{"title":"农业和就业在中非创造和促进有利于贫困人口的增长中可以发挥什么作用?:来自中东欧地区行业分类成分FMOLS面板的证据","authors":"Zedou Abdala, Sezard Timbi, Samuel Cedric Nkot","doi":"10.2139/ssrn.3877134","DOIUrl":null,"url":null,"abstract":"This paper aims at investigating the structural impacts of sector components of value added and employment on pro poor growth in central African countries between 1994 and 2019. It uses income of lowest 20% and the vast majority income as measures of pro poor growth. The results show that growth in agriculture and natural resources rents reduce pro poor growth when measured by the income share of the lowest 20%. Growth in agriculture still has a negative impact on pro poor growth measured by the growth in vast majority income. Relying on the fully modified ordinary least square (FMOLS) method, the estimates also show that employment in any sector, where significant, improves the pro poorness of growth. In view of the evidence, incentives on agriculture activities rather than non-agricultural to create pro poor growth may have inverse results as these could be held mostly by rich proprietors and exports oriented.","PeriodicalId":320822,"journal":{"name":"Development Economics: Agriculture","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What Role Agriculture and Employment Can Play in Creating and Fostering Pro Poor Growth in Central Africa?: Evidences From FMOLS Panels on Sector Disaggregated Components in CEEAC\",\"authors\":\"Zedou Abdala, Sezard Timbi, Samuel Cedric Nkot\",\"doi\":\"10.2139/ssrn.3877134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims at investigating the structural impacts of sector components of value added and employment on pro poor growth in central African countries between 1994 and 2019. It uses income of lowest 20% and the vast majority income as measures of pro poor growth. The results show that growth in agriculture and natural resources rents reduce pro poor growth when measured by the income share of the lowest 20%. Growth in agriculture still has a negative impact on pro poor growth measured by the growth in vast majority income. Relying on the fully modified ordinary least square (FMOLS) method, the estimates also show that employment in any sector, where significant, improves the pro poorness of growth. In view of the evidence, incentives on agriculture activities rather than non-agricultural to create pro poor growth may have inverse results as these could be held mostly by rich proprietors and exports oriented.\",\"PeriodicalId\":320822,\"journal\":{\"name\":\"Development Economics: Agriculture\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Development Economics: Agriculture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3877134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development Economics: Agriculture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3877134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
What Role Agriculture and Employment Can Play in Creating and Fostering Pro Poor Growth in Central Africa?: Evidences From FMOLS Panels on Sector Disaggregated Components in CEEAC
This paper aims at investigating the structural impacts of sector components of value added and employment on pro poor growth in central African countries between 1994 and 2019. It uses income of lowest 20% and the vast majority income as measures of pro poor growth. The results show that growth in agriculture and natural resources rents reduce pro poor growth when measured by the income share of the lowest 20%. Growth in agriculture still has a negative impact on pro poor growth measured by the growth in vast majority income. Relying on the fully modified ordinary least square (FMOLS) method, the estimates also show that employment in any sector, where significant, improves the pro poorness of growth. In view of the evidence, incentives on agriculture activities rather than non-agricultural to create pro poor growth may have inverse results as these could be held mostly by rich proprietors and exports oriented.