The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China
Abstract
:1. Introduction
2. Conceptual Framework
3. Data Source and Methodology
3.1. Study Area
3.2. Data Source
3.3. Methodology
3.3.1. Social Network Analysis
3.3.2. Super Efficiency SBM Model with Undesirable Outputs
3.3.3. Geographically and Temporally Weighted Regression
4. Results
4.1. Degree Centrality of the Cities in the YRD
4.2. ULUE Changes in the Cities of the YRD
4.3. The Impacts of Regional Cooperation on ULUE
5. Discussion
5.1. The Influence Mechanism of Regional Cooperation on ULUE
5.1.1. Improvement of ULUE by Co-Building Transportation Facilities
5.1.2. The Positive Effects of JDZs on ULUE
5.2. Policy Implications and Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Carlucci, M.; Grigoriadis, E.; Rontos, K.; Salvati, L. Revisiting a Hegemonic Concept: Long-term ‘Mediterranean Urbanization’ in Between City Re-polarization and Metropolitan Decline. Appl. Spat. Anal. Policy 2017, 10, 347–362. [Google Scholar] [CrossRef]
- Salvati, L.; Gargiulo Morelli, V. Unveiling Urban Sprawl in the Mediterranean Region: Towards a Latent Urban Transformation? Int. J. Urban Reg. Res. 2014, 38, 1935–1953. [Google Scholar] [CrossRef]
- Seto Karen, C.; Güneralp, B.; Hutyra Lucy, R. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proc. Natl. Acad. Sci. USA 2012, 109, 16083–16088. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Koroso, N.H.; Zevenbergen, J.A.; Lengoiboni, M. Urban land use efficiency in Ethiopia: An assessment of urban land use sustainability in Addis Ababa. Land Use Policy 2020, 99, 105081. [Google Scholar] [CrossRef]
- Jalilov, S.-M.; Chen, Y.; Quang, N.H.; Nguyen, M.N.; Leighton, B.; Paget, M.; Lazarow, N. Estimation of Urban Land-Use Efficiency for Sustainable Development by Integrating over 30-Year Landsat Imagery with Population Data: A Case Study of Ha Long, Vietnam. Sustainability 2021, 13, 8848. [Google Scholar] [CrossRef]
- Liu, S.; Xiao, W.; Li, L.; Ye, Y.; Song, X. Urban land use efficiency and improvement potential in China: A stochastic frontier analysis. Land Use Policy 2020, 99, 105046. [Google Scholar] [CrossRef]
- Wang, J.; Lin, Y.; Glendinning, A.; Xu, Y. Land-use changes and land policies evolution in China’s urbanization processes. Land Use Policy 2018, 75, 375–387. [Google Scholar] [CrossRef]
- Huang, Z.; Du, X.; Castillo, C.S.Z. How does urbanization affect farmland protection? Evidence from China. Resour. Conserv. Recycl. 2019, 145, 139–147. [Google Scholar] [CrossRef] [Green Version]
- Wanfu, J.; Chunshan, Z.; Tao, L.; Guojun, Z. Exploring the factors affecting regional land development patterns at different developmental stages: Evidence from 289 Chinese cities. Cities 2019, 91, 193–201. [Google Scholar] [CrossRef]
- Song, W.; Pijanowski, B.C.; Tayyebi, A. Urban expansion and its consumption of high-quality farmland in Beijing, China. Ecol. Indic. 2015, 54, 60–70. [Google Scholar] [CrossRef]
- Cao, X.; Liu, Y.; Li, T.; Liao, W. Analysis of Spatial Pattern Evolution and Influencing Factors of Regional Land Use Efficiency in China Based on ESDA-GWR. Sci. Rep. 2019, 9, 520. [Google Scholar] [CrossRef] [PubMed]
- Jiao, L.; Xu, Z.; Xu, G.; Zhao, R.; Liu, J.; Wang, W. Assessment of urban land use efficiency in China: A perspective of scaling law. Habitat Int. 2020, 99, 102172. [Google Scholar] [CrossRef]
- Zitti, M.; Ferrara, C.; Perini, L.; Carlucci, M.; Salvati, L. Long-Term Urban Growth and Land Use Efficiency in Southern Europe: Implications for Sustainable Land Management. Sustainability 2015, 7, 3359–3385. [Google Scholar] [CrossRef] [Green Version]
- Lu, X.; Zhang, Y.; Li, J.; Duan, K. Measuring the urban land use efficiency of three urban agglomerations in China under carbon emissions. Environ. Sci. Pollut. Res. Int. 2022, 29, 36443–36474. [Google Scholar] [CrossRef] [PubMed]
- Yu, J.; Zhou, K.; Yang, S. Land use efficiency and influencing factors of urban agglomerations in China. Land Use Policy 2019, 88, 104143. [Google Scholar] [CrossRef]
- Ding, T.; Yang, J.; Wu, H.; Liang, L. Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach. Socio-Econ. Plan. Sci. 2022, 79, 101090. [Google Scholar] [CrossRef]
- Masini, E.; Tomao, A.; Barbati, A.; Corona, P.; Serra, P.; Salvati, L. Urban Growth, Land-use Efficiency and Local Socioeconomic Context: A Comparative Analysis of 417 Metropolitan Regions in Europe. Environ. Manag. 2019, 63, 322–337. [Google Scholar] [CrossRef]
- Yang, X.; Wu, Y.; Dang, H. Urban Land Use Efficiency and Coordination in China. Sustainability 2017, 9, 410. [Google Scholar] [CrossRef] [Green Version]
- Koroso, N.H.; Lengoiboni, M.; Zevenbergen, J.A. Urbanization and urban land use efficiency: Evidence from regional and Addis Ababa satellite cities, Ethiopia. Habitat Int. 2021, 117, 102437. [Google Scholar] [CrossRef]
- Du, J.; Thill, J.-C.; Peiser, R.B. Land pricing and its impact on land use efficiency in post-land-reform China: A case study of Beijing. Cities 2016, 50, 68–74. [Google Scholar] [CrossRef]
- He, S.; Yu, S.; Li, G.; Zhang, J. Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities. Land Use Policy 2020, 95, 104576. [Google Scholar] [CrossRef]
- Liu, J.; Hou, X.; Wang, Z.; Shen, Y. Study the effect of industrial structure optimization on urban land-use efficiency in China. Land Use Policy 2021, 105, 105390. [Google Scholar] [CrossRef]
- Xie, H.; Chen, Q.; Lu, F.; Wu, Q.; Wang, W. Spatial-temporal disparities, saving potential and influential factors of industrial land use efficiency: A case study in urban agglomeration in the middle reaches of the Yangtze River. Land Use Policy 2018, 75, 518–529. [Google Scholar] [CrossRef]
- Lu, X.; Chen, D.; Kuang, B.; Zhang, C.; Cheng, C. Is high-tech zone a policy trap or a growth drive? Insights from the perspective of urban land use efficiency. Land Use Policy 2020, 95, 104583. [Google Scholar] [CrossRef]
- Gao, X.; Zhang, A.; Sun, Z. How regional economic integration influence on urban land use efficiency? A case study of Wuhan metropolitan area, China. Land Use Policy 2020, 90, 104329. [Google Scholar] [CrossRef]
- Zhao, J.; Zhu, D.; Cheng, J.; Jiang, X.; Lun, F.; Zhang, Q. Does regional economic integration promote urban land use efficiency? Evidence from the Yangtze River Delta, China. Habitat Int. 2021, 116, 102404. [Google Scholar] [CrossRef]
- Bontenbal, M.; van Lindert, P. Transnational city-to-city cooperation: Issues arising from theory and practice. Habitat Int. 2009, 33, 131–133. [Google Scholar] [CrossRef]
- Shen, J. Not quite a twin city: Cross-boundary integration in Hong Kong and Shenzhen. Habitat Int. 2014, 42, 138–146. [Google Scholar] [CrossRef]
- Zhang, X.; Sun, Y. Investigating institutional integration in the contexts of Chinese city-regionalization: Evidence from Shenzhen–Dongguan–Huizhou. Land Use Policy 2019, 88, 104170. [Google Scholar] [CrossRef]
- Li, Y.; Wu, F.; Hay, I. City-region integration policies and their incongruous outcomes: The case of Shantou-Chaozhou-Jieyang city-region in east Guangdong Province, China. Habitat Int. 2015, 46, 214–222. [Google Scholar] [CrossRef]
- Douglass, M. From global intercity competition to cooperation for livable cities and economic resilience in Pacific Asia. Environ. Urban. 2002, 14, 53–68. [Google Scholar] [CrossRef]
- Zhang, X.; Shen, J.; Gao, X. Towards a comprehensive understanding of intercity cooperation in China’s city-regionalization: A comparative study of Shenzhen-Hong Kong and Guangzhou-Foshan city groups. Land Use Policy 2021, 103, 105339. [Google Scholar] [CrossRef]
- Asfaha, S.; Biadgleng, E.; Munoz Tellez, V. South-South Cooperation for Industrial Development; Social Science Research Network: Richester, NY, USA, 2007. [Google Scholar]
- Wu, F. China’s Emergent City-Region Governance: A New Form of State Spatial Selectivity through State-orchestrated Rescaling. Int. J. Urban Reg. Res. 2016, 40, 1134–1151. [Google Scholar] [CrossRef]
- Perkmann, M. Cross-Border Regions in Europe: Significance and Drivers of Regional Cross-Border Co-Operation. Eur. Urban Reg. Stud. 2003, 10, 153–171. [Google Scholar] [CrossRef] [Green Version]
- Zhang, X.; Guo, Q.-E.; Cheung, D.M.-W.; Zhang, T. Evaluating the institutional performance of the Pearl River Delta integration policy through intercity cooperation network analysis. Cities 2018, 81, 131–144. [Google Scholar] [CrossRef]
- Duranton, G.; Puga, D. Chapter 48—Micro-Foundations of Urban Agglomeration Economies. In Handbook of Regional and Urban Economics; Henderson, J.V., Thisse, J.-F., Eds.; Elsevier: Amsterdam, The Netherlands, 2004; Volume 4, pp. 2063–2117. [Google Scholar]
- Chan, R.C.K.; Xian, S. Assessing the incentives in regional city-to-city cooperation: A case study of Jiangyin–Jingjiang Industrial Park of Jiangsu Province in the Yangtze River Delta regionl. Asia Pac. Viewp. 2012, 53, 56–69. [Google Scholar] [CrossRef]
- Xian, S.; Chan, R.C.K.; Qi, Z. Booming provincial-led North–South City-to-city cooperation in China: A case study of Suzhou-Suqian Industrial Park of Jiangsu Province. Cities 2015, 46, 44–54. [Google Scholar] [CrossRef]
- Luo, X.; Shen, J. A study on inter-city cooperation in the Yangtze river delta region, China. Habitat Int. 2009, 33, 52–62. [Google Scholar] [CrossRef]
- Chen, Y.; Chen, Z.; Xu, G.; Tian, Z. Built-up land efficiency in urban China: Insights from the General Land Use Plan (2006–2020). Habitat Int. 2016, 51, 31–38. [Google Scholar] [CrossRef]
- Xie, X.; Fang, B.; Xu, H.; He, S.; Li, X. Study on the coordinated relationship between Urban Land use efficiency and ecosystem health in China. Land Use Policy 2021, 102, 105235. [Google Scholar] [CrossRef]
- Wu, C.; Wei, Y.D.; Huang, X.; Chen, B. Economic transition, spatial development and urban land use efficiency in the Yangtze River Delta, China. Habitat Int. 2017, 63, 67–78. [Google Scholar] [CrossRef]
- Zhang, J. Interjurisdictional competition for FDI: The case of China’s “development zone fever”. Reg. Sci. Urban Econ. 2011, 41, 145–159. [Google Scholar] [CrossRef]
- Wang, J. The economic impact of Special Economic Zones: Evidence from Chinese municipalities. J. Dev. Econ. 2013, 101, 133–147. [Google Scholar] [CrossRef]
- Huang, Z.; He, C.; Zhu, S. Do China’s economic development zones improve land use efficiency? The effects of selection, factor accumulation and agglomeration. Landsc. Urban Plan. 2017, 162, 145–156. [Google Scholar] [CrossRef]
- Balassa, B.; Toutjesdijk, A. Economic Integration Among Developing Countries. JCMS J. Common Mark. Stud. 1975, 14, 37–55. [Google Scholar] [CrossRef]
- Latham, A.; Layton, J. Social infrastructure and the public life of cities: Studying urban sociality and public spaces. Geogr. Compass 2019, 13, e12444. [Google Scholar] [CrossRef]
- Batley, R.; McLoughlin, C. The Politics of Public Services: A Service Characteristics Approach. World Dev. 2015, 74, 275–285. [Google Scholar] [CrossRef] [Green Version]
- Liu, Y.; Fan, P.; Yue, W.; Song, Y. Impacts of land finance on urban sprawl in China: The case of Chongqing. Land Use Policy 2018, 72, 420–432. [Google Scholar] [CrossRef]
- Zhou, Y.; Huang, X.; Xu, G.; Li, J. The coupling and driving forces between urban land expansion and population growth in Yangtze River Delta. Geogr. Res. 2016, 35, 313–324. [Google Scholar] [CrossRef]
- Martino, F.; Spoto, A. Social Network Analysis: A brief theoretical review and further perspectives in the study of Information Technology. PsychNology J. 2006, 4, 53–86. [Google Scholar] [CrossRef]
- Jinliao, H.; Xianpeng, W.; Gang, Z. Creative city networks: A social network analysis of a virtual community of designers in China. Cities 2022, 123, 103578. [Google Scholar] [CrossRef]
- Hui, E.C.M.; Li, X.; Chen, T.; Lang, W. Deciphering the spatial structure of China’s megacity region: A new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making. Cities 2020, 105, 102168. [Google Scholar] [CrossRef]
- Freeman, L.C. Centrality in social networks conceptual clarification. Soc. Netw. 1978, 1, 215–239. [Google Scholar] [CrossRef] [Green Version]
- Freeman, L.C.; Roeder, D.; Mulholland, R.R. Centrality in social networks: II. Experimental results. Soc. Netw. 1979, 2, 119–141. [Google Scholar] [CrossRef] [Green Version]
- Jiang, X.; Lu, X.; Liu, Q.; Chang, C.; Qu, L. The effects of land transfer marketization on the urban land use efficiency: An empirical study based on 285 cities in China. Ecol. Indic. 2021, 132, 108296. [Google Scholar] [CrossRef]
- Tone, K. A slacks-based measure of efficiency in data envelopment analysis. Eur. J. Oper. Res. 2001, 130, 498–509. [Google Scholar] [CrossRef] [Green Version]
- Tone, K. Dealing with undesirable outputs in DEA: A Slacks-Based Measure (SBM) approach. Nippon Opereshonzu Risachi Gakkai Shunki Kenkyu Happyokai Abus. 2004, 2004, 44–45. [Google Scholar] [CrossRef]
- Li, H.; Shi, J.-f. Energy efficiency analysis on Chinese industrial sectors: An improved Super-SBM model with undesirable outputs. J. Clean. Prod. 2014, 65, 97–107. [Google Scholar] [CrossRef]
- Li, H.; Fang, K.; Yang, W.; Wang, D.; Hong, X. Regional environmental efficiency evaluation in China: Analysis based on the Super-SBM model with undesirable outputs. Math. Comput. Model. 2013, 58, 1018–1031. [Google Scholar] [CrossRef]
- Huang, B.; Wu, B.; Barry, M. Geographically and Temporally Weighted Regression for Modeling Spatio-Temporal Variation in House Prices. Int. J. Geogr. Inf. Sci. 2010, 24, 383–401. [Google Scholar] [CrossRef]
- Wu, B.; Li, R.; Huang, B. A geographically and temporally weighted autoregressive model with application to housing prices. Int. J. Geogr. Inf. Sci. 2014, 28, 1186–1204. [Google Scholar] [CrossRef]
- Chu, H.-J.; Huang, B.; Lin, C.-Y. Modeling the spatio-temporal heterogeneity in the PM10-PM2.5 relationship. Atmos. Environ. 2015, 102, 176–182. [Google Scholar] [CrossRef]
Variable Types | Dimensions | Definitions |
---|---|---|
Input | Land | Urban area (km2) |
Labor | Proportion of employees in secondary and tertiary industries (%) | |
Capital | Total investment in fixed assets (10,000 Yuan) | |
Technology | Proportion of secondary and tertiary industries in GDP (%) | |
Output | Desirable output | Average salary of employees (Yuan) |
Park area per capita (m2) | ||
Undesirable output | Industrial wastewater discharge (10,000 t) | |
Industrial SO2 emissions (t) | ||
Industrial smoke/power/dust emissions (t) |
Variable Types | Variables | Mean | S.D. | Min | Max |
---|---|---|---|---|---|
Dependent variable | Urban land-use efficiency | 0.94 | 0.27 | 0.40 | 1.59 |
Independent variable | Number of news about regional cooperation | 41.40 | 25.76 | 6 | 120 |
Control variables | GDP per capita (Yuan) | 85,054.75 | 29,391.30 | 33,166.00 | 199,017.00 |
Proportion of fiscal expenditure in GDP (%) | 11.39 | 3.69 | 7.14 | 24.64 | |
Population density (Person/km2) | 821.67 | 409.09 | 411.80 | 2286.70 | |
Science expenditure (10,000 Yuan) | 354,797.34 | 601,108.78 | 21,057.00 | 3,417,109.00 |
Regression Types | AICc | R2 | Adjusted R2 | RSS |
---|---|---|---|---|
OLS | −19.5304 | 0.3721 | 0.3460 | 5.8581 |
TWR | −15.7549 | 0.3903 | 0.3653 | 5.7326 |
GTWR | −67.9987 | 0.7644 | 0.7547 | 2.2155 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Pan, L.; Hu, H.; Jing, X.; Chen, Y.; Li, G.; Xu, Z.; Zhuo, Y.; Wang, X. The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China. Land 2022, 11, 915. https://doi.org/10.3390/land11060915
Pan L, Hu H, Jing X, Chen Y, Li G, Xu Z, Zhuo Y, Wang X. The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China. Land. 2022; 11(6):915. https://doi.org/10.3390/land11060915
Chicago/Turabian StylePan, Lisha, Hangang Hu, Xin Jing, Yang Chen, Guan Li, Zhongguo Xu, Yuefei Zhuo, and Xueqi Wang. 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China" Land 11, no. 6: 915. https://doi.org/10.3390/land11060915
APA StylePan, L., Hu, H., Jing, X., Chen, Y., Li, G., Xu, Z., Zhuo, Y., & Wang, X. (2022). The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China. Land, 11(6), 915. https://doi.org/10.3390/land11060915