Spatial spillover effect on land conveyance fee—A multi-scheme investigation in Wuhan agglomeration

Zeng, Chen

doi:10.1016/j.landusepol.2019.104196

Cited by 13 publications

(4 citation statements)

References 58 publications

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“…The gap between the three major areas is much smaller than that indicated by per capita GDP, according to Chen's per capita net income for farmers and per capita disposable income in urban areas (gross domestic product). He believes that China's regional differences are within an acceptable range because the difference is largely due to differences in urbanization levels [ 4 ]. Zhou et al used the reciprocal of the Herfindal index as the measurement index of the scope economy to calculate the Herfindal index of 19 cities.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] An Intelligent Analysis Model in the Environment of Regional Economic Development and Regional Economic Differences in China Using Big Data Analysis Technology

Luo

2022

Journal of Environmental and Public Health

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The current and long-term regional economic imbalance in China requires ongoing attention. To ensure the balanced development of China’s renewable energy, it is therefore important to examine the causes of the differences in China’s renewable energy from a variety of perspectives. The spatial distribution pattern and characteristics of China’s per capita GDP (gross domestic product) from 2012 to 2021 were examined in this study using the exploratory spatial data analysis tool. In addition, it conducts an empirical investigation into the spatial spillover effect of RED and the manufacturing agglomeration in China (regional economic development). The findings indicate that in the eastern region, the total backward link value of the feedback effect of 17 industrial sectors is 0.8524, and in the central region, the value is 0.8139. The real per capita GDP of neighboring provinces will increase by 0.118% for every 1% increase in manufacturing agglomeration level. According to the overall ranking, China’s RED level is very uneven due to a number of factors. We should direct and encourage the manufacturing industry to congregate in various regions, optimize the spatial pattern of manufacturing industry agglomeration, and fully exploit SSE in order to promote China’s RED and reduce the difference in RE.

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Section: Introductionmentioning

confidence: 99%

[Retracted] An Intelligent Analysis Model in the Environment of Regional Economic Development and Regional Economic Differences in China Using Big Data Analysis Technology

Luo

2022

Journal of Environmental and Public Health

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“…Assuming that local governments are rational, they will make reasonable decisions and avoid risks. Given the pressure on officials regarding promotion and performance evaluation by superior governments, China's unique performance evaluation mechanism exposes local governments' land finances to competition or cooperation, especially across geographically adjacent regions Zeng, 2019). These local governments must ensure a greater economic growth rate than their peers to attract investment; that is, their actions may depend on and affect government actions in nearby areas (Liu et al, 2018;Wu et al, 2015).…”

Section: Theoretical Background and Hypothesismentioning

confidence: 99%

Effect of Urban Innovation on Land Finance Dependence: Evidence From 233 Chinese Cities

Fu,

Zhao,

Lin

et al. 2023

International Journal of Strategic Property Management

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Unlike most studies on urban innovation, which focus on the effects of land-use policies, this study investigates the effect of urban innovation (UI) on land finance dependence (LFD). In China, innovation-related policies are intended to create a shared business environment where new entrepreneurs can contribute to achieving sustainable economic growth. This study analyzes the spatiotemporal dynamics of LFD and UI from 2005 to 2019 using the spatial autocorrelation model and dynamic spatial Durbin model. It finds a positive spatial association between LFD and UI throughout the studied regions during the study period. It also reveals a significant inhibitory effect of UI on LFD and a negative impact on the LFD of neighbouring cities. Moreover, the inhibitory effects will increase over time. Lastly, this study shows varied impacts of UI on LFD in different regions, especially in eastern China. Important policy recommendations for high-quality development in China are provided.

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“…There are "imitation effect" and "demonstration effect" of policies among local governments. At present, under the incentives of fiscal benefits, taxation and political promotion, Chinese local governments are willing to learn from the successful experiences of neighboring governments in the process of formulating public policies [40][41][42]. Therefore, the government of surrounding units has improved the CLUE and achieved economic growth through the reasonable formulation of highway infrastructure construction planning and land use policy, and the government of local units may also formulate similar development strategies.…”

Section: The Effects Of Highway Infrastructure Construction On Cluementioning

confidence: 99%

Evaluating the Impact of the Highway Infrastructure Construction and the Threshold Effect on Cultivated Land Use Efficiency: Evidence from Chinese Provincial Panel Data

Hou

Tang

et al. 2022

Land

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Highway infrastructure construction is regarded as one of the effective policy tools used to promote the flow of production factors and upgrade the industrial structure in China, and it may also be an important precondition to improving Cultivated Land Use Efficiency (CLUE). This paper uses a slack-based model (SBM) based on provincial-level panel data from China from 2004 to 2017 to measure CLUE. Then a dynamic spatial Durbin model and a panel threshold regression model were established to analyze the spatial spillover effect and threshold effect of highway infrastructure construction on CLUE. The results showed that the CLUE of China has a fluctuating but overall rising trend. The dynamic spatial Durbin model demonstrated that the Chinese government’s policy of supporting highway infrastructure construction has played an important role in promoting CLUE by spatial spillover effects, and the driving effect of expressways and first–second highways on CLUE is particularly significant in this regard. More interestingly, the results of the panel threshold regression indicated that there is a single threshold effect in the influence of highway infrastructure construction on CLUE. This paper suggested that the spatial correlation between regions should be considered in the construction of regional highway infrastructure and land use planning to improve CLUE. Moreover, the planning of highway infrastructure construction should be balanced according to the actual demand of economic and agricultural development, so as to promote the full flow and reasonable allocation of cultivated land use factors among regions.

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Spatial spillover effect on land conveyance fee—A multi-scheme investigation in Wuhan agglomeration

Cited by 13 publications

References 58 publications

[Retracted] An Intelligent Analysis Model in the Environment of Regional Economic Development and Regional Economic Differences in China Using Big Data Analysis Technology

[Retracted] An Intelligent Analysis Model in the Environment of Regional Economic Development and Regional Economic Differences in China Using Big Data Analysis Technology

Effect of Urban Innovation on Land Finance Dependence: Evidence From 233 Chinese Cities

Evaluating the Impact of the Highway Infrastructure Construction and the Threshold Effect on Cultivated Land Use Efficiency: Evidence from Chinese Provincial Panel Data

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