Green nudges are used to promote conservation and pro-environmental behavior. This study examines the lasting effectiveness of a green default nudge in paper conservation, where price incentives are absent. At a private college in New York City, the default print setting was changed from single-sided to double-sided in Spring 2019, accompanied by a salient pop-up window that asked students to print double-sided. Analyzing student-level data over four semesters (Spring 2018 and Fall 2018 as control, Spring 2019 and Fall 2019 as treatment), this research contributes to the literature as it studies the effect of the nudge in the absence of pecuniary incentives. The findings support the hypothesis that this green default nudge was effective in promoting paper conservation and increasing resource efficiency. Results show that double-sided printing increased while single-sided printing decreased, leading to an overall reduction in paper usage. Employing a panel regression model with student fixed effects, this study finds that the nudge had a statistically significant effect in reducing the sheets per page ratio, and it improved the efficient use of paper by 19 percent. This inexpensive behavioral intervention proves successful in promoting environmental behavior and reducing paper consumption, which reduces greenhouse gas emissions.

The objective was to estimate the difference in cost, revenue, and profit between unassisted and assisted calvings on western Canadian cow-calf operations. Historical records of individual animal production measures from 2015 to 2020 and industry-described inputs were used in a modified decision tree model. The incidence of assisted calvings in heifers and cows was 4.6 and 2%, respectively. Assisted heifers and cows had an expected profit of −$227.43 and −$67.06 CAD per calving, respectively, while unassisted heifers and cows had an expected profit of −$76.11 and $120.12 CAD per calving, respectively. Calving assistance can impact the profitability of western Canadian cow-calf operations.

This paper tests the pollution emissions and institutional quality nexus in Africa. Specifically, we analyze the effect of the political regime and the quality of political governance on CO2 emissions. To control for endogeneity, we apply the system generalized method of moments on a dynamic panel of African countries over the period 1996–2020. The key finding suggests that better institutions have a negative and significant effect on pollution in Africa. The findings also validate the environmental Kuznets curve hypothesis. Moreover, the results support the pollution haven hypothesis. Finally, if digitalization significantly curbs pollution, then industrialization, natural resources, as well as the intensive use of energy, are considered as positive predictors. All the sensitivity and robustness tests globally validate the strength of the negative association between the good quality of institutions and the level of polluting emissions in Africa. The results call for some policy recommendations in environmental regulation for African economies.

Effective irrigation management is critical for future food supplies and the prosperity of producers engaged in irrigation production. Through a deficit irrigation field experiment, we determine the financial impact on producers caused by changing irrigation costs, corn prices, extreme weather events, and restricting irrigation levels. Results suggest that the optimal economic strategy within our constrained optimization model is to fully irrigate, with the economic impact highly dependent on commodity prices, restriction level, and irrigation costs. The greatest economic losses caused by irrigation restrictions come from decreases in yield. Some simulations resulted in negative profits, indicating that a switch to alternative crops requiring less irrigation may be warranted.

This study examines the impact of the row planting method on maize productivity and risk exposure using panel datasets from Ethiopia. A flexible moment-based production function is fitted to capture the expected yield, yield variance, and exposure to downside risk. A Mundlak–Chamberlain approach is combined with a switching regression treatment effects model to account for unobserved heterogeneity and endogeneity. The study shows that adopters of the row planting method significantly reduced exposure to downside risk while increasing expected yield. The analysis also identified some household and environmental conditions that affect the gain from the row planting method.

The goal of natural resource damage assessment (NRDA) is to compensate the public for losses to natural resources from past or ongoing hazardous releases, including losses that may persist into the future. Compensation is delivered in the form of restoration projects. Resolving NRDA liability requires balancing losses and restoration benefits over multiple decades and converting them into a present value for calculating appropriate damages. For the past two decades, NRDA practitioners have used a real discount rate of 3 % to convert losses and benefits to a present value equivalent. That rate was based, in part, on real historical yields on risk-free debt (e.g., the real rate of return on 3-month Treasury bills). Declining interest rates on risk-free debt in recent years has led to suggestions to reexamine the historical consensus discount rate. This paper reviews two alternative conceptual paradigms for selecting a discount rate in NRDA cases: the social rate of time preference and discount rates for tort cases. We summarize historical data for empirically implementing the two paradigms and discuss the ramifications of the different options. Based on our review, we suggest maintaining the 3 % consensus as a practical solution to a range of empirical candidates within the two conceptual paradigms.

The goal of this study is to perform a comparative analysis of agroecological and conventional small coffee farms. We investigated 15 coffee farms in the East region of Minas Gerais, a Brazilian rural region, based on coffee production using a multicriteria analysis with economic, social and environmental factors. The results suggest that agroecological farms perform better than conventional farms in terms of sustainability, reduce labor intensity and improve income stability and the environmental impact, such as agro-biodiversity and forest cover. In particular, the results reveal that agroecological farms, though they have lower levels of coffee productivity than conventional farms, perform better in terms of income stabilization. This result depends on product diversification (such as agri-food products, vegetables or fruits) for local markets, which reduces farmer risks associated with coffee price volatility, improving both the local economy and local food security. Moreover, agroecological farms rely more on labor than capital. Overall, the results of this study reveal that agroecological systems support the socio-economic sustainability of the rural areas under study and suggest the potential of agroecology to boost sustainable development in the East Region of Minas Gerais. In short, the spread of agroecological systems could improve local employment conditions, reducing migration toward large cities and shanty towns in other parts of Brazil. Hence, agroecology systems can represent the main alternative to conventional production systems to improve the well-being and wealth of rural populations in developing countries. The analysis presented in this study is based on a specific case study, but the rural area under study has many similarities with other areas in Latin America regarding all aspects of economic, social and environmental sustainability. Finally, some agricultural policy implications are discussed.

Population growth and rising incomes have led to increasing global demand for meat products. Meeting this demand without converting remaining natural ecosystems or further degrading ecosystems is one of the largest global sustainability challenges. A critical step to overcoming this challenge is to increase the productivity of livestock grazing systems, which occupy the largest land area of any type of agriculture globally. Integrated crop−livestock systems (iCL), which re-couple crop and livestock production at the farm scale, have been considered a promising strategy to tackle this challenge by restoring degraded pasturelands and providing supplemental nutrition to livestock. However, few studies have analyzed the economic viability of such systems, especially in Brazil, an important player in global food systems. This paper presents an economic analysis of iCL in Mato Grosso, Brazil, the largest grain and beef producer in the country, which spans the ecologically diverse Amazon, Cerrado and Pantanal biomes. We compare the economic performance of an integrated soybean/corn and beef cattle system to a continuous crop (soybean/corn) system and a continuous livestock (beef cattle) production system from 2005 to 2012. We use empirical case study data to characterize a ‘typical’ farm for each production system within the study region. We find that the integrated crop−livestock system has a higher annual net present value (NPV) per hectare (ha) than continuous cropping or livestock under a range of discount rates. However, under a scenario of substantially higher crop prices, the continuous cropping outperforms iCL. While iCL is not feasible in all regions of the Amazon and Cerrado, our results indicate that in places where the biophysical and market conditions are suitable for production, it could be a highly profitable way to intensify cattle production and potentially spare land for other uses, including conservation. Nevertheless, additional credit and technical support may be needed to overcome high upfront costs and informational barriers to increase iCL areas as a sustainable development strategy for agriculture in the Amazon and Cerrado regions.

This article updates and expands the literature on the impact of production quotas. Unlike many of the early studies, our focus is largely on the removal of production quota programs. We study cases wherein production quota programs have been eliminated and quota owners were compensated for their losses. Specifically, we examine (1) production quotas in both the absence and presence of trade, (2) production quota buyouts (three case studies), (3) sources of funding, and (4) general equilibrium considerations. A fifth section briefly discusses externalities, the interpretation of consumer surplus measures, and the nature of conducting economic analyses of addictive goods.

Despite high employment rates and starting salaries for qualified graduates of agribusiness, agricultural, and applied economics (AAAE) programs, several AAAE departments have experienced years of low enrollment. This study offers insight into how AAAE programs can more effectively market themselves and recruit undergraduate students through analysis of a nationwide survey of college and department personnel and a statewide survey of high school students. Findings reveal important differences between students’ preferred information and message sources and those currently used. Gaps in understanding of AAAE across administrative units are also identified. Specific program awareness, marketing, and student recruitment recommendations are offered.

Results are presented from a Web-based survey of instructors in agricultural economics and related departments about their use of, and attitudes about, classroom economic experiments.

Herein we explore the economic value of delaying inevitable environmental damage due to aquatic invasive species, which is a problem especially relevant to tropic and subtropical regions. We developed an analytical framework and tested it using a stated preference survey. The results suggest that delaying the impacts can be valuable. Other tests reveal characteristics of the willingness-to-pay estimates that are consistent with economic theory.

Use of seasonal climate forecasts is a rapidly evolving area. Effective research and application of climate forecasts require close cooperation between scientists in diverse disciplines and decision makers. Successful collaboration requires all players to at least partially understand each other's perspectives. Issues associated with seasonal forecasts, through a selected review of both physical and social sciences literature, is presented. Our hope is that the review will improve research in this area by stimulating further collaborations.

Fruit and vegetable consumption is associated with improved health outcomes,yet there is limited understanding of the impact of cost and accessibilityon fruit and vegetable intake in rural settings. This study examines therelationship between the consumption of fruits and vegetables and their costand accessibility among blacks and non-Hispanic whites in a rural area.Individual characteristics from a 2006 mail survey (n = 1,510) were combinedwith store locations and price information from a 2006 ground-truthed censusof retail outlets. The mail survey covered seven counties in central Texaswith 38 supermarkets/grocery stores. Blacks tended to live closer to asupermarket or grocery store, but they were only slightly more likely thanwhites to consume two or more servings of fruit daily and much less likelyto consume three or more servings of vegetables. Multivariate probitregression analysis revealed that neither access nor cost was related tofruit or vegetable consumption among white respondents. Among blacks, costwas also not associated with consumption. In contrast to whites, however,each additional mile was associated with a three percentage point decline inthe probability of consuming two or more servings of fruit daily and a 1.8percentage point decline in the probability of consuming three or morevegetable servings.

This article analyzes the impacts of different levels of forest productivity scenarios, disturbance risk, and salvageable rates resulting from climate change on the economics of loblolly pine in the southern United States. Potential adaptation strategies examined include reduction in planting density and use of slash pine instead of loblolly pine. Economic returns are most sensitive to changes in disturbance risk and productivity changes as compared with the salvage rate, planting density, or species selection. Loblolly pine with low planting density economically outperforms high-density loblolly pine. Slash pine is generally a less viable option compared with loblolly pine in most cases.

This article analyzes the impact of removing the U.S. tobacco program inboth a partial and general welfare economics framework. In apartial-equilibrium framework, a consumer tax-funded quota buyout can resultin producer gains, consumer losses, net losses resulting from higher prices,and deadweight losses. In a general-equilibrium framework, society can gainfrom the buyout resulting from considerable potential savings from reducedhealthcare costs attributable to a reduction in smoking. Additionally, wepresent a model that addresses the addictive qualities of tobacco whileconsidering the effects of the quota buyout. We also conclude that anotherpossible effect of the buyout is an increase in worker productivity becauseemployees who are able to quit smoking reduce the amount of smoking-relatedsick days taken.

We detail the rewards and barriers to participating in multidisciplinary research (MDR) using a 2011 survey of applied economists at U.S. universities. We compare these findings with an earlier 1993 survey to assess if rewards and barriers have changed over time. Different administrative levels of U.S. universities are sending contradictory signals regarding rewards from MDR. External funding agencies convey positive signals. Although the scope and breadth of questions addressed by applied economists are changing over time, institutional incentives and reward structures are not keeping pace with these changes. Progress toward adapting to new professional demands has been slow.

Although Vector Autoregressive models are commonly used to forecast prices, specification of these models remains an issue. Questions that arise include choice of variables and lag length. This article examines the use of Forecast Error Variance Decompositions to guide the econometrician's model specification. Forecasting performance of Variance Autoregressive models, generated from Forecast Error Variance Decompositions, is analyzed within wholesale chicken markets. Results show that the Forecast Error Variance Decomposition approach has the potential to provide superior model selections to traditional Granger Causality tests.