Armed Conflicts Undermine Global Ecosystem Carbon Sink by Destroying Vegetation. (with Zeng Li and Dingyuan Liang)
Under Review
Version:April, 2025
Armed conflicts pose significant humanitarian, economic, and environmental challenges. However, our understanding of the environmental impacts in conflict-affected regions remains limited. In this study, we comprehensively examine the potential effects of global conflict events and fatalities on human ecosystem carbon sink efforts at the **-degree grid level. Our findings indicate that conflicts negatively affect the global ecosystem carbon sink by disrupting the vegetation. ***. Utilizing climate-driven scenarios (SSP1-2.6, SSP2-4.5, and SSP5-8.5) alongside conflict-driven scenarios (including ** peace, ** peace, ** scenarios, and ** scenario), we project changes in country-level NPP through ** under ** predefined scenarios. Our AI-generated projections suggest that, compared to the normal scenario at the end of the century (2080-2100), the ** scenario **) will increase ** by 9% (95% CI: 3.6% to 14.4%) to 12.9% (95% CI: 6.8% to 19.1%) under various SSP scenarios. In contrast, if we consider an ** scenario (estimating conflict and fatality rates based on **), the NPP would decrease by 20.44% to 26.1%. These results underscore a significant yet often overlooked consequence of conflict, with important implications for achieving carbon neutrality for humanity.
Vegetable Price Under Climate Extremes. (with Anda Guo and Pengyu Zhu)
Reject and resubmit, Nature Communications.
Version:April, 2025
Vegetables are vital for human nutrition, but little is known about the price responses to temperature extremes. Our investigation leverages daily pricing of ** vegetable varieties across ** key Chinese markets, analyzing the interplay between temperature fluctuations and market prices over time. We found that extreme temperatures—both hot and cold—prompt price volatility, often decreasing during heatwaves and increasing during cold spells. However, impacts vary across climatic zones: vegetables from warmer regions are particularly sensitive to cold, whereas those from colder regions are comparably more resilient. Our data suggests that vegetables with longer shelf lives or higher market values display marked resilience to temperature extremes, contrasting with the vulnerability of perishable and lower-cost vegetables. Forward projections indicate that without intervention, ongoing climate scenarios RCP4.5 and RCP8.5 will likely intensify vegetable price fluctuations by this century's end. However, overall and region-specific climate adaptability could substantially alleviate the influence of climate change on vegetable pricing, ensuring economic and nutritional stability.
Rainfall Extremes, Dams, and Chinese Manufacturing.
Under Review
Version:April, 2025
While dams provide irrigation benefits, their effectiveness in flood control remains a subject of ongoing policy debates. This study employs a spatial regression discontinuity design to gauge the protective effects of anti-flood dams in mitigating the adverse impacts of extreme rainfall. By collating the spatial location of dams and geocoded firm data, we can discern whether a firm is located upstream or downstream of a dam. Firms in downstream areas are shielded from rainfall damage through anti-flood dam construction, while upstream catchment areas face increased challenges. Consequently, our findings suggest that upstream firms are motivated to invest in non-productive flood resistance measures (labor and capital), which seldom contribute directly to output growth. On the contrary, downstream manufacturing firms experience a robust productivity growth of 27-36 percent compared to their upstream counterparts. Another explanation lies in the spillover effects from the agricultural sector, suggesting that upstream firms employing a higher proportion of agricultural inputs are more vulnerable to extreme rainfall events. Furthermore, we document that firms with varying proximity to rivers, dam scale, firm technology level, and firm type exhibit heterogeneous responses to flood risks, highlighting the need for tailored flood adaptation strategies. JEL code: D24; L60; O13; O44; P35; Q54
The Impact of Rainfall on Productivity and Labor Supply: Evidence from Chinese Manufacturing. (with Yatang Lin, and Pengyu Zhu).
Journal of Comparative Economics
2025, 53(2), 389-411.
File
Code and Data: Will be published when the dam paper is accepted. (Note: sample for Tables 1-4 should be 1,559,844, rather than 1,59,844 which may be induced by the publisher typing mistake.)
Rainfall affects productivity in many ways. Compared to temperature anomalies, the impacts of precipitation anomalies have been understudied, with existing evidence at the macro level. By combining ground station-level climate data and micro-data from half a million manufacturing firms in China, we uncover that rainfall negatively impacts firms’ productivity, with the most significant negative impacts concentrated in extremely heavy rainfall anomalies. Labor-intensive, low-tech, or less productive firms and those located in rainy regions are vulnerable to rainfall extremes. Our estimates are large enough to explain previously observed output losses in cross-country panels. We uncover four primary channels through which manufacturing firms experience productivity loss: agriculture intermediate inputs, labor inputs, transportation disruption and input reallocation. Additionally, we identify firm level increase in non-productive costs and firm entry/exit as effective mitigation strategies, and country-level infrastructure construction including anti-flood dam and improved road infrastructure and drainage systems. Utilizing the Shared Socioeconomic Pathways Scenarios (SSPs), we estimate the future impact of rainfall on productivity in a cost-benefit analysis. Our projections indicate a substantial output loss of 2.4-14.9 billion CNY by 2100, due to the increase in extreme rainfall events under each scenario with different implementation of environmental policies. These findings are significant in explaining the macro-level effects of rainfall.