IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v379y2018icp22-38.html
   My bibliography  Save this article

Economy-pollution nexus model of cities at river basin scale based on multi-agent simulation: A conceptual framework

Author

Listed:
  • Gao, Yan
  • Liu, Gengyuan
  • Casazza, Marco
  • Hao, Yan
  • Zhang, Yan
  • Giannetti, Biagio F.

Abstract

Rapid urbanization greatly accelerated economic and social development in key river basins of China, but also created numerous environmental problems, from the local to the global scale, including increased air and water pollution and decreased water supply, local climate alteration and increased energy demands, as well as a major reduction in natural vegetation production and carbon storage/sequestration. The correlation analysis between urban economy and pollution transfer among cities in river basins has become one of highlights in current researches. Based on the Netlogo software platform, this paper establishes a correlation model among cities in the same river basin from the point of view of multi-agent simulation. Moreover, it assesses the relationship between urban economic development and pollution transfer from three aspects: network concentration; network size; link intensity. The influence of network concentration and link intensity on the total economic size and pollution transfer of the entire river basin is similar. In parallel, the influence of network size on the two modelled variables shows an opposite trend, demonstrating that network size has a greater impact on the city. By comparing the trend of economic size and pollution transfer with the change of network concentration in the context of different economic transfer thresholds, results demonstrate that, with the increase of network concentration, the influence becomes more pronounced. Appropriate error analysis was used to validate the simulation results. In particular, according to it, the error between 10-time and 20-time steps simulation is less than 10%. Consequently, the simulation results are valid. This paper, deepening the research on the correlation among river basin cities, lays the foundation for further research on the directional transmission of the economy and pollution.

Suggested Citation

  • Gao, Yan & Liu, Gengyuan & Casazza, Marco & Hao, Yan & Zhang, Yan & Giannetti, Biagio F., 2018. "Economy-pollution nexus model of cities at river basin scale based on multi-agent simulation: A conceptual framework," Ecological Modelling, Elsevier, vol. 379(C), pages 22-38.
  • Handle: RePEc:eee:ecomod:v:379:y:2018:i:c:p:22-38
    DOI: 10.1016/j.ecolmodel.2018.04.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380018301157
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2018.04.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Gengyuan & Casazza, Marco & Tian, Xin & Zhang, Yan & Hao, Yan & Zhang, Lixiao & Liang, Sai & Giannetti, Biagio F., 2017. "Tracing the inter-regional coal flows and environmental impacts in Jing-Jin-Ji region," Ecological Modelling, Elsevier, vol. 364(C), pages 98-112.
    2. Dame, James K. & Christian, Robert R., 2008. "Evaluation of ecological network analysis: Validation of output," Ecological Modelling, Elsevier, vol. 210(3), pages 327-338.
    3. Barabási, Albert-László & Ravasz, Erzsébet & Vicsek, Tamás, 2001. "Deterministic scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(3), pages 559-564.
    4. Liu, Gengyuan & Yang, Zhifeng & Chen, Bin & Zhang, Lixiao & Zhang, Yan & Su, Meirong, 2015. "An Ecological Network Perspective in Improving Reserve Design and Connectivity: A Case Study of Wuyishan Nature Reserve in China," Ecological Modelling, Elsevier, vol. 306(C), pages 185-194.
    5. Okadera, Tomohiro & Watanabe, Masataka & Xu, Kaiqin, 2006. "Analysis of water demand and water pollutant discharge using a regional input-output table: An application to the City of Chongqing, upstream of the Three Gorges Dam in China," Ecological Economics, Elsevier, vol. 58(2), pages 221-237, June.
    6. Biswas, Amit K. & Farzanegan, Mohammad Reza & Thum, Marcel, 2012. "Pollution, shadow economy and corruption: Theory and evidence," Ecological Economics, Elsevier, vol. 75(C), pages 114-125.
    7. Han, Tianfang & Zhang, Chuntao & Sun, Yan & Hu, Xiaomin, 2017. "Study on environment-economy-society relationship model of Liaohe River Basin based on multi-agent simulation," Ecological Modelling, Elsevier, vol. 359(C), pages 135-145.
    8. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    9. Zhang, Yan & Lu, Hanjing & Fath, Brian D. & Zheng, Hongmei, 2016. "Modelling urban nitrogen metabolic processes based on ecological network analysis: A case of study in Beijing, China," Ecological Modelling, Elsevier, vol. 337(C), pages 29-38.
    10. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    11. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xin Jin & Chunwu Chen & Min Zhang, 2022. "Research on Synergy between Entrepreneurial Service and Financial Support in Crowd Innovation Space Ecosystem," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    2. Xinghua Fan & Xuxia Li & Jiuli Yin, 2019. "Impact of environmental tax on green development: A nonlinear dynamical system analysis," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-23, September.
    3. Farhad Taghizadeh-Hesary & Farzad Taghizadeh-Hesary, 2020. "The Impacts of Air Pollution on Health and Economy in Southeast Asia," Energies, MDPI, vol. 13(7), pages 1-15, April.
    4. Aamir Mehmood Shah & Gengyuan Liu & Fanxin Meng & Qing Yang & Jingyan Xue & Stefano Dumontet & Renato Passaro & Marco Casazza, 2021. "A Review of Urban Green and Blue Infrastructure from the Perspective of Food-Energy-Water Nexus," Energies, MDPI, vol. 14(15), pages 1-24, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    2. Myriam BEN SAAD, 2017. "L’effet de la complexité économique sur la pollution de l’air : une autre approche de la courbe environnementale de Kuznets," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 46, pages 21-41.
    3. Zhu, Xueting & Mu, Xianzhong & Hu, Guangwen, 2019. "Ecological network analysis of urban energy metabolic system—A case study of Beijing," Ecological Modelling, Elsevier, vol. 404(C), pages 36-45.
    4. Yu, Yadong & Ren, Hongtao & Kharrazi, Ali & Ma, Tieju & Zhu, Bing, 2015. "Exploring socioeconomic drivers of environmental pressure on the city level: The case study of Chongqing in China," Ecological Economics, Elsevier, vol. 118(C), pages 123-131.
    5. Nguyen, Canh Phuc & Nguyen, Binh Quang, 2023. "Environmental foe or friend: The influence of the shadow economy on forest land," Land Use Policy, Elsevier, vol. 124(C).
    6. Isaac Ketu & Arsene Mouongue Kelly & Jules-Eric Tchapchet Tchouto, 2024. "Does economic complexity reduce the size of the shadow economy in African countries?," SN Business & Economics, Springer, vol. 4(1), pages 1-27, January.
    7. Kucukvar, Murat & Cansev, Bunyamin & Egilmez, Gokhan & Onat, Nuri C. & Samadi, Hamidreza, 2016. "Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries," Applied Energy, Elsevier, vol. 184(C), pages 889-904.
    8. Myriam Ben Saad, 2017. "L'effet de la complexité économique sur la pollution de l'air : une autre approche de la courbe environnementale de Kuznets," Post-Print hal-03426712, HAL.
    9. Chuang Tu & Xianzhong Mu & Yufeng Wu & Yifan Gu & Guangwen Hu, 2022. "Heterogenous impacts of components in urban energy metabolism: evidences from gravity model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10089-10117, August.
    10. Balland, Pierre-Alexandre & Boschma, Ron, 2022. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Research Policy, Elsevier, vol. 51(10).
    11. Milessi, Andrés C. & Danilo, Calliari & Laura, Rodríguez-Graña & Daniel, Conde & Javier, Sellanes & Rodríguez-Gallego, Lorena, 2010. "Trophic mass-balance model of a subtropical coastal lagoon, including a comparison with a stable isotope analysis of the food-web," Ecological Modelling, Elsevier, vol. 221(24), pages 2859-2869.
    12. Kumar, Sanjesh & Singh, Baljeet, 2019. "Barriers to the international diffusion of technological innovations," Economic Modelling, Elsevier, vol. 82(C), pages 74-86.
    13. Kjetil Bjorvatn & Mohammad Reza Farzanegan, 2014. "Resource Rents, Power, and Political Stability," CESifo Working Paper Series 4727, CESifo.
    14. Colin Wessendorf & Alexander Kopka & Dirk Fornahl, 2021. "The impact of the six European Key Enabling Technologies (KETs) on regional knowledge creation," Papers in Evolutionary Economic Geography (PEEG) 2127, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
    15. Thorvaldur Gylfason, 2019. "Inequality Undermines Democracy and Growth," CESifo Working Paper Series 7486, CESifo.
    16. Boubaker, Sabri & Liu, Pei-Zhi & Ren, Yi-Shuai & Ma, Chao-Qun, 2024. "Do anti-corruption campaigns affect corporate environmental responsibility? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 91(C).
    17. Qiliang Mao & Xianzhuang Mao, 2021. "Cultural barriers, institutional distance, and spatial spillovers: Evidence from regional industrial evolution in China," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1440-1481, September.
    18. Andrea Flori & Fabrizio Lillo & Fabio Pammolli & Alessandro Spelta, 2021. "Better to stay apart: asset commonality, bipartite network centrality, and investment strategies," Annals of Operations Research, Springer, vol. 299(1), pages 177-213, April.
    19. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    20. Kazemzadeh, Emad & Fuinhas, José Alberto & Koengkan, Matheus & Shadmehri, Mohammad Taher Ahmadi, 2023. "Relationship between the share of renewable electricity consumption, economic complexity, financial development, and oil prices: A two-step club convergence and PVAR model approach," International Economics, Elsevier, vol. 173(C), pages 260-275.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:379:y:2018:i:c:p:22-38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.