Accès libre

Analysis of the relationship between industrial agglomeration and regional economic growth based on the multi-objective optimisation model

   | 22 nov. 2021
À propos de cet article

Citez

Xinzhu Zhang. New Business Week, 2019, 000(012):P.12–12. (in Chinese)XinzhuZhangNew Business Week20190000121212(in Chinese)Search in Google Scholar

Di Ye. An Empirical Study on the Relationship between Industrial Agglomeration Effect and Regional Economic Growth in China – Taking Industry as an Example [J]. Economic Perspective, 2013(11):135–137.DiYeAn Empirical Study on the Relationship between Industrial Agglomeration Effect and Regional Economic Growth in China – Taking Industry as an Example [J]Economic Perspective201311135137Search in Google Scholar

Jialiang He, Jiandong Zhao. Research on the relationship between financial agglomeration and regional economic growth – A case study of Anhui Province [J]. Journal of Heilongjiang Institute of Technology (comprehensive edition), 2019(8).JialiangHeZhaoJiandongResearch on the relationship between financial agglomeration and regional economic growth – A case study of Anhui Province [J]Journal of Heilongjiang Institute of Technology (comprehensive edition)20198Search in Google Scholar

Xin’an Qi. Journal of Anhui Agricultural University (Social Science Edition), 2001(3):8–10. (in Chinese)Xin’anQiJournal of Anhui Agricultural University (Social Science Edition)20013810(in Chinese)Search in Google Scholar

Ying Sun, Li-xia Zhu,Qiu-xian Ding, et al. Research of Agricultural Modernization, 2016, 37(02):247–254.]YingSunZhuLi-xiaDingQiu-xianResearch of Agricultural Modernization20163702247254Search in Google Scholar

Fanfan Li. The Impact of Financial Agglomeration Spatial Distribution on Regional Economic Growth – An Empirical Study Based on Spatial Dupin Model [J]. Regional Finance Research, 2019, No.567(11):13–19.FanfanLiThe Impact of Financial Agglomeration Spatial Distribution on Regional Economic Growth – An Empirical Study Based on Spatial Dupin Model [J]Regional Finance Research2019567111319Search in Google Scholar

Yingjun Feng. Fuzzy solutions for multi-objective optimization problems [J]. Chinese Science Bulletin, 1981(17):1028–1030. (in Chinese)YingjunFengFuzzy solutions for multi-objective optimization problems [J]Chinese Science Bulletin19811710281030(in Chinese)Search in Google Scholar

In the gold. Innovative Education Research, 2019, 7(5):7. (in Chinese)In the goldInnovative Education Research2019757(in Chinese)Search in Google Scholar

Gongyue Wu. Research on optimal problem of multi-objective programming based on obstacle function. Think Tank Times, 2019, 202(34):292+299.GongyueWuResearch on optimal problem of multi-objective programming based on obstacle functionThink Tank Times201920234292299Search in Google Scholar

eISSN:
2444-8656
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics