Construct the Framework for the Allocation of Resources Invested in Ecological Governance from the Urban–Rural Land Use Coupling
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Area and Data Source
2.2. Research Framework
2.3. Method
2.3.1. The Method of Urban-Rural Coupling
2.3.2. Location Quotient Method
3. Results
3.1. Urban–Rural Land Use Coupling
3.2. Regional Unbalanced Development
3.3. Analysis of Input Resources for Ecological Governance
4. Discussion
5. Conclusions
- (I)
- This study constructed a framework for the allocation of the resources invested in ecological governance from the perspective of the coupling relationship between urban and rural land use. The framework first applied the coupling model to quantify the urban–rural coupling relationship, and incorporated the Gini coefficient to judge the degree of inequality in urban ecological supply. Then, the allocation framework based on location quotient was used to redistribute the resources input in ecological governance, and the attribution of the responsibilities was made clear, which promoted regional fairness.
- (II)
- From the perspective of coupling, Taiwan’s overall urban–rural coupling is 8.3, which means that every hectare of land development in Taiwan requires 8.30 hectares of ecological land to meet development need. Additionally, the land use coupling in the urban area is only 1.5, while the coupling in the rural area is 15.85. This reflects that the urban area needs to heavily rely on the ecological resources provided by the rural area.
- (III)
- From the perspective of resource allocation, the urban area not only needs to solve the environmental problems in the urban area itself, but also needs to be responsible for the ecological governance of rural area, as well as the resource consumption of the external systems. The area with the largest outflow of funds to the external system is Taipei city. The results made clear the funds that the urban area needs to share for the ecological governance in different regions, realizing the purpose of resource redistribution and promoting the balanced development of the region.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Abu Hatab, A.; Cavinato, M.E.R.; Lindemer, A.; Lagerkvist, C.-J. Urban sprawl, food security and agricultural systems in developing countries: A systematic review of the literature. Cities 2019, 94, 129–142. [Google Scholar] [CrossRef]
- Li, Y.; Li, Y.; Westlund, H.; Liu, Y. Urban–rural transformation in relation to cultivated land conversion in China: Implications for optimizing land use and balanced regional development. Land Use Policy 2015, 47, 218–224. [Google Scholar] [CrossRef]
- Su, Q.; Chen, K.; Liao, L. The Impact of Land Use Change on Disaster Risk from the Perspective of Efficiency. Sustainability 2021, 13, 3151. [Google Scholar] [CrossRef]
- Han, M.Y.; Chen, G.Q.; Dunford, M. Land use balance for urban economy: A multi-scale and multi-type Perspective. Land Use Policy 2019, 83, 323–333. [Google Scholar] [CrossRef]
- Ma, L.; Liu, S.; Fang, F.; Che, X.; Chen, M. Evaluation of urban-rural difference and integration based on quality of life. Sustain. Cities Soc. 2020, 54, 101877. [Google Scholar] [CrossRef]
- Song, J.; Palmer, K.; Sun, B. Effects of inhaled nitric oxide and surfactant with extracorporeal life support in recovery phase of septic acute lung injury in piglets. Pulm. Pharmacol. Ther. 2010, 23, 78–87. [Google Scholar] [CrossRef]
- Lysgard, H.K. The assemblage of culture-led policies in small towns and rural communities. Geoforum 2019, 101, 10–17. [Google Scholar] [CrossRef]
- Veneri, P.; Ruiz, V. Urban-to-Rural Population Growth Linkages: Evidence from OECD Tl3 Regions. J. Reg. Sci. 2016, 56, 3–24. [Google Scholar] [CrossRef]
- Li, Y. Resource Flows and the Decomposition of Regional Inequality in the Beijing–Tianjin–Hebei Metropolitan Region, 1990–2004. Growth Chang. 2012, 43, 335–357. [Google Scholar] [CrossRef]
- Spyra, M.; La Rosa, D.; Zasada, I.; Sylla, M.; Shkaruba, A. Governance of ecosystem services trade-offs in peri-urban landscapes. Land Use Policy 2020, 95, 104617. [Google Scholar] [CrossRef]
- Ma, L.; Chen, M.; Fang, F.; Che, X. Research on the spatiotemporal variation of rural-urban transformation and its driving mechanisms in underdeveloped regions: Gansu Province in western China as an example. Sustain. Cities Soc. 2019, 50, 101675. [Google Scholar] [CrossRef]
- Yu, Y.; Feng, K.; Hubacek, K. Tele-connecting local consumption to global land use. Glob. Environ. Chang. 2013, 23, 1178–1186. [Google Scholar] [CrossRef]
- Chang, H.-S.; Su, Q. Exploring the coupling relationship of stormwater runoff distribution in watershed from the perspective of fairness. Urban Clim. 2021, 36, 100792. [Google Scholar] [CrossRef]
- Wang, L.; Zheng, W.; Tang, L.; Zhang, S.; Liu, Y.; Ke, X. Spatial optimization of urban land and cropland based on land production capacity to balance cropland protection and ecological conservation. J. Environ. Manag. 2021, 285, 112054. [Google Scholar] [CrossRef] [PubMed]
- Liu, H.; Huang, B.; Yang, C. Assessing the coordination between economic growth and urban climate change in China from 2000 to 2015. Sci. Total Environ. 2020, 732, 139283. [Google Scholar] [CrossRef]
- Wang, H.; Lu, X.; Deng, Y.; Sun, Y.; Nielsen, C.P.; Liu, Y.; Zhu, G.; Bu, M.; Bi, J.; McElroy, M.B. China’s CO2 peak before 2030 implied from characteristics and growth of cities. Nat. Sustain. 2019, 2, 748–754. [Google Scholar] [CrossRef]
- Zhu, C.; Zhang, X.; Wang, K.; Yuan, S.; Yang, L.; Skitmore, M. Urban–rural construction land transition and its coupling relationship with population flow in China’s urban agglomeration region. Cities 2020, 101, 102701. [Google Scholar] [CrossRef]
- Cai, J.; Li, X.; Liu, L.; Chen, Y.; Wang, X.; Lu, S. Coupling and coordinated development of new urbanization and agro-ecological environment in China. Sci. Total Environ. 2021, 776, 145837. [Google Scholar] [CrossRef]
- Liu, N.; Liu, C.; Xia, Y.; Da, B. Examining the coordination between urbanization and eco-environment using coupling and spatial analyses: A case study in China. Ecol. Indic. 2018, 93, 1163–1175. [Google Scholar] [CrossRef]
- Arnaiz-Schmitz, C.; Schmitz, M.F.; Herrero-Jáuregui, C.; Gutiérrez-Angonese, J.; Pineda, F.D.; Montes, C. Identifying socio-ecological networks in rural-urban gradients: Diagnosis of a changing cultural landscape. Sci. Total Environ. 2018, 612, 625–635. [Google Scholar] [CrossRef]
- Su, Q.; Chen, X. Efficiency analysis of metacoupling of water transfer based on the parallel data envelopment analysis model: A case of the South–North Water Transfer Project-Middle Route in China. J. Clean. Prod. 2021, 313, 127952. [Google Scholar] [CrossRef]
- Seto, K.C.; Golden, J.S.; Alberti, M.; Turner, B.L. Sustainability in an urbanizing planet. Proc. Natl. Acad. Sci. USA 2017, 114, 8935. [Google Scholar] [CrossRef] [PubMed]
- Lu, Y.; Zhang, Y.; Cao, X.; Wang, C.; Wang, Y.; Zhang, M.; Ferrier, R.C.; Jenkins, A.; Yuan, J.; Bailey, M.J.; et al. Forty years of reform and opening up: China’s progress toward a sustainable path. Sci. Adv. 2019, 5, eaau9413. [Google Scholar] [CrossRef] [PubMed]
- Huang, Q.; Huang, J.; Yang, X.; Fang, C.; Liang, Y. Quantifying the seasonal contribution of coupling urban land use types on Urban Heat Island using Land Contribution Index: A case study in Wuhan, China. Sustain. Cities Soc. 2019, 44, 666–675. [Google Scholar] [CrossRef]
- Land Surveying and Mapping Center. Land Use Survey Results; Land Surveying and Mapping Center: Taichung, Taiwan, 2018.
- Chen, D.; Lu, X.; Liu, X.; Wang, X. Measurement of the eco-environmental effects of urban sprawl: Theoretical mechanism and spatiotemporal differentiation. Ecol. Indic. 2019, 105, 6–15. [Google Scholar] [CrossRef]
- Zheng, W.; Ke, X.; Xiao, B.; Zhou, T. Optimising land use allocation to balance ecosystem services and economic benefits–A case study in Wuhan, China. J. Environ. Manag. 2019, 248, 109306. [Google Scholar] [CrossRef]
- Costanza, R.; d’Arge, R.; De Groot, R.; Farber, S.; Grasso, M.; Hannon, B.; Limburg, K.; Naeem, S.; O’neill, R.V.; Paruelo, J. The value of the world’s ecosystem services and natural capital. Nature 1997, 387, 253. [Google Scholar] [CrossRef]
- Statistics Consulting Network. Important Statistical Indicators of Taiwan’s Economic Output; Statistics Consulting Network: Taiwan, China, 2018. [Google Scholar]
- Cao, K.; Zhang, W.; Liu, S.; Huang, B.; Huang, W. Pareto law-based regional inequality analysis of PM2.5 air pollution and economic development in China. J. Environ. Manag. 2019, 252, 109635. [Google Scholar] [CrossRef]
- Morrissey, K. Producing regional production multipliers for Irish marine sector policy: A location quotient approach. Ocean Coast. Manag. 2014, 91, 58–64. [Google Scholar] [CrossRef]
- Executive Yuan. Compilation of Total Budgets of Municipalities and Counties (Cities); Executive Yuan: Taipei, Taiwan, 2019. [Google Scholar]
- Cai, G.; Zhang, J.; Du, M.; Li, C.; Peng, S. Identification of urban land use efficiency by indicator-SDG 11.3.1. PLoS ONE 2021, 15, e0244318. [Google Scholar] [CrossRef]
- Mitsuda, Y.; Ito, S. A review of spatial-explicit factors determining spatial distribution of land use/land-use change. Landsc. Ecol. Eng. 2011, 7, 117–125. [Google Scholar] [CrossRef]
- Chang, H.-S.; Man, C.-Y.; Su, Q. Research on the site selection of watershed public facilities as multi-use detention basin: An environmental efficiency perspective. Environ. Sci. Pollut. Res. 2021, 28, 38649–38663. [Google Scholar] [CrossRef] [PubMed]
- Chen, G.Q.; Han, M.Y. Virtual land use change in China 2002–2010: Internal transition and trade imbalance. Land Use Policy 2015, 47, 55–65. [Google Scholar] [CrossRef]
- Huang, J.; Tang, Z.; Liu, D.; He, J. Ecological response to urban development in a changing socio-economic and climate context: Policy implications for balancing regional development and habitat conservation. Land Use Policy 2020, 97, 104772. [Google Scholar] [CrossRef]
- Inostroza, L.; Hamstead, Z.; Spyra, M.; Qureshi, S. Beyond urban–rural dichotomies: Measuring urbanisation degrees in central European landscapes using the technomass as an explicit indicator. Ecol. Indic. 2019, 96, 466–476. [Google Scholar] [CrossRef]
- Chen, Q.; Taylor, D. Economic development and pollution emissions in Singapore: Evidence in support of the Environmental Kuznets Curve hypothesis and its implications for regional sustainability. J. Clean. Prod. 2020, 243, 118637. [Google Scholar] [CrossRef]
Forest Use | Agricultural Use | Water Use | Mineral and Salt Use | |
---|---|---|---|---|
Providing | 5721 | 2403 | 1036 | 2765 |
Regulating | 24,547 | 6654 | 75,711 | 0 |
Supporting | 14,745 | 4304 | 9818 | 35 |
Cultural | 3595 | 294 | 8107 | 0 |
Total | 48,609 | 13,655 | 94,672 | 2800 |
Coupling of Urban Area | Coupling of Rural Area | Coupling of Urban-Rural | |
---|---|---|---|
Kaohsiung city | 0.71 | 20.64 | 5.46 |
Hualien county | 1.27 | 55.54 | 33.50 |
Keelung city | 1.46 | 5.24 | 3.37 |
Chiayi county | 2.80 | 11.93 | 9.82 |
Miaoli county | 1.65 | 14.59 | 10.72 |
Nantou county | 2.33 | 28.01 | 24.53 |
Pingtung county | 1.72 | 13.61 | 10.24 |
Taitung county | 2.32 | 51.76 | 35.48 |
Tainan city | 1.49 | 8.16 | 4.34 |
Taichung city | 1.04 | 15.01 | 4.34 |
Taoyuan city | 1.27 | 10.42 | 2.54 |
Taipei city | 0.88 | 12.67 | 5.99 |
Hsinchu city | 0.49 | 2.36 | 1.05 |
Hsinchu county | 1.49 | 16.25 | 9.47 |
Yilan county | 1.53 | 23.87 | 17.89 |
Yunlin county | 2.35 | 5.65 | 4.99 |
Changhua county | 1.85 | 5.42 | 3.46 |
Taipei city | 1.10 | 0.00 | 1.10 |
Chiayi city | 0.82 | 0.00 | 0.82 |
Average coupling score | 1.50 | 15.85 | 8.30 |
Cost of Ecological Governance (Million Yuan) | |||
---|---|---|---|
Urban Area | Rural Area | External System | |
Kaohsiung city | 935.20 | 6222.30 | −2446.87 |
Hualien county | 17.84 | 451.31 | 1424.85 |
Keelung city | 461.15 | 604.02 | −632.95 |
Chiayi county | 29.62 | 74.10 | 19.06 |
Miaoli county | 73.68 | 404.81 | 139.74 |
Nantou county | 29.96 | 285.96 | 618.05 |
Pingtung county | 256.78 | 1268.64 | 357.23 |
Taitung county | 14.32 | 204.50 | 716.79 |
Tainan city | 1002.70 | 1926.29 | −1397.42 |
Taichung city | 1855.27 | 5851.48 | −3678.22 |
Taoyuan city | 2756.53 | 2773.45 | −3834.12 |
Taipei city | 2053.63 | 11,983.93 | −3901.26 |
Hsinchu city | 585.16 | 676.37 | −1101.78 |
Hsinchu county | 213.57 | 1143.44 | 191.43 |
Yilan county | 35.76 | 382.53 | 483.47 |
Yunlin county | 216.91 | 242.96 | −183.36 |
Changhua county | 157.09 | 136.82 | −171.20 |
Taipei city | 9884.01 | 0.00 | −8572.96 |
Chiayi city | 635.20 | 0.00 | −572.23 |
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Su, Q.; Wang, L. Construct the Framework for the Allocation of Resources Invested in Ecological Governance from the Urban–Rural Land Use Coupling. Forests 2022, 13, 1588. https://doi.org/10.3390/f13101588
Su Q, Wang L. Construct the Framework for the Allocation of Resources Invested in Ecological Governance from the Urban–Rural Land Use Coupling. Forests. 2022; 13(10):1588. https://doi.org/10.3390/f13101588
Chicago/Turabian StyleSu, Qingmu, and Linya Wang. 2022. "Construct the Framework for the Allocation of Resources Invested in Ecological Governance from the Urban–Rural Land Use Coupling" Forests 13, no. 10: 1588. https://doi.org/10.3390/f13101588
APA StyleSu, Q., & Wang, L. (2022). Construct the Framework for the Allocation of Resources Invested in Ecological Governance from the Urban–Rural Land Use Coupling. Forests, 13(10), 1588. https://doi.org/10.3390/f13101588