Impact Evaluation of Agriculture Technology Adoption: A Primary Data Analysis
DOI:
https://doi.org/10.52131/pjhss.2021.0902.0138Keywords:
Technology index, Average Treatment Effects, Logistic Approach, Propensity ScoreAbstract
The primary objective of the study is the assessment and impact evaluation of improved and new agriculture technology adoption on farmers’ income level in the region (Faisalabad). There are seven technologies used in the study to assess technology adoption impact. A micro panel primary data (206-07 & 2018-19) has been used. The propensity score is estimated and matched for average treatment effects (ATE) to analyze income effect. The assessment of technology adoption is observed using logistic approach for pooled data. The technology poverty index is used to measure the level of farmer technology adoption rate. The results indicate that these technologies have positive and significant role on farmers’ poverty and income level in the study area. The used improved technologies for the current showed positive and significant role in the farmers’ income determination. These agriculture technologies have an important role in increasing farmer income and welfare in the study area. The study recommends that more incentives to be announced to develop and promote improved technologies for adoption. The provision of these technologies may increase farmers’ income level as well as food security by engaging in other income-generating activities.
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Copyright (c) 2021 Muhammad Ali, Adiqa Kausar Kiani, Kashif Raza
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.