Program OverviewMCC’s $307 million Benin Compact (2006-2011) funded the $33.7 million Access to Land Project (ALP), which aimed to secure land tenure, improve land-based investments, and decrease land disputes. The project’s rural activities worked across 40 of Benin’s 77 communes and 294 villages to demarcate land parcel boundaries, produce village landholding plans (plan foncier rural, PFRs), establish and strengthen village- and commune-level land institutions, and increase public outreach to increase demand and issuance of land use certificates (certificate foncier rural, CFRs).
MCC commissioned World Bank’s Gender Innovation Lab to conduct an independent interim and a final impact evaluations of the Access to Land Project. Full report results and learning from interim and final findings: https://data.mcc.gov/evaluations/index.php/catalog/169.
Land Tenure Security
- Households in treatment villages were significantly more likely to report having parcels with clear boundaries at the end of the compact in 2011 as well as documented evidence of land rights at the time of final evaluation in 2015. However, these effects were not accompanied by a change in the levels of self-reported land conflicts.
- In 2011, clear land boundaries led to an increase in long-term (i.e. tree- and perennial-planting) agricultural investments. Investment in perennials persisted in 2015.
- The gender gap in land fallowing, a key soil fertility investment, was closed in 2011, when women shifted production away from the now relatively more secure parcels within treatment villages towards land parcels outside treatment villages.
- Despite increased household investment, there were no effects on self-reported output or farm yields in 2011 or 2015.
Labor Market Participation
- In 2011, individuals in treatment villages were less likely to work as paid workers (in agricultural or non-agricultural positions) and more likely to be engaged in non-agriculture self-employment, but there was a short-run drop in off-farm wage work among female-headed households. These effects dissipated by 2015 with no impacts on off-farm labor market participation.
Evaluation QuestionsThe impact evaluation was designed to answer the following questions:
- 1 What is the effect of the PFRs on perceived and de facto tenure security?
- 2 How does the PFR impact investment decisions and agricultural production?
- 3 What are the effects of the PFR on off-farm income-generating activities?
- 4 What are the gender-differentiated impacts?
Land Tenure SecurityIn 2011, households in treatment villages reported having clear land parcel boundaries at a rate of 27 percentage points (pp) higher than control parcels, representing around a five-fold increase relative to the control mean of 6 percent. Though smaller, the effect remained visible in 2015, with 21 pp higher proportion of treatment parcels having clear boundaries compared to control parcels. The increase in parcels with clear boundaries is likely thanks to increased demarcation, which involves mapping parcel boundaries and placing physical markers along those boundaries. In 2015, parcels held by residents of treated villages were 23 pp more likely to be demarcated, with a 30 percent average rate of demarcation reported in treatment villages compared to 7 percent in control villages. At the same time, in 2015, tenure security was also 3 pp more likely to be enforced through documentary evidence of land rights, representing a 23 percent increase from control villages of 13 percent. This effect was mostly driven by the issuance of land use certificates, which increased by 6 pp compared to controls of 0.4 percent. Despite increased clarity of parcel boundaries via land demarcation and land use certificates, there was no effect on perception of land tenure as measured by fear of loss of land nor any effect on incidence of conflicts in 2011 or 2015. There was no statistically significant difference between parcels managed by female- and male-headed households.
Agricultural InvestmentIn 2011, the evaluation found evidence that land demarcation activities prompted a change in farmers’ agricultural investments. Farmers shifted land cultivation activities toward long-term crop investment, including tree- and perennial-planting. Treated parcels were 2.4 pp more likely than control parcels to be used primarily for perennial crops, and were 1.7 pp more likely to have a newly-planted tree—almost 50 percent more than the control average of 4 percent. The evaluation found no evidence of continued investment in tree planting during the final evaluation in 2015. However, the proportion of parcels used primarily for perennial crops continued to increase, from 2.4 pp in 2011 to 3.2 pp in 2015—indicating that significantly more (nearly 50 percent more) treatment parcels were planting perennials compared to controls of 7.5 percent. In 2015, both female- and male-headed households continued their increased investment in perennial planting, though the increased investment in tree-planting was only observed in female-headed households. In 2011, the evaluation found no evidence that the land demarcation activities prompted a change in the decision to cultivate land or leave it fallow. Leaving land fallow is an important soil fertility investment; however, uncultivated land with lack of documented land rights risks being taken by others. These risks are typically higher among women. It is noteworthy that, when data is disaggregated based on male versus female impacts, women-headed treatment households were far more likely than control households to fallow land in 2011, likely due to increased perception of security in their land rights. Although, the proportion of parcels left fallow decreased by 0.5 pp compared to a control average of 1.4 percent in 2015, this decrease was driven by a reduction in fallowing among men; there were not significant differences in fallowing between control and treatment parcels of women-headed households. This could be due to the fact that land is typically only fallowed for one year.
Agricultural ProductionDespite the increase in long-term agricultural investment observed in 2011, the evaluation did not find evidence that output and farm yields uniformly increased in either 2011 or in 2015. However, in 2015, the evaluation found evidence that households in treatment villages increased their demand for non-household member farm labor to support their agricultural production. Additionally, although the gender gap in land fallowing was improved, the gender gap in agricultural revenue and yields worsened. It is unclear what drove this effect, as cultivation, farm labor, and agricultural inputs were similar in 2015. The World Bank plans to conduct additional research on crop cultivation over time via geospatial imagery and remote sensing in the future.
Labor Market ParticipationIn 2011, following the land demarcation activities, there is evidence that household members in the treatment villages were less likely to work as paid workers (for off-farm and on-farm activities) and more likely to work in off-farm self-employment. In 2015, the evaluation found no evidence that being in treatment villages impacted household members’ decision to work as a paid worker or as self-employed in off-farm income-generating activities.
- Establishing land offices, design and installation of land information systems, provision of land certificates and legal changes takes time-often longer than the compact period and depends on government processing and approval.
- Random selection of beneficiaries in land is possible and provides key learning opportunities and results for expansion.
- Prior to titling, land demarcation in combination with a consultative land use planning process can change investment behavior.
- In certain contexts, provision of village level land rights in the statutory system or related buy in to common land use plans can initially lead to similar effects as provision of individual land rights.
Evaluation MethodsThe evaluation employs a Randomized Control Trial (RCT) methodology, taking advantage of a unique feature of program rollout. All treatment villages were selected through district-level public lotteries that provided a public and transparent identification of treatment and control villages. The experimental sample covers 291 villages: 193 treated and 98 control. The geographic coverage of the survey spans the entire range of Benin’s agro-climatic zones, with data from nine of Benin’s twelve regions (départements). The evaluation used five sources of data to analyze the impact of the PFR in Benin:
- two rounds of primary household survey data on over 3,000 households (described in more detail below);
- secondary national household survey data via nationally representative EMICOV survey provided pre-intervention balance checks;
- land administrative data compiled from the PFR implementation units;
- commune-level survey data from 35 out of the 40 PFR communes; and
- KII and Focus Group data from two PFR communes.