Research on the Coupling and Coordination of Land Use Efficiency and Land Ecological Security in Beijing-Tianjin-Hebei Urban Agglomeration

Research Article
Open access

Research on the Coupling and Coordination of Land Use Efficiency and Land Ecological Security in Beijing-Tianjin-Hebei Urban Agglomeration

Huitong Qiao 1*
  • 1 Ningbo University    
  • *corresponding author 360952823@qq.com
AEMPS Vol.189
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-80590-179-2
ISBN (Online): 978-1-80590-180-8

Abstract

To elucidate the dynamic equilibrium between urban land use efficiency (ULUE) and ecological carrying capacity (ECC) and to devise a bi-dimensional regulatory strategy that enhances economic performance while establishing ecological safeguards, this study employs panel data from the Beijing-Tianjin-Hebei (BTH) urban agglomeration spanning the period from 2014 to 2023. Utilizing the SBM-Undesirable model, comprehensive index method, and coupling coordination degree model to construct the ULUE and land ecological security index systems, we assess the spatiotemporal dynamics of ULUE-ECC coupling coordination within the BTH region. Results indicate a differentiated evolutionary trend among the 13 cities' coupling coordination indices from 2014-2023. Beijing and Langfang exhibited persistently high coupling coordination, while Tianjin and Shijiazhuang showed significant increases in coupling coordination. Conversely, cities like Tangshan and Hengshui experienced degradation in later stages. Spatially, regional coordination displays a "core-periphery" gradient, with central cities maintaining high-quality coordination while south-central Hebei and resource cities exhibit moderate dysfunction. Cross-sectional data from 2023 reveal an overall evolution toward higher-order coupling coordination, with an increased proportion of high-quality coordinated cities. However, localized ecological security risks are evident, exemplified by Tangshan's plummeting coupling coordination index, underscoring the staged imbalance between ULUE and ecological protection.

Keywords:

Land ecological security, Land use efficiency, Coupling harmonization

Qiao,H. (2025). Research on the Coupling and Coordination of Land Use Efficiency and Land Ecological Security in Beijing-Tianjin-Hebei Urban Agglomeration . Advances in Economics, Management and Political Sciences,189,1-9.
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References

[1]. Yang, Z. (2021). Land resources. Beijing: Economic Management Press.

[2]. 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.

[3]. Zitti, M., Ferrara, C., Perini, L., et al. (2015). Long-term urban growth and land use efficiency in Southern Europe: Implications for sustainable land management. Sustainability, 7(3), 3359-3385.

[4]. Masini, E., Tomao, A., Barbati, A., et al. (2019). Urban growth, land-use efficiency and local socioeconomic context: A comparative analysis of 417 metropolitan regions in Europe. Environmental Management, 63, 322-337.

[5]. Duan, H., Xie, L., Cui, B., et al. (2021). Comprehensive evaluation and spatial pattern analysis of land utilization efficiency in the core area of the national agricultural science and technology park. Journal of Shandong Agricultural University (Social Science Edition), 23(4), 76-83.

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[7]. Li, C., & Miao, M. (2017). Measurement of land use efficiency in the urban agglomeration in the middle reaches of the Yangtze River: Realistic mechanism and spatio-temporal differentiation. China Population-Resources and Environment, 27(12), 157-164.

[8]. Moarrab, Y., Salehi, E., Amiri, M. J., et al. (2021). Spatial-temporal assessment and modeling of ecological security based on land-use/cover changes: Case study of Lavasanat watershed. International Journal of Environmental Science and Technology, 1-16.

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[10]. Wang, W., & Li, M. (2020). Spatial and temporal changes of land ecological security in Hunan Province based on DPSIR. Journal of Ecology, 39(8), 2724-2736.

[11]. Zhang, X., Lv, M., Deng, Y., et al. (2021). Evaluation and analysis of land ecological security in Guangzhou based on EES model. Agriculture and Technology, 41(19), 93-96.

[12]. Wang, J., Yuan, W., & Liu, X. (2018). Time-series evaluation and prediction analysis of urban land ecological security in Harbin. Arid Zone Geography, 41(4), 885-892.

[13]. Huang, H., Liu, C., & Chen, C. (2013). Research on land ecological security evaluation based on ecological footprint. Research on Soil and Water Conservation, 20(1), 193-196, 201.

[14]. Su, Y., Liu, G., Zhao, J., et al. (2021). Evolution of land ecological security early warning measurements and spatial and temporal patterns in the Fen River Basin from 2006 to 2018. Soil and Water Conservation Bulletin, 41(1), 144-151.

[15]. Chen, Y., & Wang, J. (2020). Ecological security early-warning in central Yunnan Province, China, based on the gray model. Ecological Indicators, 111, 106000.

[16]. Li, C., & Nan, L. (2015). Dynamic evaluation of land ecological security and diagnosis of obstacle factors in Shaanxi Province. China Land Science, 29(4), 72-81.

[17]. Fan, Y., & Fang, C. (2020). Evolution process and obstacle factors of ecological security in western China: A case study of Qinghai Province. Ecological Indicators, 117, 106659.

[18]. Zhou, Y., Li, M., & Zhang, M. (2023). Research on the coupling and coordination of land use efficiency and land ecological security: Taking Guangdong Province as an example. Journal of Natural Science of Hunan Normal University, 46(03), 72-81.

[19]. Ma, C., Yang, R., Ke, X., et al. (2022). Construction and optimization of ecological security pattern in the Yangtze River Delta region based on the perspective of ecological pressure. Yangtze River Basin Resources and Environment, 31(1), 135-147.

[20]. Liang, L., Wang, Z., Fang, C., et al. (2019). Spatio-temporal differentiation and synergistic development pattern of urbanization and ecological environment in Beijing-Tianjin-Hebei city cluster. Journal of Ecology, 39(4), 1212-1225.

[21]. Wen, T., & Yang, S. (2025). Research on coupling and coordination of urban land use efficiency and land ecological security in Beijing-Tianjin-Hebei city cluster. Land and Natural Resources Research, (01), 1-7. https://doi.org/10.16202/j.cnki.tnrs.2025.01.001

[22]. Ye, X., Zou, C., Liu, G., et al.. (2018). Main contents and progress of ecological security pattern research. Journal of Ecology, 38(10), 3382-3392.

[23]. Qin, X., Lu, X., & Wu, C. (2014). Knowledge mapping of domestic ecological security research: An econometric analysis based on Citespace. Journal of Ecology, 34(13), 3693-3703.

[24]. Xiong, J. (2019). Several misunderstandings in the construction of the land ecological security evaluation index system. Land Resources Intelligence, 4, 22-26.

[25]. Han, C., Chen, Y., Cui, S., et al. (2022). Study on the relationship between economy and land ecological quality in the Yangtze River Economic Zone based on the coupled coordination model. Journal of Hubei University (Natural Science Edition), 44(3), 352-360.

[26]. Tone, K. (2007). Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach. Retrieved from http://sciencedinks.jp/east

[27]. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429-444.

[28]. Liao, C. (1999). Quantitative evaluation of harmonized development of environment and economy and its classification system: A case study of Pearl River Delta City Cluster. Tropical Geography, 2, 76-82.

[29]. Gu, Y., Zhou, H., & Huang, C. (2013). Research on the coupling relationship between low-carbon economic development and intensive land use in Wuhan. Land Resources Science and Technology Management, 30(2), 35-39.

Cite this article

Qiao,H. (2025). Research on the Coupling and Coordination of Land Use Efficiency and Land Ecological Security in Beijing-Tianjin-Hebei Urban Agglomeration . Advances in Economics, Management and Political Sciences,189,1-9.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume title: Proceedings of ICMRED 2025 Symposium: Effective Communication as a Powerful Management Tool

ISBN：978-1-80590-179-2(Print) / 978-1-80590-180-8(Online)
Editor：Lukas Vartiak
Conference website: https://2025.icmred.org/Bratislava.html
Conference date: 30 May 2025
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.189
ISSN：2754-1169(Print) / 2754-1177(Online)

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References

[1]. Yang, Z. (2021). Land resources. Beijing: Economic Management Press.

[2]. 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.

[3]. Zitti, M., Ferrara, C., Perini, L., et al. (2015). Long-term urban growth and land use efficiency in Southern Europe: Implications for sustainable land management. Sustainability, 7(3), 3359-3385.

[4]. Masini, E., Tomao, A., Barbati, A., et al. (2019). Urban growth, land-use efficiency and local socioeconomic context: A comparative analysis of 417 metropolitan regions in Europe. Environmental Management, 63, 322-337.

[5]. Duan, H., Xie, L., Cui, B., et al. (2021). Comprehensive evaluation and spatial pattern analysis of land utilization efficiency in the core area of the national agricultural science and technology park. Journal of Shandong Agricultural University (Social Science Edition), 23(4), 76-83.

[6]. Yang, Q., Duan, X., Ye, L., et al. (2014). Evaluation of urban land use efficiency based on SBM-Undesirable model: Taking 16 cities in the Yangtze River Delta region as an example. Resource Science, 36(4), 712-721.

[7]. Li, C., & Miao, M. (2017). Measurement of land use efficiency in the urban agglomeration in the middle reaches of the Yangtze River: Realistic mechanism and spatio-temporal differentiation. China Population-Resources and Environment, 27(12), 157-164.

[8]. Moarrab, Y., Salehi, E., Amiri, M. J., et al. (2021). Spatial-temporal assessment and modeling of ecological security based on land-use/cover changes: Case study of Lavasanat watershed. International Journal of Environmental Science and Technology, 1-16.

[9]. Wang, Y., Zhang, F., Chen, R., et al. (2021). Comprehensive evaluation of land ecological security in Urumqi. Arid Zone Geography, 44(2), 427-440.

[10]. Wang, W., & Li, M. (2020). Spatial and temporal changes of land ecological security in Hunan Province based on DPSIR. Journal of Ecology, 39(8), 2724-2736.

[11]. Zhang, X., Lv, M., Deng, Y., et al. (2021). Evaluation and analysis of land ecological security in Guangzhou based on EES model. Agriculture and Technology, 41(19), 93-96.

[12]. Wang, J., Yuan, W., & Liu, X. (2018). Time-series evaluation and prediction analysis of urban land ecological security in Harbin. Arid Zone Geography, 41(4), 885-892.

[13]. Huang, H., Liu, C., & Chen, C. (2013). Research on land ecological security evaluation based on ecological footprint. Research on Soil and Water Conservation, 20(1), 193-196, 201.

[14]. Su, Y., Liu, G., Zhao, J., et al. (2021). Evolution of land ecological security early warning measurements and spatial and temporal patterns in the Fen River Basin from 2006 to 2018. Soil and Water Conservation Bulletin, 41(1), 144-151.

[15]. Chen, Y., & Wang, J. (2020). Ecological security early-warning in central Yunnan Province, China, based on the gray model. Ecological Indicators, 111, 106000.

[16]. Li, C., & Nan, L. (2015). Dynamic evaluation of land ecological security and diagnosis of obstacle factors in Shaanxi Province. China Land Science, 29(4), 72-81.

[17]. Fan, Y., & Fang, C. (2020). Evolution process and obstacle factors of ecological security in western China: A case study of Qinghai Province. Ecological Indicators, 117, 106659.

[18]. Zhou, Y., Li, M., & Zhang, M. (2023). Research on the coupling and coordination of land use efficiency and land ecological security: Taking Guangdong Province as an example. Journal of Natural Science of Hunan Normal University, 46(03), 72-81.

[19]. Ma, C., Yang, R., Ke, X., et al. (2022). Construction and optimization of ecological security pattern in the Yangtze River Delta region based on the perspective of ecological pressure. Yangtze River Basin Resources and Environment, 31(1), 135-147.

[20]. Liang, L., Wang, Z., Fang, C., et al. (2019). Spatio-temporal differentiation and synergistic development pattern of urbanization and ecological environment in Beijing-Tianjin-Hebei city cluster. Journal of Ecology, 39(4), 1212-1225.

[21]. Wen, T., & Yang, S. (2025). Research on coupling and coordination of urban land use efficiency and land ecological security in Beijing-Tianjin-Hebei city cluster. Land and Natural Resources Research, (01), 1-7. https://doi.org/10.16202/j.cnki.tnrs.2025.01.001

[22]. Ye, X., Zou, C., Liu, G., et al.. (2018). Main contents and progress of ecological security pattern research. Journal of Ecology, 38(10), 3382-3392.

[23]. Qin, X., Lu, X., & Wu, C. (2014). Knowledge mapping of domestic ecological security research: An econometric analysis based on Citespace. Journal of Ecology, 34(13), 3693-3703.

[24]. Xiong, J. (2019). Several misunderstandings in the construction of the land ecological security evaluation index system. Land Resources Intelligence, 4, 22-26.

[25]. Han, C., Chen, Y., Cui, S., et al. (2022). Study on the relationship between economy and land ecological quality in the Yangtze River Economic Zone based on the coupled coordination model. Journal of Hubei University (Natural Science Edition), 44(3), 352-360.

[26]. Tone, K. (2007). Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach. Retrieved from http://sciencedinks.jp/east

[27]. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429-444.

[28]. Liao, C. (1999). Quantitative evaluation of harmonized development of environment and economy and its classification system: A case study of Pearl River Delta City Cluster. Tropical Geography, 2, 76-82.

[29]. Gu, Y., Zhou, H., & Huang, C. (2013). Research on the coupling relationship between low-carbon economic development and intensive land use in Wuhan. Land Resources Science and Technology Management, 30(2), 35-39.

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