Coupling of water-land resources and water governance in China’s Poyang Lake Urban Agglomeration

    Xuhui Ding Info
    Yicong Shen Info
    Mo Chen Info
    Shenglin Ma Info
DOI: https://doi.org/10.3846/jeelm.2026.27251

Abstract

The scientific and efficient use of water and land resources is an inevitable requirement for China’s ecological civilization and achieve high-quality development. Investigating the spatiotemporal evolution of the utilisation efficiency of water and land resources in the Poyang Lake Urban Agglomeration, as well as the factors influencing water environment governance, can provide strategic support for the coordinated development of these resources in this urban agglomeration. This study examines the non-desired output Super-SBM model and the coupling coordination degree model to examine the spatiotemporal evolution of water and land resource utilization efficiency in the Poyang Lake Urban Agglomeration from 2009 to 2022. The results show that the efficiency of the utilization of water and land resources increased with spatial heterogeneity. The coupling coordination degree evolved from impending imbalance to medium-level coordination, with a spatial pattern of “high in the east and low in the west”. Urbanization, land resource utilization efficiency, and foreign investment positively affect water resource utilization efficiency, while industrial structure, agricultural mechanization, and economic development level have negative impacts. The negative effect of R&D expenditure and the positive effect of grade highway construction have a lag effect. Overall, although the mean coupling-coordination degree improved, it remained between “marginal” and “primary” coordination, indicating modest rather than high-quality synergy. This study therefore propose efficiency-based zoning and cross-city spillover compensation as replicable tools for other lake-type urban agglomerations.

Keywords:

Super-SBM model, coupling coordination degree, standard deviation ellipse, influencing factors, Poyang Lake Urban Agglomeration

How to Cite

Ding, X., Shen, Y., Chen, M., & Ma, S. (2026). Coupling of water-land resources and water governance in China’s Poyang Lake Urban Agglomeration. Journal of Environmental Engineering and Landscape Management, 34(2), 217–234. https://doi.org/10.3846/jeelm.2026.27251

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July 16, 2026
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References

Akhtar, N., Syakir Ishak, M. I., Bhawani, S. A., & Umar, K. (2021). Various natural and anthropogenic factors responsible for water quality degradation: A review. Water, 13(19), Article 2660. https://doi.org/10.3390/w13192660

Al-ossmi, L. H. (2024). Land tenure administration in Iraq: Quantitative analysis and a comprehensive evaluation. Land Use Policy, 141, Article 107092. https://doi.org/10.1016/j.landusepol.2024.107092

Anser, M. K., Ali, S., Umair, M., Javid, R., & Mirzaliev, S. (2024). Energy consumption, technological innovation, and economic growth in BRICS: A GMM panel VAR framework analysis. Energy Strategy Reviews, 56, Article 101587. https://doi.org/10.1016/j.esr.2024.101587

Bai, Y., Ochuodho, T. O., & Yang, J. (2019). Impact of land use and climate change on water-related ecosystem services in Kentucky, USA. Ecological Indicators, 102, 51–64. https://doi.org/10.1016/j.ecolind.2019.01.079

Belton, B., Win, M. T., Zhang, X., & Filipski, M. (2021). The rapid rise of agricultural mechanization in Myanmar. Food Policy, 101, Article 102095. https://doi.org/10.1016/j.foodpol.2021.102095

Bu, Z., Mo, D., Sun, Y., Zhang, L., Zhu, Y., Duan, X., Nian, L., Tang, Y., Ye, C., & Cao, J. (2026). Dynamic accumulation and co-occurrence of phthalates and squalene in settled dust: Implications for assessing indoor phthalate homology and exposures. Environmental Science: Processes & Impacts, 28(6), 1721–1732. https://doi.org/10.1039/D6EM00265J

Chen, X., & Yang, L. (2019). Temperature and industrial output: Firm-level evidence from China. Journal of Environmental Economics and Management, 95, 257–274. https://doi.org/10.1016/j.jeem.2017.07.009

Cheng, Z., He, J., Liu, Y., Zhang, Q., & Deng, Y. (2023). Exploring the spatial structure and impact factors of water use efficiency in China. Environmental Impact Assessment Review, 103, Article 107258. https://doi.org/10.1016/j.eiar.2023.107258

de Mello, K., Valente, R. A., Randhir, T. O., dos Santos, A. C., & Vettorazzi, C. A. (2018). Effects of land use and land cover on water quality of low-order streams in Southeastern Brazil: Watershed versus riparian zone. Catena, 167, 130–138. https://doi.org/10.1016/j.catena.2018.04.027

Fei, R., & Lin, B. (2016). Energy efficiency and production technology heterogeneity in China’s agricultural sector: A meta-frontier approach. Technological Forecasting and Social Change, 109, 25–34. https://doi.org/10.1016/j.techfore.2016.05.012

Fitton, N., Alexander, P., Arnell, N., Bajzelj, B., Calvin, K., Doelman, J., Gerber, J. S., Havlik, P., Hasegawa, T., Herrero, M., Krisztin, T., van Meijl, H., Powell, T., Sands, R., Stehfest, E., West, P. C., & Smith, P. (2019). The vulnerabilities of agricultural land and food production to future water scarcity. Global Environmental Change, 58, Article 101944. https://doi.org/10.1016/j.gloenvcha.2019.101944

Freeman, L. A., Corbett, D. R., Fitzgerald, A. M., Lemley, D. A., Quigg, A., & Steppe, C. N. (2019). Impacts of urbanization and development on estuarine ecosystems and water quality. Estuaries and Coasts, 42(7), 1821–1838. https://doi.org/10.1007/s12237-019-00597-z

Gu, Y., Chen, J., Ji, J., & Deng, M. (2024). The impacts of water ecological carrying capacity on green total factor productivity: The case of chemical industry in Jiangsu, China. SAGE Open, 14(2), 1–17. https://doi.org/10.1177/21582440241242665

Guo, B., Wang, Y., Zhang, H., Liang, C., Feng, Y., & Hu, F. (2023). Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities. Economic Modelling, 120, Article 106194. https://doi.org/10.1016/j.econmod.2023.106194

He, Y., Zhu, Z., Xie, H., Zhang, X., & Sheng, M. (2023). A case study in China of the influence mechanism of industrial park efficiency using DEA. Environment, Development and Sustainability, 25(7), 7261–7280. https://doi.org/10.1007/s10668-022-02290-x

Hua, Y., & Tong, T. (2025). Renewable energy integration in the Belt and Road Initiative: Government expenditure, green finance, and economic growth. Renewable Energy, 123980. https://doi.org/10.1016/j.renene.2025.123980

Jin, K. (2012). Industrial structure and capital flows. American Economic Review, 102(5), 2111–2146. https://doi.org/10.1257/aer.102.5.2111

Kim, D. H., Lin, S. C., & Suen, Y. B. (2013). Investment, trade openness and foreign direct investment: Social capability matters. International Review of Economics & Finance, 26, 56–69. https://doi.org/10.1016/j.iref.2012.08.008

Lei, X., & He, S. (2025). Climate shocks and innovation persistence: Evidence from extreme precipitation. Humanities and Social Sciences Communications, 12(1), 1–14. https://doi.org/10.1057/s41599-025-05229-5

Li, H., Fang, K., Yang, W., Wang, D., & Hong, X. (2013). Regional environmental efficiency evaluation in China: Analysis based on the Super-SBM model with undesirable outputs. Mathematical and Computer Modelling, 58(5–6), 1018–1031. https://doi.org/10.1016/j.mcm.2012.09.007

Liu, H., Cong, R., Liu, L., Li, P., & Ma, S. (2026). The impact of digital transformation on innovation efficiency in construction enterprises under the dual carbon background. Journal of Asian Architecture and Building Engineering, 25(3), 2358–2375. https://doi.org/10.1080/13467581.2025.2499723

Liu, H., Rodgers, M. O., & Guensler, R. (2019). The impact of road grade on vehicle accelerations behavior, PM2. 5 emissions, and dispersion modeling. Transportation Research Part D: Transport and Environment, 75, 297–319. https://doi.org/10.1016/j.trd.2019.09.006

Lü, S., Lü, C., Liu, P., Zhao, H., & Wang, F. (2024). Regional water cycle health evaluation and obstacle factor analysis: A case study of the Yellow River basin in Henan Province, China. Ecological Indicators, 166, Article 112500. https://doi.org/10.1016/j.ecolind.2024.112500

Ma, S., & Appolloni, A. (2025). Can financial flexibility enhance corporate green innovation performance? Evidence from an ESG approach in China. Journal of Environmental Management, 387, Article 125869. https://doi.org/10.1016/j.jenvman.2025.125869

Ma, S., Benkraiem, R., Abedin, M. Z., & Zeng, H. (2025a). Climate anomalies and corporate environmental governance: Empirical evidence from ENSO events. Finance Research Letters, 85, Article 107970. https://doi.org/10.1016/j.frl.2025.107970

Ma, S., Wen, L., & Yuan, Y. (2024). Study on the coupled and coordinated development of tourism, urbanization and ecological environment in Shanxi Province. Global NEST Journal, 26(4), 1–9. https://doi.org/10.30955/gnj.005907

Ma, S., Zeng, H., & Abedin, M. Z. (2025b). The impact of the reforms in the Chinese equities exchange and quotations on innovation in cross-border e-commerce enterprises. Asia Pacific Business Review, 1–41. https://doi.org/10.1080/13602381.2025.2510509

Pan, D., & Ying, R. Y. (2013). Evaluation methods and empirical analysis of China’s agricultural ecological efficiency: A non-desirable output SBM model analysis. Acta Ecologica Sinica, 33(12), 3837–3845. https://doi.org/10.5846/stxb201207080953

Paranina, А. N., & Paranin, R. V. (2017). Information in geographical space as the basis of cross-disciplinary researches in culture geography. European Journal of Geography, 8(3), 67–77.

Peng, B., Chen, H., Elahi, E., & Wei, G. (2020). Study on the spatial differentiation of environmental governance performance of Yangtze river urban agglomeration in Jiangsu province of China. Land Use Policy, 99, Article 105063. https://doi.org/10.1016/j.landusepol.2020.105063

Qu, B., Jiang, E., Li, J., Liu, Y., & Liu, C. (2024). Coupling coordination relationship of water resources, eco-environment and socio-economy in the water-receiving area of the Lower Yellow River. Ecological Indicators, 160, Article 111766. https://doi.org/10.1016/j.ecolind.2024.111766

Quintas-Soriano, C., Castro, A. J., Castro, H., & Garcia-Llorente, M. (2016). Impacts of land use change on ecosystem services and implications for human well-being in Spanish drylands. Land Use Policy, 54, 534–548. https://doi.org/10.1016/j.landusepol.2016.03.011

Rahman, M. M., & Alam, K. (2021). Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh. Renewable Energy, 172, 1063–1072. https://doi.org/10.1016/j.renene.2021.03.103

Ruan, Y., Wang, W., Abubakar, M., & Ahmad, N. (2025). Global economic resilience: Developing green growth strategies, renewable energy integration, and environmental economics for sustainability. Renewable Energy, 251, Article 123341. https://doi.org/10.1016/j.renene.2025.123341

Sokolov-Mladenović, S., Cvetanović, S., & Mladenović, I. (2016). R&D expenditure and economic growth: EU28 evidence for the period 2002–2012. Economic Research-Ekonomska Istraživanja, 29(1), 1005–1020. https://doi.org/10.1080/1331677X.2016.1211948

Sun, D., & Luo, Q. (2026). Green transition under carbon peak pressure: beyond greenwashing. Applied Economics, 1–17. https://doi.org/10.1080/00036846.2026.2635633

Sun, D., & Li, J. (2025). Carbon peaking pressure and corporate earnings management. International Review of Economics & Finance, 103, Article 104503. https://doi.org/10.1016/j.iref.2025.104503

Sun, D., & Li, Y. (2025). Carbon peaking pressure and corporate R&D investment. Economics Letters, 251, Article 112328. https://doi.org/10.1016/j.econlet.2025.112328

Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130, 498–509. https://doi.org/10.1016/S0377-2217(99)00407-5

Tone, K. (2002). A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1), 32–41. https://doi.org/10.1016/S0377-2217(01)00324-1

Tuoku, L., & Men, B. (2023). Evaluation of water resource use efficiency in Beijing-Tianjin-Hebei based on three-dimensional water ecological footprint. Ecological Indicators, 154, Article 110884. https://doi.org/10.1016/j.ecolind.2023.110884

Van Vuuren, D. P., Kriegler, E., O’Neill, B. C., Ebi, K. L., Riahi, K., Carter, T. R., Edmonds, J., Hallegatte, S., Kram, T., Mathur, R., & Winkler, H. (2014). A new scenario framework for climate change research: Scenario matrix architecture. Climatic Change, 122, 373–386. https://doi.org/10.1007/s10584-013-0906-1

Wang, M., Wang, C., Ali, S., Nazar, R., & Meo, M. S. (2025). Budgeting for bio-resilience: Unraveling the asymmetric impact of bioenergy technology budgets on environmental quality. Renewable Energy, 239, Article 122074. https://doi.org/10.1016/j.renene.2024.122074

Wang, Y. (2020). Urban land and sustainable resource use: Unpacking the countervailing effects of urbanization on water use in China, 1990–2014. Land Use Policy, 90, Article 104307. https://doi.org/10.1016/j.landusepol.2019.104307

Wang, Y., Zhao, J., Jeibo, L., & Yungho, C. (2025). Total quality management and hydrogen finance: Strengthening organizational legitimacy through procurement and innovation. Journal of Energy Storage, 128, Article 116901. https://doi.org/10.1016/j.est.2025.116901

Wang, Z., & Ma, S. (2024). Research on the impact of digital inclusive finance development on carbon emissions—Based on the double fixed effects model. Global NEST Journal, 26(7), 1–10. https://doi.org/10.30955/gnj.06227

Wu, Q., Jin, Y., & Ma, S. (2024). Impact of dual pilot policies for low-carbon and innovative cities on the high-quality development of urban economies. Global NEST Journal, 26(9), Article 06307.

Wu, Y., Wang, X., Xie, H., & Ma, S. (2025). How digital trade can reshape the trajectory of green and low-carbon development under the leadership of “dual-control” objectives. Global NEST Journal, 27(7), 1–16.

Xie, X., Fang, B., Xu, H., He, S., & Li, X. (2021). Study on the coordinated relationship between urban land use efficiency and ecosystem health in China. Land Use Policy, 102, Article 105235. https://doi.org/10.1016/j.landusepol.2020.105235

Xing, Y., & Jin, Y. Q. (2025). Evolutionary characteristics and identification of driving factors of the coupling coordination degree between the dual circulation development pattern and new-quality productive forces. Statistics and Decision, 41(7), 135–140.

Xu, H., & Jiao, M. (2021). City size, industrial structure and urbanization quality—A case study of the Yangtze River Delta urban agglomeration in China. Land Use Policy, 111, Article 105735. https://doi.org/10.1016/j.landusepol.2021.105735

Yan, S., & Wang, J. (2022). Does polycentric development improve green utilization efficiency of urban land? An empirical study based on panel threshold model approach. Land, 11(1), Article 124. https://doi.org/10.3390/land11010124

Yang, X., Fang, Z., Yin, L., Li, J., Lu, S., & Zhao, Z. (2019). Revealing the relationship of human convergence–divergence patterns and land use: A case study on Shenzhen City, China. Cities, 95, Article 102384. https://doi.org/10.1016/j.cities.2019.06.015

Yang, Z., Chen, H., Ma, C., Gao, X., Yang, C., Sun, W., & Wang, Y. (2024). A novel framework reveals anthropogenic stressors of phosphorus polluted river-lake connection water system in Poyang lake basin of China. Journal of Environmental Management, 370, Article 122794. https://doi.org/10.1016/j.jenvman.2024.122794

Yu, B. (2021). Ecological effects of new-type urbanization in China. Renewable and Sustainable Energy Reviews, 135, Article 110239. https://doi.org/10.1016/j.rser.2020.110239

Zhang, X., Li, G., Wu, R., Zeng, H., & Ma, S. (2025). Impact of carbon emissions, green energy, artificial intelligence and high-tech policy uncertainty on China’s financial market. Finance Research Letters, 82, Article 107599. https://doi.org/10.1016/j.frl.2025.107599

Zhao, J., Zhu, D., Cheng, J., Jiang, X., Lun, F., & Zhang, Q. (2021). Does regional economic integration promote urban land use efficiency? Evidence from the Yangtze River Delta, China. Habitat International, 116, Article 102404. https://doi.org/10.1016/j.habitatint.2021.102404

Zhao, L., Zhao, Z. Q., & Wang, W. (2014). Changes in the economic spatial pattern of the eastern coastal region of China. Economic Geography, 34(2), 14–18+27.

Zhao, R. Q., Li, Z. P., Han, Y. P., Kandlikar, M., Zhang, Z. P., & Ding, M. L. (2016). Analysis of the coupling mechanism of water-soil-energy-carbon in the region. Journal of Geography, 71(9), 1613–1628.

Zou, F., Ma, S., Liu, H., Gao, T., & Li, W. (2024). Do technological innovation and environmental regulation reduce carbon dioxide emissions? Evidence from China. Global NEST Journal, 26(7), 1–15. https://doi.org/10.30955/gnj.0629

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2026-07-16

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Ding, X., Shen, Y., Chen, M., & Ma, S. (2026). Coupling of water-land resources and water governance in China’s Poyang Lake Urban Agglomeration. Journal of Environmental Engineering and Landscape Management, 34(2), 217–234. https://doi.org/10.3846/jeelm.2026.27251

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