The Digital Economy and Rural Household Consumption: A Quasi‐natural Experiment Based on the National Rural E‐commerce Comprehensive Demonstration Project

Abstract E‐commerce has become a driver of economic development in China. Drawing on China Household Finance Survey data from 2013 to 2023, this study examined the impact of the National Rural E‐commerce Comprehensive Demonstration Project (NRECDP) on rural household consumption using a staggered difference‐in‐differences model. The results indicated that the NRECDP increased per capita consumption of rural households by RMB 321. Mechanism analysis revealed two main channels: First, the NRECDP promoted rural household participation in online sales, encouraged changes in planting structures, and raised income from agricultural sales, thereby easing liquidity constraints and stimulating consumption. Second, the project boosted online shopping, particularly in regions with limited market access and small market size, suggesting that it reduced transaction costs and geographic barriers, thereby unlocking latent consumption potential. Heterogeneity analysis showed that the digital economy had a stronger positive effect on households with lower education levels, those without formal loans, and the elderly. Further analysis demonstrated a synergistic effect between digital finance and the project in promoting rural consumption.

Authors

Institutions

Publication Details

Journal
China & World Economy
Published
2025-09-01
DOI
https://doi.org/10.1111/cwe.12608
Citations
3
Primary Topic
ICT Impact and Policies
Type
article
Field-Weighted Citation Impact
3.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Digital Economy and Rural Household Consumption: A Quasi‐natural Experiment Based on the National Rural E‐commerce Comprehensive Demonstration Project

Yu Yan, Zhichao Yin, Zhou Wu
3 citations
China & World Economy
ICT Impact and Policies
3.41
article

The Digital Economy and Rural Household Consumption: A Quasi‐natural Experiment Based on the National Rural E‐commerce Comprehensive Demonstration Project

Yu Yan, Zhichao Yin, Zhou Wu
article en
3 citations

Abstract

Abstract E‐commerce has become a driver of economic development in China. Drawing on China Household Finance Survey data from 2013 to 2023, this study examined the impact of the National Rural E‐commerce Comprehensive Demonstration Project (NRECDP) on rural household consumption using a staggered difference‐in‐differences model. The results indicated that the NRECDP increased per capita consumption of rural households by RMB 321. Mechanism analysis revealed two main channels: First, the NRECDP promoted rural household participation in online sales, encouraged changes in planting structures, and raised income from agricultural sales, thereby easing liquidity constraints and stimulating consumption. Second, the project boosted online shopping, particularly in regions with limited market access and small market size, suggesting that it reduced transaction costs and geographic barriers, thereby unlocking latent consumption potential. Heterogeneity analysis showed that the digital economy had a stronger positive effect on households with lower education levels, those without formal loans, and the elderly. Further analysis demonstrated a synergistic effect between digital finance and the project in promoting rural consumption.

China & World EconomyVol. 33(5)
Sichuan Agricultural University (CN), Jiangxi University of Finance and Economics (CN), Capital University of Economics and Business (CN)
Openalex Percentile: Top 6%
ICT Impact and Policies
3.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.