Housing price and criminal crime in China: direct and indirect influence

Song, Zhenzhen; Chen, Hao

doi:10.1080/00036846.2022.2033678

Cited by 4 publications

(3 citation statements)

References 58 publications

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“…According to the research methods used in the studies by Hou et al . (2022) and Song and Hao (2022), the average selling price of urban commercial housing is considered a reliable measure of the housing price level in cities. As a result, the housing price level is utilized as the explanatory variable in this current paper to study its impact on green innovation.…”

Section: Data and Model Buildingmentioning

confidence: 99%

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Housing prices and green innovation: evidence from Chinese enterprises

Fang

2023

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PurposePromoting enterprises' green innovation is vital to realize the sustainable growth of cities and environmental protection and the rise of urban housing prices might affect the green innovation of enterprises to a certain extent. This study aims to discuss the aforementioned objective.Design/methodology/approachBased on the data of listed companies and urban housing prices of main cities in China from 2011 to 2019, this paper examines the impact of housing prices on enterprises' green innovation and analyzes the mechanism of rising housing prices on enterprises' green innovation.FindingsThe rise of urban housing prices can significantly promote the quality of green innovation of enterprises, but it has no significant impact on the quantity of green innovation. The heterogeneity test results show that the rising house prices have a more significant role in promoting the green innovation of non-state-owned enterprises, enterprises listed on the main board, enterprises in the central and western regions, and enterprises in non-first-tier cities. The mechanism research finds that the rise of urban housing prices has a financing relief effect and cost-pushing effect on the green innovation of enterprises.Originality/valueFirstly, it thoroughly examines the influence of housing prices on corporate green innovation. Second, it explores the differential impact of housing prices on enterprises' green innovation based on variations among enterprises and regions, offering valuable insights for the government to formulate proper policy. Lastly, it elucidates the influencing mechanism of housing prices on enterprise green innovation from the perspectives of corporate financing and costs, providing empirical support for enterprises to appropriately perceive the opportunities and challenges posed by rising housing prices and actively promote green innovation.

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Section: Data and Model Buildingmentioning

confidence: 99%

“…Dependent variable: Urban housing price (Lnprice). Referring to the practice of Hou et al (2022) and Song and Hao (2022), this paper measures the city's housing price level with the average selling price of urban commercial housing and processes the housing price data logarithmically.…”

Section: Variablesmentioning

confidence: 99%

Housing prices and green innovation: evidence from Chinese enterprises

Fang

2023

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“…First, rising housing prices are spatially contagious, affecting neighboring provinces or cities [18]. Then, a study suggested that the rising housing prices are a generative impetus for the frequent occurrence of criminal offenses [19]. Rising housing prices can also lead to a labor "crowding-out" effect, inhibiting urban diversification and weakening the effect of industrial structure upgrading [20].…”

Section: Introductionmentioning

confidence: 99%

Local Government’s Land Finance Dependence and Migrants’ Settlement Intentions: Evidence from China

Zhang

2023

Land

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In the context of China’s new urbanization construction, it is crucial to deal with the issue of migrants. While land finance, as an essential means of local government financing in China over the past three decades, has made important contributions to China’s economic growth, the impact of land finance on the settlement intentions of migrants still needs to be studied. This study considered cross-sectional data containing 78,642 samples based on the 2017 China Migrants Dynamic Survey 2017 (CMDS) and China Land and Resources Statistical Yearbook. In addition, a binary choice model was constructed, and the impact of the degree of land finance on the settlement intentions of migrants for the prefecture-level cities in China was empirically analyzed. With the help of the mediating- and moderating-effect models, the impact of the degree of land finance on the settlement intentions of migrants was examined from the perspectives of housing pressure, social security, and housing property rights. The results show the following: (1) The higher the degree of land finance, the lower the settlement intentions of migrants. (2) Land finance’s effect on settlement intentions is stronger for urban domiciles, low-skilled laborers, in large cities, and eastern and southern cities in these samples. (3) The higher the degree of land finance, the greater the housing pressure on the migrants, further reducing the settlement intentions of these individuals. However, social security and homeownership can reduce the negative effect of land finance on the settlement intentions of migrants. This paper provides policy implications for the construction of new urbanization and the realization of modernization.

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Network linkages between housing prices and crime risk: evidence from 26 regions in Türkiye

Yıldız,

Shahzad

2024

Crime Law Soc Change

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Housing price and criminal crime in China: direct and indirect influence

Cited by 4 publications

References 58 publications

Housing prices and green innovation: evidence from Chinese enterprises

Housing prices and green innovation: evidence from Chinese enterprises

Local Government’s Land Finance Dependence and Migrants’ Settlement Intentions: Evidence from China

Network linkages between housing prices and crime risk: evidence from 26 regions in Türkiye

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