{"title":"工业化和农业用地如何影响土耳其的城市人口?可持续发展目标背景下的政策影响","authors":"Volkan Göçoğlu , Serkan Göksu","doi":"10.1016/j.jpolmod.2023.08.004","DOIUrl":null,"url":null,"abstract":"<div><p>Urban population growth in Turkey has been increasing rapidly since the middle of the 20th century. The escalating population, particularly in urban regions, has emerged as a critical challenge in achieving sustainable urban management. The Sustainable Development Goals (SDG) 2, 9, and 11 present various avenues for governments to adress this predicament. This study employs the framework of multiple stream model, offering a valuable lens through which policies can identify opportune moments for policy implementation. The study examines the impact of industrialization and agricultural land use on the country's urban population while identifying potential opportunities for enhancing sustainable urban management in alignment with the SDGs. Subsequently, it critically examines the asymmetrical effects of these two significant factors on the urban population, formulating policy recommendations based on the empirical findings. The study concludes by stressing the significance of prioritizing sustainable, long-term agricultural and industrialization policies outlined in national policy documents rather than relying on short-term and temporary solutions.</p></div>","PeriodicalId":48015,"journal":{"name":"Journal of Policy Modeling","volume":"46 1","pages":"Pages 198-211"},"PeriodicalIF":3.5000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How do industrialization and agricultural land use affect urban population in Turkey? Policy implications in the context of SDGs\",\"authors\":\"Volkan Göçoğlu , Serkan Göksu\",\"doi\":\"10.1016/j.jpolmod.2023.08.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Urban population growth in Turkey has been increasing rapidly since the middle of the 20th century. The escalating population, particularly in urban regions, has emerged as a critical challenge in achieving sustainable urban management. The Sustainable Development Goals (SDG) 2, 9, and 11 present various avenues for governments to adress this predicament. This study employs the framework of multiple stream model, offering a valuable lens through which policies can identify opportune moments for policy implementation. The study examines the impact of industrialization and agricultural land use on the country's urban population while identifying potential opportunities for enhancing sustainable urban management in alignment with the SDGs. Subsequently, it critically examines the asymmetrical effects of these two significant factors on the urban population, formulating policy recommendations based on the empirical findings. The study concludes by stressing the significance of prioritizing sustainable, long-term agricultural and industrialization policies outlined in national policy documents rather than relying on short-term and temporary solutions.</p></div>\",\"PeriodicalId\":48015,\"journal\":{\"name\":\"Journal of Policy Modeling\",\"volume\":\"46 1\",\"pages\":\"Pages 198-211\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Policy Modeling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0161893823000984\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Policy Modeling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0161893823000984","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
How do industrialization and agricultural land use affect urban population in Turkey? Policy implications in the context of SDGs
Urban population growth in Turkey has been increasing rapidly since the middle of the 20th century. The escalating population, particularly in urban regions, has emerged as a critical challenge in achieving sustainable urban management. The Sustainable Development Goals (SDG) 2, 9, and 11 present various avenues for governments to adress this predicament. This study employs the framework of multiple stream model, offering a valuable lens through which policies can identify opportune moments for policy implementation. The study examines the impact of industrialization and agricultural land use on the country's urban population while identifying potential opportunities for enhancing sustainable urban management in alignment with the SDGs. Subsequently, it critically examines the asymmetrical effects of these two significant factors on the urban population, formulating policy recommendations based on the empirical findings. The study concludes by stressing the significance of prioritizing sustainable, long-term agricultural and industrialization policies outlined in national policy documents rather than relying on short-term and temporary solutions.
期刊介绍:
The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.