Asset Details
Do you wish to reserve the book?
What Determines the Adoption of Solar-Powered Irrigation Pumps in India? An Analysis of Macro and Micro-Level Data
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
What Determines the Adoption of Solar-Powered Irrigation Pumps in India? An Analysis of Macro and Micro-Level Data
Do you wish to request the book?
What Determines the Adoption of Solar-Powered Irrigation Pumps in India? An Analysis of Macro and Micro-Level Data
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
What Determines the Adoption of Solar-Powered Irrigation Pumps in India? An Analysis of Macro and Micro-Level Data
2025
Overview
The climate-friendly solar-powered irrigation pump is expected to reduce the exploitation of groundwater, save electricity costs, and increase income for farmers. It is also expected to reduce global warming by reducing CO, emissions, etc. Therefore, solar-powered irrigation pumps have been promoted with an attractive subsidy scheme by the government of India. Though the adoption of solar pumps has been increasing at a faster pace in recent years, the intensity of adoption of such pumps is not appreciable in many states in India. Since the adoption of solar pumps is still in a nascent stage, an attempt has been made in this study to find out the determinants of the adoption of solar pumps using both macro and micro-level data. While the macro-level analysis was carried out using the data of 17 major states, the micro-level analysis was carried out using survey data collected from 304 sample farmers belonging to four districts of Tamil Nadu. The multiple regression analysis carried out covering data from major states shows that the electricity tariff rate influences the adoption of solar pumps positively and significantly, while the share of the non-foodgrains area to the cropped area determines its adoption negatively and significantly. The logit regression results estimated by using field survey data suggest that the education of the farmer, cropping intensity, and farm size are more likely to influence the adoption of solar irrigation pumps.
