정진정 교수
Jinjing Zhao
한양대학교 국제학부 · 경영학
연구실 소개
정진정 교수의 연구실은 중국 기업의 해외 투자 동향과 그 배경 요인을 다각도로 분석하는 데 초점을 맞추고 있습니다. 특히 일대일로(신화로)와 '중국제조2025'와 같은 국가 전략이 국영기업과 민간기업 간에 어떻게 다르게 작용하는지, 그리고 디지털 전환과 ESG 성과, 온라인 유통의 소비자 만족도 등 현대 기업의 지속 가능성과 전략적 의사결정을 탐구합니다. 연구는 기업 이질성과 정책 기반의 투자 영향을 기업 수준 데이터를 바탕으로 실증적으로 분석합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15This study analyses Chinese enterprises’ outward foreign direct investment (OFDI) from the perspectives of the Belt and Road Initiative (BRI) and home-country enterprise heterogeneity. It analyses the roles of BRI and the Asian Infrastructure Investment Bank (AIIB) in China’s OFDI using enterprise-level data for 2008–2017 from China Global Investment Tracker on Chinese enterprises’ OFDI in 128 countries. The results show that the roles of the BRI or AIIB in Chinese enterprises’ OFDI varies based
The study empirically examines the impact of firm digital transformation (DT) on the performance of Chinese-listed enterprises in the areas of environmental, social, and governance (ESG) from 2013 to 2022. We utilized OLS, IV 2SLS causal mediating effect, and moderating effect models to analyze the linkages and deep mechanisms between corporate DT and ESG performance. The empirical findings demonstrate that (i) DT has an effectively positive effect on the performance of firms’ ESG; (ii) DT enhan
In order to improve the satisfaction of online retail consumers and explore the process of forming consumer loyalty during the COVID-19 pandemic, this research combines the theories of perceived value and affect-as-information, taking cold chain logistics services (PDS) as an example to discuss the influence of PDS quality (PDSQ) of online retail cold chain on consumers' psychological emotion (satisfaction and psychological distress), attitude, and behaviour (loyalty). We collected 350 valid res
Purpose The study aims to analyze the role of the Made in China 2025 (MIC2025) initiative in China's Outward Foreign Direct Investment (OFDI) and the factors affecting the success or failure of Chinese enterprises' OFDI from the perspectives of the heterogeneity of home country enterprises. Design/methodology/approach Based on data on China's OFDI obtained from the China Global Investment Tracker (CGIT), the study uses the difference-in-differences model to analyze 2,670 completed OFDI deals and
Migraine remains a significant public health challenge across all four countries, with age, gender, and demographic changes playing key roles in burden variations. The study highlights the need for region-specific healthcare strategies and age- and gender-sensitive interventions. Future research should explore socioeconomic, behavioral, and healthcare access factors to refine migraine management strategies.
This paper analyzed Chinese enterprises’ outward foreign direct investment (OFDI) from the perspectives of Bilateral Investment Treaties (BIT) and enterprise heterogeneity. Firstly, in terms of BIT, we found that the existing literature was mainly focused on BIT and developed countries’ investment in developing countries as the research subject, and rarely discussed the role of BIT in OFDI by developing countries. In addition, in terms of enterprise heterogeneity, due to a limited dataset, the p
Based on an analysis of 2671 outward foreign direct investment (OFDI) deals completed by Chinese enterprises from 2009 to 2018, this study evaluated the role of the OFDI regulatory policies on Chinese heterogeneity enterprises’ OFDI. The difference-in-differences model is applied with the OFDI data to control the influence of endogeneity resulting from missing variables. The results show that the regulatory policies’ effect on Chinese enterprises’ OFDI varies with the ownership structure of the
Numerous studies have explored the impact of Outward Foreign Direct Investment (OFDI) on upgrading industrial structures in home countries. However, a notable gap exists in the literature regarding the reverse relationship. Based on the cross-border greenfield investment data of Chinese provinces in Association of Southeast Asian Nations (ASEAN) countries from 2003 to 2021, this study employed the Ordinary Least Squares (OLS) model to evaluate the impact of industrial upgrading in each province
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