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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 01:49:52am WEST

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Daily Overview

Session

Egg-Timer: Climate Change and Agriculture 2
Location: D-111
Session Chair: Weicheng Jiang, LSE

Presentation 4

The Impact of Climate-Smart Agriculture Technology Bundling on Household Food Security: Micro-level evidence from Imo State, Nigeria

Blessing Ada Ahamefule¹, Anthony Ojonimi Onoja², Lovina Enyidiya Odoemelam³, John Chukwu⁴, Beatrrice Obiageri Okpara-Okafor⁵

1: Michael Okpara University of Agriculture, Umudike, Nigeria.; 2: University of Port-Harcourt, Nigeria.; 3: Michael Okpara University of Agriculture, Umudike, Nigeria.; 4: Michael Okpara University of Agriculture, Umudike, Nigeria.; 5: Michael Okpara University of Agriculture, Umudike, Nigeria.

Smallholder farmers increasingly adopt Climate-Smart Agriculture (CSA) practices to mitigate climate risks and improve livelihoods. However, the comparative effectiveness of adopting these practices in isolation versus integrated "packages" remains a subject of empirical debate. This study utilizes primary survey data from 120 households to evaluate the determinants and food security impacts of various CSA adoption packages. Principal Component Analysis (PCA) is used to cluster CSA practices into four bundle: Crop Management (C1), Farm Risk Management (C2), Soil Conservation (C3), and General Field Management (C4). We employ a robust multi-model econometric approach, comprising Propensity Score Matching (PSM), Endogenous Switching Regression (ESR), and Inverse Probability Weighted Regression Adjustment (IPWRA), to account for both observable and unobservable selection bias. The descriptive analysis reveals a mean Household Food Consumption Score (HFCS) of 83.22, with 95% of households classified as food secure. Principal Component Analysis (PCA) identifies improved varieties, organic manure, and diversification as high-adoption pillars. Multinomial Logit results indicate that adoption decisions are significantly driven by household size, education, access to off-farm income, and extension services. Impact estimations reveal a clear "synergy effect": the Full package (C1C2C3C4) is the only strategy that yields robustly positive and significant gains in food security across all models, with a PSM-estimated increase in HFCS of approximately 28.8% (t=2.77). Conversely, partial packages, particularly those lacking risk-reduction components (e.g., C1C3C4) showed consistent negative impacts on food security, suggesting that incomplete adoption may expose farmers to higher vulnerability. Consequently, policy interventions should pivot from promoting isolated technologies toward integrated, comprehensive CSA packages supported by strengthened institutional credit and extension frameworks.