Empirical investigation of nudge for creation of innovative olive production cluster: A randomized controlled trial on olive-growing farms in West Bank of Palestine

Last registered on January 06, 2026

Pre-Trial

Trial Information

General Information

Title
Empirical investigation of nudge for creation of innovative olive production cluster: A randomized controlled trial on olive-growing farms in West Bank of Palestine
RCT ID
AEARCTR-0017577
Initial registration date
December 31, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
January 06, 2026, 7:18 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Primary Investigator

Affiliation
University of Tsukuba

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2026-01-01
End date
2028-07-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Olive production constitutes the primary source of agricultural income in Palestine. Olive cultivation is a traditional industry in Palestine with potential for high value addition. However, most olive farmers in the West Bank operate small-scale farms of less than 1 hectare, and their cultivation practices are rather extensive and mostly oriented for self-sufficiency. Compared to olive farmers in neighboring countries with similar geographic and climatic conditions, their production is characterized by low productivity and market participation, and the limited adoption of agricultural technology. In addition, farmers face numerous risks and uncertainties under the Israeli occupation, including land confiscation and movement restrictions, limitations in accessing land and water, agricultural inputs and markets, and the disturbance by Israeli military and Jewish settlers.
Facing these severe constraints, intensifying olive production and adding value for their products among smallholder farmers is a critical challenge. Despite the huge volatility of olive production due to the biennial bearing, olive farmers in the West Bank have a potential to enhance their productivity and production efficiency. Hence, improving productivity and promoting market participation, as well as expanding sales channels for processed olive oil, represents one of the few viable options for olive farmers to increase their income as well as to enhance their food security and livelihood. In this context, the research question was raised: what are key motivating factors for olive farmers in West Bank to foster innovation in olive production towards the development of innovative olive ago-based cluster?
Given above, the objective of this research is to empirically examine the impact of RCT intervention on farmers’ behavior, adoption of technology, productivity and market participation of olive farms in West Bank. It aims at empirically identifying the key motivating factors, i.e., “Nudge” for empowering farmers, for the enhancement of adoption of new technology, productivity improve and increasing market access. In the RCT framework, olive farmers will be randomly selected from three governorates where olive cultivation is prevalent. Dividing farmers into treatment and control groups randomly, treatment intervention of agricultural extension and information treatment as a nudge on the farmers are made only in the treatment group. Comparing those of farmers in control group, how their behavior and performance in olive production have changed will be observed as a result of these treatment interventions to identify the treatment effect. Ultimately, this research aims at contributing to empower farmers, improve their income, sustain resilience and development the West Bank in line with the national agricultural initiative “Advancing Sustainable Agriculture in Palestine: Seeds for Change”.
External Link(s)

Registration Citation

Citation
Kashiwagi, Kenichi. 2026. "Empirical investigation of nudge for creation of innovative olive production cluster: A randomized controlled trial on olive-growing farms in West Bank of Palestine." AEA RCT Registry. January 06. https://doi.org/10.1257/rct.17577-1.0
Experimental Details

Interventions

Intervention(s)
Dividing farmers into treatment and control groups randomly, treatment intervention of agricultural extension and information treatment as a nudge on the farmers are made only in the treatment group. The treatment and control arms are as follows:

Treatment group 1 (T1): Receives agricultural extension in general (general nudge)

Treatment group 2 (T2): Receives agricultural extension in general (T1). In addition, this group receives information of technology adoption and production of neighboring farmers/localities as comparison (T1 + social comparison nudge).

Treatment group 3 (T3): Receives agricultural extension in general (T1) as well as information of technology adoption and production of neighboring farmers/localities as comparison (T2). In addition, this group receives information for value addition of olives and olive oil (T1 + T2 + boosting nudge).

Control group: Neither agricultural extension nor treatment information provided.
Intervention Start Date
2026-05-01
Intervention End Date
2027-10-31

Primary Outcomes

Primary Outcomes (end points)
Adoption of agricultural technology, olive yield, market participation
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Farmer preference on agricultural technology adoption
Secondary Outcomes (explanation)
We make a choice experiment by Best-worst scaling method on oreference of adoption of olive cultivation technology, and use the scale as outcome.

Experimental Design

Experimental Design
This study targets olive farmers in three governorates, Ramallah & Al-Bireh, Nablus and Salfit, in the central and northern West Bank, where olive production is prominent. Based on the Palestinian Central Bureau of Statistics (PCBS) “Agricultural Census 2021,” this study targets: (i) small to medium-sized farmers with 2–20 dunum of farmland, and (ii) localities where more than 30 farms which fulfill the criterion of (i) exist. By applying these criteria, the number of eligible localities become 135 (64 localities in Ramallah & Al-Bireh; 52 localities in Nablus; 19 localities in Salfit) from 151 localities in total.
A two-stage stratified sampling method will be employed. In the first stage, 40 localities will be randomly selected as clusters in RCT proportionally to the number of localities in each governorate. Then, the number of selected localities becomes 19 from Ramallah & Al-Bireh, 15 from Nablus, 6 from Salfit as RCT clusters. In the second stage, 16 farms will be randomly selected from each 40 clusters (localities). The sample size is 640 farm households (40 clusters × 16 farms). In one cluster, 14 farmers are randomly divided into four groups (one control group plus three treatment groups). Hence, there are 4 farmers in each group in one cluster (4 farms × 4 groups), where 4 farms in treatment group 1, 4 farms in treatment group 2, 4 farms in treatment group 3, and 4 farms in control group.
We simply employ the ordinary least squares (OLS) estimator to examine the impact of treatments on behavior change, technology adoption, yield and market participation by estimating an intention-to-treat (ITT) effect.
Information spillovers may occur as farmers within the same localities exchange information. The study includes survey questions designed to capture indirect exposure to the intervention in order to assess potential spillover effects.
Experimental Design Details
Not available
Randomization Method
Randomization is conducted at the individual farmer level within the study areas. Eligible farmers are randomly assigned to either the treatment or control group using a computerized randomization procedure.
Randomization Unit
Individual farm
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
40 localities
Sample size: planned number of observations
640 farms
Sample size (or number of clusters) by treatment arms
Treatment group 1: 160 farms, treatment group 3: 160 farms, treatment group 3: 160 farms, control group : 160 farms,
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethical Review Committee, Institute of Humanities and Social Sciences, University of Tsukuba
IRB Approval Date
2025-11-10
IRB Approval Number
2025-37