Narooei, Homa (2023) Determinants of adaptation strategies to climate change and the effects of these strategies on the technical efficiency of wheat growers in Sistan Province. Doctoral thesis, University of Zabol.
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Determinants of adaptation strategies to climate change and the effects of these strategies on the technical efficiency of wheat growers in Sistan Province.pdf Download (700kB) |
Abstract
Climate change is emerging as a major threat to agriculture, food security, and the livelihoods of millions of people in many parts of the world. Due to the high sensitivity of agriculture to weather parameters, the vulnerability of this sector to climate change is significant. The negative effects of climate change on the yield and productivity of agricultural products have been proven in many regions of the world, particularly in arid and semi-arid regions. In this regard, farmers have been encouraged to adopt strategies tailored to climate change. Therefore, it is important to research the impact of adopting adaptation strategies on the efficiency of farmers and to evaluate the factors influencing the acceptance and implementation of these strategies. In the present study, the effects of input consumption (labor, water, chemical inputs, and machinery) and random factors outside the farmer's control (education level, household size, off-farm income, farming experience, access to climate information, and access to credit) were evaluated. In addition, the study evaluated the impact of climate change adaptation strategies (using a climate change adaptation index created by combining data from seven applied adaptation strategies) on the technical efficiency of wheat producers in the Sistan region. The required data and information were collected through 265 questionnaires in the crop year 1401-1400 using a multi-stage random sampling method in the study area. An endogenous modified stochastic frontier model (EMSF) and a conventional stochastic frontier model (SFA) were used. The EMSF was utilized to address endogenous effects influencing the adoption of climate change adaptation strategies, aiming to offer an impartial and reliable estimation of farmers' technical efficiency. It is important to mention that strategies with high factor loadings were identified using Principal Component Analysis (PCA) to construct the adaptation index. Finally, a Multinomial Logit Regression (MLR) was used to assess the impact of some socio-economic, agricultural, and psychological characteristics on farmers' adoption of adaptation strategies. The results of the PCA method showed that the highest factor load is related to the variables of change in plot size (0.812), conservation tillage (0.797), and change in planting date (0.619). Meanwhile, the lowest factor load of farmers' adaptation strategies is related to the use of rainwater and organic fertilizer, with values of 0.219 and 0.327, respectively. At this stage, the study has determined the significance of the adaptation strategies employed in the research area on technical efficiency. The results of the endogeneity test indicated that the climate change adaptation strategy is endogenous. Therefore, the issue of endogeneity needs to be considered; otherwise, the estimates of the efficiency parameters will be inconsistent. In this study, the average technical efficiency of conventional SFA is estimated to be 73%, which differs significantly from the estimate obtained from EMSF with an average technical efficiency of 82%. A 9% difference in the mean performance values between the two methods indicates a significant distinction between the estimators. The experimental results of two cutting-edge models also indicated that the contribution of labor inputs, chemical pesticides, chemical fertilizers, water, and machinery to wheat production efficiency is statistically positive and significant. The results also indicated that the level of technical inefficiency decreases when farmers implement climate adaptation strategies. The study also demonstrated the positive impact of education level, farming experience, access to climate information, and access to credit on reducing technical inefficiency. Finally, the results of the Multinomial Logit Model estimation showed that variables such as education level, farm income, access to credit, family participation in social activities, and farmers' belief in climate change have a positive effect on farmers' participation in adopting agricultural solutions for climate adaptation. Meanwhile, the age of the household head has a negative effect on farmers' willingness to adopt climate adaptation strategies. The lack of influence of off-farm income and agricultural history on the adoption of climate adaptation strategies is also significant.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | Principal components analysis, multinomial logistic regression, Endogenous modified stochastic frontier model, socio-economic characteristics |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor |
| Depositing User: | Mrs najmeh khajeh |
| Date Deposited: | 29 Apr 2025 06:23 |
| Last Modified: | 29 Apr 2025 06:23 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/3796 |
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