Growth and Change最新文献

The comprehension of the textbook and augmented Solow growth model has been studied to picture the consequences of workforce growth and capital. In the age of digitalization, Information and Communications Technology (ICT) is also the first necessity identified factors affecting labor productivity. This paper revisits the augmented Solow growth equation by integrating ICT as an explanator that improves labor productivity in Southeast Asian emerging economies. We used a Two-Way Random-Effects Model to regress the impact of workforce growth rate, physical capital, and human capital on labor productivity. The results show that using human capital is essential to improve output in emerging market countries rather than only using physical capital. According to our adjusted ICT factors, our analysis reveals that using the Internet and mobile cellular significantly boosts labor productivity. Moreover, the analysis of total factor productivity shows that most Southeast Asian economies highly depend on implementing ICT, especially the contribution of Internet usage and mobile cellular. Therefore, this study contributes to further studies and policy recommendations in improving the introduction of Internet usage and installation, especially for the emerging Southeast Asian.

Against the backdrop of the current political developments in Central and Eastern European (CEE) countries, such as Ukraine, Poland, and Romania, the question arises as to the role played by economic transformation and the resulting innovation linkages in these countries over the last 20 years. The main purpose of this paper is to explore the impact of economic and institutional dimensions on the development of CEE countries, explicitly distinguishing between European Union (EU) members and non-members, and thus reflecting the differences in institutions and path dependency. Furthermore, the paper contrasts the performance of CEE countries with that of Western European countries. To achieve these objectives, the impact of factors such as innovation, institutions, and political practices on the economic development of 37 European countries from 2000 until 2020 is followed using fixed effects regression and Ordinary least squares (OLS) regression. The results of the analysis show the importance of institutional factors such as low levels of corruption, political freedoms, and intellectual property. The effect of institutional variables was particularly pronounced in the case of non-EU countries, which indicates the particular importance of the development of stable institutions for achieving higher levels of economic development for this category of countries.

The cultural diversity brought by migrants has attracted widespread interest in recent years. This paper investigates the relationship between migrant cultural diversity and regional innovation by constructing panel data of provincial migrant cultural diversity and combining them with invention applications data from China's State Intellectual Property Office. The empirical results show that the migrant cultural diversity, measured by migrant's hukou and dialect respectively, has a positive impact on regional innovation. The effect still holds after a series of robustness tests and addressing endogeneity issues. Furthermore, the further analysis implies that the effects of the migrant cultural diversity in workers aged from 30 to 50, engaged in an innovative occupation, working in high market-competitiveness or inclusive provinces are more pronounced. Our study supplements the current research on the relationship between migrant cultural diversity and regional innovation.

The paper contributes to the growing literature on the relationship between relatedness, complexity and regional diversification. It explores regional diversification in an emerging economy, focusing on diversification opportunities of regions with distinct levels of local capabilities. We investigate the importance of relatedness and economic complexity for sectoral and technological diversification in all regions of Brazil during the period 2006–2019. Regions tend to diversify in sectors/technologies requiring similar capabilities to those already available locally. In general, the higher the sector/technology complexity, the lower the probability of diversification. However, in high-complex regions, complexity reverses into a positive force for diversification. Our analysis shows diversification prospects vary widely across different types of regions in Brazil.

Climate change disproportionately affects low-income and minority populations. This study identified vulnerable populations to extreme heat, focusing on home air conditioning. State and municipal laws and regulations usually consider home air conditioning an amenity rather than a requirement for habitability such as heat, water, and electricity. Using the historical census data and the American Housing Survey data, this study identified the vulnerable populations to extreme heat and their spatial dynamic in Los Angeles County, CA. This study found that low-income minority populations are more likely to live without home air conditioning, and they are more likely to be exposed to extreme heat in the coming years if their residential location patterns continue. Changing spatial patterns of low-income and minority populations need to be incorporated into urban and regional planning for climate change. State regulations and municipal codes should require air conditioning as a habitability requirement for cooling equity. Also, cooling stations that provide immediate relief for those without home air conditioning need strategic placements based on the locational concentration of the vulnerable populations.

Existing research on inter-regional capital flows commonly applied the proxy simulation method based on the location of financial firms in static snapshots, and took cities' centrality as the research object when discussing network influencing factors. It remains unclear how inter-regional capital flow networks are present actually and how city-dyad linkages are shaped. Based on real investment connections between listed firms and their investees in Yangtze River Delta (YRD) from 2005 to 2019, this study provides fresh insights into the spatial pattern and influencing factors of intercity capital flows from the perspective of dynamic urban bilateral relations. Results indicate that the network in the YRD is in the transition stage of provincial integration and cross-border integration. The central and western regions of the YRD are the current network “depression districts”, with cities in Anhui forming an independent network. The physical spatial scale of the origin city was the most robust facilitator of capital outflow, but it is not evident that obvious node attributes can match the destination city. Cultural proximity and functional proximity effectively promoted the shape of investment connections, but they also reflected the lack of long-distance intercity links and cross-border links. The establishment of metropolitan areas with overlapping members and the joint construction of industrial circles, living circles and transportation circles within metropolitan areas are effective ways to facilitate intercity capital flows in YRD.

Analyzing the spatial agglomeration and characteristics of urban functional elements and effectively identifying the polycentric pattern of a city can provide a scientific basis for urban planning. This study, on the basis of point-of-interest (POI) data, designs a weighted overlay-analysis method that is based on functional categories, spatial agglomeration, and POI weights to identify the spatial-agglomeration pattern and polycentric urban structure of Shenyang, China. Our results show that Shenyang has a significant polycentric urban structure. The POI elements in the municipal center in the second ring road show concentration and a contiguous distribution pattern. The POI element distribution near the city is scattered, and the spatial distribution of hotspots is uneven. The urban centers in the city planned by the government and those that we have identified differ. Because of the remote location and insufficient support facilities, the municipal subcenters and district centers do not play the role of decentralization as intended. Further strengthening the overall industrial planning and transportation apparatus is necessary in order to enhance the outward radiation and inward attraction of municipal subcenters. Our weighted overlay method realizes effective identification of the polycentric urban structure and can provide relevant reference for urban research and planning.

This paper explores the implementation of grand spatial planning narratives such as the compact city and polycentricity in planning practice. The effects of overlapping scales on the application of spatial imaginaries in metropolitan space are examined. Using post-socialist space, the research enriches the geographical context of metropolitan studies. On the basis of a spatial analysis of metropolitan form and centrality and a textual analysis of the relevant spatial plans of three Czech metropolitan areas, the key features in efforts of planning polycentric and compact metropolitan areas are identified as “Administrative blindness”, “(De)centralization ambiguity”, and “Reactive passivity”. By identifying the limits of translating spatial visions into the practical language of statutory regional and land-use plans, the paper contributes to the debate on the effectiveness of metropolitan planning based on the specific context of Central Europe.

This paper explores the roles of different types of technological proximity on the interregional spillovers of innovation growth. Using a panel dataset containing Chinese province patents and R&D inputs from 2002 to 2019, this paper estimates a knowledge production function with the spatial weight matrices constructed based on the linkage-based and structure-based technological proximity. We find that the two types of technological proximity are significantly different and their contributions to interregional innovation spillovers differ. The structure-based proximity shows a lower influence on spillovers and its effect in the process of interregional innovation spillovers is affected by the regional development level. This paper originates to clarify two conceptualizations of technological proximity, compare their influences on innovation spillovers, and explore their regional differences.