This paper examines the relationship between population aging and corporate digital transformation from the perspective of demographic changes. Generally, the findings indicate that population aging notably contributes to corporate digital transformation, mainly through increasing labor costs, including expected and actual labor costs. Further analysis suggests that the above effects are significantly weakened in samples of firms with lower levels of regional intellectual property protection, higher corporate financial constraints, and shorter-sighted managerial decision-making. Moreover, the economic consequences test implies aforementioned favorable effects can enhance corporate total factor productivity.

This paper investigates the effects of serial acquisitions on labor cost stickiness. We show that serial acquisitions can significantly increase the labor cost stickiness through increasing managerial optimism, agency costs and labor adjustment difficulty, and the labor cost stickiness further damages corporate value. The baseline findings are weaker in firms with better internal control and higher institutional ownership. Overall, this study contributes to the literature on serial acquisitions and cost stickiness, provides a new perspective for the value-destroying effect of serial acquisitions in a typical emerging market.

Chinese enterprises are currently facing unprecedented economic transformations accompanied by a diverse array of challenges. This article delves into these challenges and provides management recommendations to assist companies in addressing these pressing issues. First, China's economic growth is gradually slowing, prompting companies to explore new avenues for growth, such as diversifying their products and markets, enhancing research and development, and expanding into emerging markets. Second, the uncertain global trade landscape has impacted exports and supply chains, necessitating diversified supply chains, new trade partnerships, and proactive strategies to navigate potential trade policy changes. Additionally, the pressure of technological innovation cannot be underestimated, urging companies to increase R&D investment, collaborate with other enterprises on research, and recruit and nurture high-quality tech talent. Furthermore, with the Chinese government's growing focus on environmental concerns, companies need to invest in clean production technologies, build sustainable supply chains, and actively fulfill their social responsibilities. Other challenges including rising labor costs, intellectual property protection, financial risks, regulatory compliance, talent recruitment and retention, and digital transformation all require proactive responses. By adopting proactive management strategies, Chinese enterprises can thrive in this era filled with both opportunities and risks, achieving sustainable growth and enhanced competitiveness.

From the perspective of corporate labor employment, we examine whether debt pressure on local governments prompts them to shift part of their social responsibilities to local firms. We conduct an analysis on Chinese local government debt (LGD) data and find that when LGD is higher, local firms are less likely to cut labor costs when their sales decrease, indicating greater labor cost stickiness. We attribute this to the responsibility-shifting effect, i.e., with heavier debt burdens, local governments intervene more in corporate labor decisions by restricting employee layoffs. Consistent with this argument, we find that the effect of LGD on labor cost stickiness is more pronounced for state-owned and politically connected firms; in regions with lower marketization levels and government fiscal self-sufficient capacities; and when regional unemployment rates, macroeconomic uncertainty, and political risk are higher. We show that through responsibilityshiftingamid high LGD, local governments benefit from a reduction in social expenditures. However, firms with stickier current labor costs will have lower subsequent productivity and market value, despite local governments reciprocating with more subsidies. Overall, LGD not only adversely impacts firm financing through the crowding-out effect but also erodes firm value through the responsibility-shifting effect.

We examine empirically and theoretically the effects of industrial robot adoption on corporate financing. Empirically, using firm-level panel data on robot deployment in China, staggered across both provinces and industries, we find that robot adoption reduces the cost of debt and increases leverage. We hypothesize that the underlying reason is that being a substitute for labor, robots provide a hedge against fluctuations in labor costs. A model based on this hedging argument delivers additional testable predictions concerning determinants of the relation between robot adoption and corporate financing, which are borne out in the data, providing support for the proposed mechanism. Our evidence is inconsistent with alternative channels behind the observed relations.