{"title":"Determinants of livestock products export in Ethiopia","authors":"Ermyas Kefelegn","doi":"10.59170/stattrans-2023-024","DOIUrl":null,"url":null,"abstract":"Ethiopia has one of the largest livestock populations in Africa. In 2016–2017, the\n share of live animals, leather, and meat in the total export of the country reached\n 9.6%. This paper aims to identify the determinants of the export of Ethiopian livestock\n products by means of vector autoregressive and vector error correction models.\n Multivariate time series is used to model the association between the products of the\n Ethiopian livestock export included in the study. Vector autoregressive and vector error\n correction models are used for modelling and inference. The results indicated the\n existence of a long term correlation between the volume of live animals, meat and\n leather exports. The volume of meat export is significantly affected by a lag occurring\n in the export of live animals in the short-run. Therefore, 3.7% of the shortrun\n imbalance in the volume of leather export is adjusted each quarter. It is suggested that\n the exporters of livestock products should properly utilise the Ethiopian livestock\n resources. On the other hand, the government should offer different forms of support to\n exporters, especially those focusing on exporting value-added products.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Transition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59170/stattrans-2023-024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
Ethiopia has one of the largest livestock populations in Africa. In 2016–2017, the
share of live animals, leather, and meat in the total export of the country reached
9.6%. This paper aims to identify the determinants of the export of Ethiopian livestock
products by means of vector autoregressive and vector error correction models.
Multivariate time series is used to model the association between the products of the
Ethiopian livestock export included in the study. Vector autoregressive and vector error
correction models are used for modelling and inference. The results indicated the
existence of a long term correlation between the volume of live animals, meat and
leather exports. The volume of meat export is significantly affected by a lag occurring
in the export of live animals in the short-run. Therefore, 3.7% of the shortrun
imbalance in the volume of leather export is adjusted each quarter. It is suggested that
the exporters of livestock products should properly utilise the Ethiopian livestock
resources. On the other hand, the government should offer different forms of support to
exporters, especially those focusing on exporting value-added products.
期刊介绍:
Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.