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Dr. YIINGJIE ZHANG
Beijing Forestry University

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Research Keywords & Expertise

0 Affordable Housing
0 Environmental Policy
0 Urban Sustainability
0 Housing environment
0 Urban green space

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Journal article
Published: 07 June 2021 in Journal of Cleaner Production
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Studies using Hedonic housing price model to discuss residents' demand for urban green space (UGS) demonstrate the importance that residents place on UGS. While much of the empirical findings have focused on residents' willingness to pay, more attention needs to be paid on its temporal change and spatial heterogeneity. Taking advantage of the diverse composition of urban parks, housing, and residents in Beijing, this paper explores the dynamic and heterogeneous demand for UGS. Using more than 240 thousand micro housing resale transaction data from 2011 to 2019, this paper constructs a Hedonic model to empirically estimate and confirm the basic, dynamic and heterogenous willingness to pay of residents for urban parks. Our empirical findings confirm the rising and heterogeneous demand for UGS by Chinese urban residents. First, the willingness to pay for parks of urban residents has continued to grow during our study period. Second, in view of different socioeconomic characteristics, there exists heterogeneous demand related to the housing of residents and different types of parks. Residents who live in homes with a larger size have a stronger demand for urban parks. Meanwhile, urban residents prefer parks with free entry over fee-based parks, and they have strong preference for some specific types of parks. Moreover, we conduct a survey and collect 907 valid samples to directly obtain residents' willingness to pay for urban parks, and the survey results further confirm the abovementioned findings. This study deepens the understanding of urban residents’ demand for UGS, and will contribute to more scientific decision making on the planning, financing and management of UGS.

ACS Style

Yingjie Zhang; Tianzheng Zhang; Yingxiang Zeng; Chang Yu; Siqi Zheng. The rising and heterogeneous demand for urban green space by Chinese urban residents: Evidence from Beijing. Journal of Cleaner Production 2021, 313, 127781 .

AMA Style

Yingjie Zhang, Tianzheng Zhang, Yingxiang Zeng, Chang Yu, Siqi Zheng. The rising and heterogeneous demand for urban green space by Chinese urban residents: Evidence from Beijing. Journal of Cleaner Production. 2021; 313 ():127781.

Chicago/Turabian Style

Yingjie Zhang; Tianzheng Zhang; Yingxiang Zeng; Chang Yu; Siqi Zheng. 2021. "The rising and heterogeneous demand for urban green space by Chinese urban residents: Evidence from Beijing." Journal of Cleaner Production 313, no. : 127781.

Journal article
Published: 20 January 2021 in Forest Policy and Economics
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Urban green space improves people's living environment in cities. The Chinese government has been designating National Forest Cities (NFC) for almost two decades. By taking advantage of a large panel dataset of 265 cities from 2013 to 2017 and appropriate econometric methods, we evaluate the impacts of the NFC designation. It is found that after controlling the confounding effects of other factors, the designation increases total green space by 7.5%, per-capita green areas by 10.9%, and green coverage rate by 1.0%, and it reduces PM2.5 by 3%, compared to the matched cities that have not been designated. Also, the designation's effects are heterogeneous. The designation improves the urban green space in cities with a high level of economic activity or population density, but it enhances air quality only in cities with a low level of economic activity or population density; likewise, it has a more pronounced effect on urban green space in cities where its base level is low, and in the southeastern region. These empirical results are of broad academic and policy relevance.

ACS Style

Yingjie Zhang; Tianzheng Zhang; Yingxiang Zeng; Baodong Cheng; Hongxun Li. Designating National Forest Cities in China: Does the policy improve the urban living environment? Forest Policy and Economics 2021, 125, 102400 .

AMA Style

Yingjie Zhang, Tianzheng Zhang, Yingxiang Zeng, Baodong Cheng, Hongxun Li. Designating National Forest Cities in China: Does the policy improve the urban living environment? Forest Policy and Economics. 2021; 125 ():102400.

Chicago/Turabian Style

Yingjie Zhang; Tianzheng Zhang; Yingxiang Zeng; Baodong Cheng; Hongxun Li. 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?" Forest Policy and Economics 125, no. : 102400.

Journal article
Published: 11 November 2020 in Sustainability
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With the increasing number of people starting to attach importance to urban green space (UGS), estimating urban residents’ demand for UGS has become critical. Previous studies have estimated residents’ demands for UGS in different cities using the Rosen–Roback model. However, there has been little analysis of the renters’ requirements for UGS or the dynamic and heterogeneous demands for UGS by residents in cities with varying characteristics. In this study, the prefecture-level cities in China were selected as the object of study for their wide representation of various city characteristics, and the Rosen–Roback model was used to address the abovementioned issues. Residents’ demand for UGS in 285 prefecture-level cities was assessed from 2010 to 2017. The results confirm our hypothesis that when UGS increases by 1%, house prices will increase by about 3% and rents will increase by about 7%, and the demand continues to grow. We also analyzed the heterogeneous demands for UGS by urban residents in different types of cities from three aspects: population density, economic level, and the effects of the National Forest City policy. Finally, we provided suggestions based on empirical results for planning and managing UGS.

ACS Style

Tianzheng Zhang; Yingxiang Zeng; Yingjie Zhang; Yan Song; Hongxun Li. Dynamic and Heterogeneous Demand for Urban Green Space by Urban Residents: Evidence from the Cities in China. Sustainability 2020, 12, 9384 .

AMA Style

Tianzheng Zhang, Yingxiang Zeng, Yingjie Zhang, Yan Song, Hongxun Li. Dynamic and Heterogeneous Demand for Urban Green Space by Urban Residents: Evidence from the Cities in China. Sustainability. 2020; 12 (22):9384.

Chicago/Turabian Style

Tianzheng Zhang; Yingxiang Zeng; Yingjie Zhang; Yan Song; Hongxun Li. 2020. "Dynamic and Heterogeneous Demand for Urban Green Space by Urban Residents: Evidence from the Cities in China." Sustainability 12, no. 22: 9384.

Journal article
Published: 30 October 2020 in Sustainability
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Many studies have confirmed that there is demand among urban residents and renters for urban parks. Moreover, as renters and home buyers have very different levels of ownership over their housing resources, their demands for amenities can be heterogenous. To discover and identify such heterogeneous demands is worthy of attention. Using the micro-housing resale transactions and listing data for housing leases in Beijing during 2019, this paper explores the difference between the demand for urban parks among home buyers and renters outside the community from the perspective of the internal quality of the community by using the hedonic price model (HPM). Specifically, from the dimension of the property management service fee and greening rate, we find that for home buyers, compared to residents living in relatively poor-quality communities, a better-quality community will reduce the demand for urban parks outside the community. Conversely, for renters, the higher the quality of the community is, the higher the demand for urban parks outside the community will be.

ACS Style

Tianzheng Zhang; Yingxiang Zeng; Yingjie Zhang; Yan Song; Hongxun Li. The Heterogenous Demand for Urban Parks between Home Buyers and Renters: Evidence from Beijing. Sustainability 2020, 12, 9058 .

AMA Style

Tianzheng Zhang, Yingxiang Zeng, Yingjie Zhang, Yan Song, Hongxun Li. The Heterogenous Demand for Urban Parks between Home Buyers and Renters: Evidence from Beijing. Sustainability. 2020; 12 (21):9058.

Chicago/Turabian Style

Tianzheng Zhang; Yingxiang Zeng; Yingjie Zhang; Yan Song; Hongxun Li. 2020. "The Heterogenous Demand for Urban Parks between Home Buyers and Renters: Evidence from Beijing." Sustainability 12, no. 21: 9058.

Journal article
Published: 21 April 2020 in Journal of Cleaner Production
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The Beijing-Tianjin-Hebei (BTH) urban agglomeration is the most polluted area of smog in China. The latest studies have been focusing on the influencing factors on the BTH’s PM2.5 concentration in terms of industrial, social, and climatic conditions. However, the role of the urban forest system has not been thoroughly studied in air pollution control. This study focuses on the impact of forest city construction on BTH’s PM2.5 concentration. According to the theoretical framework of the STIRPAT model, we used the spatial Durbin model of bidirectional fixed effect to empirically test the correlation between the BTH’s PM2.5 concentration and the characteristic variables of forest cities. The research results show that improving urban green space, park green space, and investment of urban sanitation and environment facilities can reduce the PM2.5 concentration in the local and adjacent areas. This study proposes that the construction of forest cities should be further strengthened to alleviate urban air pollution in the BTH’s coordinated development and thus improve regional air quality.

ACS Style

Chang Xu; Liang Dong; Chang Yu; Yingjie Zhang; Baodong Cheng. Can forest city construction affect urban air quality? The evidence from the Beijing-Tianjin-Hebei urban agglomeration of China. Journal of Cleaner Production 2020, 264, 121607 .

AMA Style

Chang Xu, Liang Dong, Chang Yu, Yingjie Zhang, Baodong Cheng. Can forest city construction affect urban air quality? The evidence from the Beijing-Tianjin-Hebei urban agglomeration of China. Journal of Cleaner Production. 2020; 264 ():121607.

Chicago/Turabian Style

Chang Xu; Liang Dong; Chang Yu; Yingjie Zhang; Baodong Cheng. 2020. "Can forest city construction affect urban air quality? The evidence from the Beijing-Tianjin-Hebei urban agglomeration of China." Journal of Cleaner Production 264, no. : 121607.

Journal article
Published: 17 December 2019 in Sustainability
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Differences in housing prices and rental prices across cities or regions and the relationship between prices and socioeconomic fundamentals are frequent research foci in urban and real estate economics, but the existing studies on China's housing market rarely consider both housing price and rent. This study provides a framework for a quantitative analysis of a country's housing market from the perspective of supply and demand, and takes China's housing market as a case study. The current study first explores the key factors that affect housing prices and rental prices using data from 202 cities and collected from 2011 to 2014. Then, theoretical values of housing prices and rental prices in each city are estimated, and the spatiotemporal characteristics of deviation of housing prices and rental prices are analysed. The empirical findings of the current study mainly reveal the following three points. First, the determinants of housing prices and rental prices have similarities. Second, the effect of above factors shows obvious spatial heterogeneity. The coefficients of the variables are different between coastal and inland regions, indicating different demand and supply elasticities across regions. Third, the price deviation presents significant spatial agglomeration. Cities with higher price deviations are clustered in the Yangtze River Delta and Beijing-Tianjin-Hebei, while the price deviations are relatively mild in the Pearl River Delta region.

ACS Style

Xiaoping Zhou; Zhenyang Qin; Yingjie Zhang; Linyi Zhao; Yan Song. Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market. Sustainability 2019, 11, 7232 .

AMA Style

Xiaoping Zhou, Zhenyang Qin, Yingjie Zhang, Linyi Zhao, Yan Song. Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market. Sustainability. 2019; 11 (24):7232.

Chicago/Turabian Style

Xiaoping Zhou; Zhenyang Qin; Yingjie Zhang; Linyi Zhao; Yan Song. 2019. "Quantitative Estimation and Spatiotemporal Characteristic Analysis of Price Deviation in China's Housing Market." Sustainability 11, no. 24: 7232.

Conference paper
Published: 19 December 2017 in Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate
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The construction industry is an important pillar industry of the national economy in the past, and as a labor-intensive industry, the labor force is the essential element to ensure the sustainable development of this industry. With the emergence of “shortage of migrant workers”, labor shortage of the construction industry is more severe recently. Based on the industry data this paper collected, this paper using multi-scenario analysis under different hypothesis to predict the trend of both labor supply and demand for China’s construction industry from 2016 to 2025. This paper finds that the overall labor shortages of China’s construction industry will appear during the period from the end of 2016 to 2018 in different scenarios. The findings implies that there will lead to urgent needs for construction industrialization. Moreover, the shortage in labor supply relative to demand will further improve the labor cost, which is, from another perspective, a good news for construction industrialization, because the relative cost of construction industrialization would be lower.

ACS Style

H. Ye; Y. Zhang. Trend Analysis of the Labor Supply and Demand in China’s Construction Industry: 2016–2025. Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate 2017, 1499 -1507.

AMA Style

H. Ye, Y. Zhang. Trend Analysis of the Labor Supply and Demand in China’s Construction Industry: 2016–2025. Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. 2017; ():1499-1507.

Chicago/Turabian Style

H. Ye; Y. Zhang. 2017. "Trend Analysis of the Labor Supply and Demand in China’s Construction Industry: 2016–2025." Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate , no. : 1499-1507.