{"title":"Analysis of Labor Embodied in China’s Inter-regional Trade in Value-Added: Re-Examination of Leontief’s Paradox from the Perspective of Energy Use","authors":"Bingqian Yan, Zhenxia Wang","doi":"10.1142/s234574812150024x","DOIUrl":null,"url":null,"abstract":"Based on the multi-regional input-output framework, this paper analyzed the labor and energy transfer embodied in interregional trade in China. Meanwhile, through estimating the energy intensity per unit of labor embodied in final products in each region, this study examines whether the empirical results are consistent with the theoretical hypothesis and provides relevant explanations and industrial development suggestions. Results show that east coastal region and central region are the two main participants in interregional trade. As for the labor embodied in trade, east coastal region is the largest exporter of embodied labor, though it has the highest wage among eight regions; in contrast, north coastal and southwestern region, with relatively low wage, are the two largest importer of embodied labor. As for the energy embodied in trade, northwestern region is the largest exporter of embodied energy. Further analysis indicates that the energy intensity per unit of labor in region with relatively low GRP (such as northwestern region) is the highest, whereas those in Beijing-Tianjin Region and south coastal region (with relatively high GRP) are the lowest. By analyzing the Revealed Comparative Advantage in each region, the paper finds that the main reason for this inconsistency lies in the industrial structure in northwestern and north coastal region, which are highly dependent in primary industries. Improving the infrastructure and upgrading industrial structure are important steps for these regions to transform the extensive growth mode.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2021-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Urban and Environmental Studies","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1142/s234574812150024x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"URBAN STUDIES","Score":null,"Total":0}
引用次数: 1
Abstract
Based on the multi-regional input-output framework, this paper analyzed the labor and energy transfer embodied in interregional trade in China. Meanwhile, through estimating the energy intensity per unit of labor embodied in final products in each region, this study examines whether the empirical results are consistent with the theoretical hypothesis and provides relevant explanations and industrial development suggestions. Results show that east coastal region and central region are the two main participants in interregional trade. As for the labor embodied in trade, east coastal region is the largest exporter of embodied labor, though it has the highest wage among eight regions; in contrast, north coastal and southwestern region, with relatively low wage, are the two largest importer of embodied labor. As for the energy embodied in trade, northwestern region is the largest exporter of embodied energy. Further analysis indicates that the energy intensity per unit of labor in region with relatively low GRP (such as northwestern region) is the highest, whereas those in Beijing-Tianjin Region and south coastal region (with relatively high GRP) are the lowest. By analyzing the Revealed Comparative Advantage in each region, the paper finds that the main reason for this inconsistency lies in the industrial structure in northwestern and north coastal region, which are highly dependent in primary industries. Improving the infrastructure and upgrading industrial structure are important steps for these regions to transform the extensive growth mode.