create a website

Analysis of the Driving Mechanism of Urban Carbon Emission Correlation Network in Shandong Province Based on TERGM. (2024). Liu, Zhicheng ; Song, Jiekun ; Xiao, Huisheng.
In: Sustainability.
RePEc:gam:jsusta:v:16:y:2024:i:10:p:4233-:d:1396831.

Full description at Econpapers || Download paper

Cited: 0

Citations received by this document

Cites: 52

References cited by this document

Cocites: 20

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

    This document has not been cited yet.

References

References cited by this document

  1. Cai, H.; Wang, Z.; Zhu, Y. Understanding the structure and determinants of intercity carbon emissions association network in China. J. Clean. Prod. 2022, 352, 131535. [CrossRef]
    Paper not yet in RePEc: Add citation now
  2. Chen, B.; Xu, H.; Feng, L. Structural properties and evolution of global photovoltaic industry trade network. Environ. Sci. Pollut. Res. 2023, 30, 69580–69598. [CrossRef]
    Paper not yet in RePEc: Add citation now
  3. Desmarais, B.A.; Cranmer, S.J. Statistical mechanics of networks: Estimation and uncertainty. Phys. A Stat. Mech. Appl. 2012, 391, 1865–1876. [CrossRef]

  4. Dong, G.; Zhang, J.; Tian, L.; Chen, Y.; Zhang, M.; Nan, Z. Structural Properties Evolution and Influencing Factors of Global Virtual Water Scarcity Risk Transfer Network. Energies 2023, 16, 1436. [CrossRef]

  5. Dong, J.; Li, C. Structure characteristics and influencing factors of China’s carbon emission spatial correlation network: A study based on the dimension of urban agglomerations. Sci. Total Environ. 2022, 853, 158613. [CrossRef]
    Paper not yet in RePEc: Add citation now
  6. Dong, Q.; Zhou, J.; Du, Q. Analysis of the spatial correlation pattern of logistics carbon emission efficiency and its influencing factors: The case of China. Environ. Sci. Pollut. Res. 2024, 31, 11178–11191. [CrossRef]
    Paper not yet in RePEc: Add citation now
  7. Gan, J.; Zhang, D.; Guo, F.; Dong, E. Intensity of Tourism Economic Linkages in Chinese Land Border Cities and Network Characterization. Sustainability 2024, 16, 1843. [CrossRef]
    Paper not yet in RePEc: Add citation now
  8. Gao, J.; Yu, X. Factors Affecting the Evolution of Technical Cooperation among “Belt and Road Initiative” Countries Based on TERGMs and ERGMs. Sustainability 2022, 14, 1760. [CrossRef]
    Paper not yet in RePEc: Add citation now
  9. Gong, Y.; Sun, H.; Wang, Z.; Ding, C. Spatial correlation network pattern and evolution mechanism of natural gas consumption in China—Complex network-based ERGM model. Energy 2023, 285, 129400. [CrossRef]

  10. Guan, W.; Wang, Y.; Xu, S. Network structure and factors of China’s industrial carbon emission. Resour. Ind. 2023, 25, 40–49. (In Chinese)
    Paper not yet in RePEc: Add citation now
  11. Guo, F.; Wang, J.; Wang, F.; Kong, T.; Zhang, X.; Cheng, Z. Measuring the Development of Digital Financial Inclusion in China: Index compilation and spatial characteristics. Q. J. Econ. 2020, 19, 1401–1418. (In Chinese)
    Paper not yet in RePEc: Add citation now
  12. Guo, Y.; Zhao, B.; Zhang, H. The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective. Energy 2023, 263, 125912. [CrossRef]

  13. Guo, Y.; Zheng, R.; Zhang, H. Tantalum trade structural dependencies are what we need: A perspective on the industrial chain. Resour. Policy 2023, 82, 103469. [CrossRef]

  14. Hanneke, S.; Fu, W.; Xing, E.P. Discrete temporal models of social networks. Electron. J. Stat. 2010, 4, 585–605. [CrossRef]
    Paper not yet in RePEc: Add citation now
  15. He, Y.; Wei, Z.; Liu, G.; Zhou, P. Spatial network analysis of carbon emissions from the electricity sector in China. J. Clean. Prod. 2020, 262, 121193. [CrossRef]
    Paper not yet in RePEc: Add citation now
  16. Huo, T.; Cao, R.; Xia, N.; Hu, X.; Cai, W.; Liu, B. Spatial correlation network structure of China’s building carbon emissions and its driving factors: A social network analysis method. J. Environ. Manag. 2022, 320, 115808. [CrossRef]
    Paper not yet in RePEc: Add citation now
  17. Kao, X.; Wang, W.; Zhu, X.; Zhang, J. Spatial and temporal characteristics of coal consumption and carbon emissions in China. Environ. Sci. Pollut. Res. 2023, 30, 105770–105780. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  18. Leifeld, P.; Cranmer, S.J.; Desmarais, B.A. Temporal exponential random graph models with bTERGM: Estimation and bootstrap confidence intervals. J. Stat. Softw. 2018, 83, 1–36. [CrossRef]
    Paper not yet in RePEc: Add citation now
  19. Li, S.; Wu, Q.; Zheng, Y.; Sun, Q. Study on the Spatial Association and Influencing Factors of Carbon Emissions from the Chinese Construction Industry. Sustainability 2021, 13, 1728. [CrossRef]
    Paper not yet in RePEc: Add citation now
  20. Li, X.; Feng, D.; Li, J.; Zhang, Z. Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration. Sustainability 2019, 11, 1444. [CrossRef]

  21. Liao, Z.; Ruan, M. Commentary: Research on the spatial correlation network structure and influencing factors of carbon emissions in Chengdu-Chongqing urban agglomeration. Front. Energy Res. 2023, 11, 1280715.
    Paper not yet in RePEc: Add citation now
  22. Liu, C.; Tang, R.; Guo, Y.; Sun, Y.; Liu, X. Research on the Structure of Carbon Emission Efficiency and Influencing Factors in the Yangtze River Delta Urban Agglomeration. Sustainability 2022, 14, 6114. [CrossRef]
    Paper not yet in RePEc: Add citation now
  23. Liu, K.; Lin, B. Research on influencing factors of environmental pollution in China: A spatial econometric analysis. J. Clean. Prod. 2019, 206, 356–364. [CrossRef]
    Paper not yet in RePEc: Add citation now
  24. Liu, K.; Ni, Z.; Ren, M.; Zhang, X. Spatial Differences and Influential Factors of Urban Carbon Emissions in China under the Target of Carbon Neutrality. Int. J. Environ. Res. Public Health 2022, 19, 6427. [CrossRef]
    Paper not yet in RePEc: Add citation now
  25. Liu, S.; Yang, C.; Liu, L. Identifying spatial relations of industrial carbon emissions among provinces of China: Evidence from unsupervised clustering algorithms. Environ. Sci. Pollut. Res. 2022, 29, 77958–77972. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  26. Ma, F.; Wang, Y.; Yuen, K.F.; Wang, W.; Li, X.; Liang, Y. The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation: A Social Network Perspective. Int. J. Environ. Res. Public Health 2019, 16, 2154. [CrossRef]

  27. Ma, N.; Li, H.; Wang, Y.; Feng, S.; Shi, J.; Wang, K. Interaction pattern features and driving forces of intersectoral CO2 emissions in China: A network motif analysis. Resour. Conserv. Recycl. 2019, 149, 391–412. [CrossRef]
    Paper not yet in RePEc: Add citation now
  28. Ma, N.; Sun, W.; Wang, Z.; Li, H.; Ma, X.; Sun, H. The effects of different forms of FDI on the carbon emissions of multinational enterprises: A complex network approach. Energy Policy 2023, 181, 113731. [CrossRef]

  29. Ma, Y.; Sallan, J.M.; Lordan, O. Motif analysis of urban rail transit network. Phys. A Stat. Mech. Its Appl. 2023, 625, 129016. [CrossRef]
    Paper not yet in RePEc: Add citation now
  30. Miao, C.; Wan, Y.; Kang, M.; Xiang, F. Topological analysis, endogenous mechanisms, and supply risk propagation in the polycrystalline silicon trade dependency network. J. Clean. Prod. 2024, 439, 140657. [CrossRef]
    Paper not yet in RePEc: Add citation now
  31. Pan, A.; Xiao, T.; Dai, L. The structural change and influencing factors of carbon transfer network in global value chains. J. Environ. Manag. 2022, 318, 115558. [CrossRef] Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
    Paper not yet in RePEc: Add citation now
  32. Shi, X.; Huang, X.; Liu, H. Research on the Structural Features and Influence Mechanism of the Low-Carbon Technology Cooperation Network Based on Temporal Exponential Random Graph Model. Sustainability 2022, 14, 12341. [CrossRef]
    Paper not yet in RePEc: Add citation now
  33. Shu, Q.; Su, Y.; Li, H.; Li, F.; Zhao, Y.; Du, C. Study on the Spatial Structure and Drivers of Agricultural Carbon Emission Efficiency in Belt and Road Initiative Countries. Sustainability 2023, 15, 10720. [CrossRef]

  34. Wang, B. Investigating network structure of cross-regional environmental spillover effects and driving factors. J. Air Waste Manag. Assoc. 2020, 70, 243–252. [CrossRef]
    Paper not yet in RePEc: Add citation now
  35. Wang, B.; Zheng, Q.; Sun, A.; Bao, J.; Wu, D. Spatio-Temporal Patterns of CO2 Emissions and Influencing Factors in China Using ESDA and PLS-SEM. Mathematics 2021, 9, 2711. [CrossRef]
    Paper not yet in RePEc: Add citation now
  36. Wang, C.; Zhang, X.; Hu, X.; Sun, B.; Zhao, L.; Lim, M.K.; Zhao, Q.; Ghadimi, P. Evolution of structural characteristics and its determinants of global human hair waste trade network based on temporal exponential random graph model. Resour. Conserv. Recycl. 2024, 200, 107305. [CrossRef]
    Paper not yet in RePEc: Add citation now
  37. Wang, F.; Gao, M.; Liu, J.; Fan, W. The Spatial Network Structure of China’s Regional Carbon Emissions and Its Network Effect. Energies 2018, 11, 2706. [CrossRef]
    Paper not yet in RePEc: Add citation now
  38. Wang, H.; Lu, X.; Feng, L.; Yuan, Z.; Tang, Y.; Jiang, X. Dynamic change and evolutionary mechanism of city land leasing network—Taking the Yangtze River Delta region in China as an example. Land Use Policy 2023, 132, 106821. [CrossRef]

  39. Wang, L.; Zhang, M.; Song, Y. Research on the spatiotemporal evolution characteristics and driving factors of the spatial connection network of carbon emissions in China: New evidence from 260 cities. Energy 2024, 291, 130448. [CrossRef]

  40. Wang, W.; Liu, L.; Liao, H.; Wei, Y. Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries. Energy Policy 2021, 151, 112171. [CrossRef]

  41. Wang, Z.; Xie, W.; Zhang, C. Towards COP26 targets: Characteristics and influencing factors of spatial correlation network structure on U.S. carbon emission. Resour. Policy 2023, 81, 103285. [CrossRef]

  42. Wasserman, S.; Faust, K. Social network analysis: Methods and applications. Contemp. Sociol. 1994, 91, 219–220.
    Paper not yet in RePEc: Add citation now
  43. Wei, H.; Zheng, C. Spatial network structure and influencing factors of carbon emission intensity in Guangdong-Hong KongMacao greater bay area. Front. Environ. Sci. 2024, 12, 1380831. [CrossRef]
    Paper not yet in RePEc: Add citation now
  44. Xu, H.; Li, Y.; Zheng, Y.; Xu, X. Analysis of spatial associations in the energy-carbon emission efficiency of the transportation industry and its influencing factors: Evidence from China. Environ. Impact Assess. Rev. 2022, 97, 106905. [CrossRef] Sustainability 2024, 16, 4233 22 of 23
    Paper not yet in RePEc: Add citation now
  45. Yu, G.; Xiong, C.; Xiao, J.; He, D.; Peng, G. Evolutionary analysis of the global rare earth trade networks. Appl. Math. Comput. 2022, 430, 127249. [CrossRef]
    Paper not yet in RePEc: Add citation now
  46. Yuan, C.; Zhu, J.; Zhang, S.; Zhao, J.; Zhu, S. Analysis of the Spatial Correlation Network and Driving Mechanism of China’s Transportation Carbon Emission Intensity. Sustainability 2024, 16, 3086. [CrossRef] Sustainability 2024, 16, 4233 23 of 23
    Paper not yet in RePEc: Add citation now
  47. Zhang, D.; Yao, X. Analysis of spatial correlation networks of carbon emissions in emerging economies. Environ. Sci. Pollut. Res. 2023, 30, 87465–87482. [CrossRef]
    Paper not yet in RePEc: Add citation now
  48. Zhao, F.; Qian, S.; Zhao, X. Collaborative governance of carbon reduction in urban agglomerations in the China Yangtze River Economic Belt based on a spatial association network. Ecol. Indic. 2023, 154, 110663. [CrossRef]
    Paper not yet in RePEc: Add citation now
  49. Zhao, X.; Zhu, J. Impacts of two-way foreign direct investment on carbon emissions: From the perspective of environmental regulation. Environ. Sci. Pollut. Res. 2022, 29, 52705–52723.
    Paper not yet in RePEc: Add citation now
  50. Zheng, H.; Gao, X.; Sun, Q.; Han, X.; Wang, Z. The impact of regional industrial structure differences on carbon emission differences in China: An evolutionary perspective. J. Clean. Prod. 2020, 257, 120506. [CrossRef]
    Paper not yet in RePEc: Add citation now
  51. Zhou, K.; Yang, J.; Yang, T.; Ding, T. Spatial and temporal evolution characteristics and spillover effects of China’s regional carbon emissions. J. Environ. Manag. 2023, 325, 116423. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  52. Zhu, E.; Qi, Q.; Chen, L.; Wu, X. The spatial-temporal patterns and multiple driving mechanisms of carbon emissions in the process of urbanization: A case study in Zhejiang, China. J. Clean. Prod. 2022, 358, 131954. [CrossRef]
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Dynamics and drivers of global secondhand clothing trade: Implications for sustainable energy and circular economy in fashion. (2025). Xu, Yuanhong ; Chang, Ping-Chen ; Ghadimi, Pezhman ; Wang, Chao ; Zhang, Xuemei ; Hu, Xiaoqian ; Lim, Ming K.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:209:y:2025:i:c:s1364032124008426.

    Full description at Econpapers || Download paper

  2. A convolutional block multi-attentive fusion network for underground natural gas micro-leakage detection of hyperspectral and thermal data. (2025). Wang, Xinda ; Jiang, Jinbao ; Xiong, Kangni ; Li, Kangning.
    In: Energy.
    RePEc:eee:energy:v:319:y:2025:i:c:s0360544225005122.

    Full description at Econpapers || Download paper

  3. Structural Dynamics of Inter-city Innovation Networks in China: A Perspective From TERGM. (2024). Scherngell, Thomas ; Gao, Yujie ; Zinilli, Antonio.
    In: Networks and Spatial Economics.
    RePEc:kap:netspa:v:24:y:2024:i:3:d:10.1007_s11067-024-09634-2.

    Full description at Econpapers || Download paper

  4. Study on the Evolution of SCO Agricultural Trade Network Pattern and Its Influencing Mechanism. (2024). Wang, Dezhen ; Abula, Buwajian ; Youliwasi, Asiyemu ; Yiming, Abulaiti ; Abudukeremu, Abudureyimu.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:18:p:7930-:d:1475791.

    Full description at Econpapers || Download paper

  5. Analysis of the Driving Mechanism of Urban Carbon Emission Correlation Network in Shandong Province Based on TERGM. (2024). Liu, Zhicheng ; Song, Jiekun ; Xiao, Huisheng.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:10:p:4233-:d:1396831.

    Full description at Econpapers || Download paper

  6. The correlation evolution and formation mechanism of energy ecological efficiency in China: A spatial network approach. (2024). Hu, Jin ; Jiang, Bing ; You, Jiansheng.
    In: Energy.
    RePEc:eee:energy:v:313:y:2024:i:c:s0360544224037496.

    Full description at Econpapers || Download paper

  7. Characterizing the spatial correlation network structure and impact mechanism of carbon emission efficiency: Evidence from Chinas transportation sector. (2024). Jiao, Dehan ; Zhao, Xiaolei ; Mao, Yumeng ; Li, Xuemei.
    In: Energy.
    RePEc:eee:energy:v:313:y:2024:i:c:s0360544224036648.

    Full description at Econpapers || Download paper

  8. The spatial pattern, driving factors and evolutionary trend of energy cooperation and consumption in the “Belt and Road Initiative” countries. (2024). Wen, Zongguo ; Zhang, Zechen ; Qian, Yuan ; Cao, Xin.
    In: Energy.
    RePEc:eee:energy:v:306:y:2024:i:c:s036054422402190x.

    Full description at Econpapers || Download paper

  9. Exploring the endogenous structure and evolutionary mechanism of the global coal trade network. (2024). Liu, Yuxin ; Pu, Yue.
    In: Energy Economics.
    RePEc:eee:eneeco:v:136:y:2024:i:c:s0140988324004183.

    Full description at Econpapers || Download paper

  10. Mapping analytical methods between input–output economics and network science. (2024). Qu, Shen ; Lian, Peng ; Xu, Ming ; Yu, KE.
    In: Journal of Industrial Ecology.
    RePEc:bla:inecol:v:28:y:2024:i:4:p:648-679.

    Full description at Econpapers || Download paper

  11. Dynamic change and evolutionary mechanism of city land leasing network—Taking the Yangtze River Delta region in China as an example. (2023). Yuan, Zhihang ; Tang, Yifeng ; Jiang, XU ; Lu, Xinhai ; Feng, Lianyue ; Wang, Hongzheng.
    In: Land Use Policy.
    RePEc:eee:lauspo:v:132:y:2023:i:c:s0264837723002879.

    Full description at Econpapers || Download paper

  12. The Dynamic Evolution of the Structure of an Urban Housing Investment Niche Network and Its Underlying Mechanisms: A Case Study of 35 Large and Medium-Sized Cities in China. (2022). Wang, Xianzhu ; Hu, Haiqing.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:6:p:3523-:d:773180.

    Full description at Econpapers || Download paper

  13. Preferential attachment, R&D expenditure and the evolution of international trade networks from the perspective of complex networks. (2022). Yan, Xiaofei ; Hu, Shi ; Shen, Mengyun ; Liu, Linqing ; Sun, DA.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:603:y:2022:i:c:s0378437122004009.

    Full description at Econpapers || Download paper

  14. Skill, syndication, and performance: Evidence from leveraged buyouts. (2020). Stanfield, Jared.
    In: Journal of Corporate Finance.
    RePEc:eee:corfin:v:65:y:2020:i:c:s0929119917305916.

    Full description at Econpapers || Download paper

  15. Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time. (2020). Lebacher, Michael ; Kauermann, Goran ; Fritz, Cornelius.
    In: Statistica Neerlandica.
    RePEc:bla:stanee:v:74:y:2020:i:3:p:275-299.

    Full description at Econpapers || Download paper

  16. Factors affecting evolution of the interprovincial technology patent trade networks in China based on exponential random graph models. (2019). Wu, Yu-Ying ; Zheng, Yao ; Dong, Yan-Bo ; Jiang, Guo-Rui.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:514:y:2019:i:c:p:443-457.

    Full description at Econpapers || Download paper

  17. Public orchestration, social networks, and transnational environmental governance: Lessons from the aviation industry. (2018). Ponte, Stefano ; Henriksen, Lasse Folke.
    In: Regulation & Governance.
    RePEc:wly:reggov:v:12:y:2018:i:1:p:23-45.

    Full description at Econpapers || Download paper

  18. Polarization in the social sciences: Assortative mixing in social science collaboration networks is resilient to interventions. (2018). Leifeld, Philip.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:507:y:2018:i:c:p:510-523.

    Full description at Econpapers || Download paper

  19. Affinity communities in United Nations voting: Implications for democracy, cooperation, and conflict. (2017). Cranmer, Skyler J ; Pauls, Scott D.
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:484:y:2017:i:c:p:428-439.

    Full description at Econpapers || Download paper

  20. Complex Dependencies in the Alliance Network. (2012). .
    In: Conflict Management and Peace Science.
    RePEc:sae:compsc:v:29:y:2012:i:3:p:279-313.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-09-21 03:39:28 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.