A Comprehensive Framework to Evaluate Urban Land Use Efficiency Based on Dynamic Evolution, Driving Mechanism and Influencing Factors — Oak Academic Publishing
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A Comprehensive Framework to Evaluate Urban Land Use Efficiency Based on Dynamic Evolution, Driving Mechanism and Influencing Factors
School of Natural Sciences, The University of Manchester, Manchester, UK
,
Department of Architecture, Hefei University of Technology, Hefei, China
1 School of Natural Sciences, The University of Manchester, Manchester, UK
2 Department of Architecture, Hefei University of Technology, Hefei, China
Urban land use efficiency is the key index to measure the quality of urban land use. This paper attempts to build a comprehensive framework to analyze the spatial-temporal dynamic evolution, driving mechanism and influencing factors of urban land use efficiency by using data envelope analysis model, Malmquist index, spatial autocorrelation analysis method and Tobit model. The case study in Yunnan Province of China shows that the overall average values of technical efficiency, pure technical efficiency and scale efficiency during the research period are 0.8686, 0.8959 and 0.9698 respectively. The overall spatial distribution for urban land use efficiency shows a random spatial pattern, but there is a significant spatial autocorrelation in local space. The internal driving mechanism for the change of urban land use efficiency is dominated by technological progress change, while the technical efficiency change has a negative effect. In terms of the impact on urban land use efficiency, some factors have positive effects, while others have negative effects. This research can provide decision-making basis for Yunnan Province to formulate urban land use policies and provide method and practice references for the research on urban land use efficiency.
KeywordsUrban Land Use EfficiencyComprehensive FrameworkDynamic EvolutionDriving MechanismInfluencing Factors
Abd El Aal, A. K., Kamel, M., & Alyami, S. H. (2020). Environmental Analysis of Land Use and Land Change of Najran City: GIS and Remote Sensing. Arabian Journal for Science and Engineering, 45, 8803-8816. https://doi.org/10.1007/s13369-020-04884-x
Anselin, L. (1995). Local Indicators of Spatial Association—LISA. Geographical Analysis, 27, 93-115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
Baráth, L., & Fertő, I. (2015). Heterogeneous Technology, Scale of Land Use and Technical Efficiency: The Case of Hungarian Crop Farms. Land Use Policy, 42, 141-150. https://doi.org/10.1016/j.landusepol.2014.07.015
Coelho, C. G. C., Abreu, C. G., Ramos, R. M., D. Mendes, A. H., Teodoro, G., & Ralha, C. G. (2016). MASE-BDI: Agent-Based Simulator for Environmental Land Change with Efficient and Parallel Auto-Tuning. Applied Intelligence, 45, 904-922. https://doi.org/10.1007/s10489-016-0797-8
Deilmann, C., Lehmann, I., Reißmann, D., & Hennersdorf, J. (2016). Data Envelopment Analysis of Cities—Investigation of the Ecological and Economic Efficiency of Cities Using a Benchmarking Concept from Production Management. Ecological Indicators, 67, 798-806. https://doi.org/10.1016/j.ecolind.2016.03.039
Ding, T., & Wu, Z. N. (2019). Calculation of Agricultural Land Use Efficiency Based on Malmquist Index Method. Statistics and Decision, 35, 82-84.
Guastella, G., Pareglio, S., & Sckokai, P. (2017). A Spatial Econometric Analysis of Land Use Efficiency in Large and Small Municipalities. Land Use Policy, 63, 288-297. https://doi.org/10.1016/j.landusepol.2017.01.023
Herzig, A., Nguyen, T. T., Ausseil, A. E., Maharjan, G. R., Dymond, J. R., Arnhold, S. et al. (2018). Assessing Resource-Use Efficiency of Land Use. Environmental Modelling & Software, 107, 34-49. https://doi.org/10.1016/j.envsoft.2018.05.005
Hua, J. Q., & Ye, C. S. (2018). Urban Land Use Efficiency and Spatiotemporal Differentiation of Guangdong Province Based on DEA. Research of Soil and Water Conservation, 25, 283-288.
Huang, H. P., & Peng, X. L. (2016). Urban Land Use Efficiency Changes and Improvement Strategies from a Decoupling Perspective in Nanchang City. Resources Science, 38, 493-500.
Huang, H. P., & Wang, Z. P. (2019). Evaluation and Improvement of Agricultural Land Re-source Utilization Efficiency: A Case Study of Jiangxi Province. Chinese Journal of Eco-Agriculture, 27, 803-814.
Jin, G., Deng, X. Z., Zhao, X. D., Guo, B. S., & Yang, J. (2018). Spatio-Temporal Patterns of Urban Land Use Efficiency in the Yangtze River Economic Zone during 2005-2014. Acta Geographica Sinica, 73, 1242-1252.
Li, J., Hu, B. X., Kuang, B., & Chen, D. L. (2017). Measuring of Urban Land Use Efficiency and Its Dynamic Development in China. Economic Geography, 37, 162-167.
Lin, L. Q., Wang, Q., Fu, T., Luo, J. S., & Yi, Y. T. (2021). Knowledge Structure of Land Use Efficiency in China: An Analysis Based on CiteSpace Map. Journal of Southwest China Normal University (Natural Science Edition), 46, 115-125.
Liu, C. G., Gao, G. P., & Zhuang, J. (2005). Analysis of Urban Economic Development and Land-Use Efficiency in Shandong Province. China Economist , No. 8, 257-259.
Liu, Y. F., & Li, M. F. (2021). Study on Land Use Efficiency of Beijing Tianjin Hebei Urban Agglomeration under the Third Line Conflict. The Border Economy and Culture , No. 10, 29-31.
Martinho, V. J. P. D. (2017). Efficiency, Total Factor Productivity and Returns to Scale in a Sustainable Perspective: An Analysis in the European Union at Farm and Regional Level. Land Use Policy, 68, 232-245. https://doi.org/10.1016/j.landusepol.2017.07.040
Masini, E., Tomao, A., Barbati, A., Corona, P., Serra, P., & Salvati, L. (2019). Urban Growth, Land-Use Efficiency and Local Socioeconomic Context: A Comparative Analysis of 417 Metropolitan Regions in Europe. Environmental Management, 63, 322-337. https://doi.org/10.1007/s00267-018-1119-1
Nolè, G., Lasaponara, R., Lanorte, A., & Murgante, B. (2014). Quantifying Urban Sprawl with Spatial Autocorrelation Techniques Using Multi-Temporal Satellite Data. International Journal of Agricultural and Environmental Information Systems, 5, 19-37. https://doi.org/10.4018/ijaeis.2014040102
Penazzi, S., Accorsi, R., & Manzini, R. (2019). Planning Low Carbon Urban-Rural Ecosystems: An Integrated Transport Land-Use Model. Journal of Cleaner Production, 235, 96-111. https://doi.org/10.1016/j.jclepro.2019.06.252
Sarkodie, S. A., & Owusu, P. A. (2022). Global Land-Use Intensity and Anthropogenic Emissions Exhibit Symbiotic and Explosive Behavior. iScience, 25, Article No. 104741. https://doi.org/10.1016/j.isci.2022.104741
Schiavina, M., Melchiorri, M., Freire, S., Florio, P., Ehrlich, D., Tommasi, P. et al. (2022). Land Use Efficiency of Functional Urban Areas: Global Pattern and Evolution of Development Trajectories. Habitat International, 123, Article ID: 102543. https://doi.org/10.1016/j.habitatint.2022.102543
Tang, Y., Wang, K., Ji, X., Xu, H., & Xiao, Y. (2021). Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations. Land, 10, Article No. 715. https://doi.org/10.3390/land10070715
Wang, J., & Han, P. (2023). The Impact of Industrial Agglomeration on Urban Green Land Use Efficiency in the Yangtze River Economic Belt. Scientific Reports, 13, Article No. 974. https://doi.org/10.1038/s41598-023-28250-7
Wang, K. L., & Qin, H. (2017). An Analysis of the Influencing Factors and Efficiency Calculation of Electronic Information Manufacturing Industry in China. Journal of Indus-trial Technological Economics, 36, 36-40.
Wang, S., Yang, C., & Li, Z. (2021). Spatio-Temporal Evolution Characteristics and Spatial Interaction Spillover Effects of New-Urbanization and Green Land Utilization Efficiency. Land, 10, Article No. 1105. https://doi.org/10.3390/land10101105
Wang, X. T. (2019). Efficiency Change of Mega Cities in China under the Tightening of UGB. Regional Economic Review, 2, 134-139.
Wang, Y. (2013). Review of the Research on Land Use Structure. Journal of Xi ’ an Shiyou University (Social Science Edition), 22, 41-46.
Yan, T. P., Liao, W., Li, L., & Shi, Z. H. (2012). Optimization of Land Use Structure and Spatial Pattern for the Danjiangkou Reservoir Area. Research of Soil and Water Conserbation, 19, 11-15.
Yang, Q. K., Duan, X. J., Ye, L., & Zhang, W. (2014). Efficiency Evaluation of City Land Utilization in the Yangtze River Delta Using a SBM-Undesirable Model. Resources Science, 36, 712-721.
Yuan, Z. K. (2016). Review on Land Use and Land Cover Change. Gansu Agricultural Science and Technology , No. 9, 73-77.
Zhang, Y. J., & Jin, H. (2015). Research on Efficiency of Urban Construction Land and the Drive Mechanism in the Mid-Yangtze River. Resources Science, 37, 1384-1393.
Zhang, Z. H., Li, S., Fu, D., & Qi, Q. G. (2020). Evaluation of Urban Land Use Efficiency in Hebei Province Based on DEA Mode. Southwest China Journal of Agricultural Sciences, 33, 1273-1278.
Zhu, M. Y., Zhuang, D. C., & Zhang, H. X. (2018). Spatial-Temporal Evolution of Urban Land Use Efficiency in China during 2000-2015. Bulletin of Soil and Water Conservation, 38, 240-247.
Zitti, M., Ferrara, C., Perini, L., Carlucci, M., & Salvati, L. (2015). Long-Term Urban Growth and Land Use Efficiency in Southern Europe: Implications for Sustainable Land Management. Sustainability, 7, 3359-3385. https://doi.org/10.3390/su7033359