Is high-tech zone a policy trap or a growth drive? Insights from the perspective of urban land use efficiency

Lu, Xinhai; Chen, Danling; Kuang, Bing; Zhang, Chaozheng; Chen, Cheng

doi:10.1016/j.landusepol.2020.104583

Cited by 65 publications

(37 citation statements)

References 33 publications

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“…Also, it allows to easily perform regional comparisons. Thus, following previous studies (Chen et al., 2019; Lu et al., 2020), land, labor force, and capital were selected as input indicators, corresponding to the urban built‐up area, the amount of industrial labor, and the amount of investment in fixed assets, respectively. Output variables include both desirable and undesirable indicators.…”

Section: Model Setting and Index Selectionmentioning

confidence: 99%

Is environmental regulation a blessing or a curse for China's urban land use efficiency? Evidence from a threshold effect model

Zhang

Chen

et al. 2021

Growth and Change

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Severe land shortage causes a higher demand for domestic and foreign land‐intensive products. As a result, resource utilization, and related environmental issues, will increase in urban areas. To this respect, the analysis of the impact of environmental regulation on urban land use efficiency helps to identify potential points for interventions designed to ensure sustainable land use. This study first introduces a theoretical framework to investigate the micro‐transmission mechanism of environmental regulation on urban land use efficiency. Our profit decision‐making model concludes that the impact of environmental regulation on urban land use efficiency is influenced by changes in the industrial structure. Empirically, our preliminary analysis suggests that in addition to population density, both formal and informal environmental regulation can promote urban land use efficiency, with a significant spatial heterogeneity across the sample regions. Further, this study shows a remarkable double‐threshold relationship between formal environmental regulation and urban land use efficiency in China. We clarify and confirm that environmental regulation promoted urban land use efficiency only when regulation intensity was higher than 0.8612. Environmental regulation increased urban land use efficiency in high‐level industrial rationalization areas, whereas it had the opposite effect in low‐level ones. Furthermore, there was a clear marginal diminishing effect of the impact of environmental regulation on urban land use efficiency when the optimization of the industrial structure was set as a threshold variable.

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Section: Model Setting and Index Selectionmentioning

confidence: 99%

Is environmental regulation a blessing or a curse for China's urban land use efficiency? Evidence from a threshold effect model

Zhang

Chen

et al. 2021

Growth and Change

Self Cite

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“…The LD effect was bigger in newly industrial cities than that in traditional cities. The development of high-tech zones had a positive effect on urban land-use efficiency [ 65 ], usually with a high level of innovation and promotion of the economic development.…”

Section: Resultsmentioning

confidence: 99%

Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method: Evidence from China’s County-Level Cities

Zhao

Liu

2021

IJERPH

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Improving carbon efficiency and reducing carbon intensity are effective means of mitigating climate change. Carbon emissions due to urban residential energy consumption have increased significantly; however, there is a lack of research on urban residential carbon intensity. This paper examines the spatiotemporal variation of carbon intensity in the residential sector during 2001–2015, and then identifies the causes of the variation by utilizing the logarithmic mean Divisia index (LMDI) with the help of Microsoft Excel 2016 for 620 county-level cities in 30 Chinese provinces. The results show that high carbon intensity is mainly found in large cities, such as Beijing, Tianjin, and Shanghai. However, these cities showed a downward trend in carbon intensity. In terms of influencing factors, the energy consumption per capita, urban sprawl, and land demand are the three most influential factors in determining the changes in carbon intensity. The effect of energy consumption per capita mainly increases the carbon intensity, and its impact is higher in the municipal districts of provincial capital cities than in other types of cities. Similarly, the urban sprawl effect also promotes increases in carbon intensity, and a higher degree of influence appears in large cities. However, as urban expansion plateaus, the effect of urban sprawl decreases. The land-demand effect reduces the carbon intensity, and the degree of influence of the land-demand effect on carbon intensity is also clearly stronger in big cities. Our findings show that lowering the energy consumption per capita and optimizing the land-use structure are a reasonable direction of efforts, and the effects of differences in influencing factors should be paid more attention to reduce carbon intensity.

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“…Yu et al used 12 urban agglomerations in China to verify the main drivers of land-use efficiency in terms of economic level, economic structure, and government regulation [1]. Lu et al used 14 years of data from 285 cities in China and found that economic development, urbanization level, and industrial structure had different degrees of influence on urban land-use efficiency [27]. In their study of the Yangtze River Economic Zone, Dong et al found that urban land-use efficiency and industrial transformation showed synergistic effects of interactive growth [28].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China

Yao

Zhang

2021

Sustainability

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In the recent 10 years, China’s housing prices and land prices have risen rapidly, resulting in precious land resources, thus restricting the development of the cities. How to effectively measure urban land-use efficiency and how to optimize it has become a stumbling block on the road of sustainable development in China. This article focuses on the vital province in southwest China—Sichuan Province, which is facing the problem of insufficient land-use efficiency and uses the data of 32 cities from 2003 to 2018 to carry out the research. Based on the measurement results of urban land-use efficiency in Sichuan Province and its temporal and spatial evolution characteristics, this paper uses the SDM model to verify that the land-use efficiency can be optimized from the three aspects of innovation, industrial structure, and economic connections. The conclusion shows: (1) There is a weak decoupling relationship between urban land use and economic development in Sichuan Province. The urban land-use efficiency has the characteristics of polarization of more than two ends and less in the middle, but the gap is gradually reduced; (2) Time series level, urban land-use efficiency in various regions is increasing, and potential benchmark technology progress is the main reason for the increase; (3) At the spatial distribution level, urban land-use efficiency has spatial autocorrelation, forming an obvious “center-periphery” distribution pattern; (4) Innovation, economic connection, and industrial structure optimization can promote the improvement of land-use efficiency, and economic connection has a positive spillover effect on the land-use efficiency of surrounding areas. Accordingly, this study puts forward some targeted suggestions on improving urban land-use efficiency in Sichuan Province.

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Is high-tech zone a policy trap or a growth drive? Insights from the perspective of urban land use efficiency

Cited by 65 publications

References 33 publications

Is environmental regulation a blessing or a curse for China's urban land use efficiency? Evidence from a threshold effect model

Is environmental regulation a blessing or a curse for China's urban land use efficiency? Evidence from a threshold effect model

Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method: Evidence from China’s County-Level Cities

Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China

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