摘要
随着技术的进步,企业数字化转型成为企业打造竞争优势、提升治理能力的关键路径。本文以2012年至2024年期间A股市场的高新制造业企业为研究对象,利用双重机器学习模型,探讨税收优惠政策对企业数字化转型的影响。研究结果显示,税收优惠政策显著促进了高新制造业企业的数字化转型;机制分析表明,税收优惠政策通过促进企业增加研发投入、缓解融资约束以及降低经营管理成本来推动企业数字化转型。此外,异质性分析发现,税收优惠政策对非国有企业、技术密集型企业和东部地区企业的促进效果更为显著。基于此,本文从优化企业创新产出激励、完善税收返还政策、缓解融资约束及实施差异化税收优惠政策等方面提出政策优化建议。
With technological advancement,corporate digital transformation has emerged as a critical driver for enhancing firms'competitive advantage and governance capabilities.This study investigates the impact of tax incentives on corporate digital transformation by focusing on high-tech manufacturing firms listed on China's A-share market from 2012 to 2024.Employing a double machine learning model,the empirical results reveal that tax incentives significantly promote digital transformation among high-tech manufacturing enterprises.Mechanism analysis reveals that the positive effect of tax incentives operates primarily through three channels:increased R&D investment,alleviation of financial constraints,and reduction in operational and managerial costs.Furthermore,heterogeneity analysis shows that the effects are more pronounced for non-state-owned enterprises,technology-intensive firms,and those located in eastern regions.Based on these findings,the study offers policy recommendations aimed at optimizing the design of tax incentives,with a focus on enhancing innovation output,tax rebate efficiency,access to financing,and the implementation of differentiated tax policies.
作者
席卫群
凌兴
Xi Weiqun;Ling Xing
出处
《财政科学》
2025年第8期101-118,共18页
Fiscal Science
基金
国家社会科学基金年度青年项目“促进县域农业数智化转型的税收激励机制研究”(项目编号:24CJY033)
江西省哲学社会科学重点研究基地重点项目“我省科技创新发展状况及税收扶持效果”(项目编号:2022SKJD06)、“消费税改革路径、方案及对我省税收收入的影响”(项目编号:2024ZXSKJD05)。
关键词
税收优惠
数字化转型
高新制造业
双重机器学习
Tax Incentives
Digital Transformation
High-tech Manufacturing
Double Machine Learning
