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Knowledge structure of emergy theory in the field of eco‐compensation research: A grounded theory approach

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  • Xiumei Xu
  • Yilan Tan
  • Chao Feng

Abstract

Although emergy theory has made progress in the field of eco‐compensation research, there is still a lack of review articles, summarizing the existing knowledge structure in this area of study. Accordingly, the objective of this paper is to provide a reference for researchers by characterizing the current status of emergy theory in the field of eco‐compensation and to establish the internal logic structure among existing studies, based upon a qualitative analysis of textual data. Inspired by the grounded theory, twelve concepts within five categories of emergy theory were extracted by open, axial, and selective coding of relevant literature. Concepts were extracted from the texts and categories were determined according to the inherent logical relationships among those concepts. The “knowledge structure model of emergy theory in the field of eco‐compensation” was constructed and the following five principal categories were identified: “emergy indicators system,” the “integration of methods and theories,” “research subjects,” “calculation of compensation standards,” and “research concerns.” Moreover, core and supporting genera were also identified from these five axial codes. Finally, the research focuses and hotspots were explored according to the theoretical frameworks as indicated by the core and supporting genera. The findings of this paper provide a reference for researchers to further promote innovation in the application of emergy theory in the field of eco‐compensation.

Suggested Citation

  • Xiumei Xu & Yilan Tan & Chao Feng, 2022. "Knowledge structure of emergy theory in the field of eco‐compensation research: A grounded theory approach," Natural Resources Forum, Blackwell Publishing, vol. 46(3), pages 351-373, August.
  • Handle: RePEc:wly:natres:v:46:y:2022:i:3:p:351-373
    DOI: 10.1111/1477-8947.12261
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    1. Yang, Qing & Liu, Gengyuan & Giannetti, Biagio F. & Agostinho, Feni & M.V.B. Almeida, Cecília & Casazza, Marco, 2020. "Emergy-based ecosystem services valuation and classification management applied to China’s grasslands," Ecosystem Services, Elsevier, vol. 42(C).
    2. Maysami, Amir Mahdi & Mohammadi Elyasi, Ghanbar, 2020. "Designing the framework of technological entrepreneurship ecosystem: A grounded theory approach in the context of Iran," Technology in Society, Elsevier, vol. 63(C).
    3. Buonocore, Elvira & Picone, Flavio & Donnarumma, Luigia & Russo, Giovanni F. & Franzese, Pier Paolo, 2019. "Modeling matter and energy flows in marine ecosystems using emergy and eco-exergy methods to account for natural capital value," Ecological Modelling, Elsevier, vol. 392(C), pages 137-146.
    4. Sponagel, Christian & Angenendt, Elisabeth & Piepho, Hans-Peter & Bahrs, Enno, 2021. "Farmers’ preferences for nature conservation compensation measures with a focus on eco-accounts according to the German Nature Conservation Act," Land Use Policy, Elsevier, vol. 104(C).
    5. Grima, Nelson & Singh, Simron J. & Smetschka, Barbara, 2018. "Improving payments for ecosystem services (PES) outcomes through the use of Multi-Criteria Evaluation (MCE) and the software OPTamos," Ecosystem Services, Elsevier, vol. 29(PA), pages 47-55.
    6. Dong, X.B. & Yu, B.H. & Brown, M.T. & Zhang, Y.S. & Kang, M.Y. & Jin, Y. & Zhang, X.S. & Ulgiati, S., 2014. "Environmental and economic consequences of the overexploitation of natural capital and ecosystem services in Xilinguole League, China," Energy Policy, Elsevier, vol. 67(C), pages 767-780.
    7. Chen, Cheng & Matzdorf, Bettina & Zhen, Lin & Schröter, Barbara, 2020. "Social-Network Analysis of local governance models for China's eco-compensation program," Ecosystem Services, Elsevier, vol. 45(C).
    8. David M Gligor & Carol L Esmark & Ismail Gölgeci, 2016. "Building international business theory: A grounded theory approach," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 47(1), pages 93-111, January.
    9. Cai, Wei & Liu, Conghu & Zhang, Cuixia & Ma, Minda & Rao, Weizhen & Li, Wenyi & He, Kang & Gao, Mengdi, 2018. "Developing the ecological compensation criterion of industrial solid waste based on emergy for sustainable development," Energy, Elsevier, vol. 157(C), pages 940-948.
    10. Bauchet, Jonathan & Asquith, Nigel & Ma, Zhao & Radel, Claudia & Godoy, Ricardo & Zanotti, Laura & Steele, Diana & Gramig, Benjamin M. & Chong, Andrea Estrella, 2020. "The practice of Payments for Ecosystem Services (PES) in the Tropical Andes: Evidence from program administrators," Ecosystem Services, Elsevier, vol. 45(C).
    11. Ola, Oreoluwa & Menapace, Luisa & Benjamin, Emmanuel & Lang, Hannes, 2019. "Determinants of the environmental conservation and poverty alleviation objectives of Payments for Ecosystem Services (PES) programs," Ecosystem Services, Elsevier, vol. 35(C), pages 52-66.
    12. Giannetti, B.F. & Demétrio, J.F.C. & Bonilla, S.H. & Agostinho, F. & Almeida, C.M.V.B., 2013. "Emergy diagnosis and reflections towards Brazilian sustainable development," Energy Policy, Elsevier, vol. 63(C), pages 1002-1012.
    13. Murray, Brian C. & Abt, Robert C., 2001. "Estimating price compensation requirements for eco-certified forestry," Ecological Economics, Elsevier, vol. 36(1), pages 149-163, January.
    14. Giannetti, B.F. & Ogura, Y. & Bonilla, S.H. & Almeida, C.M.V.B., 2011. "Emergy assessment of a coffee farm in Brazilian Cerrado considering in a broad form the environmental services, negative externalities and fair price," Agricultural Systems, Elsevier, vol. 104(9), pages 679-688.
    15. Cuimei Lv & Huiqin Li & Minhua Ling & Xi Guo & Zening Wu & Changkuan Gu & Yang Li, 2021. "An Innovative Emergy Quantification Method for Eco-economic Compensation for Agricultural Water Rights Trading," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 775-792, February.
    16. Xin Gao & Juqin Shen & Weijun He & Fuhua Sun & Zhaofang Zhang & Xin Zhang & Chengcai Zhang & Yang Kong & Min An & Liang Yuan & Xiaocang Xu, 2019. "Changes in Ecosystem Services Value and Establishment of Watershed Ecological Compensation Standards," IJERPH, MDPI, vol. 16(16), pages 1-30, August.
    17. Sheng, Wenping & Zhen, Lin & Xie, Gaodi & Xiao, Yu, 2017. "Determining eco-compensation standards based on the ecosystem services value of the mountain ecological forests in Beijing, China," Ecosystem Services, Elsevier, vol. 26(PB), pages 422-430.
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