Measuring the efficiency and driving factors of urban land use based on the DEA method and the PLS-SEM model—A case study of 35 large and medium-sized cities in China

Zhu, Xinhua; Zhang, Peifeng; Wei, Yigang; Li, Yan; Zhao, Heng

doi:10.1016/j.scs.2019.101646

Cited by 167 publications

(89 citation statements)

References 80 publications

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“…China is now an ideal place for testing whether there is a nationwide housing bubble or property cycle. Some previous studies argue that high homeownership rates, increasing vacancy rates, rapidly growing housing mortgage loans, escalating land prices and fast rising housing prices are signals of housing bubbles (Yu, 2011;Wu, Gyourko, & Deng, 2012;Lin & Tsai, 2016;Zhu, Zhang, Wei, Li, & Zhao, 2019). Others claim that robust wage growth, high saving rate, rapidly increasing urbanization, low leverage of home financing and rising middle income households with limited investment vehicles underpin China's property boom (Wei, Lam, Chiang, & Leung, 2010;Ahuja, Cheung, Han, Porter, & Zhang, 2010;Deng, Morck, Wu, & Yeung, 2011;Li & Chiang, 2012;Ren et al, 2012;Feng & Wu, 2015;Lang, Chen, & Li, 2016), and can be buffers to deterioration of the property market.…”

Section: Discussionmentioning

confidence: 99%

Bubbles or Cycles? Housing Price Dynamics in China’s Major Cities

Wei

Chiang

2019

International Journal of Strategic Property Management

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Based on the monthly data of 35 cities during the period 2006−2017, this study adopts a recursive forward looking method to detect the presence of housing bubbles and investigate their potential cyclical patterns in China’s large and medium sized cities. Empirical results show that the number of cities reporting housing bubbles has been increasing since 2013, before it declined in 2017. Regarding regional disparities of housing bubbles, 1st-tier and 1.5-tier cities have higher probability than 2nd-tier cities for housing bubbles. In general, eastern region cities have more housing bubbles than central and western region cities, which may indicate the problem of shrinking cities China is facing nowadays. Bubble signals for market correction in major cities and municipalities seemed alarming in particular for the period 2013−2016, however it is difficult to conclude if the market adjustment in 2017 indicates a cyclical pattern.

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Section: Discussionmentioning

confidence: 99%

Bubbles or Cycles? Housing Price Dynamics in China’s Major Cities

Wei

Chiang

2019

International Journal of Strategic Property Management

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“…Economic and environmental benefits were accounted for during the selection of urban land use efficiency indicators [27]. Referring to previous studies on indicator selection and considering the availability of data [21,23], we selected total assets, total profits, and number of employees as economic benefits; environmental benefits included green space coverage, number of days with good air quality, energy consumption, and net demand of water. After obtaining the abovementioned indicators of UIL parcels, entropy-weight TOPSIS was utilized to evaluate use efficiency of each UIL parcel.…”

Section: Uil Use Efficiency Evaluationmentioning

confidence: 99%

“…Researchers have substantially studied urban land use efficiency in China [21], with a focus on urban agglomerations [22] or on specific cities [23] as well as land use types such as construction land [24] or industrial land [25]. Efficiency is a crucial criterion for measuring urban land use level, and urban land use efficiency can be understood as the well-being produced on per unit urban land [23]. Researchers have developed specific indicators to measure land use efficiency in China [26], which covers economic (e.g., the total assets investment) and environmental aspects (e.g., air quality and green rate) [23,27].…”

Section: Introductionmentioning

confidence: 99%

“…Efficiency is a crucial criterion for measuring urban land use level, and urban land use efficiency can be understood as the well-being produced on per unit urban land [23]. Researchers have developed specific indicators to measure land use efficiency in China [26], which covers economic (e.g., the total assets investment) and environmental aspects (e.g., air quality and green rate) [23,27]. Based on this, in our study, UIL use efficiency was used to measure the degree of UIL utilization by accounting for economic and environmental factors: the higher the UIL use efficiency, the better the UIL value realization.…”

Section: Introductionmentioning

confidence: 99%

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The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data

2019

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Urban industrial land (UIL), which is classified for industrial purposes, is an indispensable component of urban land. Obtaining up-to-date and timely UIL details from the industrial development perspective has practical significance for UIL planning. Therefore, we propose a practical method for integrating UIL identification and use efficiency evaluation at the parcel scale based on multi-source data. The Open Street Map (OSM) data were utilized to generate parcels, which served as basic analytical units. Point of Interest (POI) data combined with a Continuous Bag-of-Words (CBoW)-based Word2Vec model was utilized to acquire UIL information. The entropy-weight Technique for Order Preference by Similarity to Ideal Solution method, combined with economic and environmental UIL indicators obtained from remote sensing images, ground observation data, and statistical data, was used to evaluate UIL use efficiency, and the spatial distribution and utilization degree of UIL within Beijing’s fifth ring road was analyzed. The region within Beijing’s fifth ring road was classified into commercial land, industrial land, and other types, with an overall accuracy of 92.24%. With this method, we found that the distribution of UIL presented a ring structure developing outwards along the ring roads and contained concentrated commercial areas. UIL utilization exhibited a south–north differentiation, and industrial land had lower use efficiency. Our work fully utilized the available fine-scale multi-source data.

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“…For example, in 2018, the population of Wuhan was 11.081 million, and the urbanization rate reached 80.29% (Wuhan Bureau of Statistics, ). In the process of rapid urbanization, cities have attracted large populations that are migrating from the rural to urban areas, bringing various social and economic activities (Zhu, Zhang, Wei, Li, & Zhao, ). However, the excessive concentration of population and the human activities have brought urban diseases, which exert severe negative effects on sustainable urban development and include traffic congestion, housing shortages, urban heat islands, air pollution, and depletion of natural and energy resources (Fan, Peng, & Xu, ; Liang, Peng, & Shen, ; Tan, Shuai, Jiao, & Shen, ; Wei, Gu, Wang, Yao, & Wu, ; Wei, Huang, Lam, Sha, & Feng, ; Wei, Huang, Lam, & Yuan, ).…”

Section: Introductionmentioning

confidence: 99%

Sustainable development and green gross domestic product assessments in megacities based on the emergy analysis method—A case study of Wuhan

Wei

Liu

et al. 2019

Sustainable Development

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Globally, cities are generally facing challenges of sustainable development, and this is particularly true in megacities. To reveal the relationship between economy and ecology, green gross domestic product (GDP) represents the ideology and requirements of sustainable development. In this study, emergy analysis theory is introduced to the green GDP accounting system and to a sustainable development evaluation framework using Wuhan City from 1994 to 2015 as a case study. The results show that (a) the green GDP increases as traditional GDP grows year by year, indicating the improvement of the sustainability development of Wuhan. (b) In terms of green GDP contributing factors, the proportion of nonrenewable energy in traditional GDP decreased from 11.91% to 5.31%, reflecting remarkable progresses in the promotion of saving energy. (c) In terms of the sustainability dynamic assessment, result greater than one for the Emergy Sustainability Index implies the economic system of Wuhan following a trajectory of sustainable development, but the downward trend of the Environment Index of Sustainable Development in recent years indicates thatWuhan needs to improve its socioeconomic performance. Based on the emergy analysis, this study provides a theoretical framework for investigating and assessing the temporal characteristics of green GDP accounting, urban sustainability assessment, and inhibiting factors in the progress of sustainability. Empirical findings provide theoretical support and policy recommendations for the promotion of urban sustainable development.

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Measuring the efficiency and driving factors of urban land use based on the DEA method and the PLS-SEM model—A case study of 35 large and medium-sized cities in China

Cited by 167 publications

References 80 publications

Bubbles or Cycles? Housing Price Dynamics in China’s Major Cities

Bubbles or Cycles? Housing Price Dynamics in China’s Major Cities

The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data

Sustainable development and green gross domestic product assessments in megacities based on the emergy analysis method—A case study of Wuhan

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