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Abstract Social inclusion poses challenges in many areas, especially regarding immigrants. This study contributes to the understanding of the multidimensional nature of livelihoods of immigrants and non-immigrants and their associated satisfaction, with an empirical study of Nansha Special Economic Zone in China. Overall levels of immigrants' livelihoods were found to be lower than those of non-immigrants, especially in the social and physical dimensions. Immigrants with higher livelihood capital were more satisfied than those with lower livelihood capital, and they were generally less satisfied with their livelihoods than non-immigrants at similar livelihood levels. These results advance our understanding of the situations of immigrants compared to non-immigrants, informing the policy-making process better dealing with provisions to improve living conditions in desired ways towards socially inclusive development. Highlights • Levels of immigrants' livelihoods were found to be lower than those of non-immigrants. • Immigrants with higher livelihood capital were more satisfied than those with lower. • Immigrants were not satisfied with their financial capital. • Policies that treat immigrants as equal to non-immigrants are required. [ABSTRACT FROM AUTHOR]

To increase the understanding of how the external environment impact the local industrial development, this study builds a conceptual framework of industrial evolutionary development by integrating evolutionary and developmental theories from the perspective of evolutionary economic geography. This study emphasised the combination of two mechanisms. The first evolutionary mechanism consisting of variation, selection and retention, and the diversity within and between enterprise clusters serves as the starting point for evolution. The external environment selects and retains the most competitive enterprises under the mechanism of selection. The second developmental mechanism is the influence of the external environment on enterprises. The external environment screens and affects the development of firms at and across multiple levels, same level and across levels. Based on the case studies of the e‐sports industry in China, this study finds that technological development has driven the transformation of the e‐sports industry. Additionally, location cost, spatial proximity, local policy, urban strategy and national planning have been identified as crucial factors that influence the location choice of the e‐sports industry. This study highlights the importance of paying more attention to environmental dynamics in the research and practice of industrial evolution. [ABSTRACT FROM AUTHOR]

Efforts to deal with anthropogenic environmental impacts are focussed predominantly on cities. This paper applies metafrontier-data envelopment analysis (DEA) to evaluate the capacity of 286 Chinese cities of different sizes and in different regions towards green growth development and assesses gaps in their efficiencies. The determinants of efficiency, including regional and population size effects, were estimated using logistic regression model. Results show that the state of green growth efficiency was different for cities of different sizes and from different regions, and gaps existed compared to the best production frontier. The paper suggests that more endeavours are required for environmental and social dimensions, and a short-term target can include achievement of group frontier efficiency and significant reduction in technology gap ratios. Owing to significant population size effect, policy programs should have target plans for cities of different sizes as they differ in performance and capacity building. [ABSTRACT FROM AUTHOR]

Growth in car ownership has significant impacts on the use of urban space and management of urban environments, which makes it a topic of increasing interest especially for developing countries such as China. The dynamics of and factors influencing ownership in Chinese cities need careful investigation. Using fixed effects models applied to annual panel data (1994–2012; 293 cities) this study aimed to achieve the following: 1) assess the relationships between car ownership and average annual income per capita , population, built-up area, road area per capita , urban population density, number of taxis and bus passenger volume; 2) examine the variation of these relationships across geographical regions (East, middle, and West China) and city sizes (cities with small, medium, large, and super-large populations). The results showed that car ownership was positively associated with average annual income per capita , built-up area, road area per capita , urban population density, and number of taxis at the national level. All associations, except with the number of taxis, varied significantly across geographical regions. Built-up area, road area per capita , and number of taxis had different associations with car ownership depending on city sizes. The findings improve the understanding of relationships between car ownership and urban environments vis-a-vis variations in income and infrastructure per capita , population density, and transportation alternatives. These results have important policy implications for managing cars and health problems related to cars in China. [ABSTRACT FROM AUTHOR]

Industrial parks have been tested in various regions around the world, in attempt to foster innovation and fuel economic growth. Despite the importance of industry co-agglomerations in regional growth, few studies examine them in regional geographic space. This paper combines exploratory spatial data analysis and input–output method to explore the spatial pattern of key industrial co-agglomerations in Beijing, which is illustrated by location, function, frequency, spatial hierarchy and spacing. The results contribute to linking abstract economic and actual geographical spaces in urban and regional growth, enabling urban and regional planners to judge and evaluate planning initiatives before and after implementation. The failure of sub-center plans and risks of industrial parks schemes in Beijing are addressed. By considering industrial input–output relations including environmental and human resources, urban planners can optimize the development of such co-agglomerations to foster sustainable urban development. [ABSTRACT FROM AUTHOR]

Economic clusters have been a central focus of current urban and regional research, policies and practices. However, a methodology to identify and analyze policy-relevant economic cluster dynamics is still not well developed. Based on input-output (I-O) data of 1987, 1992, 1997, 2002 and 2007 of Beijing, this article presents an adapted principle component analysis for identifying the evolution of local economic cluster patterns. This research addresses the changes of economic interaction of industries with complementary and common activities over time. The identified clusters provide an insight into the reality of economic development in a diversifying urban economy: the increasing importance of services and the growing interaction between service and manufacturing industries. Our method therefore provides the analysts with a better understanding of the emergence, disappearance and development of economic clusters citywide. The results could be used to assist monitoring urban economic development and designing more practical urban economic strategies. [ABSTRACT FROM AUTHOR]

This study examines the dynamic agglomeration economies through matching channel between human capital agglomeration, regional economic development, and housing prices. Using data from 31 Chinese provinces from 1999 to 2015, it employs a panel vector auto regression model to study the interactive relationships among these factors. Overall, the results show that human capital agglomeration has a positive long-term influence on housing prices and economic development, and has become a determinant of regional economic growth. Housing prices have a negative long-term influence on economic development. However, human capital accumulation responds positively to housing price in regions other than municipalities. These findings suggest that vie for talent through housing policy might not be effective in underdeveloped regions and could lead to misallocation of government fiscal resources. • Relations among human capital, housing price and economic growth are examined by panel VAR model. • Human capital affects regional economic through labor market effects. • Regional economic affects human capital through its agglomeration and matching. • Housing price affects human capital through wealth effects or crowd-out effects. • Housing price affects regional economic through industrial agglomeration. [ABSTRACT FROM AUTHOR]