The identification and efficiency evaluation of industrial parcels by integrating multi-source spatial data in Shenzhen, South China

References

• Alao, M. A., O. M. Popoola, and T. R. Ayodele. 2021. “Selection of Waste-To-Energy Technology for Distributed Generation Using IDOCRIW-Weighted TOPSIS Method: A Case Study of the City of Johannesburg, South Africa.” Renewable Energy 178:162–22. https://doi.org/10.1016/j.renene.2021.06.031.
   Web of Science ®Google Scholar
• Al-Tuwaijri, S. A., T. E. Christensen, and K. E. Hughes. 2004. “The Relations Among Environmental Disclosure, Environmental Performance, and Economic Performance: A Simultaneous Equations Approach.” Accounting, Organizations & Society 29 (5): 447–471. https://doi.org/10.1016/S0361-3682(03)00032-1.
   Web of Science ®Google Scholar
• Bilgen, S. 2014. “Structure and Environmental Impact of Global Energy Consumption.” Renewable and Sustainable Energy Reviews 38:890–902. https://doi.org/10.1016/j.rser.2014.07.004.
   Web of Science ®Google Scholar
• Borjas, G. J., and J. C. Van Ours. 2010. Labor economics. Boston: McGraw-Hill/Irwin.
   Google Scholar
• Brovelli, M. A., M. Minghini, M. Molinari, and P. Mooney. 2017. “Towards an Automated Comparison of OpenStreetmap with Authoritative Road Datasets.” Transactions in GIS 21 (2): 191–206. https://doi.org/10.1111/tgis.12182.
   Web of Science ®Google Scholar
• Chen, J. 2006. “Development of Chinese Small and Medium‐Sized Enterprises.” Journal of Small Business and Enterprise Development 13 (2): 140–147. https://doi.org/10.1108/14626000610665854.
   Google Scholar
• Chen, H., K. Chen, and Y. Shen. 2023. “Practice and Reflections on the Mixed Land Use Policy for Secondary and Tertiary Industries—A Case Study of Guangzhou.” Natural Resource Economics of China 1–13. https://doi.org/10.19676/j.cnki.1672-6995.000861.
   Google Scholar
• Chen, W., S. Ning, W. Chen, E. Liu, Y. Wang, and M. Zhao. 2020. “Spatial-Temporal Characteristics of Industrial Land Green Efficiency in China: Evidence from Prefecture-Level Cities.” Ecological Indicators 113:106256. https://doi.org/10.1016/j.ecolind.2020.106256.
   Web of Science ®Google Scholar
• Chen, B., B. Xu, and P. Gong. 2021. “Mapping Essential Urban Land Use Categories (EULUC) Using Geospatial Big Data: Progress, Challenges, and Opportunities.” Big Earth Data 5 (3): 410–441. https://doi.org/10.1080/20964471.2021.1939243.
   Google Scholar
• Dang, G., and L. S. Pheng. 2015. “Infrastructure Investments in Developing Economies.” Springer Science Business Media Singapore 10:978–981. https://doi.org/10.1007/978-981-287-248-7.
   Google Scholar
• Deng, Y., B. Fu, and C. Sun. 2018. “Effects of Urban Planning in Guiding Urban Growth: Evidence from Shenzhen, China.” Cities 83:118–128. https://doi.org/10.1016/j.cities.2018.06.014.
   Web of Science ®Google Scholar
• Deng, F., L. Xu, Y. Fang, Q. Gong, and Z. Li. 2020. “PCA-DEA-tobit Regression Assessment with Carbon Emission Constraints of China’s Logistics Industry.” Journal of Cleaner Production 271:122548. https://doi.org/10.1016/j.jclepro.2020.122548.
   Web of Science ®Google Scholar
• Dou, P., and Y. Chen. 2017. “Dynamic Monitoring of Land-Use/land-Cover Change and Urban Expansion in Shenzhen Using Landsat Imagery from 1988 to 2015.” International Journal of Remote Sensing 38 (19): 5388–5407. https://doi.org/10.1080/01431161.2017.1339926.
   Web of Science ®Google Scholar
• Duan, J. 2020. The Shenzhen experiment: The story of China’s instant city. London: Harvard University Press.
   Google Scholar
• Du, S., S. Du, B. Liu, and X. Zhang. 2021. “Mapping Large-Scale and Fine-Grained Urban Functional Zones from VHR Images Using a Multi-Scale Semantic Segmentation Network and Object Based Approach.” Remote Sensing of Environment 261:112480. https://doi.org/10.1016/j.rse.2021.112480.
   Web of Science ®Google Scholar
• Fan, Y., B. Bai, Q. Qiao, P. Kang, Y. Zhang, and J. Guo. 2017. “Study on Eco-Efficiency of Industrial Parks in China Based on Data Envelopment Analysis.” Journal of Environmental Management 192:107–115. https://doi.org/10.1016/j.jenvman.2017.01.048.
   PubMed Web of Science ®Google Scholar
• Fassnacht, F. E., H. Latifi, K. Stereńczak, A. Modzelewska, M. Lefsky, L. T. Waser, C. Straub, and A. Ghosh. 2016. “Review of Studies on Tree Species Classification from Remotely Sensed Data.” Remote Sensing of Environment 186:64–87. https://doi.org/10.1016/j.rse.2016.08.013.
   Web of Science ®Google Scholar
• Gong, P., B. Chen, X. Li, H. Liu, J. Wang, Y. Bai, J. Chen, et al. 2020. “Mapping Essential Urban Land Use Categories in China (EULUC-China): Preliminary Results for 2018.” Science Bulletin 65 (3): 182–187. https://doi.org/10.1016/j.scib.2019.12.007.
   PubMed Web of Science ®Google Scholar
• Guo, G., Z. Peng, and Z. Zhou. 2019. “Impact of Industrial Enterprise Type of Macro Perspective on Industrial Land Use Efficiency.” Resource and Environment in the Yangtze Basin 28 (2): 241–249.
   Google Scholar
• Hoekstra, A. Y., and A. K. Chapagain. 2007. “Water Footprints of Nations: Water Use by People As a Function of Their Consumption Pattern.” In Integrated Assessment of Water Resources and Global Change: A North-South Analysis, edited by E. Craswell, M. Bonnell, D. Bossio, S. Demuth, and N. V. D. Giesen, 35–48. Springer Netherlands. https://doi.org/10.1007/978-1-4020-5591-1_3.
   Google Scholar
• Hong, W., R. Jiang, C. Yang, F. Zhang, M. Su, and Q. Liao. 2016. “Establishing an Ecological Vulnerability Assessment Indicator System for Spatial Recognition and Management of Ecologically Vulnerable Areas in Highly Urbanized Regions: A Case Study of Shenzhen, China.” Ecological Indicators 69:540–547. https://doi.org/10.1016/j.ecolind.2016.05.028.
   Web of Science ®Google Scholar
• Huang, X., and Y. Wang. 2019. “Investigating the Effects of 3D Urban Morphology on the Surface Urban Heat Island Effect in Urban Functional Zones by Using High-Resolution Remote Sensing Data: A Case Study of Wuhan, Central China.” Isprs Journal of Photogrammetry & Remote Sensing 152:119–131. https://doi.org/10.1016/j.isprsjprs.2019.04.010.
   Web of Science ®Google Scholar
• Huang, H., H. Xu, X. Wang, and W. Silamu. 2015. “Maximum F1-Score Discriminative Training Criterion for Automatic Mispronunciation Detection.” IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (4): 787–797. https://doi.org/10.1109/TASLP.2015.2409733.
   Web of Science ®Google Scholar
• Jiang, H. 2021. “Spatial–Temporal Differences of Industrial Land Use Efficiency and Its Influencing Factors for China’s Central Region: Analyzed by SBM Model.” Environmental Technology & Innovation 22:101489. https://doi.org/10.1016/j.eti.2021.101489.
   Web of Science ®Google Scholar
• Lai, Y., E. H. W. Chan, and L. Choy. 2017. “Village-Led Land Development Under State-Led Institutional Arrangements in Urbanising China: The Case of Shenzhen.” Urban Studies 54 (7): 1736–1759. https://doi.org/10.1177/0042098016629325.
   Web of Science ®Google Scholar
• Lai, Y., K. Chen, J. Zhang, and F. Liu. 2020. “Transformation of Industrial Land in Urban Renewal in Shenzhen, China.” The Land 9 (10): 371. Article 10. https://doi.org/10.3390/land9100371.
   Web of Science ®Google Scholar
• Liang, L., M. Chen, X. Luo, and Y. Xian. 2021. “Changes Pattern in the Population and Economic Gravity Centers Since the Reform and Opening Up in China: The Widening Gaps Between the South and North.” Journal of Cleaner Production 310:127379. https://doi.org/10.1016/j.jclepro.2021.127379.
   Web of Science ®Google Scholar
• Li, C., X. Gao, B.-J. He, J. Wu, and K. Wu. 2019. “Coupling Coordination Relationships Between Urban-Industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China.” Sustainability 11 (5): 1446. Article 5. https://doi.org/10.3390/su11051446.
   Web of Science ®Google Scholar
• Liu, J., Z. Cheng, and H. Zhang. 2017. “Does Industrial Agglomeration Promote the Increase of Energy Efficiency in China?” Journal of Cleaner Production 164:30–37. https://doi.org/10.1016/j.jclepro.2017.06.179.
   Web of Science ®Google Scholar
• Liu, X., G. K. Heilig, J. Chen, and M. Heino. 2007. “Interactions Between Economic Growth and Environmental Quality in Shenzhen, China’s First Special Economic Zone.” Ecological Economics 62 (3): 559–570. https://doi.org/10.1016/j.ecolecon.2006.07.020.
   Web of Science ®Google Scholar
• Liu, J., J. Li, W. Li, and J. Wu. 2016. “Rethinking Big Data: A Review on the Data Quality and Usage Issues.” Isprs Journal of Photogrammetry & Remote Sensing 115:134–142. https://doi.org/10.1016/j.isprsjprs.2015.11.006.
   Web of Science ®Google Scholar
• Liu, S., Y. Lin, Y. Ye, and W. Xiao. 2021. “Spatial-Temporal Characteristics of Industrial Land Use Efficiency in Provincial China Based on a Stochastic Frontier Production Function Approach.” Journal of Cleaner Production 295:126432. https://doi.org/10.1016/j.jclepro.2021.126432.
   Web of Science ®Google Scholar
• Liu, X., and Y. Long. 2016. “Automated Identification and Characterization of Parcels with OpenStreetmap and Points of Interest.” Environment & planning B, Planning & design 43 (2): 341–360. https://doi.org/10.1177/0265813515604767.
   Google Scholar
• Liu, K., L. Yin, F. Lu, and N. Mou. 2020. “Visualizing and Exploring POI Configurations of Urban Regions on POI-Type Semantic Space.” Cities 99:102610. https://doi.org/10.1016/j.cities.2020.102610.
   Web of Science ®Google Scholar
• Liu, Y., X. Zhang, X. Kong, R. Wang, and L. Chen. 2018. “Identifying the Relationship Between Urban Land Expansion and Human Activities in the Yangtze River Economic Belt, China.” Applied Geography 94:163–177. https://doi.org/10.1016/j.apgeog.2018.03.016.
   Web of Science ®Google Scholar
• Li, P., S. Yang, H. Yao, M. Yang, and W. Yong. 2017. “Research on Extraction of Urban Color Steel Shed Based on High Resolution Remote Sensing Image.” Geospatial Information 15 (9): 13–15+18+7.
   Google Scholar
• Lu, C., F. Wen, Q. Yang, L. Chen, and H. Zong. 2011. “An Evaluation of Urban Land Use Performance Based on the Improved TOPSIS Method and Diagnosis of Its Obstacle Indicators: A Case Study of Chongqing.” Resources Science 33 (3): 535–541.
   Google Scholar
• Ma, W., G. Jiang, Y. Chen, Y. Qu, T. Zhou, and W. Li. 2020. “How Feasible Is Regional Integration for Reconciling Land Use Conflicts Across the Urban–Rural Interface? Evidence from Beijing–Tianjin–Hebei Metropolitan Region in China.” Land Use Policy 92:104433. https://doi.org/10.1016/j.landusepol.2019.104433.
   Web of Science ®Google Scholar
• Mardani, A., E. K. Zavadskas, D. Streimikiene, A. Jusoh, and M. Khoshnoudi. 2017. “A Comprehensive Review of Data Envelopment Analysis (DEA) Approach in Energy Efficiency.” Renewable and Sustainable Energy Reviews 70:1298–1322. https://doi.org/10.1016/j.rser.2016.12.030.
   Web of Science ®Google Scholar
• Ministry of Housing and Urban-Rural Development of the People’s Republic of China. 2020. China Urban Construction Statistical Yearbook.
   Google Scholar
• National Assembly of the PRC. 2010, September 6. Forward the Notice of the State Council on the Approval of the Expansion of the Scope of the Shenzhen Special Economic Zone. http://www.gd.gov.cn/gkmlpt/content/0/139/post_139027.html#7.
   Google Scholar
• National Bureau of Statistics of China. 2022. China Statistical Yearbook. Beijing: China Statistics Press.
   Google Scholar
• O’Donnell, M. A., W. Wong, and J. Bach. 2017. Learning from Shenzhen: China’s Post-Mao Experiment from Special Zone to Model City. Chicago: University of Chicago Press.
   Google Scholar
• Otsuka, A., M. Goto, and T. Sueyoshi. 2010. “Industrial Agglomeration Effects in Japan: Productive Efficiency, Market Access, and Public Fiscal Transfer.” Papers in Regional Science 89 (4): 819–840. https://doi.org/10.1111/j.1435-5957.2010.00286.x.
   Web of Science ®Google Scholar
• Pan, W., and J. Du. 2021. “Towards Sustainable Urban Transition: A Critical Review of Strategies and Policies of Urban Village Renewal in Shenzhen, China.” Land Use Policy 111:105744. https://doi.org/10.1016/j.landusepol.2021.105744.
   Web of Science ®Google Scholar
• Pérez-Lombard, L., J. Ortiz, and C. Pout. 2008. “A Review on Buildings Energy Consumption Information.” Energy & Buildings 40 (3): 394–398. https://doi.org/10.1016/j.enbuild.2007.03.007.
   Web of Science ®Google Scholar
• Pui, D. Y. H., S.-C. Chen, and Z. Zuo. 2014. “PM2.5 in China: Measurements, Sources, Visibility and Health Effects, and Mitigation.” Particuology 13:1–26. https://doi.org/10.1016/j.partic.2013.11.001.
   Web of Science ®Google Scholar
• Qian, C. 2022. “A Shenzhen Model for Innovative Global Benchmark City Talent Strategy.” Specoa Zone Economy 399 (4): 7–8.
   Google Scholar
• Qiao, L., H. Huang, and Y. Tian. 2019. “The Identification and Use Efficiency Evaluation of Urban Industrial Land Based on Multi-Source Data.” Sustainability 11 (21): 6149. https://doi.org/10.3390/su11216149.
   Web of Science ®Google Scholar
• Qin, Y., E. Curmi, G. M. Kopec, J. M. Allwood, and K. S. Richards. 2015. “China’s Energy-Water Nexus – Assessment of the Energy sector’s Compliance with the “3 Red Lines” Industrial Water Policy.” Energy Policy 82:131–143. https://doi.org/10.1016/j.enpol.2015.03.013.
   Web of Science ®Google Scholar
• Tu, F., X. Yu, and J. Ruan. 2014. “Industrial Land Use Efficiency Under Government Intervention: Evidence from Hangzhou, China.” Habitat International 43:1–10. https://doi.org/10.1016/j.habitatint.2014.01.017.
   Web of Science ®Google Scholar
• Wang, Z.-H., H.-L. Zeng, Y.-M. Wei, and Y.-X. Zhang. 2012. “Regional Total Factor Energy Efficiency: An Empirical Analysis of Industrial Sector in China.” Applied Energy 97:115–123. https://doi.org/10.1016/j.apenergy.2011.12.071.
   Web of Science ®Google Scholar
• Wang, Z., J. Zhao, S. Lin, and Y. Liu. 2019. “Identification of Industrial Land Parcels and Its Implications for Environmental Risk Management in the Beijing–Tianjin–Hebei Urban Agglomeration.” Sustainability 12 (1): 174. https://doi.org/10.3390/su12010174.
   Web of Science ®Google Scholar
• Wei, J., Z. Li, A. Lyapustin, L. Sun, Y. Peng, W. Xue, T. Su, and M. Cribb. 2021. “Reconstructing 1-Km-Resolution High-Quality PM2.5 Data Records from 2000 to 2018 in China: Spatiotemporal Variations and Policy Implications.” Remote Sensing of Environment 252:112136. https://doi.org/10.1016/j.rse.2020.112136.
   Web of Science ®Google Scholar
• Woo, C., Y. Chung, D. Chun, H. Seo, and S. Hong. 2015. “The Static and Dynamic Environmental Efficiency of Renewable Energy: A Malmquist Index Analysis of OECD Countries.” Renewable and Sustainable Energy Reviews 47:367–376. https://doi.org/10.1016/j.rser.2015.03.070.
   Web of Science ®Google Scholar
• Wu, Y., X. Zhang, M. Skitmore, Y. Song, and E. C. M. Hui. 2014. “Industrial Land Price and Its Impact on Urban Growth: A Chinese Case Study.” Land Use Policy 36:199–209. https://doi.org/10.1016/j.landusepol.2013.08.015.
   Web of Science ®Google Scholar
• Xia, Y., X. Wang, H. Li, and W. Li. 2020. “China’s Provincial Environmental Efficiency Evaluation and Influencing Factors of the Mining Industry Considering Technology Heterogeneity.” Institute of Electrical and Electronics Engineers Access 8:178924–178937. https://doi.org/10.1109/ACCESS.2020.3027698.
   Google Scholar
• Xiong, S., X. Ma, and J. Ji. 2019. “The Impact of Industrial Structure Efficiency on Provincial Industrial Energy Efficiency in China.” Journal of Cleaner Production 215:952–962. https://doi.org/10.1016/j.jclepro.2019.01.095.
   Web of Science ®Google Scholar
• Xue, B., X. Xiao, and J. Li. 2020. “Identification Method and Empirical Study of Urban Industrial Spatial Relationship Based on POI Big Data: A Case of Shenyang City, China.” Geography and Sustainability 1 (2): 152–162. https://doi.org/10.1016/j.geosus.2020.06.003.
   Google Scholar
• Xu, X., J. Liu, S. Zhang, R. Li, C. Yan, and S. Wu. 2020. China Multi-Period Land Use Remote Sensing Monitoring Data Set (CNLUCC).
   Google Scholar
• Yu, W., T. Ai, and S. Shao. 2015. “The Analysis and Delimitation of Central Business District Using Network Kernel Density Estimation.” Journal of Transport Geography 45:32–47. https://doi.org/10.1016/j.jtrangeo.2015.04.008.
   Web of Science ®Google Scholar
• Zacharias, J., and Y. Tang. 2010. “Restructuring and Repositioning Shenzhen, China’s New Mega City.” Progress in Planning 73 (4): 209–249. https://doi.org/10.1016/j.progress.2010.01.002.
   Web of Science ®Google Scholar
• Zhang, J. 2012. “From Hong Kong’s Capitalist Fundamentals to Singapore’s Authoritarian Governance: The Policy Mobility of Neo-Liberalising Shenzhen, China.” Urban Studies 49 (13): 2853–2871. https://doi.org/10.1177/0042098012452455.
   Web of Science ®Google Scholar
• Zhang, J., Y. Chang, C. Wang, and L. Zhang. 2018. “The Green Efficiency of Industrial Sectors in China: A Comparative Analysis Based on Sectoral and Supply-Chain Quantifications.” Resources, Conservation & Recycling 132:269–277. https://doi.org/10.1016/j.resconrec.2017.02.015.
   Web of Science ®Google Scholar
• Zhang, W., B. Wang, J. Wang, Q. Wu, and Y. D. Wei. 2022. “How Does Industrial Agglomeration Affect Urban Land Use Efficiency? A Spatial Analysis of Chinese Cities.” Land Use Policy 119:106178. https://doi.org/10.1016/j.landusepol.2022.106178.
   Web of Science ®Google Scholar
• Zhang, L., L. Zhao, and Y. Zha. 2021. “Efficiency Evaluation of Chinese Regional Industrial Systems Using a Dynamic Two-Stage DEA Approach.” Socio-Economic Planning Sciences 77:101031. https://doi.org/10.1016/j.seps.2021.101031.
   Web of Science ®Google Scholar
• Zhong, L., and X. Liu. 2019. “Application Potential Analysis of LJ1-01 New Nighttime Light Data.” Bulletin of Surveying & Mapping 7:132–137. https://doi.org/10.13474/j.cnki.11-2246.2019.0235.
   Google Scholar