Industrial restructuring is widely considered an important force in regional economic growth and sustainable development. With increased globalization and economic transition, a dramatic industrial restructuring has been taking place in China. Applying geographically weighted shift-share model (GW-SSM) and geographically and temporally weighted regression model (GTWR), we analyze (re)location dynamics and determinants of the manufacturing industry in the Yangtze River Delta (YRD) from 1999 to 2013, with particular attention to the implications of economic transition and institutional restructuring. We find that high-tech and capital-intensive manufacturing industries agglomerated in coastal cities, while labor-intensive and resource-based sectors have become spatially more dispersed to peripheral areas. We also find that the development of service and high-tech industries, rising labor costs, and more strict environmental regulations have facilitated the geographic dispersion of labor- and pollution-intensive industries. Moreover, regions with advantages in intermediate goods, preferential policies, and urbanization economies are attractive to capital- and technology-intensive manufacturing industries. Our research suggests that development policies should be tailored to specific regions to promote local production and innovative networks and make manufacturing industries more competitive.

Industrial space is widely considered a fundamental component of urban structure and has been significantly affected by the transitional process in China since the late 1970s. This study investigates the restructuring trajectories and underlying factors of manufacturing firms in Nanjing to detect intraurban dynamical trajectories and spatial patterns. The result implies that Nanjing has witnessed significant suburbanization of manufacturing with the successive exit of old firms and gradual emerging of specialized areas in the peripheral suburbs. In particular, development zones (DZs) have become major bases of new or relocated firms and consequently changed the spatial pattern from a monocentric one toward a polycentric point-axis pattern. Employing binary logistic regression and spatial lag/error models, this study has found that the triple process of marketization, globalization, and decentralization, coupled with the new-type urbanization, has significant influences on the restructuring of urban spaces in China through the price mechanism, production networks, policy reforms, and environmental changes. In addition, the fieldwork survey and semistructured interviews in the old city center show that although the market has played an increasingly important role in driving old firms to migrate from the city center and attracting new firms to concentrate in those planned areas in the suburbs, preferential policies and advanced facilities constructed by local governments are still the main reason why firms concentrated in various DZs.

This paper proposes a cost-benefit framework to address the role of parcel and neighborhood conditions, as well as government policies, and investigates the spatial determinants of urban land expansion in Nanjing, one of the sub-centers of the Yangtze River Delta (YRD). Using spatial regression models, we find the significance of the economy of scale, agglomeration, accessibility, and government policies in Nanjing’s urban growth. In the earlier stage, urban expansion in Nanjing was mainly driven by the development of infrastructure. Since entering the 21st century, the emerging commercial and industrial sub-centers have become the major centers of growth, which has changed Nanjing’s spatial structure from compact monocentric to a polycentric one. We also highlight the importance of government policies that have been strengthened by various national strategies, including the “New-type Urbanization” and “Beautiful China” strategies. Different from cities in the Pearl River Delta, Nanjing has a more significant top-down process in its development, which indicates that the municipal government of Nanjing is playing a more important role in urban growth.

Through a case study of Kunshan, China, this paper shows how a local state utilised place-based leadership to enhance regional economic resilience under the COVID-19 pandemic crisis. It unpacks how Kunshan effectively mitigated early economic disturbances induced by the COVID-19 pandemic, by two ways of leadership actions, namely, enacting jurisdictional power (that is formal leadership), and mobilising wide official and interpersonal networks (that is network leadership). Four specific local-state-led adaptive resilience processes or strategies are identified: stabilising labour supply, mitigating supply-chain disruptions, alleviating financial strains and reconfiguring market orientations. Through these proactive endeavours, the local state played an enabling role in aligning diverse stakeholders and resources across places, scales and sectors, thereby allaying economic shocks and enhancing regional economic resilience. This study contributes to the resilience literature by developing an agency-centric perspective to understanding regional economic resilience during the COVID-19 pandemic.

Drawing upon the New Industrial City (NIC) projects by China Fortune Land Development (CFLD), a Shanghai stock-listed top 10 real estate enterprise, this article accounts for the emergence of business-promoted city-regionalism as a novel mechanism for industrial zone development in small cities near large metropolises. Lacking sufficient capital and professional personnel, local governments of these small cities made long-term contracts with CFLD, a private company, to build and develop industrial zones under the brand CFLD NIC. This novel phenomenon demonstrates the state orchestration of business-promoted city-regionalism, namely, a variegated form of state entrepreneurialism prevalent in China.

The ripple effect of housing price movements between cities has been extensively investigated, but there are relatively few studies on this topic within a metropolitan context, especially at the submarket level. This paper describes the use of ripple effect theory to examine the diffusion process and convergence of intra-urban housing prices at the submarket level in Shanghai, an emerging global city in China. The analysis is based on directed acyclic graphs, local indicators of spatial association time-paths, and a recently developed convergence test. The empirical results of grouping analysis identify 25 submarkets in Shanghai, and the diffusion of housing prices between these submarkets is found to be caused by both geographical and economic proximities. There is also a complex recursive process of price spillovers from high- to low-priced submarkets, and vice versa, which contributes to the spiraling local housing prices. Housing prices diverge across all submarkets, and the whole market can be divided into three convergence clubs. Finally, these convergence clubs have a circular structure with a degree of continuity. This study broadens our knowledge of the price interrelationship among housing submarkets at the intra-urban level. These findings have profound implications for urban planners, policy makers, and local residents.