Artikel

Impact Evaluation of Alternative Irrigation Technology in Crete: Correcting for Selectivity Bias

The interest in promoting food and water security through development projects has led to the need to evaluate the impact of these projects. This study evaluates the impact from transitioning to a modern irrigation technology. Deciding to adopt or not an alternative irrigation technology (sprinklers) is not necessarily a random determination. Therefore, selection bias can be present and this can lead to biased estimates. In this study, we apply methodological specifications to correct for self-selectivity biases. Then, we measure and compare the technical efficiency scores from adopters and non-adopters. The empirical application uses data covering 56 small-scale greenhouse farms in Crete (Greece) for the cropping years 2009-2013. The results reveal that the average technical efficiency for farmers who adopted sprinkler irrigation is lower than the group of non-adopters, when the presence of selectivity bias cannot be rejected. This implies that either the farmers need more time to incorporate the know-how of the newly acquired technology or they become less motivated after the adoption. Consequently, agricultural water saving technologies need to be promoted in combination with support to the farmers, so they can cope with the lower performance in the first years after adoption.

Language
Englisch

Bibliographic citation
Journal: Environmental and Resource Economics ; ISSN: 1573-1502 ; Volume: 79 ; Year: 2021 ; Issue: 3 ; Pages: 551-574 ; Dordrecht: Springer Netherlands

Classification
Wirtschaft
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
Agricultural R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
Renewable Resources and Conservation: Water
Subject
Impact evaluation
Irrigation technology adoption
Sample selection
Stochastic frontier
Technical efficiency

Event
Geistige Schöpfung
(who)
Vrachioli, Maria
Stefanou, Spiro E.
Tzouvelekas, Vangelis
Event
Veröffentlichung
(who)
Springer Netherlands
(where)
Dordrecht
(when)
2021

DOI
doi:10.1007/s10640-021-00572-y
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Vrachioli, Maria
  • Stefanou, Spiro E.
  • Tzouvelekas, Vangelis
  • Springer Netherlands

Time of origin

  • 2021

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