Under Revisions
Version:October, 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.
(3rd round) Revise and resubmit, Nature Cities.
Version:January, 2026
Data and Code: https://zenodo.org/records/15236927
Vegetables are vital for urban nutrition security, yet their wholesale price stability in response to temperature extremes is poorly understood. Analyzing a decade of daily data from 265 Chinese wholesale markets, we find that extreme heat and cold significantly disrupt urban vegetable distribution, raising price volatility. We project that without adaptive interventions, future climate scenarios could amplify annual wholesale price fluctuations by 57 to 188 billion CNY by the end of the century. However, our analysis identifies powerful buffers. Cities with robust self-sufficiency, efficient transport, and vegetables with longer shelf-lives exhibit markedly stronger resilience. Most importantly, we show that strategic urban adaptations, such as investing in cold chains and shortening supply chains, could mitigate 57% to 90% of this additional financial risk. These findings highlight that targeted investments in urban supply chains are a critical, and effective, strategy for safeguarding food security in a warming world, with direct relevance for cities across the Global South.
Collecting Comments and Under Revisions
Version:Jan, 2026
Presentation: Monash, HKUST, Zhejiang U
Large-scale infrastructure, such as flood-control dams, is a central strategy for climate adaptation. However, while these projects are engineered to protect downstream assets, the distributional consequences of their adaptation costs remain poorly understood. Using a spatial regression discontinuity design (RDD) on geocoded manufacturing firms across China, I document a stark asymmetry in adaptation outcomes. First, I confirm the physical efficacy of this infrastructure: dams successfully decouple downstream production from upstream rainfall shocks, effectively mitigating the hydrological propagation of extreme weather. However, this protection generates unequal economic returns. Firms immediately upstream exhibit 27–36% lower total factor productivity (TFP) growth compared to their downstream counterparts. I show that this gap is driven by the unequal burden of defensive adaptation. Lacking physical protection, upstream firms are incentivized to divert resources into non-productive buffers—specifically, excessive inventory and flood insurance—which decouple input intensification from output growth. Furthermore, these efficiency losses are amplified by cross-sectoral spillovers from agriculture-dependent supply chains. These findings highlight the hidden costs of adaptation borne by unprotected regions, suggesting that infrastructure-based solutions, while physically effective, can exacerbate spatial inequality by distorting firm-level resource allocation. JEL code: D24; L60; O13; O44; P35; Q54
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.