In estimating the effect of temperature and precipitation on agricultural value added per hectare

The gap

Evidence profile

Sourced from the recommendations and stated research gap of the source papers, classified as general, spanning 4 journals. Those papers have been cited 3 times in total.

Supporting evidence — 4 representative gaps

• Research on the impact mechanism of climate risks on financial vulnerability of farmers in typical ecologically fragile regions of Northwestern China (2026) · Frontiers in Environmental Science · doi

  This study examines the impact of climate risk on the financial vulnerability of farmers in Northwest China’s inland regions, treating climate risk as an exogenous shock and utilizing survey data collected by the research team in Ningxia Hui Autonomous Region and Gansu Province during 2024–2025. Key findings are as follows: 1. Climate risk is a key factor exacerbating the financial vulnerability of farming households in the inland areas of Northwest China. Both the baseline regression and a series of robustness tests indicate that climate shocks significantly increase the financial vulnerability index of farmers. More importantly, after addressing the endogeneity issue using the instrumental variable method, the negative impact coefficient of climate risk increases significantly. This suggests that ignoring endogeneity biases caused by reverse causality and other factors will lead to a serious underestimation of the actual harm of climate risk. 2. Climate risk affects the financial vulnerability of farmers in ecologically fragile areas through the “income decline” and “financial exclusion” channels. Mechanism tests confirm that the decline in total household income is the core mediating channel linking external climate shocks and internal financial distress. Financial exclusion important transmission mechanism: climate shocks significantly increase the probability that farmers’ loan applications are rejected by financial institutions, and such financial exclusion further exacerbates their financial vulnerability. This shows that climate risk not only directly erodes the income base of farmers in ecologically fragile areas, but also creates an is also an “income-credit” double squeeze by deteriorating their financial accessibility. low educational attainment 3. The impact of climate risk on the financial vulnerability of farmers in ecologically fragile areas exhibits significant group heterogeneity. In terms of geographic differences, farmers in Gansu Province—where the ecosystem is more fragile and agricultural infrastructure is relatively backward—suffer significantly stronger impacts than those in Ningxia. In terms of human capital, the financial vulnerability of households with is more sensitive to climate risks, whereas households with high human capital have a certain buffer capacity. In terms of risk response, both the purchase of insurance products and the implementation of weather-related publicity activities for planting and breeding in the local area can mitigate the negative impact of climate risks to a certain extent, but they fail to completely eliminate such shocks. This reflects that there is still room for improvement in the coverage and effectiveness of an

  generalrecommendations
  Keywords: climate financial risk vulnerability farmers impact areas shocks fragile income households ecologically exclusion terms northwest
• Agricultural investment under climate policy uncertainty: evidence from China (2026) · Frontiers in Sustainable Food Systems · cited 3× · doi

  7 Research gaps and prospects This paper systematically examines the bidirectional dynamic relationship between climate policy uncertainty (CPU) and agricultural investment (AGRI) in China. Through rolling-window causality estimation, it confirms that a bidirectional relationship exists between the two, which evolves with the macroeconomic and policy environment. The study finds that the impact of CPU on AGRI exhibits both positive and negative effects over time, but is predominantly characterized by a significant negative impact. A positive effect occurs when the intensive rollout of climate policies with clear implementation paths acts as a catalyst for agricultural investment. The negative impact manifests when insufficient policy enforcement and the expected damages from extreme climate events create negative shocks to agricultural investment. The study also finds that the impact of AGRI on CPU shows both positive and negative effects over time, but is mainly characterized by a significant negative impact. A positive effect arises when an expansion in agricultural investment, combined with shifts in international climate policy direction, leads to heightened expectations of a partial policy withdrawal, thereby increasing policy uncertainty. The negative impact is primarily due to the certainty and technological spillover effects from green investment in the agricultural sector, which enhance policy credibility and thus reduce climate policy uncertainty. Based on the research conclusions above, we propose the following policy recommendations. First, adopting a package of start-up strategies for climate policies to promote investment.our results show that important strategies with clear actionable goals and implementation rules can effectively First, this research relies on comprehensive data at the national level, which may mask the huge spatial gaps inherent in China’s vast geography. As mentioned in the literature, agricultural vulnerability and policy implementation vary greatly from province to province. In future research, we will try to use hierarchical climate policy uncertainty data and classified investment data to explore how regional differences in resource endowments and local governance efficiency can alleviate the impact of climate change. Second, we have found the delay and wait-and-see effects of policies on investment at the macro level, but we cannot directly analyze the activities at the corporate level. In future research, we will consider using micro-enterprise-level data to test and analyze specific impact paths such as risk aversion and real option valuation in this research. Third, this research is based on China, a country characterized by a strong state-led governance model. The two-way influence mechanism discovered in this paper may have different functions in economies with different political structures. In the future, we hope to expand our research to other large economies that depend on agriculture (e.g., Brazil, India, and the European Union), and use comparative research to determine whether the findings in this article are universal or based on a special political system. Furthermore, due to the lack of consistent monthly statistical data distinguishing between investment subjects, this study utilizes aggregate fixed asset investment in agriculture. We acknowledge that government and private investments may have distinct interaction

  generalrecommendations
  Keywords: policy investment climate impact negative agricultural uncertainty positive effects level agri china characterized policies implementation
• Climate Change and Agricultural Productivity in Indian States: A Panel Data Analysis with Non-Linear Climate Effects (1990–2023) (2026) · Journal of Economic Insights and Research (JEIR) · doi

  The research gap is in estimating the effect of temperature and precipitation on agricultural value added per hectare. The gap is in addressing non-stationarity concerns using panel cointegration tests. The gap is in exploring the interaction between climate variables and adaptation policy.

  generalstated research gapevidence 5/5
  Keywords: research gap estimating effect temperature precipitation agricultural value
• Climate change-induced agricultural disasters and policy-based agricultural insurance: empirical findings from China (2026) · Agricultural and Food Economics · doi

  There is a need to understand the impact of climate change on agricultural production and the role of agricultural insurance in managing climate risks. There is a need to characterize the dependence structure between climate change, agricultural disasters, and agricultural insurance indemnity.

  generalstated research gapevidence 5/5
  Keywords: there need understand impact climate change agricultural production

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