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논문검색

The Impact of Enterprise Intelligent Transformation on Total Factor Productivity

원문정보

Sun Han, Lee JaeHo, Kang Hyoung-Goo, Bao Ya-Lan

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초록

영어

This study examines the impact of Enterprise Intelligent Transformation (EIT) on Total Factor Productivity (TFP), drawing on techno-economic paradigm theory. We analyze the effects of investments in intelligent technologies on TFP over short and long terms. Findings from data across industries show a significant positive relationship between EIT investments and TFP, indicating the critical role of intelligent technologies in enhancing productivity and economic growth. The results highlight the importance of EIT for firms in the era of the Fourth Industrial Revolution and suggest directions for future research, including the exploration of EIT's qualitative impacts and its effects across different sectors.

목차

Ⅰ. Introduction
Ⅱ. Theoretical Background and Hypotheses
2.1 Techno Economic Paradigm Theory
Ⅲ. Study Design and Model Building
3.1 Data
3.2 Variables
3.3 Model Building
Ⅳ. Empirical Results
4.1 Descriptive Statistics
4.2 Correlation Analysis
4.3 Benchmark regression
Ⅴ. Policy Efficacy and Robustness Analysis ofMargin Financing
Ⅵ. Conclusion
References

저자정보

  • Sun Han Ph.D. Candidate, Dept. of Computer Science and Financial Engineering, Hanyang University
  • Lee JaeHo Ph.D Candidate, Dept. of Business Administration
  • Kang Hyoung-Goo Professor, Dept. of Finance Management, Hanyang University
  • Bao Ya-Lan The Master's Course, Dept. of Business Administration, Hankuk University of Foreign Studies

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