Title: The impact of agricultural technology adoption on income inequality: a propensity score matching analysis for rural Ethiopia
Authors: Aynalem Shita; Nand Kumar; Seema Singh
Addresses: Department of Humanities, Delhi Technological University, Delhi-110042, India ' Department of Humanities, Delhi Technological University, Delhi-110042, India ' Department of Humanities, Delhi Technological University, Delhi-110042, India
Abstract: This study analyses the impact of agricultural technology adoption on income inequality. Primary data has been collected from 400 sample households in Awi zone of Ethiopia through household survey during agricultural season of 2017/18. The collected data were analysed by using propensity score matching method. The estimated results revealed that adoption of agricultural technologies such as chemical fertiliser and improved seeds significantly increase total household income but worsen income distribution. After adoption of agricultural technologies, income inequality measured by Gini coefficient increased ranged from 0.047 to 0.087. Hence, the government and other concerned authorities should exert more efforts in order to enhance technology adoption status of the poor households by increasing their accessibility for extension and credit services.
Keywords: technology adoption; income inequality; propensity score matching; Ethiopia.
International Journal of Information and Decision Sciences, 2020 Vol.12 No.1, pp.102 - 114
Received: 21 Feb 2019
Accepted: 18 Jul 2019
Published online: 07 Feb 2020 *