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Do institutional arrangements influence the speed of adoption of laser-land leveller technology in the irrigated farmlands of Punjab, Pakistan? A discrete-time duration analysis
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  • Asjad Tariq Sheikh,
  • Amin Mugera,
  • Ram Pandit,
  • Michael Burton,
  • Stephen Davies
Asjad Tariq Sheikh
The University of Western Australia

Corresponding Author:22453495@student.uwa.edu.au

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Amin Mugera
The University of Western Australia
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Ram Pandit
The University of Western Australia
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Michael Burton
The University of Western Australia
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Stephen Davies
International Food Policy Research Institute
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Abstract

Governments and international donors are actively promoting laser-land leveller (LLL) technology to produce environmental benefits (i.e., avoid soil salinity, minimize soil erosion risk, and groundwater security) that could lead to sustainable agricultural production and averting land degradation. We investigate the adoption process of laser-land leveller (LLL) technology in Punjab, Pakistan during the period 1985–2018 using survey data from 504 farming households. A discrete-time duration model is used to investigate factors that could influence the speed of adoption of LLL technology and an endogenous switching regression (ESR) model to evaluate its impact on groundwater usage. It is found that about 70% of the surveyed households had adopted the technology. The key determinants of the speed of adoption include strong legal land entitlements, farm size, and farm location along the watercourse. Information acquired through formal and informal sources and exposure to the technology potentially reduce adoption time. The adoption of LLL reduces groundwater use by about 23% in wheat crop. These results highlight the need for improved institutional arrangements such as extension services, technology exposure, and establishing legal property rights over land to enhance uptake of LLL technology.
01 Aug 2021Submitted to Land Degradation & Development
02 Aug 2021Submission Checks Completed
02 Aug 2021Assigned to Editor
09 Aug 2021Reviewer(s) Assigned
06 Nov 2021Review(s) Completed, Editorial Evaluation Pending
09 Nov 2021Editorial Decision: Revise Major
22 Nov 20211st Revision Received
23 Nov 2021Submission Checks Completed
23 Nov 2021Assigned to Editor
05 Dec 2021Review(s) Completed, Editorial Evaluation Pending
28 Jan 2022Editorial Decision: Revise Major
17 Mar 20222nd Revision Received
18 Mar 2022Submission Checks Completed
18 Mar 2022Assigned to Editor
04 Apr 2022Review(s) Completed, Editorial Evaluation Pending
05 Apr 2022Editorial Decision: Accept