The Spatio-Temporal Heterogeneity of Financial Agglomeration on Green Development in China Cities Using GTWR Model

Feng, Yidai; Lee, Jay; Liu, Haimeng

doi:10.3390/su12166660

Cited by 22 publications

(11 citation statements)

References 76 publications

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“…According to Gelain et al [ 20 ], the excessive rise of house prices deviating from the macroeconomic model will affect the response of companies and investors to price signals, resulting in an irrational allocation of capital and adversely affecting the economy. According to Yuan et al [ 21 ], the effect of housing price fluctuations on economic growth exhibits significant heterogeneity of investment scale.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of housing prices and land financing on economic growth: Evidence from Chinese 277 cities at the prefecture level and above

Sun,

Javeed,

Tang

et al. 2024

PLoS ONE

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With the rapid progress of urbanization in China, the real estate industry, characterized by a long industrial chain, has become a pillar industry for economic development. Therefore, we inspect the nexus between land finance, housing prices, and economic growth. For this purpose, we use the panel data of 277 cities at the prefecture level or above in China from 2011 to 2019, and empirically examine it by using the Panel Vector Auto Regression (PVAR) model. The results show that there is a causal relationship between housing prices and economic growth. Housing prices promote economic growth in the short term and inhibit it in the long term. Both economic growth and housing prices have a significant impact on land finance. The economic growth show a significantly positive impact, while housing prices promote land finance in the short term with a long-term trend from positive to negative. This is the first study that tries to probe the relationship between urban housing prices, land finance, and economic growth by considering 277 prefecture-level and above cities in China. To promote the stable development of the regional economy, local governments need to overcome their dependence on the housing market and land finance and promote the healthy development of the housing market.

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Section: Literature Reviewmentioning

confidence: 99%

The impact of housing prices and land financing on economic growth: Evidence from Chinese 277 cities at the prefecture level and above

Sun,

Javeed,

Tang

et al. 2024

PLoS ONE

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“…The core independent variable of this paper was the ICPP, that is, the treatment effect parameter in SDID model. When selecting other independent variables, this paper referred to research on the influencing factors of green economy or green sustainable development by Feng and Chen [21], Yuan et al [31], Liu et al [24], and Yuan et al [1], and controls other variables that may affect GSDP, mainly foreign direct investment (FDI), human capital level (HCL), labor structure (LAS), information infrastructure (INI), R&D intensity (RDI), and urbanization level (URL). Among them, we used the proportion of urban foreign direct investment on the mainland, Hong Kong, Macao, and Taiwan and the gross domestic product to measure FDI.…”

Section: Independent Variablementioning

confidence: 99%

“…Improving human well-being, protecting the environment, and promoting sustainable development through green development are key 2030 Global Sustainable Development goals [1]. However, China's economic growth has brought with it serious problems such as high energy consumption, high emissions, and high pollution, and the ecological environment has been severely damaged [2,3].…”

Section: Introductionmentioning

confidence: 99%

The Role of Government Innovation Support in the Process of Urban Green Sustainable Development: A Spatial Difference-in-Difference Analysis Based on China’s Innovative City Pilot Policy

Zhu

Chen

Zhang

et al. 2022

IJERPH

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The role of government support in sustainable urban development has always been a research topic of scholars, but research focusing on the relationship between government innovation support and urban green sustainable development is still relatively rare. This article uses China’s innovative city pilot policy (ICPP) to represent the innovation support provided by the government and address the interaction mechanism and the spatial spillover effect of China’s innovative city pilot policy (ICPP), green technology innovation (GTI), and green sustainable development performance (GSDP) with the support of the mediating effect model and the spatial econometric model. Based on panel data of 24 cities in the Yangtze River Delta urban agglomeration from 2001 to 2020, this paper establishes an evaluation index system of green sustainable development performance (GSDP), measuring with the SBM directional distance function based on the undesired output. This paper adopts the spatial difference-in-difference model (SDID) to study the impact mechanism of the ICPP on the GSDP in the Yangtze River Delta. The results show that (i) there is a positive spatial spillover effect of GSDP in the urban agglomeration of the Yangtze River Delta urban agglomeration; (ii) ICPP has a significantly positive effect on GSDP, as verified by several robustness checks; (iii) green technology innovation plays a partial mediating effect in the relationship of the ICPP and GSDP.

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“…Although the geographically weighted regression (GWR) model considers spatial non-stationarity, GWR ignores temporal non-stationarity. In contrast, GTWR considers both spatial and temporal non-stationarity (Yuan et al, 2020). Therefore, we use this model to explore the temporal and spatial heterogeneity of the influence mechanism of different factors on the CO 2 emissions from China's construction industry.…”

Section: Gtwr Modelmentioning

confidence: 99%

Analysis of the spatial and temporal heterogeneity of factors influencing CO2 emissions in China’s construction industry based on the geographically and temporally weighted regression model: Evidence from 30 provinces in China

Gao

2022

Front. Environ. Sci.

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With the rapid economic development in recent years, China has increased its investment in infrastructure construction, and the construction industry has become a significant contributor to China’s carbon dioxide (CO2) emissions. Therefore, carbon emission reduction in the construction industry is crucial to achieving the goal of “carbon peaking and carbon neutrality” as soon as possible. However, few studies have investigated the factors influencing CO2 emissions from the construction industry in terms of spatial and temporal differences. To address this gap, we first improve the calculation method for the construction industry’s life-cycle assessment (LCA). The geographically and temporally weighted regression (GTWR) model is then utilized to provide insight into the spatio-temporal heterogeneity of the various factors influencing CO2 emissions across other regions and times. The results show that: 1) CO2 emissions from the construction industry in China increased rapidly from 576.5 million tons (Mt) in 2004–3,230 Mt in 2012 and then gradually decreased to 1998.51 Mt in 2020; indirect CO2 emissions accounted for more than 90% of the total CO2 emissions after 2008. 2) There is a solid global positive correlation between CO2 emissions from the construction industry in China during most of the time, and the spatial distribution of CO2 emissions shows a northeast-southwest pattern, with the center of gravity gradually shifting from central China to the southwest. 3) Economic output and industrial agglomeration are positive factors for the increase of CO2 emissions from the construction industry; and urbanization level, production efficiency, and energy efficiency are inhibiting factors for the increase of CO2 emissions from the construction industry. But the contribution and trend of each influencing factor differed significantly across time and regions, showing substantial spatial and temporal heterogeneity. Our findings provide a scientific basis for the Chinese government to implement a regional carbon reduction strategy for the construction industry.

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The Spatio-Temporal Heterogeneity of Financial Agglomeration on Green Development in China Cities Using GTWR Model

Cited by 22 publications

References 76 publications

The impact of housing prices and land financing on economic growth: Evidence from Chinese 277 cities at the prefecture level and above

The impact of housing prices and land financing on economic growth: Evidence from Chinese 277 cities at the prefecture level and above

The Role of Government Innovation Support in the Process of Urban Green Sustainable Development: A Spatial Difference-in-Difference Analysis Based on China’s Innovative City Pilot Policy

Analysis of the spatial and temporal heterogeneity of factors influencing CO2 emissions in China’s construction industry based on the geographically and temporally weighted regression model: Evidence from 30 provinces in China

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