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This paper discusses whether high‐speed rail (HSR) construction in China promotes urban economic growth, and it uses social network analysis (SNA) and a panel threshold model. We provide robust evidence that HSR networks have non‐linear effects on the urban economy. Urban location and transportation hub status change as the density of HSR networks increases, and from 2008 to 2017, the national average annual growth rate of the weighted degree centrality (WDC) was 44.93%. We find the WDC and betweenness centrality (BC) have positive influences on urban economic growth. However, HSR network expansion reduces the economic benefits of HSR because the marginal contribution of new HSR lines to economic productivity decreases and there is a crowding out effect caused by excessive agglomeration. HSR networks can promote the economy of Western China to a greater extent and can promote the economy more in small cities than in large and medium‐sized cities. These findings can help the government rationalize its strategy for designing HSR lines in various regions. [ABSTRACT FROM AUTHOR]

Regional inequality in the process of economic growth has recently been a popular topic. This paper creatively proposes contribution decomposition methods to divide various regions' contributions into economic contribution and population contribution. The methods consider not only economic growth but also population change, which may be more effective than the traditional method that uses the per capita GDP (gross domestic product) as its single measurement indicator. Moreover, the objective is to take a step forward and reveal the spatio‐temporal evolution characteristics of regional disparities by integrating barycentre model and economic development equilibrium model. Lastly, the applicability of the research method proposed in this paper is verified by a case study of Jiangsu province, China; the results show a new regional economic pattern in Jiangsu province. [ABSTRACT FROM AUTHOR]

Perceptions of social mobility vary across countries. However, past studies have mostly focused on populations in Western developed countries. Little is known about perceptions of social mobility in non‐Western developing countries. The current paper focuses on Chinese perceptions of social mobility using a large‐scale nationally representative sample. We found that, overall, Chinese believed in upward social mobility. Moreover, different patterns of perceptions of social mobility were identified, which suggest that respondents experienced either upward or downward social mobility in the past, but all of them thought that they can move up in the future. Perceptions of social mobility were also linked to important sociodemographic and economic factors. We discuss these findings in relation to the Chinese economic context. [ABSTRACT FROM AUTHOR]

Economic growth in China in recent decades has largely rested on the dynamism of its cities. High economic growth has coincided with measures aimed at improving the efficiency of local governments and with a mounting political drive to curb corruption. Yet the connection between government institutions and urban growth in China remains poorly understood. This paper is the first to look into the link between government efficiency and corruption, on the one hand, and urban growth in China, on the other hand and to assess what is the role of institutions relative to more traditional factors for economic growth in Chinese cities. Using panel data for 283 cities over the period between 2003 and 2014, the results show that the urban growth in China is a consequence of a combination of favorable human capital, innovation, density, local conditions, foreign direct investment, and city‐level government institutions. Both government quality—especially for those cities with the best governments—and the fight against corruption at the city level have a direct effect on urban growth. Measures to tackle corruption at the provincial level matter in a more indirect way, by raising or lowering the returns of other growth‐inducing factors. [ABSTRACT FROM AUTHOR]