Business entertainment, anticorruption, and innovation: evidence from China

This paper examines how business entertainment expenses (BEEs), often regarded as grease money, affect corporate innovation. Using hand-collected BEE data from Chinese listed firms’ annual reports, we construct a panel of 30,353 firm-year observations over 2010–2022. Poisson regressions show that a 0.1-percentage-point increase in BEEs relative to sales is associated with 0.46% and 0.54% increases in patent applications and grants, respectively. To identify the effects of anti-corruption enforcement on innovation, we exploit China’s 2012 anti-corruption campaign in a difference-in-differences design, comparing firms with high and low pre-campaign BEE intensity in a balanced panel of 1,075 firms covering 2010–2015. Following the campaign, patent applications and grants fall by 26% and 21%, respectively, among high-BEE firms relative to low-BEE firms. Low-BEE firms benefit from positive spillovers arising from the reallocation of government subsidies, while social trust and public scrutiny strengthen the campaign’s disciplining effect on high-BEE firms. These findings highlight the dual effects of anti-corruption enforcement on innovation: disrupting the exchange of BEEs for favours constrains innovation among corruption-dependent firms, while fairer resource allocation benefits firms that are less dependent on such exchanges.

Authors

Institutions

Publication Details

Journal
Applied Economics
Published
2026-10-15
DOI
https://doi.org/10.1080/00036846.2026.2747852
Primary Topic
Corruption and Economic Development
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Business entertainment, anticorruption, and innovation: evidence from China

Lijuan Zhang, 李晓荣, Juncheng Hu
Applied Economics
Corruption and Economic Development
article

Business entertainment, anticorruption, and innovation: evidence from China

Lijuan Zhang, 李晓荣, Juncheng Hu
article en

Abstract

This paper examines how business entertainment expenses (BEEs), often regarded as grease money, affect corporate innovation. Using hand-collected BEE data from Chinese listed firms’ annual reports, we construct a panel of 30,353 firm-year observations over 2010–2022. Poisson regressions show that a 0.1-percentage-point increase in BEEs relative to sales is associated with 0.46% and 0.54% increases in patent applications and grants, respectively. To identify the effects of anti-corruption enforcement on innovation, we exploit China’s 2012 anti-corruption campaign in a difference-in-differences design, comparing firms with high and low pre-campaign BEE intensity in a balanced panel of 1,075 firms covering 2010–2015. Following the campaign, patent applications and grants fall by 26% and 21%, respectively, among high-BEE firms relative to low-BEE firms. Low-BEE firms benefit from positive spillovers arising from the reallocation of government subsidies, while social trust and public scrutiny strengthen the campaign’s disciplining effect on high-BEE firms. These findings highlight the dual effects of anti-corruption enforcement on innovation: disrupting the exchange of BEEs for favours constrains innovation among corruption-dependent firms, while fairer resource allocation benefits firms that are less dependent on such exchanges.

Applied Economics
Australian National University (AU), Bond University (AU), Central University of Finance and Economics (CN)
National Natural Science Foundation of China
Peace, justice, and strong institutions, Decent work and economic growth
Openalex Percentile: Top 6%
Corruption and Economic Development
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.