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  1. AU="Yurong Qiao"
  2. AU="Shapera, Shane"
  3. AU="O'Connor, Richard J"
  4. AU="Li, Zhixing"
  5. AU="Fender, Christian"
  6. AU="Frangou, Nikoletta"
  7. AU="Chan, Curtis"
  8. AU="Yang, Shilun"
  9. AU="Viswanathan, Thiruselvam"
  10. AU="Rexach, Irene"
  11. AU="CUI Yongchun"

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  1. Artikel ; Online: Separating the consumption and investment demands for housing

    Mi Zhou / Yurong Qiao / Jiahong Guo

    Heliyon, Vol 9, Iss 10, Pp e20683- (2023)

    Evidence from urban China

    2023  

    Abstract: Over the last two decades, housing price-oriented regulation of the real estate market has sparked various debates in several contexts, including policy effectiveness and institutional bias. Scholars have explored the broad impact of policies such as ... ...

    Abstract Over the last two decades, housing price-oriented regulation of the real estate market has sparked various debates in several contexts, including policy effectiveness and institutional bias. Scholars have explored the broad impact of policies such as land use controls, property taxes, and financial leverage on housing prices. However, very few studies have focused on the role of separating the consumption and investment demands for housing, especially when the housing bubble prevails and the basic living demands of residents are not fully met. This paper proposes a theoretical model and an empirical method to separate the consumption and investment demands for housing. Using data on housing sales prices and housing rental prices in 70 cities in China, we apply the CES effect function to exhaustively estimate the size of consumption and investment demand, and use a Two-level Hierarchical Liner Model to measure the heterogeneous effects of consumption demands and investment demands on housing prices and economic growth. Our study provides an insightful snapshot of the gradual housing market reform that is unfolding and has yet to be studied in contemporary China.
    Schlagwörter Consumption demand ; Investment demand ; Real estate market regulation ; China ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Thema/Rubrik (Code) 720
    Sprache Englisch
    Erscheinungsdatum 2023-10-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Spatiotemporal Evolution and Spatial Network Analysis of the Urban Ecological Carrying Capacity in the Yellow River Basin

    Ke Liu / Shiwen Yang / Qian Zhou / Yurong Qiao

    International Journal of Environmental Research and Public Health, Vol 19, Iss 229, p

    2022  Band 229

    Abstract: Based on the panel data of 82 cities in the Yellow River Basin (YRB) during 2008–2017, this paper calculated the urban ecological carrying capacity (UECC) index by means of the entropy method, drew a spatiotemporal evolution map using ArcGIS10.3 software, ...

    Abstract Based on the panel data of 82 cities in the Yellow River Basin (YRB) during 2008–2017, this paper calculated the urban ecological carrying capacity (UECC) index by means of the entropy method, drew a spatiotemporal evolution map using ArcGIS10.3 software, used a spatial cold–hot spot model to explore the spatial characteristics of the UECC index, and used the revised gravity model to construct the spatial network of the UECC. In addition, through social network analysis, we obtained the spatial network correlation characteristics of the UECC of 82 cities in the YRB. The study found the following: (1) The UECC index of the cities in the YRB increased steadily, and showed strong non-stationarity in space. The cold and hot spot patterns both changed greatly. Overall, the changes of the hot and cold spots were very significant. (2) The spatial correlation and linkage effects of the UECC in the YRB were not significant. The central cities with higher point centrality and closeness centrality showed the same spatial distribution, and most of them are located in the midstream and downstream of the YRB. The central cities in the midstream and downstream of the YRB had high betweenness centrality, and stood in the center of the association network. (3) The four plates in the spatial correlation network of the UECC in the YRB all showed their advantages and functions. The first plate was the net spillover plate, which was principally allocated in the upstream and midstream of the YRB. The second plate was the broker plate, which was principally located in the midstream and downstream of the YRB, and a few cities in the upper reaches. The third plate was the net inflow plate, which was distributed sporadically in the upstream and downstream of the YRB. The fourth plate was the broker plate, which was scattered in upstream, midstream, and downstream of the YRB. Therefore, it is necessary to shorten the gap of and promote the improvement of the UECC in the YRB.
    Schlagwörter Yellow River Basin (YRB) ; ecological carrying capacity (ECC) ; spatiotemporal evolution ; spatial network ; Medicine ; R
    Thema/Rubrik (Code) 910
    Sprache Englisch
    Erscheinungsdatum 2022-12-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Analysis of China’s Industrial Green Development Efficiency and Driving Factors

    Ke Liu / Yurong Qiao / Qian Zhou

    International Journal of Environmental Research and Public Health, Vol 18, Iss 3960, p

    Research Based on MGWR

    2021  Band 3960

    Abstract: With increasingly severe constraints on resources and the environment, it is the mainstream trend of economic development to reduce industrial pollution emissions and promote green industrial development. In this paper, a super-efficiency slacks-based ... ...

    Abstract With increasingly severe constraints on resources and the environment, it is the mainstream trend of economic development to reduce industrial pollution emissions and promote green industrial development. In this paper, a super-efficiency slacks-based measure (SBM) model is adopted to measure the industrial green development efficiency (IGDE) of 289 cities in China from 2008 to 2018. Moreover, we analyze their spatiotemporal differentiation pattern. On this basis, the multiscale geographical weighted regression (MGWR) model is used to analyze the scale differences and spatial differences of the driving factors. The results show that the IGDE is still at a low level in China. From 2008 to 2018, the overall polarization of IGDE was relatively serious. The number of high- and low-efficiency cities increased, while that of medium-efficiency cities greatly decreased. Secondly, the IGDE presented an obvious spatial positive correlation. MGWR regression results show that the technological innovation, government regulation, and consumption level belonged to the global scale, and there was almost no spatial heterogeneity. Other driving factors were urbanization, industrial structure, economic development, and population density according to their spatial scale. Lastly, the influence of economic development and technological innovation had a certain circular structure in space; the influence of population size mainly occurred in the cities of the southeast coast and northeast provinces; the influence of urbanization was more obvious in the most northern provinces of the Yangtze River, while that of industrial structure was mainly concentrated in the most southern cities of the Yangtze River Economic Belt (YREB). Spatially, the influence of consumption was manifested as a distribution trend of decreasing from north to south, and the government regulation was manifested as increasing from west to east and then to northeast.
    Schlagwörter industrial green development ; efficiency evaluation ; spatial heterogeneity ; multiscale geographical weighted regression (MGWR) ; China ; Medicine ; R
    Thema/Rubrik (Code) 910
    Sprache Englisch
    Erscheinungsdatum 2021-04-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model

    Yu Chen / Mengke Zhu / Qian Zhou / Yurong Qiao

    International Journal of Environmental Research and Public Health, Vol 18, Iss 1056, p

    2021  Band 1056

    Abstract: Urban resilience in the context of COVID-19 epidemic refers to the ability of an urban system to resist, absorb, adapt and recover from danger in time to hedge its impact when confronted with external shocks such as epidemic, which is also a capability ... ...

    Abstract Urban resilience in the context of COVID-19 epidemic refers to the ability of an urban system to resist, absorb, adapt and recover from danger in time to hedge its impact when confronted with external shocks such as epidemic, which is also a capability that must be strengthened for urban development in the context of normal epidemic. Based on the multi-dimensional perspective, entropy method and exploratory spatial data analysis (ESDA) are used to analyze the spatiotemporal evolution characteristics of urban resilience of 281 cities of China from 2011 to 2018, and MGWR model is used to discuss the driving factors affecting the development of urban resilience. It is found that: (1) The urban resilience and sub-resilience show a continuous decline in time, with no obvious sign of convergence, while the spatial agglomeration effect shows an increasing trend year by year. (2) The spatial heterogeneity of urban resilience is significant, with obvious distribution characteristics of “high in east and low in west”. Urban resilience in the east, the central and the west are quite different in terms of development structure and spatial correlation. The eastern region is dominated by the “three-core driving mode”, and the urban resilience shows a significant positive spatial correlation; the central area is a “rectangular structure”, which is also spatially positively correlated; The western region is a “pyramid structure” with significant negative spatial correlation. (3) The spatial heterogeneity of the driving factors is significant, and they have different impact scales on the urban resilience development. The market capacity is the largest impact intensity, while the infrastructure investment is the least impact intensity. On this basis, this paper explores the ways to improve urban resilience in China from different aspects, such as market, technology, finance and government.
    Schlagwörter urban resilience ; spatiotemporal differentiation ; MGWR ; spatial scale ; factors of urban resilience ; Medicine ; R
    Thema/Rubrik (Code) 710
    Sprache Englisch
    Erscheinungsdatum 2021-01-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Spatiotemporal Heterogeneity and Driving Force Analysis of Innovation Output in the Yangtze River Economic Zone

    Ke Liu / Yurong Qiao / Qian Zhou

    Complexity, Vol

    The Perspective of Innovation Ecosystem

    2021  Band 2021

    Abstract: The Yangtze River Economic Zone (YREZ) is a major corridor of national science and innovation culture, an innovation-driven region that fosters new drivers of growth and leads transformation and development, and plays an important strategic support and ... ...

    Abstract The Yangtze River Economic Zone (YREZ) is a major corridor of national science and innovation culture, an innovation-driven region that fosters new drivers of growth and leads transformation and development, and plays an important strategic support and exemplary leading role in the overall pattern of regional development. This paper analyzes the spatiotemporal differentiation characteristics of innovation output of 110 cities of YREZ from 2008 to 2018 by using Gini coefficient, coefficient of variation (CV), geographical weighted regression, and other methods. The factors affecting innovation output are selected from the perspective of innovation ecosystem. The results show the following. (1) Innovation output showed an increasing trend, and the high-value concentration cities in downstream areas gradually became prominent, the geographical concentration degree fluctuated and declined, and the distribution of innovation output gradually became balanced. (2) The global Moran’s I index of innovation output shows a fluctuation pattern of “M” shape and an overall upward trend. The analysis of local spatial correlation indicates that spatial distribution pattern of innovation output has not changed significantly. (3) There is obvious regional heterogeneity under different impacts of factors of innovation ecosystem on innovation output. Enterprises have the greatest impact, followed by financial resources and infrastructure environment.
    Schlagwörter Electronic computers. Computer science ; QA75.5-76.95
    Thema/Rubrik (Code) 339
    Sprache Englisch
    Erscheinungsdatum 2021-01-01T00:00:00Z
    Verlag Hindawi-Wiley
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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