Abstract

Environmental pollution is a problem of universal concern throughout the globe. The development of real estate industry not only consumes huge resources, but also has close ties with high-consumption industries such as the construction industry. However, previous studies have rarely explored the impact of real estate development on environmental pollution. Therefore, this paper employs the entropy method to construct a comprehensive index of environmental pollution based on panel data of 31 provinces in China from 2000 to 2017, and empirically examines the impact of real estate development on environmental pollution. This article uses real estate investment to measure the development of the real estate industry. In view of the high spatial autocorrelation of environmental pollution, this paper selects a spatial econometric model. The empirical study found that: (1) By using the Spatial Durbin Model, real estate development has an inverted U-shaped impact on environmental pollution. Meanwhile, most cities have not yet reached the turning point; that is, with the continuous development of the real estate industry, environmental pollution will continue to increase. (2) Further regional heterogeneity found that the inverted U-shaped relationship still exists in coastal and inland areas. (3) Finally, this article used the Spatial Mediation Model to explain the nonlinear impact of real estate development on environmental pollution, with two important mediating variables: population density and industrial structure. Through the above analysis, it can be observed that real estate development has a significant impact on environmental pollution. Thus, the country and the government can reduce environmental pollution by improving the investment structure, using environmentally friendly building materials, guiding population flow and promoting industrial upgrading.

Highlights

  • Since the 1990s, environmental problems have been the main agenda of international platforms

  • (3) this article used the Spatial Mediation Model to explain the nonlinear impact of real estate development on environmental pollution, with two important mediating variables: population density and industrial structure

  • China promotes the construction of green real estate in order to achieve environmental protection, energy saving, and emission reduction goals required by green real estate [14]

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Summary

Introduction

Since the 1990s, environmental problems have been the main agenda of international platforms. China promotes the construction of green real estate in order to achieve environmental protection, energy saving, and emission reduction goals required by green real estate [14]. This paper attempts to investigate the impact of real estate development on environmental pollution and its mechanisms by using the panel data of 31 provinces in China from 2000 to 2017. Res. Public Health 2022, 19, x FOR PEER REVIEW in order to study the transmission mechanism of the impact of real estate development on environmental pollution, we use the mediation effect to construct a spatial mediation on environmental pollution, we use the mediation effect to construct a spatial mediation model. Development theoretical and empirical analyses, it can be observed that the nonlinear impact ofdensity real on environmental pollution is realized through two mediating variables: population estate development on environmental pollution through mediating variaand industrial structure.

Literature
The Relationship between Real Estate and Construction
Relationship between Real Estate Development and Environmental Pollution
Comprehensive Index of Environmental Pollution
Moran’s I Analysis
LISA Cluster Map
LISA cluster map of pollution in China for for thethe years:
Benchmark Regression Model
Regression Results of SDM
Heterogeneity Analysis
Theoretical Analysis
Industrial Linkage Effect
Population Density Effect
Model Construction
Results and Discussion
Industrial Structure
Population Density
Conclusions
Policy Implications
Research Limitations and Future Prospects

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