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Academic Journal of Environment & Earth Science, 2024, 6(4); doi: 10.25236/AJEE.2024.060403.

Ecological Network Analysis of the Economic Efficiency Based on Input-output Tables: A Case Study of Tianjin City, China

Author(s)

Ke Hu

Corresponding Author:
Ke Hu
Affiliation(s)

College of Business Administration, Zibo Vocational Institute, Zibo, 255300, China

Abstract

The ecological network analysis (ENA) method is introduced to assess the overall features of growth, development, and sustainability in the economic system at the city level, and is then applied to Tianjin City in the Beijing-Tianjin-Hebei metropolitan area of China. The economic network of Tianjin City from 1992–2017 is constructed and analyzed to describe the size, efficiency, relicense, and sustainability of system evolvement. The results are as follows (1) the long-term trend of the size indicator indicates that Tianjin City’s economic network grows exponentially at a high rate during the study period. During 1992-1997, the economy efficiency of Tianjin City improved, while its resilience declined. Between 1997 and 2017, there was no significant change in economic efficiency and resilience. The size growth is the main characteristic of the Tianjin economy during 1992-2017. (2) The quantitative result of the network analysis confirms that the growth in size and the development in efficiency contribute 59% and 41% to the Tianjin economy during 1992–2017, respectively. (3) The average value of the sustainability indicator (α) is 0.195 during the overall period, which is far less than the theoretical sustainability optimal value of 0.37. If the theoretical value of 0.37 is a suitable ratio for the human-influenced system, it would appear that the Tianjin economy needs to improve its efficiency to maintain a sustainable evolvement.

Keywords

ecological network analysis; economic system; efficiency; resilience; sustainability; Tianjin City

Cite This Paper

Ke Hu. Ecological Network Analysis of the Economic Efficiency Based on Input-output Tables: A Case Study of Tianjin City, China. Academic Journal of Environment & Earth Science (2024), Vol. 6, Issue 4: 15-25. https://doi.org/10.25236/AJEE.2024.060403.

References

[1] Kates, R W, Clark, W C. Our common journey: a transition toward sustainability[M].Washington DC, USA: National Academy Press [Online],1999.

[2] Clark, W C, Dickson, N M. Sustainability science: the emerging research program[C]. Proceedings of the National Academy of Sciences of the United States of America, 2003,100(14): 8059-8061.

[3] Bettencourt, L M A, Kaur, J. Evolution and structure of sustainability science[C]. Proceedings of the National Academy of Sciences of the United States of America, 2011, 108(49): 19540-19545.

[4] Azar, C, Holmberg, J, Lindgren, K. Socio-ecological indicators for sustainability[J]. Ecological Economics, 1996, 18(2): 89-112.

[5] Wackernagel, M, Onisto, L, Bello, P, et al. National natural capital accounting with the ecological footprint concept[J]. Ecological Economics, 1999, 29(3): 375-390.

[6] Brown, M T, Herendeen, R A. Embodied energy analysis and EMERGY analysis: a comparative view[J]. Ecological Economics, 1996, 19(3): 219-235.

[7] Egilmez, G, Kucukvar, M, Tatari, O. Sustainability assessment of U.S. manufacturing sectors: an economic input output-based frontier approach[J]. Journal of Cleaner Production, 2013, 53: 91-102.

[8] Huang, J, Ulanowicz, R E. Ecological network analysis for economic systems: growth and development and implications for sustainable development[J]. Plos One, 2014, 9(6): 1-8.

[9] Liang, J, Hu, K, Dai, T. Ecological network analysis quantifying the sustainability of regional economies: a case study of Guangdong Province in China[J]. Chinese Geographical Science, 2018, 28(1): 127-136.

[10] Ulanowicz, R E. Growth and development: ecosystems phenomenology[M]. New York, USA: Springer-Verlag, 1986.

[11] Fath, B D, Patten, B C. Review of the foundations of network environ analysis[J]. Ecosystems, 1999, 2(2): 167-179.

[12] Fath, B D, Scharler, U M, Ulanowicz, R E, et al. Ecological network analysis: network construction[J]. Ecological Modelling, 2007, 208(1): 49-55.

[13] Borrett, S R, Scharler, U M. Walk partitions of flow in Ecological Network Analysis: review and synthesis of methods and indicators[J]. Ecological Indicators, 2019, 106: 105451.

[14] Ulanowicz, R E, Goerner, S J, Lietaer, B, et al. Quantifying sustainability: resilience, efficiency and the return of information theory[J]. Ecological Complexity, 2009, 6(1): 27-36.

[15] Ulanowicz, R E. Ecology, the ascendent perspective[M]. New York, USA: Columbia University Press,1997.

[16] Borrett, S R, Moody, J, Edelmann, A. The rise of Network Ecology: maps of the topic diversity and scientific collaboration[J]. Ecological Modelling, 2014, 293: 111-127.

[17] Zhang, Y, Yang, Z, Yu, X. Ecological network and emergy analysis of urban metabolic systems: model development, and a case study of four Chinese cities[J]. Ecological Modelling, 2009, 220(11): 1431-1442.

[18] Yang, Z, Zhang, Y, Li, S, et al. Characterizing urban metabolic systems with an ecological hierarchy method, Beijing, China[J]. Landscape and Urban Planning, 2014, 121: 19-33.

[19] Dai, J, Fath, B, Chen, B. Constructing a network of the social-economic consumption system of China using extended exergy analysis[J]. Renewable and Sustainable Energy Reviews, 2012, 16(7): 4796-4808. 

[20] Zhang, Y, Liu, H, Li, Y, et al. Ecological network analysis of China’s societal metabolism[J]. Journal of environmental management, 2012, 93(1): 254-263.

[21] Saura, S, Estreguil, C, Mouton, C, et al. Network analysis to assess landscape connectivity trends: application to European forests (1990–2000)[J]. Ecological Indicators, 2011, 11(2): 407-416.

[22] De Montis, A, Ganciu, A, Cabras, M, et al. Comparative ecological network analysis: an application to Italy[J]. Land Use Policy, 2019, 81: 714-724.

[23] Li, Y, Chen, B, Yang, Z F. Ecological network analysis for water use systems—a case study of the Yellow River Basin[J]. Ecological Modelling, 2009, 220(22): 3163-3173.

[24] Li, Y, Yang, Z F. Quantifying the sustainability of water use systems: calculating the balance between network efficiency and resilience[J]. Ecological Modelling, 2011, 222(10): 1771-1780.

[25] Yang, S, Fath, B, Chen, B. Ecological network analysis of embodied particulate matter 2.5 – a case study of Beijing[J]. Applied Energy, 2016, 184: 882-888.

[26] Tian, G, Xia, Q, Wu, Z, et al. Ecological network analysis of industrial wastes metabolism based on input-output model for Jiangsu, China[J]. Waste Management, 2022, 143: 23-34.

[27] Templet, P H. Energy, diversity and development in economic systems; an empirical analysis[J]. Ecological Economics, 1999, 30(2): 223-233.

[28] Goerner, S J, Lietaer, B, Ulanowicz, R E. Quantifying economic sustainability: implications for free-enterprise theory, policy and practice[J]. Ecological Economics, 2009, 69(1): 76-81.

[29] Kharrazi, A, Rovenskaya, E, Fath, B D, et al. Quantifying the sustainability of economic resource networks: an ecological information-based approach[J]. Ecological Economics, 2013, 90: 177-186.

[30] Ulanowicz, R E, Norden, J S. Symmetrical overhead in flow networks[J]. International Journal of Systems Science, 1990, 21(2): 429-437.

[31] Lietaer, B, Ulanowicz, R E, Goerner, S. Options for managing a systemic bank crisis[J]. S.A.P.I.EN.S [Online], 2009, 2(1): 1-15.

[32] Morris, J T, Christian, R R, Ulanowicz, R E. Analysis of size and complexity of randomly constructed food webs by information theoretic metrics. // Belgrano, A, Scharler, U M, Dunne, J, Ulanowicz, R E (Eds.), Aquatic Food Webs: An Ecosystem Approach (pp. 73-85). New York, USA: Oxford University Press, 2005.