We utilize a unique primary data set of farms in Russia and Kazakhstan to investigate the link between policy reforms and technical efficiency. These countries have heavily subsidized their domestic agricultural production over the last decade, with a total of around USD 76 billion USD and USD 11.5 billion USD in government funding directed towards the agricultural sectors in Russia and Kazakhstan, respectively. Results of a stochastic frontier analysis make evident that variable inputs, such as fertilizer, have a relatively large influence on wheat production compared to land. Nearly every fifth farm has a technical efficiency level lower than 60%, suggesting significant unrealized production potential. While our analysis shows a negative relation between subsidies and efficiency, other factors, such as farmer’s education, cooperative and agroholding membership, and participation in insurance programs, are positively related to farm efficiency. The results imply that the governments and policymakers could mobilize the unutilized wheat production potential by improving the farmer education system, fostering cooperation among farms, and developing functioning farm insurance schemes.

Question effects are important when designing and interpreting surveys. Question responses are influenced by preceding questions through ordering effects. Identity Theory is employed to explain why some ordering effects exist. A conceptual model predicts respondents will display identity inertia, where the identity cued in one question will be expressed in subsequent questions regardless of whether those questions cue that identity. Lower amounts of identity inertia are found compared to habitual inertia, where respondents tend to give similar answers to previous questions. The magnitude of both inertias is small, suggesting they are only minor obstacles to survey design.

Produce that does not meet sellers’ esthetic standards may be redirected to alternative uses or wasted, but consumer trends indicate potential marketability of blemished produce. We conduct a nonhypothetical experimental auction to elicit consumer willingness-to-pay (WTP) for produce of varying degrees of blemish and test whether valuations are affected by (1) information on food waste resulting from grocery stores’ esthetic standards and (2) additional information on the environmental impacts of food waste. WTP for blemished produce increases as consumers become informed, but the information effects vary by blemishing degree. Market simulations indicate that introducing blemished produce can increase retailer revenue.

The U.S. Agency for International Development has invested limited funds in international agricultural research through U.S. universities. We present a meta-analysis of impact case studies from this investment. The median net present value of economic impacts at purchasing power parity is PPP$8.4 billion compared to a cumulative investment of US$1.24 billion over 1978–2018. About four-fifths of these economic benefits accrued to individuals with incomes under $5.50/day and about 29% to those in extreme poverty. In addition to these limited case studies evaluating financial benefits and costs, we present several types of additional non-economic benefits.

This article uses meta-regression analysis to examine variation in willingness to pay (WTP) for farm-raised seafood and aquaculture products. We measure the WTP premiums that consumers have for common product attributes and examine how WTP varies systematically across study design elements, populations of interest, and sample characteristics. Based on metadata from 45 studies, the meta-regression analysis indicates that WTP estimates differ significantly with the availability of attributes such as domestic and environmental certification, but also with sample income and gender representation.

We explore the economic merits of on-farm water storage with tailwater recovery systems to reduce aquifer depletion in a region with expanding irrigated acreage and substantial off-season precipitation. Gains are substantial on a broad scale and long planning horizon, including more than $4 billion in producer surplus, 5 million acre-feet of conserved groundwater, and land capitalization of $24 per acre. Sensitivity analyses provide insights with respect to the impact of discount rates, rainfed returns, return flows, and aquifer recharge rates. Results can inform stakeholders about the optimal allocation of funds directed at agricultural practice adoption and agricultural water investments.

We examine the impact of the rapidly expanding mobile banking service “mobile money” on rural households’ decision to adopt modern agricultural inputs and its resultant effect on agricultural income using plot, household, and community-level panel data from rural Uganda. The main findings indicate that mobile money adoption increases per capita farm income by 13%. Pathway analyses show that mobile money adoption increases the likelihood of using chemical fertilizer on maize plots by 11 percentage points. Mobile money adoption increases the likelihood of high-yielding maize seeds adoption on maize plots by 8.2 percentage points. In the Ugandan context of rapid decline in soil fertility and very low adoption of fertilizer and modern seeds, mobile money provides an avenue to finance agricultural intensification.

Many cattle producers and producer organizations are concerned that the live cattle negotiated market has become too thin. The percentage of live cattle procured through direct negotiations has declined below 20%, while the percentage procured through formulas has increased to more than 60%. Most formulas are based on directly negotiated cattle prices. Proposed legislation mandating that a larger percentage of live cattle be procured through negotiations represents a market intervention. We show that live cattle futures prices are good proxies for negotiated cash prices, while being less restrictive for meeting proposed cash cattle procurement percentage requirements.

We contribute to the inverse farm size-productivity puzzle (IR) literature by examining the relationship using a unique data set from southern Ghana that covers farms between 5 and 70 ha. The study uses an instrumental variable (IV) for land size to mitigate some effects of measurement error in land size. The inverse relationship between farm size and farm productivity is upheld when ordinary least squares estimators (OLS) are applied but becomes insignificant although still negative in the IV estimation. The results show that measurement error in land size attenuates the IR. While some studies found the IR to flatten and then become positive, this study finds that in Ghana, the IR only flattens.