{"title":"基于 VAR 模型的经济增长与海洋生态环境之间的关系","authors":"Chenhui Li","doi":"10.1016/j.seares.2023.102462","DOIUrl":null,"url":null,"abstract":"<div><p>This study aims to investigate the inherent correlation between economic growth and marine conservation in the coastal regions of China, specifically the shifting relationship between high and low economic growth periods and marine pollution. A nonlinear model is employed to determine the dynamic relationship based on historical data, with the inclusion of a nonlinear zone system transfer factor to achieve this dynamic relationship. The study's data was sourced from a statistical database of 11 Chinese coastal provinces, containing details on economic growth rates and emissions of industrial waste. In the study, significant differences in the mean, variance and smoothing probability of the different provinces were observed in the different systems. Notably, Shandong recorded the highest mean μ2 in both systems, 0.7261* and 0.7261**, while the correlation coefficient between the two systems in the high growth area was −0.3543. Significant differences exist in the intrinsic links between economic growth and marine environmental protection within provinces and cities. Therefore, targeted strategies must be developed for specific regions when formulating economic and environmental policies.</p></div>","PeriodicalId":50056,"journal":{"name":"Journal of Sea Research","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1385110123001314/pdfft?md5=7783de000bfdafd487882d752c46de20&pid=1-s2.0-S1385110123001314-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Relationship between economic growth and marine ecological environment based on VAR models\",\"authors\":\"Chenhui Li\",\"doi\":\"10.1016/j.seares.2023.102462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study aims to investigate the inherent correlation between economic growth and marine conservation in the coastal regions of China, specifically the shifting relationship between high and low economic growth periods and marine pollution. A nonlinear model is employed to determine the dynamic relationship based on historical data, with the inclusion of a nonlinear zone system transfer factor to achieve this dynamic relationship. The study's data was sourced from a statistical database of 11 Chinese coastal provinces, containing details on economic growth rates and emissions of industrial waste. In the study, significant differences in the mean, variance and smoothing probability of the different provinces were observed in the different systems. Notably, Shandong recorded the highest mean μ2 in both systems, 0.7261* and 0.7261**, while the correlation coefficient between the two systems in the high growth area was −0.3543. Significant differences exist in the intrinsic links between economic growth and marine environmental protection within provinces and cities. Therefore, targeted strategies must be developed for specific regions when formulating economic and environmental policies.</p></div>\",\"PeriodicalId\":50056,\"journal\":{\"name\":\"Journal of Sea Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1385110123001314/pdfft?md5=7783de000bfdafd487882d752c46de20&pid=1-s2.0-S1385110123001314-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sea Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1385110123001314\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MARINE & FRESHWATER BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sea Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1385110123001314","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MARINE & FRESHWATER BIOLOGY","Score":null,"Total":0}
Relationship between economic growth and marine ecological environment based on VAR models
This study aims to investigate the inherent correlation between economic growth and marine conservation in the coastal regions of China, specifically the shifting relationship between high and low economic growth periods and marine pollution. A nonlinear model is employed to determine the dynamic relationship based on historical data, with the inclusion of a nonlinear zone system transfer factor to achieve this dynamic relationship. The study's data was sourced from a statistical database of 11 Chinese coastal provinces, containing details on economic growth rates and emissions of industrial waste. In the study, significant differences in the mean, variance and smoothing probability of the different provinces were observed in the different systems. Notably, Shandong recorded the highest mean μ2 in both systems, 0.7261* and 0.7261**, while the correlation coefficient between the two systems in the high growth area was −0.3543. Significant differences exist in the intrinsic links between economic growth and marine environmental protection within provinces and cities. Therefore, targeted strategies must be developed for specific regions when formulating economic and environmental policies.
期刊介绍:
The Journal of Sea Research is an international and multidisciplinary periodical on marine research, with an emphasis on the functioning of marine ecosystems in coastal and shelf seas, including intertidal, estuarine and brackish environments. As several subdisciplines add to this aim, manuscripts are welcome from the fields of marine biology, marine chemistry, marine sedimentology and physical oceanography, provided they add to the understanding of ecosystem processes.