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Rapid global expansion of built-up areas and industrialization has led to significant environmental challenges, particularly in terms of anthropogenic carbon emissions. Consequently, it has become crucial to comprehensively understand the spatial dynamics of urban built-up areas and the associated socioeconomic transitions. This understanding serves as a critical foundation for formulating effective land use and industrial policies that not only promote economic sustainability but also contribute to the pursuit of environment related- sustainable development goals (SDGs). However, our knowledge about the dynamic relationship between urban industrial structure and built-up area patterns is limited. To address this gap, we use partial redundancy analysis (PRDA) to quantify the relative impact of key industrial employment sectors. The results indicate that the transformation of industrial structure has a significant influence on the spatial dynamics and morphologies of urban built-up areas. In addition, we found that the decline in agricultural population is associated with an increase in spatial isolation, while the growth of the manufacturing population affects changes in spatial extent and regularity. Furthermore, the combined impact of industrial and economic drivers accounts for up to 24.4% of the dynamics of urban built-up areas, with industrial transformation having a 3.82% greater impact than economic growth. These findings provide a valuable understanding of the interconnectedness between the spatial evolution of built-up areas and socioeconomic transitions, not only in China but also in other city clusters worldwide. Moreover, they might contribute to the knowledge of carbon neutrality pathways, further promoting sustainable development efforts. • Socioeconomic structure changes of BTH, YRD, and PRD cities were analyzed. • Urban morphological differentiation of BTH, YRD, PRD cities were analyzed. • PRDA effectively delineates the separate and joint effects of socioeconomic features. • Urban sprawl is associated with manufacturing and construction population growths. • Spatiotemporal heterogeneity exits in the socioeconomic effects. [ABSTRACT FROM AUTHOR]

China is facing the challenge of sustainable urban redevelopment due to its massive economic transformation process. As a unique product of the rapid urbanization of past decades, urban village has become a major obstacle for sustainable redevelopment because of its sub-standard infrastructure and disordered built environment. Redevelopment of ‘villages in the city’ (ViCs) is distinct from normal urban redevelopment because it involves the change of collective land ownership without de jure property rights to state land ownership with de jure property rights. What site characteristics, what ownership type, what geographical characteristics, make village sites more likely to be redeveloped? This study addresses this question with particular reference to industrial sites in Shenzhen. An analytical framework is developed based on the concept of rent gap to analyze the possible effects of these factors. An empirical investigation is conducted based on a set of data that covers all 44 village-owned industrial sites in the Nanshan District in Shenzhen. The findings suggest that village sites with better accessibility to good transportation facilities and the city centre are significantly more likely to be redeveloped and thus will be integrated into formal urban areas earlier than those located in less accessible areas. It is also demonstrated that fragmented land ownership and lack of legal land rights are not significant barriers for the sustainable redevelopment of such sites. [ABSTRACT FROM AUTHOR]

Renewable energy is necessary for sustainable social and economic development. This is particularly so with global energy shortages, the continuous deterioration of ecosystems and the environment, as well as the world population explosion. This article qualitatively and quantitatively analyzes the effects and problems of Chinese favorable land price policy on photovoltaics. In examining the favorable land price policy in China, this study develops a multiple-linear regression model to study the effects of favorable land price policy on photovoltaic power and photovoltaic industry. Data used in this research was mainly collected from 20 provinces in China. It is found that the development of PV in China has been greatly affected by the favorable land price policy. In the end, it is highly recommended that favorable land price policy should be continued for renewable energy. Systemic deficiencies can be overcome through continual reform and innovation of mechanisms. [ABSTRACT FROM AUTHOR]

In current practice, urban-rural development has been regarded as one of the key pillars in driving regenerative development that includes economic, social, and environmental balance. In association with rapid urbanization, an important contemporary issue in China is that its rural areas are increasingly lagging behind urban areas in their development and a coordinated provision of public facilities in rural areas is necessary to achieve a better balance. A model is therefore introduced for quantifying the effect of individual infrastructure projects on urban-rural balance (e-UR) by focusing on two attributes, namely, efficiency and equity. The model is demonstrated through a multi-criteria model, developed with data collected from infrastructure projects in Chongqing, with the criteria values for each project being scored by comparing data collected from the project involved with e-UR neutral “benchmark” values derived from a survey of experts in the field. The model helps evaluate the contribution of the projects to improving rural-urban balance and hence enable government decision-makers for the first time to prioritize future projects rigorously in terms of their likely contribution too. [ABSTRACT FROM AUTHOR]

Over the last couple of decades, urban areas around the world have been engaged in increasing initiatives, practices and experiments with a view to achieving social, economic and environmental sustainability. Echoing these movements, sustainable urbanization has entered many policy agendas. In practice, various aspects including eco-environmental protection, land development, housing, policy, population growth and migration and energy utilization have been noted and discussed by different scholars. In the context of China, these terms/keywords are found in studies across different scales and types of cities, each of which would have implications for our understanding of theory relating to sustainable urbanization. In response, this paper reports on a comprehensive literature review of these studies of sustainable urbanization, and further explores three key areas including evaluation, innovative solutions and engagement of all stakeholders that will move forward sustainable urbanization process across cities in China. [ABSTRACT FROM AUTHOR]

Urban and rural areas are two different yet coexisting systems. Developing countries such as China have been undergoing a rapid urbanization process. However, urbanization often causes competition for land resources between urban and rural areas, and such competition can result in conflicts between the two systems. To identify the risk factors of urban-rural conflict, this paper utilizes a research framework including content analysis, brainstorming and semi-structured interviews. The results indicated that the main risk factors between urban and rural areas comprise conflicts in property, resources and development. Suggestions are proposed to reduce the conflicts occurring between urban and rural areas during the urbanization process. [ABSTRACT FROM AUTHOR]

Studies of the resilience of smart cities can provide new insights for the sustainable development of cities, with important practical significance for improving their carrying capacity, disaster resistance, and development capacity. However, despite the recent large-scale development of smart cities in China, it is still uncertain whether smart cities could effectively promote urban resilience. Exploiting the quasi-experimental nature of smart city development in China, this paper uses DID and PSM-DID to determine their impact on urban resilience. Four aspects of urban resilience are analyzed: economic resilience, social resilience, ecological resilience, and infrastructure resilience. The results show that the development of smart cities can improve social resilience considerably without any obvious effect on economic and ecological resilience and even negatively affect infrastructure resilience; the distribution effect, technological effect, and structural effect are important mechanisms for smart cities to influence urban resilience; and smart cities that have a sound industrial structure, enough good-quality companies, large size, and a large pool of highly-skilled labor are much more likely to be associated with a high level of urban resilience. Policy suggestions are also provided to promote the simultaneous improvement of smart cities and urban resilience, and hence help establish a new 'urban resilience' model. [ABSTRACT FROM AUTHOR]