Abstract:Standardizing the waste disposal behavior of manufacturing enterprises and environmental protection enterprises and forming a symbiotic governance mechanism are the basis for the ecological transformation of the industrial park. Based on the concept of mutual benefit and win-win, the network evolutionary game is used to simulate the influence of the decision-making behavior of enterprises under different scales and structures on the establishment of symbiosis process. The results show that there are differences in the sensitivity of manufacturing enterprises and environmental protection enterprises to government subsidies, and a reasonable subsidy policy can stimulate the enthusiasm of both parties at the same time. On the one hand, the government's guidance and supervision in the early stage can cultivate the sense of responsibility of the two types of enterprises. On the other hand, it can effectively prevent the occurrence of speculative behavior, which plays a key role in speeding up the construction process of symbiotic relationship.
张鹏, 菅利荣, 王丹丹. 共生网络视角下工业园生态转型治理机制研究[J]. 复杂系统与复杂性科学, 2023, 20(1): 95-104.
ZHANG Peng, JIAN Lirong, WANG Dandan. Research on the Governance Mechanism of Industrial Park's Ecological Transformation from the Perspective of Symbiosis Network. Complex Systems and Complexity Science, 2023, 20(1): 95-104.
[1] LYBAEK R, CHRISTENSE T B, THOMSEN T P. Enhancing policies for deployment of Industrial symbiosis-what are the obstacles, drivers and future way forward?[J]. Journal of Cleaner Production, 2020, 280(2): 124351. [2] CHERTOW M R. Industrial symbiosis: literature and taxonomy[J]. Annual Review of Energy and the Environment, 2000, 25: 313337. [3] YONG G, JIA F, SARKIS J, et al. Towards a national circular economy indicator system in China: an evaluation and critical analysis[J]. Journal of Cleaner Production, 2012, 23(1): 216224. [4] JACOBSEN N B. Industrial symbiosis inkalundborg, denmark: a quantitative assessment of economic and environmental aspects[J]. Journal of Industrial Ecology, 2006, 10(1/2): 239255. [5] BEHERA S K, KIM J H, LEE S Y, et al. Evolution of ‘designed’ industrial symbiosis networks in the ulsan eco-industrial park: ‘research and development into business’ as the enabling framework[J]. Journal of Cleaner Production, 2012, 29/30: 103112. [6] CHERTOW M R.‘Uncovering’ industrial symbiosis[J]. Journal of Industrial Ecology, 2007, 11(1): 1130. [7] OHNISHI S, FUJITA T, CHEN X, et al. Econometric analysis of the performance of recycling projects in Japanese eco-towns[J]. Journal of Cleaner Production, 2012, 33: 217225. [8] BRENT, ALAN C, et al.Advancing the concepts of industrial ecology in South African institutions[J]. South African Journal of Science, 2008, 104(1/2): 912. [9] KIM H. Building an eco-industrial park as a public project in South Korea. The stakeholders' understanding of and involvement in the project[J]. Sustainable Development, 2010, 15(6): 357369. [10] CHERTOW M, SONG Y. Developing country experience with eco-industrial parks: a case study of the Tianjin economic-technological development area in China[J]. Journal of Cleaner Production, 2010, 18(3): 191199. [11] ZHANG L, YUAN Z W, BI J, et al. Eco-industrial parks: national pilot practices in China[J]. Journal of Cleaner Production, 2010, 18(5): 504509. [12] 廖玉清, 方厚政. 2000~2020年我国生态工业园研究文献回顾[J]. 中国高校科技, 2020(7): 7880. LIAO Y Q, FANG H Z. A review of the research literature on eco-industrial parks in my country from 2000 to 2020[J]. Chinese University Technology Transfer, 2020(7): 7880. [13] SIMPSON D. Knowledge resources as a mediator of the relationship between recycling pressures and environmental performance[J]. Journal of Cleaner Production, 2012, 22(1): 3241. [14] 宿宇, 董战峰. 深化工业园区环境污染第三方治理改革的重点方向[J]. 环境保护, 2020, 48(20): 5659. SU Y, DONG Z F. The key direction of deepening the third-party governance reform of environmental pollution in industrial parks[J]. Environmental Protection, 2020, 48(20): 5659. [15] 李湘梅, 肖人彬, 曾宇, 等. 生态工业园共生网络的脆弱性[J]. 生态学报, 2014, 34(16): 47464755. LI X M, XIAO R B, ZENG Y, et al. Vulnerability of symbiotic networks in eco-industrial parks[J].Acta Ecologica Sinica, 2014, 34(16): 47464755. [16] MIRATA M, EMTAIRAH T. Industrial symbiosis networks and the contribution to environmental innovation: the case of thelandskrona industrial symbiosis programme[J]. Journal of Cleaner Production, 2005, 13(1011): 9931002. [17] 蒋同明. 无标度网络视角下科技园区创新网络研究[J]. 科技进步与对策, 2011, 28(10): 912. JIANG T M. Research on innovation network of science and technology parks from the perspective of scale-free network[J]. Science & Technology Progress and Policy, 2011, 28(10): 912. [18] ZHANG Z, LI W, WU J, et al. Eco-industrial parks' structural characteristics and mechanisms: a caseof Xinzhuang and comparison studies[J]. Journal of Cleaner Production, 2020, 268(2): 121764. [19] GIACMO D F, MASSIMO B. Drivers of municipal solid waste management cost based on cost models inherent to sorted and unsorted waste[J]. Waste Management, 2020, 114: 202214. [20] NOWAK M A, MAY R M. Evolutionary games and spatial chaos[J]. Nature, 1992, 359(6398): 826829. [21] SANTOS F C, SANTOS M, PACHECO J M. Social diversity promotes the emergence of cooperation in public goods games[J]. Nature, 2008, 454(7201): 213. [22] 罗暘洋, 李存金, 罗斌. 基于双层网络的第三方支付机构与商业银行竞合演化机理研究[J]. 中国管理科学,2023(1):238247. LUO YY, LI C J, LUO B. Research on the evolution mechanism of competition and cooperation between third-party payment institutions and commercial banks based on double-layer network[J]. Chinese Journal of Management Science,2023(1):238247. [23] DAN D, LI J, MA Z H, et al. An evolutionary game for the diffusion of rumor in complex networks[J].Physica A: Statistical Mechanics and Its Applications, 2015, 433: 5158. [24] 张宏娟, 范如国. 基于复杂网络演化博弈的传统产业集群低碳演化模型研究[J]. 中国管理科学, 2014, 22(12): 4147. ZHANG H J, FAN R G. Research on low-carbon evolution model of traditional industrial clusters based on complex network evolutionary game[J]. Chinese Journal of Management Science, 2014, 22(12): 4147. [25] 曹霞, 邢泽宇, 张路蓬. 政府规制下新能源汽车产业发展的演化博弈分析[J]. 管理评论, 2018, 30(9): 8296. CAO X, XING Z Y, ZHANG L P. Evolutionary game analysis of new energy vehicle industry development under government regulation[J]. Management Review, 2018, 30(9): 8296.