{"title":"巴西应该首先刺激哪些行业?评估将经济拉出衰退的行业力量","authors":"Henrique Morrone","doi":"10.1016/j.inveco.2017.05.001","DOIUrl":null,"url":null,"abstract":"<div><p><strong>T</strong>he current recession in Brazil has provoked intense discussion concerning ways to boost economic activity. This paper intends to contribute to the debate by ranking the sectors that have the power to pull the economy out of the recession when they are stimulated, employing the eigenvector method developed by <span>Dietzenbacher (1992)</span>. To that end, we first estimated the input-output (I-O) matrix for 2013 applying <span>Guilhoto and Sesso (2005)</span>’s methodology and build an I-O matrix from the National Statistical Accounts. Later, we employed the eigenvector method to find the inter-sector backward linkages and ranked them. The results highlight the importance of petroleum refining and coke, resin manufacturing and elastomers, various chemical products and preparations, and chemicals to boost the recovery of the economy. Nonetheless, the traditional sectors of construction and automotive manufacturing exhibited poor and modest results respectively.</p></div>","PeriodicalId":44170,"journal":{"name":"Investigacion Economica","volume":"76 302","pages":"Pages 55-75"},"PeriodicalIF":0.6000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.inveco.2017.05.001","citationCount":"3","resultStr":"{\"title\":\"Which sectors to stimulate first in Brazil? Estimating the sectoral power to pull the economy out of the recession\",\"authors\":\"Henrique Morrone\",\"doi\":\"10.1016/j.inveco.2017.05.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><strong>T</strong>he current recession in Brazil has provoked intense discussion concerning ways to boost economic activity. This paper intends to contribute to the debate by ranking the sectors that have the power to pull the economy out of the recession when they are stimulated, employing the eigenvector method developed by <span>Dietzenbacher (1992)</span>. To that end, we first estimated the input-output (I-O) matrix for 2013 applying <span>Guilhoto and Sesso (2005)</span>’s methodology and build an I-O matrix from the National Statistical Accounts. Later, we employed the eigenvector method to find the inter-sector backward linkages and ranked them. The results highlight the importance of petroleum refining and coke, resin manufacturing and elastomers, various chemical products and preparations, and chemicals to boost the recovery of the economy. Nonetheless, the traditional sectors of construction and automotive manufacturing exhibited poor and modest results respectively.</p></div>\",\"PeriodicalId\":44170,\"journal\":{\"name\":\"Investigacion Economica\",\"volume\":\"76 302\",\"pages\":\"Pages 55-75\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.inveco.2017.05.001\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Investigacion Economica\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0185166718300031\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Investigacion Economica","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0185166718300031","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
Which sectors to stimulate first in Brazil? Estimating the sectoral power to pull the economy out of the recession
The current recession in Brazil has provoked intense discussion concerning ways to boost economic activity. This paper intends to contribute to the debate by ranking the sectors that have the power to pull the economy out of the recession when they are stimulated, employing the eigenvector method developed by Dietzenbacher (1992). To that end, we first estimated the input-output (I-O) matrix for 2013 applying Guilhoto and Sesso (2005)’s methodology and build an I-O matrix from the National Statistical Accounts. Later, we employed the eigenvector method to find the inter-sector backward linkages and ranked them. The results highlight the importance of petroleum refining and coke, resin manufacturing and elastomers, various chemical products and preparations, and chemicals to boost the recovery of the economy. Nonetheless, the traditional sectors of construction and automotive manufacturing exhibited poor and modest results respectively.
期刊介绍:
It is a specialized journal, bilingual (Spanish and English), plural and critical, which accepts and publishes scientific research articles in national and international economy. It is considered a public good that belongs to the University and society. Its vocation is to analyze the evolution of the theoretical and practical economics. In its pages the paradigms of economics, history of economic thought, the theories and debates about economic policy and its consequences, the diagnosis of the Mexican economy, the economic development of Latin America and the problems spread the world economy in general. It is a journal that does not discriminate plural none paradigm; theoretical orientation is unorthodox for epistemological reasons, not ideological preferences.