No abstract

No abstract

No abstract

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. those of Tables 2,3. These can be made available upon request.RODRÍGUEZ-POSE AND ZHANG | 655 6 Endogeneity can be associated with a number of factors, including missing variables, reverse causality, and measurement errors. The use of system GMM is unlikely to fully address all these biases. In particular, the main source of endogeneity -reverse causality-cannot be really treated empirically without rigorous theoretical arguments. 7 The distance is the Euclidean distance between city i and city j. ORCID Andrés Rodríguez-Pose

No abstract

No abstract

Green infrastructure (GI) plays a fundamental role in achieving urban pluvial flood management, mitigating urban heat island effect, and improving living suitability. Residents’ participation is the main driving force of GI implementation. Based on semi-structured interviews, GIS spatial analysis, and multiple regression, we investigated residents’ willingness to participate in the implementation of GI in public and private space and identified the influence factors in Shanghai, China. The results show that, compared with private space, residents prefer to implement GI in public space, where they have different preferences of GI measures. On urban scale, residents’ willingness to participate in the implementation of GI in private space is characterized as “high in the inner city, low in the suburban areas”, while the spatial difference is insignificant for public space. In addition, the factors affecting residents’ willingness to participate in the implementation of GI are different in private and public space. The deterministic factors of GI participation are gender, education level, and floor for private space, while only include building age for public space, in addition to the common factors of free time, cognition of GI, perception of pluvial flood risk, supportive factors, and environment-improving factors that can influence both private and public space GI participation. Our analysis therefore provides valuable information for policymakers concerning nature-based solutions to climate change adaptation and urban sustainability.

No abstract