Rizwan Akhtar , Jamal Hussain , Zhuang Miao , Lingchao Li , Tran Cuong , Baodong Cheng , Rashid Ali , Sajjad Haider , Hajira Murad Ali
{"title":"了解低收入、中低收入、中高收入和高收入国家的贸易调整与森林密度之间的关系","authors":"Rizwan Akhtar , Jamal Hussain , Zhuang Miao , Lingchao Li , Tran Cuong , Baodong Cheng , Rashid Ali , Sajjad Haider , Hajira Murad Ali","doi":"10.1016/j.cjpre.2025.05.009","DOIUrl":null,"url":null,"abstract":"<div><div>Forests are essential for both ecological and economic aspects. Most rural people in developing countries rely on forest resources for their livelihood. Since 1980, trade has substantially affected forest cover, density, and management in developing countries. Few studies have examined how changes in trade structure and international trade in primary commodities affect forest density. To better understand the relationship between trade, trade structure adjustment, and forest density, this study examined 52 developing countries across four income levels: high income (HI), low income (LI), upper-middle income (UMI), and lower-middle income (LMI). We compared studies on historical changes in forest cover with those on forest density. For alternative outcomes, we used a generalized method of moments (GMM) model for the entire panel and a random-effects model for various income categories. The results show that the percentage of non-primary goods exported (PNPEXP) and total manufacturing and services exported (TEXP) significantly impact forest density. This suggests that trade and trade structure can improve a country’s forest density conditions.</div></div>","PeriodicalId":45743,"journal":{"name":"Chinese Journal of Population Resources and Environment","volume":"23 2","pages":"Pages 246-260"},"PeriodicalIF":4.8000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the relationship between trade adjustment and forest density in lower, lower-middle, upper-middle, and high-income countries\",\"authors\":\"Rizwan Akhtar , Jamal Hussain , Zhuang Miao , Lingchao Li , Tran Cuong , Baodong Cheng , Rashid Ali , Sajjad Haider , Hajira Murad Ali\",\"doi\":\"10.1016/j.cjpre.2025.05.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Forests are essential for both ecological and economic aspects. Most rural people in developing countries rely on forest resources for their livelihood. Since 1980, trade has substantially affected forest cover, density, and management in developing countries. Few studies have examined how changes in trade structure and international trade in primary commodities affect forest density. To better understand the relationship between trade, trade structure adjustment, and forest density, this study examined 52 developing countries across four income levels: high income (HI), low income (LI), upper-middle income (UMI), and lower-middle income (LMI). We compared studies on historical changes in forest cover with those on forest density. For alternative outcomes, we used a generalized method of moments (GMM) model for the entire panel and a random-effects model for various income categories. The results show that the percentage of non-primary goods exported (PNPEXP) and total manufacturing and services exported (TEXP) significantly impact forest density. This suggests that trade and trade structure can improve a country’s forest density conditions.</div></div>\",\"PeriodicalId\":45743,\"journal\":{\"name\":\"Chinese Journal of Population Resources and Environment\",\"volume\":\"23 2\",\"pages\":\"Pages 246-260\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese Journal of Population Resources and Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2325426225000324\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Population Resources and Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2325426225000324","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Understanding the relationship between trade adjustment and forest density in lower, lower-middle, upper-middle, and high-income countries
Forests are essential for both ecological and economic aspects. Most rural people in developing countries rely on forest resources for their livelihood. Since 1980, trade has substantially affected forest cover, density, and management in developing countries. Few studies have examined how changes in trade structure and international trade in primary commodities affect forest density. To better understand the relationship between trade, trade structure adjustment, and forest density, this study examined 52 developing countries across four income levels: high income (HI), low income (LI), upper-middle income (UMI), and lower-middle income (LMI). We compared studies on historical changes in forest cover with those on forest density. For alternative outcomes, we used a generalized method of moments (GMM) model for the entire panel and a random-effects model for various income categories. The results show that the percentage of non-primary goods exported (PNPEXP) and total manufacturing and services exported (TEXP) significantly impact forest density. This suggests that trade and trade structure can improve a country’s forest density conditions.
期刊介绍:
The Chinese Journal of Population, Resources and Environment (CJPRE) is a peer-reviewed international academic journal that publishes original research in the fields of economic, population, resource, and environment studies as they relate to sustainable development. The journal aims to address and evaluate theoretical frameworks, capability building initiatives, strategic goals, ethical values, empirical research, methodologies, and techniques in the field. CJPRE began publication in 1992 and is sponsored by the Chinese Society for Sustainable Development (CSSD), the Research Center for Sustainable Development of Shandong Province, the Administrative Center for China's Agenda 21 (ACCA21), and Shandong Normal University. The Chinese title of the journal was inscribed by the former Chinese leader, Mr. Deng Xiaoping. Initially focused on China's advances in sustainable development, CJPRE now also highlights global developments from both developed and developing countries.