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• W4387494886 abstract "ABSTRACTThe Digital Economy (DE) has dramatically changed our lives and economies. However, few have systematically quantified the economic impact of DE. To this end, we propose a systematic input-output framework to analyse the economic impact of DE. We detangle the intertwined relations between digital sectors and upstream and downstream sectors by evaluating the embodied and enabled value-added. Then we use the structural path analysis to find the core transmission paths between the digital and upstream and downstream sectors. Further, we use the structural decomposition analysis to determine the main drivers of DE affecting the embodied and enabled value-added. Our findings are as follows. First, the digital sectors have significantly driven the value-added of upstream and downstream sectors. Second, there is heterogeneity in the roles of the digital device and service sectors. Third, on the value-added path, The Other services sector is the non-digital sector, which is closely related to the digital sectors. Finally, the expanding digital demand and primary input are the major driving forces for China’s rapid digital-embodied and digital-enabled value-added growth.KEYWORDS: Digital economyembodied value-addedenabled value-addedstructural path analysisstructural decomposition analysisJEL CLASSIFICATION: C67C82D57F63R15 DataWe use the monetary IO tables of 2002, 2007, 2012, 2017, 2018, and 2020 from Chinese National Bureau of Statistics, which are available at the website https://data.stats.gov.cn/ifnormal.htm?u=/files/html/quickSearch/trcc/trcc01.html&h=740Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 The Chinese IO tables used in this paper are publicly available at the website https://data.stats.gov.cn/ifnormal.htm?u=/files/html/quickSearch/trcc/trcc01.html&h=740.2 We use italic font to denote scalars (including elements of a matrix or vector), bold lowercase font to denote vectors (columns by definition), and bold uppercase font to denote matrices.3 The symbol ‘’’ means to transpose the matrix.4 To simplify the expression, the subscript d in Ld and Gd will not appear.5 The symbol ‘^’ means to diagonalize the matrix.6 We only show the top 10 paths for convenience and will show more in Appendix D.7 The formula for calculating the growth rate is ‘rate2002–2020 = (V2020-V2002)/V2002’, ‘V’ means the total value of this type of value-added and the data has been shown in Table 2. The growth rate below is also calculated in this way..Additional informationFundingThis work was supported by the Major Program of National Fund of Philosophy and Social Science of China [18ZDA068]; National Natural Science Foundation of China [72203058]; Project of Philosophy and Social Science in Hunan Province [22JD009]; Project funded by China Postdoctoral Science Foundation [2021M701164, 2022T150204]." @default.
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• W4387494886 date "2023-10-10" @default.
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• W4387494886 title "How does the digital economy affect value-added in China? Dual perspectives from digital demand and supply" @default.
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• W4387494886 doi "https://doi.org/10.1080/00036846.2023.2266604" @default.
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