Eduardo Rodrigues Sanguinet , Carlos Roberto Azzoni
{"title":"Carbon emissions drivers in Brazilian regional production chains: Value-added and consumption-based approaches","authors":"Eduardo Rodrigues Sanguinet , Carlos Roberto Azzoni","doi":"10.1016/j.rspp.2024.100015","DOIUrl":null,"url":null,"abstract":"<div><p>This article aims to analyse carbon emissions in Brazil by decomposing consumption and income-based structural factors from 2011 to 2018. It utilizes environmentally interregional input-output models to quantify these factors. The findings reveal an imbalanced pattern of carbon generation, with economically prosperous regions driving emissions due to demand and supply factors. Production structure and economic activity are key drivers of CO2 emissions on the consumption and value-added side. Wealthier areas in Brazil, known for diverse and value-added production, have lower emission-intensive industries. However, those areas economically benefit from emissions generated by resource-intensive sectors in less prosperous regions. These findings highlight the need to distribute emissions responsibility spatially and implement measures to penalize regions benefiting from primary factor utilization. By promoting equitable environmental responsibility, policies can encourage sustainability and discourage emissions concentration in economically advantaged areas.</p></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S175778022400043X/pdfft?md5=15a02278d4e61c8963f6527898a6e44f&pid=1-s2.0-S175778022400043X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional Science Policy and Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S175778022400043X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
This article aims to analyse carbon emissions in Brazil by decomposing consumption and income-based structural factors from 2011 to 2018. It utilizes environmentally interregional input-output models to quantify these factors. The findings reveal an imbalanced pattern of carbon generation, with economically prosperous regions driving emissions due to demand and supply factors. Production structure and economic activity are key drivers of CO2 emissions on the consumption and value-added side. Wealthier areas in Brazil, known for diverse and value-added production, have lower emission-intensive industries. However, those areas economically benefit from emissions generated by resource-intensive sectors in less prosperous regions. These findings highlight the need to distribute emissions responsibility spatially and implement measures to penalize regions benefiting from primary factor utilization. By promoting equitable environmental responsibility, policies can encourage sustainability and discourage emissions concentration in economically advantaged areas.
期刊介绍:
Regional Science Policy & Practice (RSPP) is the official policy and practitioner orientated journal of the Regional Science Association International. It is an international journal that publishes high quality papers in applied regional science that explore policy and practice issues in regional and local development. It welcomes papers from a range of academic disciplines and practitioners including planning, public policy, geography, economics and environmental science and related fields. Papers should address the interface between academic debates and policy development and application. RSPP provides an opportunity for academics and policy makers to develop a dialogue to identify and explore many of the challenges facing local and regional economies.