This study investigates the pricing of financial risks associated with biodiversity conservation, with a particular focus on the Green Shield Action, a major regulatory initiative launched in China in 2017 to enforce biodiversity preservation rules in national nature reserves. While the initiative improved biodiversity, it also significantly increased bond yields for municipalities that are home to these reserves, effectively raising the general cost of public capital. These effects were primarily driven by heightened default risks plausibly caused by transition costs from shutting down illegal economic activities within the reserves and additional public spending on biodiversity conservation, even when local governments raise the same amount of money. Furthermore, the study reveals that the biological benefits of these conservation policies were not adequately recognized or impounded into the prices by the capital markets.
The article discussess that China's policy reform of integrating counties into larger prefecture-level divisions (che xian she qu) significantly promoted regional economic specialization, reduced interregional market barriers, and played a crucial role in driving economic growth.The article discussess that China's policy reform of integrating counties into larger prefecture-level divisions (che xian she qu) significantly promoted regional economic specialization, reduced interregional market barriers, and played a crucial role in driving economic growth.
Our study also contributes to the broader discourse on industrial policy (see Juhász, Lane, and Rodrik 2023 for a recent review of related academic literature). As debates about green industrial policy gains traction in the U.S., Europe, and beyond, there is revived interest in developing a better understanding of how it might impact economic activity. Although economic growth and environmental regulation are often pitted against each other, our findings suggest that this need not be the case.
Industrial policy is often discussed through high-level narratives and flagship initiatives, yet its implementation—particularly at the subnational level—remains opaque. We leverage large language models (LLMs) to systematically analyze over three million government documents from 2000 to 2022, extracting structured policy information to decode China’s industrial policy at various levels of government. Combining these newly constructed granular industrial policy data with micro-level firm data, we document four sets of facts on China’s industrial policies, including the economic and political rationality of the choice of the target sectors, the dynamics of the policy tools, the diffusion and similarity of policies, and the effects on firm entry and productivity.
How do public pension schemes reshape eldercare and social norms with son preference? Using variations in the timing of the New Rural Pension Scheme (NRPS) across rural Chinese counties..