{"title":"巴西农业多样化的决定因素:空间计量经济学分析","authors":"J. Parré, A. Chagas","doi":"10.22004/AG.ECON.315290","DOIUrl":null,"url":null,"abstract":"This research has as main objective to analyze the behavior and the importance of agricultural diversification for Brazil, considering its States, for the period from 2002 to 2018. We will propose an analytical model to make it possible to identify the determinants of agricultural diversification in Brazil. Empirically, the study estimates an SLX model using panel data and considers the spillover effects, highlighting the importance of location and neighborhood. The study's findings indicate a continued decline in crop diversity with a strong tendency to productive specialization in Brazilian agriculture, mainly in the states located in the Midwest and South regions of the country. The average growth rates of the indices presented negative values for the analysis period: − 0.41% per year for the Simpson index, − 0.58% per year for the Shannon index, and − 0.91% per year for the effective number of crops. It is important to note that some states are allocating practically the entire agricultural area to three or four dominant crops. As for the determinants of agricultural diversification, the results for Brazil are in line with the specialized literature.","PeriodicalId":44710,"journal":{"name":"Letters in Spatial and Resource Sciences","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Determinants of agricultural diversification in Brazil: a spatial econometric analysis\",\"authors\":\"J. Parré, A. Chagas\",\"doi\":\"10.22004/AG.ECON.315290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research has as main objective to analyze the behavior and the importance of agricultural diversification for Brazil, considering its States, for the period from 2002 to 2018. We will propose an analytical model to make it possible to identify the determinants of agricultural diversification in Brazil. Empirically, the study estimates an SLX model using panel data and considers the spillover effects, highlighting the importance of location and neighborhood. The study's findings indicate a continued decline in crop diversity with a strong tendency to productive specialization in Brazilian agriculture, mainly in the states located in the Midwest and South regions of the country. The average growth rates of the indices presented negative values for the analysis period: − 0.41% per year for the Simpson index, − 0.58% per year for the Shannon index, and − 0.91% per year for the effective number of crops. It is important to note that some states are allocating practically the entire agricultural area to three or four dominant crops. As for the determinants of agricultural diversification, the results for Brazil are in line with the specialized literature.\",\"PeriodicalId\":44710,\"journal\":{\"name\":\"Letters in Spatial and Resource Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2022-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Letters in Spatial and Resource Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22004/AG.ECON.315290\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Letters in Spatial and Resource Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22004/AG.ECON.315290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Determinants of agricultural diversification in Brazil: a spatial econometric analysis
This research has as main objective to analyze the behavior and the importance of agricultural diversification for Brazil, considering its States, for the period from 2002 to 2018. We will propose an analytical model to make it possible to identify the determinants of agricultural diversification in Brazil. Empirically, the study estimates an SLX model using panel data and considers the spillover effects, highlighting the importance of location and neighborhood. The study's findings indicate a continued decline in crop diversity with a strong tendency to productive specialization in Brazilian agriculture, mainly in the states located in the Midwest and South regions of the country. The average growth rates of the indices presented negative values for the analysis period: − 0.41% per year for the Simpson index, − 0.58% per year for the Shannon index, and − 0.91% per year for the effective number of crops. It is important to note that some states are allocating practically the entire agricultural area to three or four dominant crops. As for the determinants of agricultural diversification, the results for Brazil are in line with the specialized literature.
期刊介绍:
Letters in Spatial and Resource Sciences (LSRS) publishes high-quality, shorter papers on new theoretical or empirical results and on models and methods in the social sciences that contain a spatial dimension. Coverage includes environmental and resource economics, regional and urban economics, spatial econometrics, regional science, geography, demography, agricultural economics, GIS and city and regional planning. Examples of topics include, but are not limited to, environmental damage, urbanization, resource allocation, spatial-temporal data use, regional economic development and the application of existing and new methodologies.LSRS contributes to the communication of theories and methodologies across disciplinary borders. It offers quick dissemination and easy accessibility of new results. Officially cited as: Lett Spat Resour Sci