Abstract.No-till acreage has increased in recent years, but many farmers alternate no-till with other tillage practices, limiting public and private benefits from sustained no-till adoption. Revealed preference data are used in an ordered logit regression analysis to determine the effect of soil characteristics, climate, regions, farm characteristics, and producer demographics on producers' choices to use continuous tillage, alternate no-till systems with tillage systems, or continuously use no-till. The model provides insight into the characteristics and conditions that are conducive to each tillage regime. The attributes found to significantly affect continuous no-till use are erodibility classification, drainage, farm size, and climate.
As with many academic fields in the United States, white male faculty have historically been the norm in the agricultural and applied economics profession, but demographics in the field have started to shift over the past several decades. This paper presents descriptive evidence of the current and historical status of underrepresented and historically underserved groups in our profession, including white women and racial and ethnic minorities of all genders. It also provides a snapshot of perceptions of departmental climate, data on incidents of harassment and discrimination in our profession, motivations for switching academic institutions, and finally, data on strategies for retaining faculty from diverse groups.
Climate change and soil degradation are the issues depleting the soil's ability to promote good yield. One of the ways to combat this is the practice of conservation agriculture (CA). This study was carried out to explore and investigate the impact of CA. Multinomial endogenous switching regression model and cross-sectional data were used to investigate the determinants and the impact of the adoption of CA on the income of smallholder maize farmers in Mpumalanga Province, South Africa. Three categories of CA (minimum tillage, crop diversification and a combination of both minimum tillage and crop diversification) were considered. The empirical results revealed that regardless of the choices of CA practices adopted by the maize farmers, the income realized was higher for adopters than for non-adopters of CA practices. The average treatment effect for the adopters of both minimum tillage and crop diversification was the highest, showing an increase in income by 60.31% (R15575.99/$996.57USD) compared to the non-adopters. The policy implication for these results is that there is a need to promote the adoption of CA practices, particularly a combination of both minimum tillage and crop diversification, given their significant impact on farmer income, an important welfare outcome that has significant implications on food security and poverty alleviation.
This paper is a part of the EDIS series “Economic Value of Florida Water Resources” and it presents results from economic studies examining benefits from water-based recreation in Florida. Our special focus is freshwater-based recreation. Specifically, studies examining the “economic contribution” or “economic impact” of recreation activities around various natural sites are discussed. Interested reader can pick and choose the studies most relevant to his/her area of interests or those discussing recreational sites nearby.https://edis.ifas.ufl.edu/fe1065
Florida has many ecosystems that are thought of as especially important such as springs, coasts, dry prairies, and the Everglades. One of the ways importance is measured is through value. The term ecosystem services describes the benefits ecosystems and their components provide humans. This publication describes some of the ways to measure ecosystem services and explains how the different approaches to assess ecosystems might be selected, depending on what is most important to the user. This publication should help Extension and outreach agents, as well as agency personnel better understand ecosystem services values and explain them to the public. It should also help interested members of the public who wish to learn more about ecosystem services for themselves.
This study focuses on clustering irrigation and nutrient best management practices (BMPs) that help to improve water quality and quantity using a multiple indicator multiple causation model. Data from a survey of Florida growers' irrigation and nutrient practices are used to identify bundles that growers adopt using a cluster analysis. Identified bundles are regressed on grower and farm characteristics. Growers with a college degree or more, income greater than $100,000, greater farm experience, larger operations, organic production, and who produce multiple crops are more likely to adopt the specified practice bundles. Our results can help increase participation in BMPs adoption programs.
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