Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao

Xiaotong SUI; Xiaohua WANG; Lingdi ZHAO

doi:10.1007/s00343-020-9268-5

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Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao

Ecology | Updated：2023-04-27

- Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao
- Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao
- 海洋湖沼学报（英文） 2020年38卷第6期页码：1846-1857
- Affiliations：
  
  1.School of Economics, Ocean University of China, Qingdao 266000, China
  2.Marine Development Studies Institute of OUC, Key Research Institute of Humanities and Social Sciences at Universities, Ministry of Education, Qingdao 266000, China
  3.Sino-Australian Research Centre for Coastal Management, UNSW Canberra, BC 2610, Australia
- Author bio：
  
  ZHAO Lingdi, lingdizhao512@163.com
- Funds：
  
  the National Natural Science Foundation of China(71974176);the National Natural Science Foundation of China(71473233);the National Social Science Foundation of China(18VSJ067);the National Social Science Foundation of China(14ZDB151);© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020
- DOI：10.1007/s00343-020-9268-5
  中图分类号：
- 收稿：2019-10-15，
  
  录用：2019-12-10，
  
  网络首发：2020-03-08，
  
  纸质出版：2020-11
- Accepted：
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Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao[J]. 海洋湖沼学报（英文）, 2020,38(6):1846-1857.

Xiaotong SUI, Xiaohua WANG, Lingdi ZHAO. Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao[J]. Journal of Oceanology and Limnology, 2020, 38(6): 1846-1857.
Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao[J]. 海洋湖沼学报（英文）, 2020,38(6):1846-1857. DOI： 10.1007/s00343-020-9268-5.

Xiaotong SUI, Xiaohua WANG, Lingdi ZHAO. Using the resource-environment-economy coordination degree model to guide China's national blue bay remediation action plan in Qingdao[J]. Journal of Oceanology and Limnology, 2020, 38(6): 1846-1857. DOI： 10.1007/s00343-020-9268-5.

摘要

Abstract

The China National Blue Bay Remediation Action Plan (NBBRAP) is a crucial step towards achieving the overall goal of building a maritime power and a beautiful ocean. This paper presents the resource-environment-economy (REE) composite system from the three-dimensional perspective of REE. Especially

through the coordination degree model of the composite system based on the order degree of subsystems

empirical analysis of the coordination degree of the REE composite system in a typical coastal city Qingdao from 2005 to 2016 was carried out. Results indicate that the degree of coordination and interactive coordination of the REE composite system in Qingdao were in a low-quality state. Qingdao's economy development depended largely on the expense of over-exploitation of resources and environmental degradation in 2013-2015. Government policy implementation was less persistent in 2009-2010 and 2011-2013. The immediate stimulating effect was significant

making the coordination degree of the REE composite system fluctuate in a volatile manner. Analysis of the coordination degree of the REE composite system has practical guiding significance for the successful implementation attainment of the NBBRAP target in Qingdao and is conducive to deepening the learning and promotion of this plan in other coastal cities.

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Keywords

references

H Arminen , A N Menegaki . Corruption, climate and the energy-environment-growth nexus . Energy Economics , 2019 . 80 621 - 634 . DOI: 10.1016/j.eneco.2019.02.009 http://doi.org/10.1016/j.eneco.2019.02.009 .

X Cheng , R Y Long , H Chen , Q W Li . Coupling coordination degree and spatial dynamic evolution of a regional green competitiveness system-A case study from China . Ecological Indicators , 2019 . 104 489 - 500 . DOI: 10.1016/j.ecolind.2019.04.003 http://doi.org/10.1016/j.ecolind.2019.04.003 .

S Drews , M Antal , J C J M van den Bergh . Challenges in assessing public opinion on economic growth versus environment: considering European and US data . Ecological Economics , 2018 . 146 265 - 272 . DOI: 10.1016/j.ecolecon.2017.11.006 http://doi.org/10.1016/j.ecolecon.2017.11.006 .

T Eichner , R Pethig . Ecosystem and economy: an integrated dynamic general equilibrium approach . Journal of Economics , 2005 . 85 ( 3 ): 213 - 249 . DOI: 10.1007/s00712-005-0135-9 http://doi.org/10.1007/s00712-005-0135-9 .

G Gogoberidze . Tools for comprehensive estimate of coastal region marine economy potential and its use for coastal planning . Journal of Coastal Conservation , 2012 . 16 ( 3 ): 251 - 260 . DOI: 10.1007/s11852-011-0155-2 http://doi.org/10.1007/s11852-011-0155-2 .

Grossman G M, Helpman E.1993.Innovation and Growth in the Global Economy.MIT Press, London, England.359p.

H Y Han , K Q Li , X L Wang , X Y Shi , X D Qiao , J Liu . Environmental capacity of nitrogen and phosphorus pollutions in Jiaozhou Bay, China: modeling and assessing . Marine Pollution Bulletin , 2011 . 63 ( 5-12 ): 262 - 266 . DOI: 10.1016/j.marpolbul.2010.12.017 http://doi.org/10.1016/j.marpolbul.2010.12.017 .

Y H He , K R Lin , F Zhang , Y L Wang , X H Chen . Coordination degree of the exploitation of water resources and its spatial differences in China . Science of the Total Environment , 2018 . 644 1 117 - 1 127 . DOI: 10.1016/j.scitotenv.2018.07.050 http://doi.org/10.1016/j.scitotenv.2018.07.050 .

J T Kildow , A McIlgorm . The importance of estimating the contribution of the oceans to national economies . Marine Policy , 2010 . 34 ( 3 ): 367 - 374 . DOI: 10.1016/j.marpol.2009.08.006 http://doi.org/10.1016/j.marpol.2009.08.006 .

S J Kwak , S H Yoo , J I Chang . The role of the maritime industry in the Korean national economy: an input-output analysis . Marine Policy , 2005 . 29 ( 4 ): 371 - 383 . DOI: 10.1016/j.marpol.2004.06.004 http://doi.org/10.1016/j.marpol.2004.06.004 .

T X Li , Y W Han , Y Li , Z M Lu , P Zhao . Urgency, development stage and coordination degree analysis to support differentiation management of water pollution emission control and economic development in the eastern coastal area of China . Ecological Indicators , 2016 . 71 406 - 415 . DOI: 10.1016/j.ecolind.2016.07.020 http://doi.org/10.1016/j.ecolind.2016.07.020 .

W J Liu , F C Jiao , L J Ren , X G Xu , J C Wang , X Wang . Coupling coordination relationship between urbanization and atmospheric environment security in Jinan City . Journal of Cleaner Production , 2018 . 204 1 - 11 . DOI: 10.1016/j.jclepro.2018.08.244 http://doi.org/10.1016/j.jclepro.2018.08.244 .

R E Lucas . On the mechanics of economic development . Journal of Monetary Economics , 1988 . 22 ( 1 ): 3 - 42 . DOI: 10.1016/0304-3932(88)90168-7 http://doi.org/10.1016/0304-3932(88)90168-7 .

N Maier . Coordination and cooperation in the European marine strategy framework directive and the US national ocean policy . Ocean & Coastal Management , 2014 . 92 1 - 8 . DOI: 10.1016/j.ocecoaman.2014.01.014 http://doi.org/10.1016/j.ocecoaman.2014.01.014 .

Q S Meng , W X Han . Study of the coordinating measurement model with respect to composite system . Journal of Tianjin University , 2000 . 33 ( 4 ): 444 - 446 . http://en.cnki.com.cn/Article_en/CJFDTOTAL-TJDX200004007.htm http://en.cnki.com.cn/Article_en/CJFDTOTAL-TJDX200004007.htm , .

Monaco A, Prouzet P.2015.Ocean industry leadership and collaboration in sustainable development of the seas. In : Monaco A, Prouzet P eds.Governance of Seas and Oceans.John Wiley & amp; Sons, Inc., Hoboken, NJ, USA, p.281-296, https://doi.org/10.1002/9781119116233.ch8 https://doi.org/10.1002/9781119116233.ch8 .

Qingdao Municipal Statistics Bureau . Qingdao Statistical Yearbook , : Beijing China Statistics Press , 2011 . p.193 .

Qingdao Municipal Statistics Bureau . Qingdao Statistical Yearbook , : Beijing China Statistics Press , 2012 . p.217 .

Qingdao Municipal Statistics Bureau . Qingdao Statistical Yearbook , : Beijing China Statistics Press , 2013 . p.359 - 360 . .

Qingdao Municipal Statistics Bureau . Qingdao Statistical Yearbook , : Beijing China Statistics Press , 2014 . p.351 - 352 . .

Qingdao Municipal Statistics Bureau.2018.Statistical Bulletin on National Economic and Social Development of Qingdao in 2018. http://qdtj.qingdao.gov.cn/n28356045/n32561056/n32561072/190319133354050380.html http://qdtj.qingdao.gov.cn/n28356045/n32561056/n32561072/190319133354050380.html .Accessed on 2019-05-15.

W F Qiu , P J S Jones . The emerging policy landscape for marine spatial planning in Europe . Marine Policy , 2013 . 39 182 - 190 . DOI: 10.1016/j.marpol.2012.10 http://doi.org/10.1016/j.marpol.2012.10 .

J Reis , C Lowe . Capacity development of European coastal and marine management-gaps and bridges . Ocean & Coastal Management , 2012 . 55 13 - 19 . DOI: 10.1016/j.ocecoaman.2011.09.010 http://doi.org/10.1016/j.ocecoaman.2011.09.010 .

L D Rodwell , S Fletcher , G A Glegg , M Campbell , S E Rees , M Ashley , E A Linley , M Frost , B Earll , R B Wynn , L Mee , P Almada-Villela , D Lear , P Stanger , A Colenutt , F Davenport , Bradshaw N J Barker , R Covey . Marine and coastal policy in the UK: challenges and opportunities in a new era . Marine Policy , 2014 . 45 251 - 258 . DOI: 10.1016/j.marpol.2013.09.014 http://doi.org/10.1016/j.marpol.2013.09.014 .

P M Romer . Increasing returns and long-run growth . Journal of Political Economy , 1986 . 94 ( 5 ): 1 002 - 1 037 . DOI: 10.1086/261420 http://doi.org/10.1086/261420 .

C C Shen , W Zheng , H H Shi , D W Ding , Z L Wang . Assessment and regulation of ocean health based on ecosystem services: case study in the Laizhou Bay, China . Acta Oceanologica Sinica , 2015 . 34 ( 12 ): 61 - 66 . DOI: 10.1007/s13131-015-0777-6 http://doi.org/10.1007/s13131-015-0777-6 .

L Y Shen , Y L Huang , Z H Huang , Y L Lou , G Ye , S W Wong . Improved coupling analysis on the coordination between socio-economy and carbon emission . Ecological Indicators , 2018 . 94 357 - 366 . DOI: 10.1016/j.ecolind.2018.06.068 http://doi.org/10.1016/j.ecolind.2018.06.068 .

S Smulders . Entropy, environment, and endogenous economic growth . International Tax and Public Finance , 1995 . 2 ( 2 ): 319 - 340 . DOI: 10.1007/BF00877504 http://doi.org/10.1007/BF00877504 .

Q J Song , N Zhou , T L Liu , S A Siehr , Y Qi . Investigation of a "coupling model" of coordination between low-carbon development and urbanization in China . Energy Policy , 2018 . 121 346 - 354 . DOI: 10.1016/j.enpol.2018.05.037 http://doi.org/10.1016/j.enpol.2018.05.037 .

S M Stead . Rethinking marine resource governance for the United Nations Sustainable Development Goals . Current Opinion in Environmental Sustainability , 2018 . 34 54 - 61 . DOI: 10.1016/j.cosust.2018.12.001 http://doi.org/10.1016/j.cosust.2018.12.001 .

M Su , Y Yang . Evolution of district marine policies in China: the case of Shandong Province . Marine Policy , 2018 . 89 124 - 131 . DOI: 10.1016/j.marpol.2017.12.028 http://doi.org/10.1016/j.marpol.2017.12.028 .

C Z Sun , S Wang , W Zou , Z Y Wang . Estimating the efficiency of complex marine systems in China's coastal regions using a network Data Envelope Analysis model . Ocean & Coastal Management , 2017 . 139 77 - 91 . DOI: 10.1016/j.ocecoaman.2017.02.005 http://doi.org/10.1016/j.ocecoaman.2017.02.005 .

M Tian , Y Zhang , Z Tang . The empirical analysis of synergetic development of innovation and entrepreneurship composite system of China . Science and Technology Management Research , 2016 . 36 ( 19 ): 20 - 26 . DOI: 10.3969/j.issn.1000-7695.2016.19.004 http://doi.org/10.3969/j.issn.1000-7695.2016.19.004 .

J Vince , A D M Smith , K J Sainsbury , I D Cresswell , D C Smith , M Haward . Australia's oceans policy: past, present and future . Marine Policy , 2015 . 57 1 - 8 . DOI: 10.1016/j.marpol.2015.02.014 http://doi.org/10.1016/j.marpol.2015.02.014 .

B Wang . The outlook for the establishment and management of marine protected area network in China . International Journal of Geoheritage and Parks , 2018 . 6 ( 1 ): 32 - 42 . .

H J Wang . Exhaustible resources, environment pollution and endogenous economic growth . Fudan Journal (Social Sciences Edition) , 2000 . ( 1 ): 76 - 80 . http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=fdxb-shkxb200001010 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=fdxb-shkxb200001010 , .

M Q Wang , X H Wang . Introduction to the national blue bay remediation action plan in China . Australian Journal of Maritime & Ocean Affairs , 2018 . 10 ( 4 ): 256 - 262 . DOI: 10.1080/18366503.2018.1534522 http://doi.org/10.1080/18366503.2018.1534522 .

S J Wang , C L Fang , Y Wang , Y B Huang , H T Ma . Quantifying the relationship between urban development intensity and carbon dioxide emissions using a panel data analysis . Ecological Indicators , 2015 . 49 121 - 131 . DOI: 10.1016/j.ecolind.2014.10.004 http://doi.org/10.1016/j.ecolind.2014.10.004 .

S J Wang , H T Ma , Y B Zhao . Exploring the relationship between urbanization and the eco-environment-a case study of Beijing-Tianjin-Hebei region . Ecological Indicators , 2014 . 45 171 - 183 . DOI: 10.1016/j.ecolind.2014.04.006 http://doi.org/10.1016/j.ecolind.2014.04.006 .

X H Wang , L Li , X Bao , L D Zhao . Economic cost of an algae bloom cleanup in China's 2008 Olympic sailing venue . EOS, Transactions American Geophysical Union , 2009 . 90 ( 28 ): 238 - 239 . DOI: 10.1029/2009EO280002 http://doi.org/10.1029/2009EO280002 .

Z Y Wang , H Lu , Z L Han . An analysis of the spatial and temporal differentiation and driving factors of the marine resource curse in China . Ocean & Coastal Management , 2018 . 155 60 - 67 . DOI: 10.1016/j.ocecoaman.2018.01.015 http://doi.org/10.1016/j.ocecoaman.2018.01.015 .

Y M Wu , D F Liang , Z H Zhang , Y Zhang . Coordinative degree model of environment-economy system and its application . China Population, Resources and Environment , 1996 . 6 ( 2 ): 47 - 50 . http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZGRZ199602010.htm http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZGRZ199602010.htm , .

L Xing , M G Xue , M S Hu . Dynamic simulation and assessment of the coupling coordination degree of the economy-resource-environment system: case of Wuhan City in China . Journal of Environmental Management , 2019 . 230 474 - 487 . DOI: 10.1016/j.jenvman.2018.09.065 http://doi.org/10.1016/j.jenvman.2018.09.065 .

Y Xiong . Uncertainty evaluation of the coordinated development of urban human settlement environment and economy in Changsha city . Journal of Geographical Sciences , 2011 . 21 ( 6 ): 1 123 - 1 137 . DOI: 10.1007/s11442-011-0905-y http://doi.org/10.1007/s11442-011-0905-y .

B D Xu , H H Zeng , Y Xue , Y P Ji , Y P Ren . Community structure and species diversity of fish assemblage in the coastal waters of Jiaozhou Bay . Acta Ecologica Sinica , 2013 . 33 ( 10 ): 3 074 - 3 082 . DOI: 10.5846/stxb201203040292 http://doi.org/10.5846/stxb201203040292 .

H Y Yu , X Z Li , B Q Li , J B Wang , H F Wang . The biodiversity of macrobenthos from Jiaozhou Bay . Acta Ecologica Sinica , 2006 . 26 ( 2 ): 416 - 422 . DOI: 10.1016/S1872-2032(06)60009-7 http://doi.org/10.1016/S1872-2032(06)60009-7 .

X Q Zeng , C H Piao , W Jiang , Q Liu . Biodiversity investigation in Jiaozhou Bay and neighbouring waters . Periodical of Ocean University of China , 2004 . 34 ( 6 ): 977 - 982 . http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=qdhydxxb200406009 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=qdhydxxb200406009 , .

P Y Zhang , F Su , H Li , Q Sang . Coordination degree of urban population, economy, space, and environment in Shenyang since 1990 . China Population, Resources and Environment , 2008 . 18 ( 2 ): 115 - 119 . DOI: 10.1016/S1872-583X(09)60004-8 http://doi.org/10.1016/S1872-583X(09)60004-8 .

P Zhang , Y Su , S K Liang , K Q Li , Y B Li , X L Wang . Assessment of long-term water quality variation affected by high-intensity land-based inputs and land reclamation in Jiaozhou Bay, China . Ecological Indicators , 2017 . 75 210 - 219 . DOI: 10.1016/j.ecolind.2016.12.035 http://doi.org/10.1016/j.ecolind.2016.12.035 .

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