Search

The outbreak of COVID-19 epidemic has had an unprecedented impact on global economy, the challenges caused by similar external shocks can be effectively addressed by enhancing regional economic resilience (EcoResile). Data of 30 provinces in China from 2006 to 2020 are used to construct a nonlinear panel model to explore the impact of the level of co-agglomeration between logistics and manufacturing industry (CoAgg) on EcoResile. Robustness tests are conducted using instrumental variable regression. The main conclusions are as follows: (1) The effect of CoAgg on EcoResile is non-linear and shows a U-shaped relationship; (2) The effect of CoAgg is not uniform across the regions of China, it is more significant in the eastern and western regions of China. [ABSTRACT FROM AUTHOR]

Research Summary: Platforms create value by connecting users to complementors offering goods or services. Complementors compete on platforms but may also benefit each other by drawing demand to the platform, which may then "spillover" from one complementor to another. This tension raises the question: When are relationships between complementors competitive versus complementary? To help address this question, I apply theory on agglomeration‐driven demand spillovers to examine when on‐platform demand spillovers created by peer product launch are larger versus smaller. Studying the Spotify platform, I find spillovers are larger, and peer album release more beneficial to an artist, when the peer stimulates greater demand expansion, platform‐mediated inter‐complementor proximity is higher, and the artist benefits more from consumer learning. Findings extend literature on on‐platform competition and inform complementor strategy. Managerial Summary: On digital platforms, complementor product launch may hurt peer performance by causing substitution or may benefit peer performance by drawing demand to the platform which may then "spillover" from the complementor to a peer. Studying the Spotify platform, I examine when such spillovers are larger versus smaller, shedding light on when peer product launch is beneficial versus detrimental for complementors competing on digital platforms. On Spotify, demand spillovers are larger, and peer album release more beneficial to an artist, when peer album release draws listeners to the platform, Spotify recommendations connect the artist to the peer, and the artist reaches new or unfamiliar listeners. The findings suggest that, on platforms featuring demand spillovers, complementors can take strategic actions to leverage spillovers and improve performance. [ABSTRACT FROM AUTHOR]

Under the new normal, the digital economy, as an essential engine of the new round of digital revolution, plays a significant role in driving the development of a green economy. This article constructs a logical framework from the perspective of economic agglomeration, using panel data from 2005 to 2019 in China's prefecture-level cities to empower green economic efficiency through the development of the digital economy. It then examines the enabling effect of the digital economy on green economic efficiency. The findings demonstrate that: (i) The digital economy has the potential to enhance the efficiency of the green economy, and this conclusion remains valid even after accounting for endogeneity and conducting a series of robustness tests. (ii) The results of the multi-mediation effect model demonstrate that enhancing economic agglomeration, facilitating industrial structure upgrade, and fostering technological innovation in energy saving and emission reduction serve as driving mechanisms for digital economic development to enhance urban green economic efficiency. (iii) In identifying heterogeneous characteristics, it was found that the enhancing effect of digital economic development on green economic efficiency is more pronounced in 'megacities', 'large', and 'medium' cities in eastern China, with better spillover effects. [ABSTRACT FROM AUTHOR]

ABSTRACT The aim of this article is to exploit an innovative spatial econometric approach to map and study the evolving patterns of industrial districts (IDs). The procedure can be classified as a k $k$‐means cluster‐wise regression procedure and is designed to detect homogeneous areas of subcontracting activity. These spatially contiguous aggregations of subcontractors are identified in terms of production function homogeneity and are defined as spatial regimes. Using this procedure, it is possible to detect two important sources of agglomeration economies that are commonly associated with the presence of an industrial district. The methodology is tested on a sample of Italian micro and small‐sized subcontracting firms operating in the footwear industry, showing its effectiveness in identifying the most commonly known IDs in this sector. Most ID regimes are persistent over time, despite the high turnover rates in the local subcontracting population after the 2008 financial crisis. These results can be explained by the presence of locally rooted competencies and context‐specific knowledge bases that persist despite the changing actors operating in the locality. Our evidence also shows that location in an ID does not necessarily entail benefits in terms of performance for subcontracting firms. [ABSTRACT FROM AUTHOR]

Urban agglomerations, emerging as pivotal spatial units, increasingly attract essential production factors—talent, technology, and capital—thereby transforming cities into innovation hubs. This study critically examined how productive service agglomeration, through the lens of agglomeration economies and externalities, acts as a catalyst for urban technological advancement. It investigated the spatial effects and underlying mechanisms by which productive service industry agglomerations impact urban technological innovation. Our findings reveal that both specialized and diversified agglomerations significantly enhance urban technological capabilities. However, diversified agglomerations might also negatively impact surrounding areas, revealing a complex spatial interplay. Importantly, while the aggregation of productive services boosts innovation by attracting R&D talent, it does not similarly influence the movement of R&D capital, thereby limiting further technological advancements. The effects of specialized and diversified agglomerations vary across different urban scales and regions. In China, although the productive service industry largely comprises lower-end sectors like finance, leasing, and business services, high-end tech industries remain underdeveloped, lacking robust growth momentum. This study underscores a critical gap in understanding the differential impacts of service industry agglomerations on urban innovation ecosystems and emphasizes the need for nuanced policy interventions to optimize these dynamics for sustainable urban and technological development. [ABSTRACT FROM AUTHOR]

This analysis disproves the widespread opinion that, in Eastern Russia, where the settlement structure and transport network are less dense, agglomeration effects are either absent or negligible. Econometric estimates have revealed a significant contribution of agglomeration economies to the efficiency of companies mainly in the southern regions. However, for a substantial part of Eastern Russia, agglomeration effects are insignificant and for some territories they are negative. The manifestation of agglomeration effects depends neither on the density of economic activity nor on the development of communication infrastructure. Lack of cooperation between local producers hinders the realisation of existing agglomeration potential in Eastern Russia. [ABSTRACT FROM AUTHOR]

As new digital technologies become widespread, it is crucial to understand the role of spatiality and agglomeration economies in the digital age, especially in the ICT sector. The ICT sector, with its innovative strength and the ability to complement various sectors, drives digitalization and balanced economic development. Recognizing the importance of digitalization and the ICT sector for economic development, especially in the catching-up regions of Central and Eastern Europe, this study aims at exploring the role and the spatiality of the ICT sector in the urban and rural areas of the Visegrad countries and Romania. The analysis focuses on the spatial concentration of the ICT sector and the specialization of the regions on the NUTS 3 level, distinguishing capital, intermediate metropolitan, intermediate non-metropolitan and rural areas, utilizing data on employed persons in the period 2010–2020. Findings reveal the dynamic growth and spatial concentration of the ICT sector despite the ongoing process of digitalization, particularly in capital regions, alongside the increasing significance of modern business services in agglomeration economies. Additionally, the research proves the presence of division of labour among different types of regions, reveals capital and rural regions as highly specialized regions and points to the need for place-sensitive development policy. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The contradiction between the economy and the environment becomes acute as the increasing ecological constraints. It is thus necessary to improve environmental performance and realize the economic‐ecological double dividend. To achieve that, co‐operative efforts are needed on both production and governance sides, particularly industrial agglomeration and environmental regulation. Based on provincial sections in China spanning 2006 to 2020, we explore the effects of industrial agglomeration and environmental regulation on environmental performance, exploiting a two‐way fixed effects model. We also illustrate the potential channels and interactive effects between industrial agglomeration and environmental regulation. The results indicate an inverted U‐shaped nexus between industrial agglomeration and environmental performance, while environmental regulation favors environmental performance. Green innovation, factor allocation, deepening of division of labor, and industrial structure upgrading are plausible channels. Besides, we discover the interaction between industrial agglomeration and environmental regulation, where environmental regulation reduces the inflection point of industrial agglomeration, and industrial agglomeration improves the effectiveness of environmental regulation. Our work sheds light on the synergy between production and governance sides, which offers insights into green transition for China and other newly industrialized economies. [ABSTRACT FROM AUTHOR]

This study aims to evaluate the medium-term impact of regional agglomerations in the manufacturing sector of Turkey on export performance. To this end, we identified Porter-type agglomerations in ISIC two-digit manufacturing sectors for 58 NUTS-3 regions and the 2008-2019 period. In the empirical analysis section, we used a two-way fixed effects panel data model to analyze the effects of these agglomerations on sectoral export performance. The findings indicate that the advantages of Porter-type agglomeration are limited to certain mid-tech sectors. Also, labor-intensive low-tech manufacturing sectors are found to have no agglomeration advantages in export performance compared to mid-tech sectors. The findings indicate a technology policy need and an inclusive smart specialization strategy (3S) to enhance productivity and export competitiveness. [ABSTRACT FROM AUTHOR]

Assuming that settlement morphologies and landscape structures are the result of economic transformations, the present study illustrates a statistical framework investigating metropolitan growth due to the inherent changes in landscape configurations vis à vis socio-demographic functions. Focusing on the evolution of their spatial drivers over time, metropolitan development was studied by adopting land parcels (or 'patches', as they are referred to in the ecological literature) as the elementary analysis unit—with the individual surface area and a specific shape indicator as the dependent variables and background socioeconomic attributes as predictors of landscape change over time. We specifically ran a Multiscale Geographically Weighted Regression (MGWR) testing the spatial dependence of the size and shape of landscape parcels on a vast ensemble of socioeconomic factors in a dense region (metropolitan Athens, Greece) with natural landscapes exposed to increasing human pressure. To investigate the spatial direction and intensity of the settlement expansion and landscape change, local regressions using the parcel area and fractal index (perimeter-to-area ratio) as the dependent variables and the elevation, distance from selected economic nodes, transport infrastructures, and natural amenities as the predictors were run separately for 1990 and 2018, representative of, respectively, a mono-centric configuration and a moderately polycentric organization of economic spaces. In a strictly mono-centric setting (1990), the parcel size showed a linear dependence on the distance from business districts, elevation, and wealth. Changes in the relationship between the parcel size and spatial (economic and non-economic) drivers may suggest a latent process of settlement de-concentration, and a possible shift toward polycentric development (2018), as documented in earlier studies. By integrating socioeconomic and ecological dimensions of landscape analysis and land evaluation, the empirical results of this study outline the increased complexity of dispersed landscape structures within dense metropolitan regions and along urban–rural gradients in Europe. [ABSTRACT FROM AUTHOR]

This article estimates labour‐allocation efficiency at the firm level in China and studies whether inward foreign direct investment (FDI) has contributed to its improvement. We construct a city‐level FDI intensity measure and identify the causal effect of FDI entry on labour‐allocation efficiency. The results indicate that when FDI increases by 10%, the average labour‐allocation efficiency increases by 7.2%. The mechanism analysis further implies that the alleviation effect of FDI entry on firm‐level labour‐allocation efficiency prefers the agglomeration learning rather than the agglomeration matching channel, that is, firm‐level labour‐allocation efficiency increases only when they are more exposed to the agglomeration of foreign capital and more related industries. The heterogeneity analysis further reveals that firms located in less segmented regions, facing higher training costs, of private‐ or foreign‐owned ownership types, having a higher ratio of high‐skilled labours increase labour‐allocation efficiency more upon FDI entry. [ABSTRACT FROM AUTHOR]

This paper analyzes city system dynamics, based on a theoretical framework relating interaction potentials to agglomeration economies and density externalities. It employs new historical time series data on population size of cities in Sweden over two centuries (1810–2010) and introduces two schematic growth factors: (i) the intra-city potential and (ii) the extra-city potential located in in rings encircling each city. The first factor is measured by each city's population size, while the second is a vector of distance-discounted population size for each of a city's urban rings. In this way, we can explain a city's growth as a function of its interaction potential inside the city, as well as inside the first, second hand third ring. A robust finding is that cities with large ring potentials follow different development paths than those with small ring potentials. We also find clear evidence of structural change between the two centuries 1810–1910 and 1910–2010. In the first period, city growth is positively impacted by the size of the intra-city potential, whereas the same potential dampens or reduces the growth in the second period. Moreover, the ring potentials outside the city tend to switch from having negative growth stimulation in the first period to having positive stimulation in the second period. [ABSTRACT FROM AUTHOR]

Clusters in the developing world do, to a large extent, attract low‐educated individuals, and these clusters are in some cases, characterized by urbanization without industrialization. This contrasts starkly to clusters in advanced economies that attract high‐skilled individuals and entrepreneurs. In this paper, we develop a model of agglomeration and spatial sorting that is consistent with these two types of different agglomeration processes in developed and developing countries. We show that a poor country that has an agglomeration with low skilled individuals, may get stuck in this equilibrium, but that free mobility of human capital from the outset nevertheless is superior from the perspective of total social welfare. [ABSTRACT FROM AUTHOR]

Theory and evidence from developed economies suggests that innovation activities benefit from agglomeration economies associated with urban economic density. However, despite the fact that eighteen of the world's top twenty cities are in developing countries, we do not know whether agglomeration affects innovation in the same way in developing countries. We propose that, while there are still agglomeration benefits, the development path followed by cities in developing countries also creates significant agglomeration costs and these act to limit innovation. We build a unique database to measure consistently both urban economic density and innovation across a large number of developing countries. Based on geospatial information, we combine data on nightlights at the city level to proxy urban density with information on innovation activity at the firm level. We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. That is, the largest cities in developing countries are not able to act as sustainable sources of innovation. Cities in developing countries therefore display different patterns of agglomeration from those documented in the literature focused on developed countries. Our analysis explores the relationship between UN Sustainable Development Goal (SDG) 9 which fosters innovation, and SDG 11 which promotes sustainable and resilient cities. Our results suggest the importance of addressing urban agglomeration costs as a means to facilitate innovative activity. [ABSTRACT FROM AUTHOR]

With the support of multi-source data, this paper takes Wuhan as the research area, starts with four dimensions of function, structure, level and density, and starts with four characteristics of social economy, land use, landscape and population, and uses the Densi-Graph and the gravity model to quantify the spatial scope of the peri-urbanization areas comprehensively. On this basis, the paper analyzes the spatial distribution, land use and landscape pattern of periurbanization areas. The results show that: (1) Using the Densi-Graph method to determine the threshold point of nuclear density to define the spatial contours of peri-urbanization areas, and combining with the gravity model method based on the grid scale to identify the spatial agglomeration centers of peri-urbanization areas, it can effectively solve the problem that the administrative statistical constraints of the data do not adequately express the characteristic attributes, and realize multi-dimensional quantitative identification under complex urban and rural scenarios. (2) The peri-urbanization area of Wuhan in 2020 is 1 025. 43 km², accounting for 6. 35% of the total urban area,which is developed in a "circle and axis" pattern around the outer edge of the urban core, Wuhu, Zhuankou and other urban sub-centers and Yangluo, Zhucheng, Zhifang and other new city centers. (3) The main land use types in peri-urbanization areas are construction land, cultivated land and water, and the land use constitutes "half city and half township" with a fragmented distribution, and the landscape types are characterized by diversity, heterogeneity and high degree of fragmentation. [ABSTRACT FROM AUTHOR]

We discuss the effect of cluster and firm heterogeneity on knowledge sourcing in an overseas research and development (R&D) lab. Building on agglomeration economies, absorptive capacity view, and social capital theory, this paper proposes theories that explain certain conditions under which the enjoyment of benefits from the knowledge source can be maximised. This paper suggests that 1) the level of knowledge absorption from a region by an overseas R&D lab is likely to increase as the region contains more diverse technological profiles with a similar science base; 2) the level of knowledge absorption from a region by an overseas R&D lab is likely to increase as the lab enhances its technological capabilities; and 3) the level of knowledge absorption from a region by an overseas R&D lab is likely to increase as the lab becomes older in the cluster. We simultaneously suggest that cluster traits and firm heterogeneity influence the learning of overseas R&D labs. The consideration of both factors will provide a better understanding of knowledge spillover and its contribution to firms in the cluster. [ABSTRACT FROM AUTHOR]

This paper employs the system generalised method of moments approach and panel data of Chinese resource‐based cities at the prefecture level for the period of 2003–2019 to investigate the effects of two types of service sector agglomeration on industrial structure dynamics. The results show that an increase in 'specialised agglomeration' of services would inhibit industrial structure rationalisation and upgrading. However, an increase in 'diversified' agglomeration of services promotes industrial structure upgrading though it also inhibits industrial structure rationalisation. Furthermore, it is also found that an increase in diversified agglomeration would inhibit industrial structure rationalisation in eastern cities and industrial structure upgrading in western cities but promote industrial structure rationalisation and upgrading in central cities. These insights suggest the importance of fostering the appropriate form of service sector agglomeration within resource‐based cities. Leveraging the synergistic linkages between the service sector and other industries could enhance the industrial structure optimisation of resource‐based urban economies. [ABSTRACT FROM AUTHOR]

This study explores the intricate relationship between Foreign Direct Investment (FDI) and spatial knowledge within the European Union (EU) subnational regions. While existing research has examined this relationship, it often oversimplifies the complexities involved. This study aims to fill this gap by dissecting various types of inward FDI based on sectors, investor origins, and spatial knowledge forms. Using extensive data spanning over 13 years, the study employs negative binomial regression analysis to investigate 223 EU subnational regions. The findings reveal that localized specialization, urbanization, and population density play significant roles in attracting FDI, particularly in manufacturing and logistics. Conversely, capital cities tend to deter manufacturing-related FDI due to resource constraints. Moreover, the study identifies the importance of agglomeration economies, measured by urbanization, in driving FDI across different models given the knowledge spillovers and technological externalities found in densely populated areas. In light of these findings, tailored policies that account for diverse factors – such as regional agglomeration economies and strategic value chain activities – are essential. Recognizing the complexity of multinational business activities is crucial for designing effective policies aimed at reducing regional disparities within the EU. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of agglomeration on manufacturing firms' export mode decision-making. A detailed firm-level dataset combines the manufacturing and product-level transaction trade data from China. We use a dynamic multinomial logit model with random effects to analyze the effects of agglomeration on the transition probabilities of firms' exporting mode. The results indicate that the agglomeration of direct exporters positively affect firm's choice of exporting directly, and further indicate that the agglomeration effect is identified through productivity spillover. Moreover, these effects are not destination-specific, but are industry-specific. [ABSTRACT FROM AUTHOR]

This study uses a data envelopment analysis model to assess the inclusive green growth (IGG) level for five major urban agglomerations in China from 2013 to 2020. In addition, it analyzes the potential digital finance (DIF) mechanism affecting IGG. Several conclusions are obtained. First, the IGG levels of the five major urban agglomerations in China increase yearly, narrowing their gaps. Second, DIF can significantly promote IGG. Third, heterogeneity exists in the impact of DIF on IGG owing to the differences in city tiers and sizes. Meanwhile, the coverage and digitization level of DIF significantly and positively promote IGG. Fourth, financial supervision intensity and human capital level play a single‐threshold effect in the relationship between DIF and IGG. The contribution of DIF to IGG is further enhanced when financial regulation intensity and human capital level exceed the thresholds 0.0013 and 1.5084, respectively. Lastly, green technology innovation, regional entrepreneurship, and industrial structure upgrading have intermediary roles in the baseline path of DIF impacting IGG. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Taking bus and subway into account, an asymmetric polycentric urban system equilibrium model is constructed to explore the impacts of rail transit on the distribution of residents and labor force in a linear polycentric urban system. By comparing the urban system equilibria before and after the introduction of rail transit, the influence of rail transit on urban performance is analyzed. The results show that the introduction of rail transit makes the advantaged center more attractive for the labor force, and further widens the economic level gap between the two business centers. Specifically, larger distance between the two commercial centers and the higher subway travel cost would strengthen the polarization effect caused by rail transit investment. Since the improvement of transportation makes it easier for residents to accept long-distance commuting and they are more willing to choose the jobs in the advanced center. [ABSTRACT FROM AUTHOR]

In this paper we study the role of within‐city roads layout in fostering city growth. Within‐city roads networks have not been studied extensively in economics although they are essential to facilitate human interactions, which are at the core of agglomeration economies. We build and compute several simple measures of roads network and construct a sample of over 1800 cities and towns from Sub‐Saharan Africa. Using a simple econometric model and two instrumental variable strategies based on the history of African cities, we then estimate the causal impact of within‐city roads layout on urban growth. We find that over the recent decades, cities with greater road density and road evenness in the centre grew faster. [ABSTRACT FROM AUTHOR]

This paper compares the size distributions of cities when they are measured using gridded population and nighttime lights (NTLs) data. To do so, we exploit recent and accurate satellite imagery to proxy urban economic activity. Similarly to related studies, our results suggest that population is more equally distributed than lights at the country level. However, and calling assumptions established for urban NTLs into question, our findings do not support a Pareto function for their distribution. We also obtain evidence of a nonlinear and heterogeneous link between population and lights for a global sample of cities. Grounded on our empirical analysis, we develop a simple theoretical framework that relates the difference between the distributions of population and light emissions to the strength of agglomeration economies. [ABSTRACT FROM AUTHOR]

We re‐examine the respective role of local density and local concentration of human capital in the agglomeration gains for about 750,00 individuals working in 304 commuting zones of metropolitan France over the period 2009–2015. Agglomeration gains are mostly driven by human capital effects over this period. Also, because it absorbs dynamic learning effects, the use of worker fixed effects to address spatial sorting of individuals may underestimate, by about two third, the wage premium with respect to local concentration of human capital over a midterm period. Finally, wage gaps stem more from differences in human capital in the private sector than in the public sector. We do not find evidence of a multiplier effect of public employment on local human capital externalities in the private sector. [ABSTRACT FROM AUTHOR]

• Complete descriptive panel models use absolute numbers on industry growth. • Decomposes agglomeration effects into industry, structure and spillover effects. • Identifies inter-industry relationships that define evolutionary growth regimes. • Simulation scenarios with manipulated values or coefficients reflect interventions. • The application finds compensatory growth that confirms a previous lock-in. Inter-industry relationships constitute growth regimes in regional evolutionary developments. The paper proposes a regression-based counterfactual simulation approach with location-level industry data in order to analyse systematically how the relationships between different industries and the growth regimes these relationships constitute differ across regions, and how these differences affect the response of regional development to interventions. At the core of the approach are complete descriptive panel regression models that decompose agglomeration effects into industry, spillover, and structure effects. With the identified coefficients simulations are carried out. To demonstrate its advantages, we apply the approach to the analysis of path-dependent employment growth in a livestock-intensive German location facing capacity constraints. In some of the scenarios, where individual industries are affected by exogenous shocks, we observe compensatory growth in other industries. This confirms the occurrence of evolutionary dynamics and the relevance of approaches that recognise and reproduce them. [ABSTRACT FROM AUTHOR]

It is of great significance to lead Chengdu-Chongqing economic circle to stride forward to world-class urban agglomeration, promote regional economic integrated development, and boost domestic circulation with regional circulation for accelerating the formation of a new development pattern with domestic circulation as the main body and the domestic and international dual circulation promoting each other. Based on the perspective of urban network structure, the urban network structure characteristics and differences of Chengdu-Chongqing Economic Circle are described by using the social network analysis method and the visualization function of ArcGIS spatial analysis tool on the basis of constructing the urban spatial connection network of transportation, economy, population and information by using the data of railway and highway passenger transport frequency, regional outward function influence quantity, population migration quantity and Baidu index. Finally, the optimization strategies and suggestions of the network structure of Chengdu-Chongqing economic circle are put forward from different perspectives. The results show that: (1) The urban network shows a dual-core circle radial spatial structure dominated by "Chengdu and Chongqing", and the overall network connection presents an "unbalanced" pattern. (2) The embryonic form of urban system is emerging, the network structure is not stable, and the resilience needs to be further improved. The overall index calculation shows that the tightness of the urban network is population> information> economy> transportation. (3) The "core-periphery" effect is significant, the "collapse" phenomenon is obvious, and there is no strong secondary central city. (4) The distribution of cohesive subgroups is highly different, and the spatial distribution of the cities in the agglomerated subgroups is basically in line with the geographical proximity. [ABSTRACT FROM AUTHOR]

Analyzing the trajectory and mechanism of rural industrial change is important for understanding urban–rural integration and facilitating rural revitalization. Based on the data of industrial enterprises in 1112 administrative villages of Guangzhou, China, from 1978 to 2020, we identify the evolution trend of rural industry by investigating the spatial–temporal dynamics of industrial changes in rural areas. An extended triple-process framework incorporating urbanization and greenization was employed to unravel the underlying mechanism of the trajectory of rural industrialization. The results highlight the transformation from rural to suburban industrialization. In the past twenty years, rapid urbanization has contributed to the establishment of development zones. The agglomeration economy has led to a higher concentration of manufacturing industries in these development zones rather than rural areas. The eco-friendly development has resulted in a green transition in rural areas, further restricting the growth of traditional rural industries. Our analysis provides a nuanced picture of Guangzhou's spatial–temporal dynamics of rural and suburban industrialization. Meanwhile, it emphasizes the importance of urbanization and greenization in explaining the recent transformation of industrialization in China. [ABSTRACT FROM AUTHOR]

The development of high-tech firms is a vital driver for the economic growth of a city but their distribution and location determinants at the intra-urban level are still unclear. We aim to deepen the understanding of location determinants of high-tech firms, so we construct an analytical framework and use GeoDetector to investigate high-tech firms in Shenzhen based on firms and POI open data in 2023. We find that high-tech firms are distributed in a spatial pattern of 'one core and six clusters' with high density in the western area despite industrial heterogeneity. Agglomeration economies and amenity-based factors play a significant role in the distribution of high-tech firms. Institutional factors and classical locational factors have more significant effects on the location of high-tech service and manufacturing firms, respectively. This study contributes to the literature on study spatial units, the influence of amenities, and industrial specificities. These findings highlight public policies on industrial park planning, transportation systems, and public services. [ABSTRACT FROM AUTHOR]

After the COVID-19 pandemic, the whole world will operate remarkably differently over its global production chain. This paper develops a general equilibrium model with endogenous industrial cluster and endogenous industrial network based on the division of labor and specialization to formalize and explore the interrelationship and rules of industrial cluster, network of division of labor, the economies of specialization and agglomeration under the new era of post-pandemic global economy. The model suggests that institutional efficiency of mutual trust, and competition among countries and industries will facilitate important circular effects, which will propel and shape the arrangement and allocation of industrial clusters, the position located at the production chain, and consequently the status of economic growth. In particular, the improvements in institutional efficiency of mutual trust over economic and technology systems will expand the demand for transactions and network size, which in turn will determine the development of cluster and network scope, as well as the position of the network. It offers a partially economic explanation of the current concern of de-globalization, decoupling and de-risking after the pandemic. [ABSTRACT FROM AUTHOR]

Did migrants make Paris a mecca for the arts and Vienna a beacon of classical music? Or was their rise a pure consequence of local actors? We use data on more than 22,000 historical individuals born between the years 1000 and 2000 to estimate the contribution of famous immigrants, emigrants and locals to the knowledge specialisations of European regions. We find that the probability that a region develops or keeps specialisation in an activity (based on the birth of famous physicists, painters, etc.) grows with both the presence of immigrants with knowledge about that activity and immigrants with knowledge in related activities. In contrast, we do not find robust evidence that the presence of locals with related knowledge explains entries and/or exits. We address some endogeneity concerns using fixed-effects models considering any location–period–activity-specific factors (e.g., the presence of a new university attracting scientists). [ABSTRACT FROM AUTHOR]

The gains from agglomeration economies are believed to be highly localized. Using confidential Census plant‐level data, we show that large industrial plant openings raise the productivity not only of local plants but also of distant plants hundreds of miles away, which belong to large multi‐plant, multi‐region firms that are exposed to the local productivity spillover through one of their plants. This "global" productivity spillover does not decay with distance and is stronger if plants are in industries that share knowledge with each other. To quantify the significance of firms' plant‐level networks for the propagation and amplification of local productivity shocks, we estimate a quantitative spatial model in which plants of multi‐region firms are linked through shared knowledge. Counterfactual exercises show that while large industrial plant openings have a greater local impact in less developed regions, the aggregate gains are greatest when the plants locate in well‐developed regions, which are connected to other regions through firms' plant‐level (knowledge‐sharing) networks. [ABSTRACT FROM AUTHOR]

This research investigates how exchange governance and the local market system influence a firm's adaptability to an economic crisis. This paper unveils a nuanced performance disparity by leveraging a rich dataset of manufacturing firms in Spain. While vertically integrated firms exhibit superior performance during periods of stability, they confront more significant setbacks in the aftermath of economic crises. This study demonstrates that the extent of this performance divergence is contingent upon the thickness of the local market system, supporting the hypothesis that vertically integrated firms derive reduced adaptive benefits from agglomeration economies. These findings shed light on the dynamic interrelationship between a firm's vertical scope and geographical context. They underscore the significance of a holistic assessment when determining the optimal approach to exchange governance. This assessment must evaluate the advantages and drawbacks of autonomous versus coordinated adaptation across economic cycles and geographies. [ABSTRACT FROM AUTHOR]

This article offers new evidence on agglomeration economies by examining the link between total factor productivity (TFP) and employment density in Italy. We investigate whether and how the TFP–density nexus contributes to explaining a relevant share of the marked productivity gap between the northern and the southern Italian regions. We estimate TFP for a large sample of manufacturing firms and then aggregate it at the level of local labour market areas. We tackle the endogeneity issues stemming from the presence of omitted covariates and reverse causation with an innovative set of diagnostic tests and an instrumental variable approach that relies on geological and historical data. Our estimate of the TFP elasticity to the spatial concentration of economic activities is about 0.045, a magnitude comparable to those measured for other developed countries. We also show that no significant heterogeneity emerges in the intensity of agglomeration economies across the country and that the positive TFP difference in favour of the firms located in the North is not due to the tougher competition taking place in those areas. [ABSTRACT FROM AUTHOR]

A growing body of studies has investigated the geography of entrepreneurship in developed countries, with entrepreneurship researchers recently extending this topic to the developing country context. However, geography-oriented studies that consider extreme spatial differences in such contexts remain scarce. To address this gap, this paper provides a spatial-econometric analysis of the role of agglomeration economies and knowledge spillovers on start-up rates across cities in Turkey between 2009 and 2018 by considering extreme spatial differences, a common characteristic of many developing countries. By doing so, this paper determines whether the leading stylized facts that are empirically tested in developed countries hold for developing countries and analyses the extent to which extreme spatial differences matter to regional entrepreneurship performance. The spatial-econometric analysis also offers an evaluation of the mimicking effect, which examines how nearby cities influence each other in the new firm formation process. The econometric model reveals that while the entrepreneurial patterns of developed countries have some relevance to Turkey in general, the outcomes vary significantly between leading and lagging regions. This underscores the crucial importance of accounting for entrenched spatial disparities in developing countries when researching entrepreneurship and the need to identify suitable policy combinations for promoting local ecosystems. [ABSTRACT FROM AUTHOR]

This study investigates peer effects and agglomeration impacts on the cost efficiency of South Korean rice farms using a five-year panel dataset of production costs. We employed a time-varying stochastic frontier cost function approach to estimate cost efficiency and a linear-in-means model to quantify peer influences. The findings underscore peer effects as central to understanding and enhancing farm productivity, particularly in rice farming regions. Both specialisation and diversity of agglomeration positively influenced efficiency, with specialisation having a larger impact. Peer effects were stronger in highly rice-specialised areas. These findings indicate the necessity of incorporating peer influences and regional specialisation in agricultural policymaking for productivity enhancement. A nuanced, evidence--based approach leveraging peer dynamics and agglomeration economies is advocated to boost the efficiency of farming practices. [ABSTRACT FROM AUTHOR]

Industrial convergence refers to the dynamic process in which different industries gradually form new industries through mutual penetration and cross. As an advanced form of industrial synergy, industrial convergence is crucial in building a modern economic system. Using a panel data set covering China's 30 provinces during 2006–2018, this study explores the impact of industrial convergence on regional high-quality development. The findings suggest that: (1) Industrial convergence is conducive to high-quality development, and this conclusion remains robust after a series of tests. (2) For heterogeneity, the positive impact of industrial convergence on high-quality development is greater in regions with optimized energy structure and high investment outward, as does the regions with reasonable financial structure and moderate economic agglomeration. (3) Productivity improvement and industrial upgrading are the mediating paths by which industrial convergence promotes high-quality development, and the former plays a greater role. [ABSTRACT FROM AUTHOR]

The improvement of transportation infrastructure can reshape the economic geogra‐ phy patterns. The opening of high-speed railways promotes the flow of innovation elements among regions, enhances the knowledge spillover effect, affects regional innovation activities, or even affects the structure of regional knowledge innovation network. Based on the extant literature, this article summarized the relationship between high-speed railways and knowledge innovation in cities along railway lines in terms of the exact impact, differential performance and the mechanism, and further explained the micro mechanism of the impact of the opening of high-speed railways on regional knowledge innovation from the perspective of enterprises. According to the literature analysis, this article draws the following conclusions. Firstly, high-speed rail‐ ways do have an impact on knowledge innovation, but there are regional differences, which are related to geographical distance and urban heterogeneity. Secondly, the opening of high-speed railways promotes the flow and agglomeration of innovation factors, and expands knowledge spillover effects, which will affect regional knowledge innovation. However, both the agglomeration effect and knowledge spillover effect have two sides, so they show different influence effects in different regions. Thirdly, the opening of high-speed railways is conducive to expanding the commuting field, broadening knowledge channels and increasing temporary agglomeration, so as to increase the opportunities for enterprises to obtain innovative talents, cross-regional co‐ operation and knowledge sharing, and promote their innovative output. Finally, this article puts forward an analytical framework and some topics worthy of in-depth discussion. [ABSTRACT FROM AUTHOR]

The research of the mechanism of university driving urban development is of great significance for China's urbanization development strategy under the knowledge economy. Based on the "university-town" interactive analysis framework, based on field research and spatial-temporal correlation analysis, it is found that the Italian university network and urban net‐ work have a high degree of overlap in spatial layout, population agglomeration, and industrial economy, which is the result of the continuous interaction and integration of the two in historical development. At the regional level, the expansion of both atenei and sedi universities from central cities to surrounding small and medium-sized cities promotes the optimization of spatial organization at the scale of metropolitan areas, the construction of scientific and technological innovation networks, and the daily commuting exchanges of personnel. At the urban level, universities are shaping the urban spatial structure and promoting urban, and universities play a leading role in the renewal process and promoting social and cultural integration. The experience of Italian universities in driving urban development, such as how to promote the linkage of "campus, park and community" in the process of new urbanization, has a reference value for my country's urban development. [ABSTRACT FROM AUTHOR]

Export performance is a highly debated topic in the literature, with no consensus on how to measure it or what factors determine it. Most studies divide these factors into internal and external determinants, with a focus on internal determinants. This study, however, focuses on external determinants, namely agglomeration economies such as localization and urbanization economies and export spillovers, and their impact on a firm's export intensity. Based on a large sample of Portuguese manufacturing SMEs over the period 2010 to 2018 (191,920 firm/year observations), the estimation results through the two-stage least squares method with fixed effects strongly indicate the existence of a positive relationship between agglomeration economies, particularly localization economies and export spillovers, and export performance. These findings suggest that firms located in areas with a high concentration of other firms in the same industry and other exporting firms tend to have better export performance, which has important implications for policymakers. [ABSTRACT FROM AUTHOR]

Copyright of Space & Society / Tér és Társadalom is the property of Centre for Economic & Regional Studies, Hungarian Academy of Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A research sample comprising 285 prefecture‐level cities and listed enterprises in China between 2005 and 2020 was handpicked to examine the impact of regional industrial agglomeration on the labor investment efficiency of enterprises, along with its heterogeneity effect. The research discovered that industrial agglomeration hinders the labor investment efficiency of enterprises in general. However, manufacturing agglomeration showed an inverted U‐shaped relationship with the labor investment efficiency of enterprises. Producer services agglomeration significantly hinders the labor investment efficiency of enterprises. The mechanism test results indicate that industrial agglomeration affects the labor investment efficiency of enterprises via the micro transmission mechanism of financing constraint and labor cost. Industry‐specific tests revealed that the effect of manufacturing agglomeration on labor investment efficiency is significant in technology‐intensive and high‐technology industries, whereas the effect of producer services agglomeration on labor investment efficiency is more significant in resource‐intensive industries. The heterogeneity study showed that the effect of industrial agglomeration on the labor investment efficiency of firms differs significantly based on firm characteristics. These findings offer a better comprehension of the microeconomic consequences of industrial agglomeration and broaden the research outlook on the intrinsic mechanisms and extrinsic causal factors of enterprises' labor investment efficiency. [ABSTRACT FROM AUTHOR]

We test the effect of going public on economic growth in the areas surrounding initial public offering (IPO) firms. We compare the effects of IPO filers that complete their IPOs with those that do not, using post-filing stock market fluctuations as an instrument for IPO completion. We show that IPOs that are large relative to the size of their counties lead to a 1.1 percentage point relative reduction in annual county-level establishment growth, with similar effects for employment and population growth. There are no corresponding effects for relatively small IPOs. These negative effects appear to be driven by a crowding out of local sector peers, but the crowding out also disrupts local agglomerations and slows down growth among other businesses that rely on local demand. Overall, our results indicate that macroeconomic gains from IPOs trade off against disruptions in local agglomeration economies where public firms originate. [ABSTRACT FROM AUTHOR]

Agglomeration economies can bring about positive externalities, while excessive agglomeration backfires. However, existing literature on place‐based policies mainly focuses on policies that enhance agglomeration economies. Few studies discuss dispersion policies coping with the negative externality from excessive agglomeration. Owing to the unclear effects of dispersion policies, we conduct empirical research on the noncapital function relief (NCFR) policy, which is implemented to decrease the agglomeration in Beijing, the capital of China, and promote the development of surrounding areas. Exploiting the difference‐in‐difference model, we find that the NCFR policy implementation significantly facilitates the economic growth of the surrounding areas of Beijing. Changes in the distribution of new firm entry and population are two main channels, while no significant effect on the productivity is found. Furthermore, areas that are less‐developed could benefit more from the NCFR policy. Our findings may enlighten other developing countries in urban economic management. [ABSTRACT FROM AUTHOR]

Recently, Finnish forest industries shifted from sectoral collective bargaining to firm‐level bargaining, and the IT services industry shifted to a hybrid of sector‐ and firm‐level bargaining. Using administrative data on monthly wages and the synthetic difference‐in‐differences method, I study the causal effects of collective bargaining decentralization on the level and dispersion of wages. Despite the substantial change in the level of collective bargaining, I generally find muted effects on the level and dispersion of wages. I find positive and economically and statistically significant effects on wage levels and within‐firm wage dispersion only for blue‐collar workers in the paper industry. [ABSTRACT FROM AUTHOR]

Copyright of Economica: Revistă Ştiinţifico-Didactică is the property of Academy of Economic Studies of Moldova (AESM) / Academia de Studii Economice din Moldova (AESM) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Given the importance of ICT diffusion in the development of the financial sector, this analysis is an effort to analyze the transmission channels between the two in high-income and middle and low-income economies over 2001–2019. We have used three variables, including the ICT index, individuals using the internet, and mobile subscribers, to represent ICT and three indices, including the financial development index, financial institution index, and financial market index, to make our results reliable and robust. We utilized a GMM method for conducting the empirical analysis. Generally, our results imply that ICT diffusion positively impacts financial development in high-income economies and negatively impacts middle and low-income economies. Our findings suggest that middle- and low-income-economy policymakers should follow the footprint of the high-income economies and increase the role of ICT in the financial sector for its development. [ABSTRACT FROM AUTHOR]

With the rapid development of the economy, a large amount of financial data will be generated during the continuous growth of enterprises. However, due to the explosive growth of the financial data range index, the use of machine learning methods to mine and analyse financial data is extremely important. Among them, accurate financial risk evaluation is an effective measure to prevent and resolve corporate financial crises. In this article, we use fuzzy clustering method to establish a financial risk early warning and evaluation model. Specifically, we use fuzzy C‐mean (FCM), half‐suppressed FCM, and interval FCM clustering algorithms‐based state construction financial risk early warning and evaluation models, to give an evaluation from two aspects of corporate financial indicators and non‐financial indicators system. In order to verify the feasibility and effectiveness of the fuzzy clustering algorithms used in financial data mining, we conducted experiments in financial data mining and early warning in real estate companies and ST companies. The experimental results show that the fuzzy clustering algorithms represented by the FCM clustering algorithm has achieved good results in financial data mining, and can achieve good results in financial risk analysis and financial risk early warning. [ABSTRACT FROM AUTHOR]