digital divide

  • 详情 New Trends, Challenges and Paths of Corporate Governance in the Context of Digitalization and Intelligence Transformation: An Exploration from the Perspective of Green Governance and Sustainable Development
    In the wave of digital and intelligent transformation, corporate governance is undergoing profound changes. This paper, from the perspective of green governance and sustainable development, explores the new trends in corporate governance under this background, such as data-driven decision-making and the application of intelligent technologies in supervision; analyzes the new challenges faced, including data security and privacy protection, and the digital divide; and based on relevant theories, combined with practical cases and using data models and other methods, explores new paths, aiming to provide theoretical and practical guidance for enterprises to achieve the coordinated and simultaneous progress of digitalization, intelligentization, greenization, and sustainable development.
  • 详情 The Effect of the Digital Divide on Household Consumption in China
    Over the past decade, the rapidly digitizing economy in China has attracted much attention in both academic and policy circles. Most existing studies focus on the positive impact digitalization has had on China's inclusive growth. Few of them have attempted to measure the widening digital divide and its potential impact. Using the 2017 and 2019 China Household Finance Survey (CHFS) data, this paper: (i) provides the first evidence that the digital divide has a significant negative impact on household consumption. For every unit increase in the digital divide, the level of household consumption will drop by about 28 percent; (ii) finds the negative impact stems from an integrated channel of rising unemployment, intensified liquidity constraints, and declining financial literacy; and (iii) further discloses that the digital divide has differential impacts on household consumption by category, while hinders consumption diversification. The results are robust to correcting for potential endogeneity due to sample selection, household heterogeneity, and reverse causality. Our findings shed new light on some little-documented evidence and have profound implications for related socio-economic policies that fully utilize technology to drive efficiency and inclusivity in the digital economy.