Digital Economy, Consumption Upgrading and Domestic Demand Level: An Empirical Analysis of PVAR Based on Provincial Panel Data

This study selects provincial panel data from 2008 to 2019 and constructs a panel vector autoregressive (PVAR) model to explore the bidirectional interactive relationship between digital economy, consumption upgrading and domestic demand level through the Granger causality test, the analysis of impu...

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Main Authors: Jianhong Fan, Jiaxuan Zhang, Huichao Wu, Chen Liang
Format: Article
Language:English
Published: SAGE Publishing 2024-11-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/21582440241277766
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author Jianhong Fan
Jiaxuan Zhang
Huichao Wu
Chen Liang
author_facet Jianhong Fan
Jiaxuan Zhang
Huichao Wu
Chen Liang
author_sort Jianhong Fan
collection DOAJ
description This study selects provincial panel data from 2008 to 2019 and constructs a panel vector autoregressive (PVAR) model to explore the bidirectional interactive relationship between digital economy, consumption upgrading and domestic demand level through the Granger causality test, the analysis of impulse response function and variance decomposition. Firstly, the GMM estimation results show that there is a significant bidirectional interactive effect between digital economy and domestic demand level, and a significant bidirectional interactive effect between digital economy and consumption upgrading, while the interactive effect between consumption upgrading and domestic demand level is weak. Secondly, the analysis of impulse response function shows that domestic demand level can sustainably promote the development of digital economy, and the promotion effect of digital economy on domestic demand level is immediate. However, in the long run, digital economy has a gradually weakening hindering effect on domestic demand level. Digital economy and consumption upgrading show a “V-shaped” relationship. The shackles of mutual promotion between consumption structure and scale still exist. Thirdly, the analysis of variance decomposition shows that the mutual contribution rate of digital economy and domestic demand level is low, the mutual contribution rate of digital economy and consumption upgrading is high, and the mutual contribution rate of consumption upgrading and domestic demand level is low. The implications in this study can help drive digital economy development, promote consumption upgrading and raise domestic demand level.
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publishDate 2024-11-01
publisher SAGE Publishing
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spelling doaj-art-a5dbfe8aa9a2407aad30f1a29b0a4cda2025-08-20T02:50:34ZengSAGE PublishingSAGE Open2158-24402024-11-011410.1177/21582440241277766Digital Economy, Consumption Upgrading and Domestic Demand Level: An Empirical Analysis of PVAR Based on Provincial Panel DataJianhong Fan0Jiaxuan Zhang1Huichao Wu2Chen Liang3 Taiyuan University of Technology, Taiyuan, Shanxi, China Taiyuan University of Technology, Taiyuan, Shanxi, China Nankai University, Tianjin, China Taiyuan University of Technology, Taiyuan, Shanxi, ChinaThis study selects provincial panel data from 2008 to 2019 and constructs a panel vector autoregressive (PVAR) model to explore the bidirectional interactive relationship between digital economy, consumption upgrading and domestic demand level through the Granger causality test, the analysis of impulse response function and variance decomposition. Firstly, the GMM estimation results show that there is a significant bidirectional interactive effect between digital economy and domestic demand level, and a significant bidirectional interactive effect between digital economy and consumption upgrading, while the interactive effect between consumption upgrading and domestic demand level is weak. Secondly, the analysis of impulse response function shows that domestic demand level can sustainably promote the development of digital economy, and the promotion effect of digital economy on domestic demand level is immediate. However, in the long run, digital economy has a gradually weakening hindering effect on domestic demand level. Digital economy and consumption upgrading show a “V-shaped” relationship. The shackles of mutual promotion between consumption structure and scale still exist. Thirdly, the analysis of variance decomposition shows that the mutual contribution rate of digital economy and domestic demand level is low, the mutual contribution rate of digital economy and consumption upgrading is high, and the mutual contribution rate of consumption upgrading and domestic demand level is low. The implications in this study can help drive digital economy development, promote consumption upgrading and raise domestic demand level.https://doi.org/10.1177/21582440241277766
spellingShingle Jianhong Fan
Jiaxuan Zhang
Huichao Wu
Chen Liang
Digital Economy, Consumption Upgrading and Domestic Demand Level: An Empirical Analysis of PVAR Based on Provincial Panel Data
SAGE Open
title Digital Economy, Consumption Upgrading and Domestic Demand Level: An Empirical Analysis of PVAR Based on Provincial Panel Data
title_full Digital Economy, Consumption Upgrading and Domestic Demand Level: An Empirical Analysis of PVAR Based on Provincial Panel Data
title_fullStr Digital Economy, Consumption Upgrading and Domestic Demand Level: An Empirical Analysis of PVAR Based on Provincial Panel Data
title_full_unstemmed Digital Economy, Consumption Upgrading and Domestic Demand Level: An Empirical Analysis of PVAR Based on Provincial Panel Data
title_short Digital Economy, Consumption Upgrading and Domestic Demand Level: An Empirical Analysis of PVAR Based on Provincial Panel Data
title_sort digital economy consumption upgrading and domestic demand level an empirical analysis of pvar based on provincial panel data
url https://doi.org/10.1177/21582440241277766
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AT jiaxuanzhang digitaleconomyconsumptionupgradinganddomesticdemandlevelanempiricalanalysisofpvarbasedonprovincialpaneldata
AT huichaowu digitaleconomyconsumptionupgradinganddomesticdemandlevelanempiricalanalysisofpvarbasedonprovincialpaneldata
AT chenliang digitaleconomyconsumptionupgradinganddomesticdemandlevelanempiricalanalysisofpvarbasedonprovincialpaneldata