Influence of remuneration and risk appetite on budgetary slack: Evidence from Chinese manufacturing firms

The influence of executive remuneration and executive risk appetite on budgetary slack is examined in this paper via publicly available data from listed Chinese manufacturing firms from 2017--2021, and the moderating effect of firm size on this relationship is discussed. In this paper, we include the first-order lagged term of budgetary slack as a dependent variable in the regression analysis, construct dynamic panel data, and estimate it via a two-stage system GMM. The results show that executive remuneration and executive risk appetite significantly dampen budgetary slack, and the moderating effect reveals that this relationship varies on the basis of firm size, demonstrating the firm size sensitivity of budgetary slack. Robustness tests reinforce the consistency of these results, and the two-stage system GMM also confirms that the model constructed in this paper does not suffer from endogeneity problems. These insights emphasize the key synergistic effects of improving executive remuneration systems and establishing a system for evaluating executive risk appetite on the sustainability of listed firms and provide valuable guiding recommendations for policymakers and business leaders aiming to improve the quality of corporate governance through sustainable practices.

Authors

Institutions

Publication Details

Journal
Multidisciplinary Science Journal
Published
2025-05-08
DOI
https://doi.org/10.31893/multiscience.2025517
Primary Topic
Financial Reporting and Valuation Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of remuneration and risk appetite on budgetary slack: Evidence from Chinese manufacturing firms

Noorul Azwin Md Nasir, Zaminor Zamzamir Zamzamin, Amira Jamil, Bin Jia et al.
Multidisciplinary Science Journal
Financial Reporting and Valuation Research
article

Influence of remuneration and risk appetite on budgetary slack: Evidence from Chinese manufacturing firms

Noorul Azwin Md Nasir, Zaminor Zamzamir Zamzamin, Amira Jamil, Bin Jia, Ke Shen
article en

Abstract

The influence of executive remuneration and executive risk appetite on budgetary slack is examined in this paper via publicly available data from listed Chinese manufacturing firms from 2017--2021, and the moderating effect of firm size on this relationship is discussed. In this paper, we include the first-order lagged term of budgetary slack as a dependent variable in the regression analysis, construct dynamic panel data, and estimate it via a two-stage system GMM. The results show that executive remuneration and executive risk appetite significantly dampen budgetary slack, and the moderating effect reveals that this relationship varies on the basis of firm size, demonstrating the firm size sensitivity of budgetary slack. Robustness tests reinforce the consistency of these results, and the two-stage system GMM also confirms that the model constructed in this paper does not suffer from endogeneity problems. These insights emphasize the key synergistic effects of improving executive remuneration systems and establishing a system for evaluating executive risk appetite on the sustainability of listed firms and provide valuable guiding recommendations for policymakers and business leaders aiming to improve the quality of corporate governance through sustainable practices.

Multidisciplinary Science JournalVol. 7(11)
Universiti Malaysia Kelantan (MY)
Openalex Percentile: Top 74%
Financial Reporting and Valuation Research
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.