{"title":"尼日利亚农业生产数据评估","authors":"Patrick L. Hatzenbuehler, P. Abbott, T. Abdoulaye","doi":"10.22004/AG.ECON.258606","DOIUrl":null,"url":null,"abstract":"The absence of an agricultural census in Nigeria means that samples for surveys to estimate agricultural production are obtained from a non-comprehensive, non-representative set of farms. Therefore, aggregate production data quality is questioned. The methods employed herein provide a new way to empirically evaluate the quality of agricultural production estimates. Two objective types of data, namely the normalised difference vegetation index (NDVI), a satellite remote-sensing measure of intertemporal vegetation changes, and prices, which reveal supply-use dynamics, are used to analyse the degree to which agricultural production estimates reflect adjustments in growing/ market conditions. Broadly weak relationships were found between the production estimates and these objective measures, but with variations in degree across states. In addition, these two objective measures are more strongly related to each other than either is to production data. The results imply that the inclusion of NDVI and prices in agricultural production estimation models would improve the quality of the Nigerian production estimate.","PeriodicalId":45228,"journal":{"name":"African Journal of Agricultural and Resource Economics-AFJARE","volume":"12 1","pages":"125-141"},"PeriodicalIF":0.4000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Evaluation of Nigerian agricultural production data\",\"authors\":\"Patrick L. Hatzenbuehler, P. Abbott, T. Abdoulaye\",\"doi\":\"10.22004/AG.ECON.258606\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The absence of an agricultural census in Nigeria means that samples for surveys to estimate agricultural production are obtained from a non-comprehensive, non-representative set of farms. Therefore, aggregate production data quality is questioned. The methods employed herein provide a new way to empirically evaluate the quality of agricultural production estimates. Two objective types of data, namely the normalised difference vegetation index (NDVI), a satellite remote-sensing measure of intertemporal vegetation changes, and prices, which reveal supply-use dynamics, are used to analyse the degree to which agricultural production estimates reflect adjustments in growing/ market conditions. Broadly weak relationships were found between the production estimates and these objective measures, but with variations in degree across states. In addition, these two objective measures are more strongly related to each other than either is to production data. The results imply that the inclusion of NDVI and prices in agricultural production estimation models would improve the quality of the Nigerian production estimate.\",\"PeriodicalId\":45228,\"journal\":{\"name\":\"African Journal of Agricultural and Resource Economics-AFJARE\",\"volume\":\"12 1\",\"pages\":\"125-141\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"African Journal of Agricultural and Resource Economics-AFJARE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22004/AG.ECON.258606\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Agricultural and Resource Economics-AFJARE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22004/AG.ECON.258606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
Evaluation of Nigerian agricultural production data
The absence of an agricultural census in Nigeria means that samples for surveys to estimate agricultural production are obtained from a non-comprehensive, non-representative set of farms. Therefore, aggregate production data quality is questioned. The methods employed herein provide a new way to empirically evaluate the quality of agricultural production estimates. Two objective types of data, namely the normalised difference vegetation index (NDVI), a satellite remote-sensing measure of intertemporal vegetation changes, and prices, which reveal supply-use dynamics, are used to analyse the degree to which agricultural production estimates reflect adjustments in growing/ market conditions. Broadly weak relationships were found between the production estimates and these objective measures, but with variations in degree across states. In addition, these two objective measures are more strongly related to each other than either is to production data. The results imply that the inclusion of NDVI and prices in agricultural production estimation models would improve the quality of the Nigerian production estimate.
期刊介绍:
The African Journal of Agricultural and Resource Economics (AfJARE)/Journal Africain d’Economie Agricole et des Ressources (JAEAR) is a publication of the African Association of Agricultural Economists (AAAE). The journal publishes original research about how African agriculture interacts with local and global economic systems and policy regimes in its impacts upon people. The scope of the journal covers the roles of markets, technology, policy, institutions and the natural environment in shaping the lives of well being of Africans engaged in agricultural activities. The journal strives to nurture and enhance the capacity of African professionals to conduct and publish scientific research and provides a venue for communicating and disseminating their findings. Multi-disciplinary, problem-oriented articles are encouraged. Submissions may deal with teaching, research extension, consulting, advising, entrepreneurship and administration. The Chief Editors and Editorial Board, under the general direction of the AAAE President, Executive Committee and Council are charged with implementing Journal policy to serve members of AAAE. The main section of the journal publishes technical research articles while a small section is devoted to publishing brief notes with important policy content and book reviews. The journal is a quarterly publication.