Evaluating the level of coordinated development of fisheries economic growth and environmental quality in selected Chinese regions |
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Affiliation: | 1. Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066, N-0316 Oslo, Norway;2. Polar Research Institute of Marine Fisheries and Oceanography (PINRO), 6 Knipovich Street, Murmansk 183038, Russia;3. Institute of Marine Research and Hjort Centre for Marine Ecosystem Dynamics, P.O. Box 1870, N-5817 Bergen, Norway;4. Institute of Marine Research, P.O. Box 1870, N-5817 Bergen, Norway;5. Flødevigen Marine Research Station, Institute of Marine Research, N-4817 His, Norway;6. University of Agder, P.O. Box 422, NO-4604 Kristiansand, Norway;7. The Norwegian Institute for Water Research, Gaustadalléen 21, NO-0349 Oslo, Norway;1. Business School, Shandong Normal University, China;2. School of Economics, Ocean University of China, Songling Road No. 238, Laoshan District, Qingdao, Shandong, China;3. School of Economics, Ocean University of China, China;1. School of Economics, Ocean University of China, Qingdao 266100, PR China;2. School of Management, Qingdao Agricultural University, Qingdao 266109, PR China;3. Agricultural Machinery Service Center of Qingdao Agricultural and Rural Bureau, Qingdao 266071, PR China |
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Abstract: | In recent years, China's fisheries economy has expanded dramatically. As a result, environmental pollution caused at least partially by such an expansion has endangered human health and the sustainable development of fisheries in some coastal regions. This paper establishes an indicator system for fisheries economic growth and environmental quality and evaluates the coordinated level of the two systems in 12 regions in China. Results show that i) it is necessary to expand the relative scale of fisheries economy, optimize the structure of fisheries industry, and improve the utilization capacity of pollutants; ii) the selected regions are evaluated as half each the fisheries economic lagging type and the environmental lagging type; iii) most of the selected regions exhibit a high coupling coordination degree, and the highest of those is Shandong. In the last section, the policy implications and further research directions are discussed. |
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