Journal of Resources and Ecology, Volume. 11, Issue 6, 570(2020)
Evaluation and Driving Force Analysis of Marine Sustainable Development based on the Grey Relational Model and Path Analysis
Figures & Tables(11)
Fig. 2. Added value of the three types of marine industries in Jiangsu Province
Fig. 3. Comparison of dynamic trends of the evolution of marine sustainable development based on the average correlation coefficient method and the weighting method
Fig. 4. Comparison of dynamic trend of the evolution of marine sustainable development based on the grey relational model and the comprehensive index model
Table 1.
Evaluation standard of marine sustainable development
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Evaluation standard of marine sustainable development
Grade Ⅴ Ⅳ Ⅲ Ⅱ Ⅰ Evaluation indicator value [0, 0.2) [0.2, 0.4) [0.4, 0.6) [0.6, 0.8) [0.8, 1.0] State Very bad Bad Neutral Good Very good
Table 2.
Evaluation indicator system of marine sustainable development
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Evaluation indicator system of marine sustainable development
System layer Indicator layer Unit Coefficient of variation weight Marine economy Added value of marine industry ( X 1)×108 yuan 0.0460 Gross marine product of coastal areas ( X 2)×108 yuan 0.0488 The proportion of marine GDP to coastal GDP ( X 3)% 0.0120 Proportion of marine secondary industry in marine GDP in coastal areas ( X 4)% 0.0074 Proportion of marine tertiary industry in marine GDP in coastal areas ( X 5)% 0.0083 Number of employed personnel involved in the sea ( X 6)×104 person 0.0138 Passenger traffic volume in coastal areas ( X 7)×104 person 0.0770 Marine resources Cargo throughput of coastal ports ( X 8)×104 t 0.0419 Per capita water resources in coastal areas ( X 9)m3 person-1 0.0273 Mariculture area in coastal area ( X 10)×104 ha 0.0093 Coastal wind power generation capacity ( X 11)×104 kW 0.0758 Coastal wetland area ( X 12)×104 ha 0.0288 Area of marine nature reserves in coastal areas ( X 13)×104 ha 0.1950 Marine biodiversity ( X 14)0.0548 Marine environment Economic losses caused by storm surges in coastal areas ( X 15)×108 yuan 0.2351 Industrial wastewater discharge in coastal areas ( X 16)×104 t 0.0110 Standard rate of industrial wastewater discharge in coastal areas ( X 17)% 0.0011 Industrial waste gas emissions in coastal areas ( X 18)×108 m3 0.0242 Industrial smoke (dust) emission in coastal areas ( X 19)×108 m3 0.0073 Disposal capacity of industrial solid waste in coastal areas ( X 20)×104 t 0.0583 Comprehensive utilization of industrial solid waste in coastal areas ( X 21)×104 t 0.0165
Table 3.
Marine sustainable development based on the grey relational model
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Marine sustainable development based on the grey relational model
Year Grey relational degree of correlation coefficient average method Grey relational degree of weighting method Average value of grey relational degree Rank 2016 0.7146 0.5881 0.6513 1 2012 0.5782 0.6246 0.6014 2 2014 0.6345 0.5259 0.5802 3 2015 0.6273 0.521 0.5741 4 2013 0.6097 0.5382 0.5739 5 2011 0.5383 0.4455 0.4919 6 2010 0.5487 0.4323 0.4905 7 2008 0.4590 0.4941 0.4766 8 2009 0.4571 0.3834 0.4203 9 2006 0.4474 0.3634 0.4054 10 2007 0.4069 0.3632 0.3850 11
Table 4.
Output results of normality test
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Output results of normality test
Dependent variable ( Y )Kolmogorov- Smirnov( a )Shapiro-Wilk Statistic df Sig .Statistic df Sig .Average value of grey relational degree of marine sustainable development 0.190 3 0.998 3 0.905
Table 5.
Model overview output
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Model overview output
R R 2Adjusted R 2Std. Error of the estimate 0.951a 0.905 0.894 0.0287146
Table 6.
Decomposition of simple correlation coefficients
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Decomposition of simple correlation coefficients
Driving factors The correlation coefficient of Y Direct path coefficient Indirect path coefficient total X 80.951 0.951 0
Table 7.
Main driving factors of marine sustainable development
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Main driving factors of marine sustainable development
Indicator Grey relational degree of correlation coefficient average method Grey relational degree of weighting method Average value of grey relational degree Driving force ranking X 150.0351 0.1975 0.1163 1 X 130.0357 0.1666 0.1012 2 X 110.0454 0.0824 0.0639 3 X 140.0519 0.0681 0.0600 4 X 70.0405 0.0746 0.0575 5 X 20.0498 0.0583 0.0540 6 X 10.0475 0.0524 0.0500 7 X 200.0410 0.0572 0.0491 8 X 80.0473 0.0474 0.0474 9 X 60.0659 0.0218 0.0438 10 X 30.0673 0.0193 0.0433 11 X 120.0501 0.0346 0.0423 12 X 210.0525 0.0207 0.0366 13 X 90.0426 0.0279 0.0353 14 X 100.0564 0.0126 0.0345 15 X 40.0536 0.0095 0.0316 16 X 170.0583 0.0016 0.0299 17 X 160.0464 0.0123 0.0293 18 X 180.0352 0.0205 0.0279 19 X 50.0415 0.0083 0.0249 20 X 190.0360 0.0063 0.0212 21
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Sheng GAO, Lin ZHAO, Huihui SUN, Guangxi CAO, Wei LIU. Evaluation and Driving Force Analysis of Marine Sustainable Development based on the Grey Relational Model and Path Analysis[J]. Journal of Resources and Ecology, 2020, 11(6): 570
Paper Information
Category: Resource Economy
Received: Jun. 2, 2020
Accepted: Aug. 20, 2020
Published Online: Apr. 23, 2021
The Author Email: LIU Wei (zrzysjyjy_weiliu@126.com)
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