paper used Chengdu International Railway Port as a case study, constructed a distance-based agglomeration measure to explore the impact of agglomeration externalities on the survival of logistics firms located within a publicly developed logistics park (PDLP). The results show that the three types of agglomeration externalities coexist and are highly localized in the PDLP, and their effects change with distance from the logistics firm. Specifically, the specialization externalities operate within 1.5 km of the logistics firm and produce competitive effects within immediate proximity (0.5 km). Second, while diversification externalities cause significant congestion effects, interindustry knowledge spillovers arising from related diversification externalities play a key role in the 0.5 km proximity of logistics firms, and unrelated diversification externalities play a positive role in reducing the market transaction costs of logistics firms outside the 0.5 km range.

As China's economy advances toward high-quality development, how to promote the rational spatial distribution of skilled labor to achieve sustainable regional economic growth has become an urgent issue. This study utilizes microdata from the 2000–2015 Chinese census and tariff data from China covering the same period to empirically regress input tariff cuts on changes in the proportion of skilled labor in cities. The results show that for every 1% decrease in input tariffs, the proportion of skilled labor in cities increases by 0.78%, accounting for 15.22% of the spatial distribution of skilled labor. Mechanism analysis indicates that input tariff cuts facilitate technological progress and subsequently increase skilled labor demand. From an equilibrium perspective, increased skilled labor demand attracts skilled worker inflows, thereby increasing the proportion of skilled labor in cities. Additionally, input tariff cuts have a more significant impact on cities with low trade costs, a high historical proportion of skilled labor, and high labor market flexibility. These findings provide favorable evidence of the micro-level impact of input tariff cuts on regional skilled labor markets, offering important policy insights into how developing countries similar to China can optimize the spatial distribution of skilled labor through input tariffs.

China's economic growth target (EGT) embodies the typical characteristics of extensive development model. Based on the panel data of Chinese cities from 2004 to 2019, this paper examines the impact of EGT on pollution emissions. The results show that China's EGT has significantly increased environmental pollution. Especially before 2013, in order to speed up economic growth and cope with the pressure of the financial crisis, various regions tend to set higher EGT, leading to the aggravation of environmental pollution. After 2013, the promoting effect of EGT on environmental pollution is significantly weakened. Urban heterogeneity analysis shows that the impact of EGT on environmental pollution is different in different cities. The promotion effect of the EGT on environmental pollution is more evident in the western, northeastern, non-administrative center and resource-based cities. The industrial structure, technical intensity of industry and effective allocation of production factors are important influencing channels for EGT to affect environmental pollution. Therefore, properly handling the contradiction between economic growth pressure and environmental governance is the key to China's sustainable economic development.

This study empirically investigates the causal relationship between resource industry dependence and urban resilience from three perspectives: ecological, economic, and social, contributing to the resource curse theory and the sustainable development of resource-dependent cities. We use the entropy method to establish an urban resilience index system to measure the resilience of 269 Chinese cities from 2000 to 2019, and construct a two-way fixed-effects model to test the impact of resource industry dependence on urban resilience. The results show that resource industry dependence impairs urban resilience, and this finding remains robust to the estimation using an instrumental variable approach. Moreover, mechanism tests show that resource industry dependence undermines urban resilience by inhibiting industrial structural upgrading and hindering green technological innovation. We further categorize urban resilience into ecological resilience, economic resilience, and social resilience, and find that resource industry dependence has a more significant negative impact on urban ecological resilience and social resilience than on economic resilience. Our investigations suggest that cities should develop strategies based on their unique endowments to reduce resource dependence, improve urban resilience by strengthening industrial systems and promoting innovation, and achieve sustainable economic development.

The present study employs fixed-effect models to examine the complex and dynamic relationship between economic growth and environmental awareness. The empirical analysis reveals a discernible negative correlation between economic growth and environmental awareness, indicating a potential trade-off between economic development and environmental sustainability. This finding aligns with the theoretical underpinnings of the environmental Kuznets curve. Moreover, consistent patterns in the impact of economic growth on environmental awareness are identified across different platforms. Additionally, regional heterogeneity is observed in the influence of economic growth on environmental awareness. These findings underscore the necessity for nuanced policymaking tailored to the specific regional contexts and stages of economic development. This study advocates for strategies that strike a balance between fostering economic growth and promoting environmental awareness, thereby contributing to the scholarly discourse on sustainable economic development.