Search

Cross‐city spillovers among housing markets are usually modelled by the classical spatial autoregressive models, which usually suffer from identification problems in practice. This paper investigates the cross‐city house price spillovers arising from city network externalities wherein a city's connections with other cities in the urban network create the external house price premium through productivity and amenity gains. Using a cross‐sectional data set for an urban system in eastern China, we present significant evidence for positive network spillovers by the application of spatial lag of X model and spatial Durbin error model. Besides, common shocks are also proved to be responsible for cross‐city dependence of house prices. [ABSTRACT FROM AUTHOR]

This paper investigates the causal relationship between financial development and the urban–rural income gap in China. Using a bootstrap Granger panel causality analysis, the result indicates that financial development influences urban–rural income gap mainly in Eastern China. The high level of financial development in this region enables rural areas to increase its income. Our results also confirm the existence of the financial Kuznets curve in Eastern China where urban–rural income gap would be first increased and afterwards decreased by financial development. The financial development itself is not dependent on urban–rural income gap as it largely depends on government policies and economic growth. [ABSTRACT FROM AUTHOR]

Cities are not only connected through conventional infrastructure, but also through digital infrastructure. This paper tests whether digital connectivity patterns follow traditional ones. Using a generalized spatial interaction model, this paper shows that geography (and distance) still matters for an extensive set of world cities. With a view to the rapidly rising urbanization, the attention is next focused on the emerging large cities in China to test the relevance of distance frictions − next to a broad set of other important explanatory variables − for digital connectivity. Various interesting results are found regarding digital connectivity within the Chinese urban system, while also here geography appears to play an important role. [ABSTRACT FROM AUTHOR]

Stockbreeding industries are increasing rapidly in rural areas around big cities in China. This increase carries high risks to the environment due to emissions of large amounts of water pollutants and greenhouse gases. On the other hand, stockbreeding wastes are a typical biomass resource and can be used as an energy source by advanced technologies. In this study, we selected Miyun County and focused on analysing the synthetic environmental policies as endogenous variables by computer simulation including the introduction of advanced technologies to improve the environment and provide more biomass energy. The model considered both the total ecological system and the socio-economic situational changes. The purpose of our research is to establish effective utilization methods for biomass resources as well as co-ordinate resource reutilization, environmental preservation and economic development, and finally realize sustainable development of the society. [ABSTRACT FROM AUTHOR]

New Economic Geography (NEG) models predict that locations with market access advantages have higher wages and larger labour inflows. Using comprehensive prefecture-city level data for China, the study estimates a wage equation derived from a NEG model. The results support the NEG explanation for wage disparities across cities. An application of shock experiments on 230 prefecture-cities in China shows that the average effect of income changes differs greatly across locations. In particular, income shocks generated in core cities have a higher average impact in the rest of the country than shocks generated elsewhere. [ABSTRACT FROM AUTHOR]