Certification of family forests: What influences owners’ awareness and participation?

In the United States, 35% of the forestland is owned by family forest owners with approximately 0.2% of this land reported to be enrolled in a forest certification system. The current study was conducted to provide insights into factors influencing family forest owners’ decisions to certify their lands. The bivariate probit model with sample selection results suggests that receiving professional advice regarding the forestlands and having a written management or stewardship plan had the highest positive marginal effects on awareness of certification programs and participation in these programs. Non-timber objectives had negative marginal effects on awareness of certification programs.     

The impact of perception and other factors on the adoption of agricultural technology in the Moret and Jiru Woreda (district) of Ethiopia

The objectives of this study arc to examine both the significance of the impact of farmers' perceptions regarding new technology for the adoption decision and how perceptions themselves are influenced by the decision to adopt new technology. The study is based on data from 96 wheat farms in the Moret and Jiru woreda (district) of Ethiopia. The probit approach is used to analyse the adoption decision, while the variables relevant to farmers' perceptions are modelled using the ordered probit methodology. A simultaneous equations model combining the probit and ordered probit approaches provides a useful approach to modelling the two-way relationship between perception and adoption. Variables such as farm size, farm income and soil type have a key role to play in the model. Perception is measured by eight different components and as there is a strong collinearity among these various measures, a principal components analysis is attempted to draw the best possible linear combination of variables.     

Social and cultural determinants of collective management of community forest in Nepal

The main goal of the study is to determine which socio-economic factors affect level of participation in the community forest management of “Ludhi-Damgade” of Gorkha district in Nepal. The empirical evidence for level of participation as a function of social status is obtained by using an ordered probit and two-stage least-squares model. The model also estimates the marginal effects of socio-economic factors on different levels of participation suggesting how per unit change in such socio-economic characters affects the level of participation. Empirical results from the model also verify that participation in forest management determines the quantity and type of benefits received from the community forest. The research findings of the study suggest that participation in community forest management is based on the socio-economic profile of an individual and the level of participation is determined by the benefits obtained from the common forest resources. Lack of participation in community forest management excludes the disadvantaged groups from decision-making in product distribution. Consequently, the disadvantaged groups get less benefit from the community forest. The empirical results are expected to aid policy makers in empowering people of lower socio-economic status to understand the importance of participation in community forest management in order to have equal distribution of benefits accrued by community forest.     

Identifying Factors Affecting Consumption of Peanut Tahina in Bulgaria

Abstract

A demand for snack foods has emerged as market-oriented reforms and privatization progresses in Bulgaria. Information is needed about consumer preferences to compete in the emerging market. This study identified socioeconomic and demographic characteristics influencing the consumption of peanut tahina, a unique product made of ground peanuts. An ordered probit model with sample selection showed that household income, education, age, and location significantly effected the decision to consume the product, but not the consumption intensity.     

Factors Influencing Retailers' Decision to Sell PDO/PGI Fresh Meat

Abstract

The objective of this paper is to analyze retailers' attitudes toward region of origin labeling in fresh meat and the factors influencing retailers' decision to sell these quality labeled meats. Data come from a survey conducted with retailers in Spain (Aragon) in 2002. Firstly, retailers' attitudes toward region-of-origin labeled meat are investigated. Secondly, factors affecting the probability to sell region-of-origin labeled for two meat products (beef and lamb) and the level of sales are determined. To do this, a probit model has been specified to analyze the probability to sell region-of-origin labeled beef/lamb and an ordered probit, to study the level of sales for beef/lamb.     

The tilling of land in a changing climate: Empirical evidence from the Nile Basin of Ethiopia

Empirical studies point to reduced tillage as a means to increase yields and reverse land degradation. A relatively neglected avenue of research concerns why farmers increase tillage frequencies. Using household-plot level panel data from the Nile Basin of Ethiopia, this article applies a random effects ordered probit endogenous switching regression model to empirically investigate the impact of weather events and other conditioning factors on farmers’ choice of tillage intensity and the effect of changing tillage frequencies on differences in farm returns. Results indicate that, while low frequency tillage is more likely in drier areas, plot-level shocks (such as pests and diseases) are key variables in the choice of high-frequency tillage. Adoption of a low-till approach leads to increasing farm returns in low-moisture areas but high-frequency tillage provides higher returns in high-rainfall areas. Understanding how farmers’ tillage options correlate with climatic conditions and farm economies is salient for developing effective adaptation and mitigation plans.     

Does Spatial Dependence Affect the Intention to Make Land Available for Bioenergy Crops?

We find spatial dependence in landowners’ stated intentions to make land available for bioenergy crops. Our data are generated from a contingent valuation survey of 599 owners of marginal land in southern Michigan. Employing a Bayesian framework and using these spatially explicit data, we estimate and compare non‐spatial probit and spatial Durbin probit models to examine the presence of spatial dependence in land rental intentions. Results show that intentions to rent land for bioenergy crop production are spatially dependent. This spatial dependence arises both from the land supply intentions of nearby landowners and from spatial spillover effects of landowner characteristics and attitudes towards environmental amenities and the disamenities of land rental. We show that ignoring spatial dependence in the intentions of neighbouring landowners to participate in land rental markets for bioenergy feedstocks can lead to distortions that underestimate total effects. Our finding implies that studies of land use and crop supply should test for spatial interactions in order to make accurate inferences.     

Valuing Australian botanic collections: a combined travel‐cost and contingent valuation study*

Economic values of biological collections in three Australian botanic gardens in Canberra, Melbourne and Sydney were estimated using the travel‐cost method (TCM) and the contingent valuation method (CVM). The TCM component of the study produced average per‐trip consumer surplus (CS) values of $39 and $18 for single‐ and multiple‐site visitors, respectively, for each botanic garden, resulting in an estimate of approximately $194 million for the total social welfare generated by trips to the three sites. Marginal willingness to pay (WTP) for access to botanic gardens was also investigated through payment vehicles of entry fees or higher parking charges using the CVM component. The analysis revealed a positive mean WTP of between $3 and $5 per trip per person. The difference between the CVM and TCM results reflect the different underlying concepts of value under investigation: average CS per visit for the TCM and the utility arising from a marginal visit for the CVM. Marginal changes in CS from the TCM were derived. The confidence intervals from the TCM marginal values overlap the WTP estimates from the CVM. These findings will be useful for resource management decisions in the botanic gardens collection in Australia.     

La Participation des Adhérents Dans Leurs Coopératives Agricoles: Une Étude Exploratoire du Secteur Céréalier Français

When a farmer joins an agricultural cooperative, he or she undertakes to participate in the cooperative economically, as a co‐operator, and also in its administration, as an associate. Yet, today, researchers and directors of cooperatives are observing a drop in member participation in both spheres. The goal of this paper is to build a typology of the members of grain farmer agricultural co‐operatives in France, based on the members’ participation, and then use a multinomial probit model to identify the factors that come into play and result in a member belonging to a given category in the typology. We make the hypothesis that attitudes with respect to organizational involvement and the member's confidence in his or her co‐operative can explain these differences in behavior, along with individual variables tied to the member and his or her farm business, and variables associated with the co‐operative to which the member belongs. Following the analysis of the participation behavior of the 290 members in the sample, the members can be grouped into three distinct categories: “individualists,” “good soldiers,” and “engaged.” The results of the multinomial probit model on these three categories show, in particular, that attitude toward organizational involvement has a significant effect, as do the presence of storage on the farm and the size of the cooperative on the probability of being an “individualist” rather than a “good soldier” or “engaged.”     

Farm machinery use,off‐farm employment and farm performance in China

We analyse the joint impacts of farm machinery use and off‐farm employment on maize yields and agrochemical expenses from a household survey of 493 farmers in China. Our findings are obtained from an innovative two‐stage econometric procedure that combines a bivariate ordered probit model with an endogeneity‐corrected ordinary least square regression model. The results show that farmers are jointly making decisions to use farm machines and to work off the farm and that these two household activities affect maize yields and agrochemical expenses in different ways. We show that farm machinery use significantly increases both maize yields and agrochemical expenses, while off‐farm employment significantly decreases agrochemical expenses. Our findings highlight the importance of additional machinery use in increasing farm production; the need to account for possible endogeneity in estimation; and the statistical significance of key household characteristics (gender, education, and household size) on overall farm production.     

Retail Price Fixity as a Facilitating Mechanism

Previous theoretical explanations for retail price fixity show that fixed retail prices can be consistent with either competitive or imperfectly competitive behavior. We develop a conceptual model of retail pricing wherein fixed price points are facilitating mechanisms for tacit collusion. A non-cooperative equilibrium in fixed retail prices is supported through credible threats to revert to Nash pricing if cheating is suspected. We test the implications of this model using a two-stage, ordered probit approach in weekly supermarket pricing data. The results show that price fixity does support collusive equilibria among retailers, but other factors may also explain retail price behavior.     

Choosing Brands: Fresh Produce versus Other Products

Assuming that brands contribute to quality risk reduction, prestige, and design, we derive and test hypothesis on the willingness to pay (WTP) for brands across different product categories (electronics, clothing, packaged food, and fresh produce). Using the random effect tobit model on the stated point value of WTP and the ordered probit model on the stated range of WTP, we find that WTP for brands of fresh produce is least among the four product categories controlling for relevant demographic variations. Simulations show that fresh produce has a higher optimal price premium for brands but with a much smaller market share.     

Utilizing conjoint analysis to design modern crop varieties: empirical example for groundnut in Niger

Preferences for monetary and non-monetary plant traits influence modern crop variety adoption decisions of farmers. To enhance adoption probability of modem crop varieties, it is necessary to identify and locus research on traits that significantly contribute to utility while de-emphasizing insignificant plant attributes. This paper illustrates the potential for applying conjoint analysis to aid the design and targeting of client-responsive modern crop varieties, farmers ranked eight orthogonally-derived plant trail combinations used in an illustrative example. Utilities were estimated using the choice-probability-based method of ordered probit. Results showed that conjoint analysis can differentiate significant and non-significant trails of modern crop varieties. The usefulness of applying conjoint analysis over identifiable disaggregated groups of a sample was also evident. Future application of conjoint analysis to the design and targeting of modern crop varieties should carefully consider sample composition and size to permit the estimation of relevant sub-models for desired farmer segments.     

Effect of Experimental Design on Choice-Based Conjoint Valuation Estimates

In this article, we investigate the effect of several commonly used experimental designs on willingness-to-pay in a Monte Carlo environment where true utility parameters are known. All experimental designs considered in this study generated unbiased valuation estimates. However, random designs or designs that explicitly incorporated attribute interactions generated more precise valuation estimates than main effects only designs. A key result of our analysis is that a large sample size can substitute for a poor experimental design. Overall, our results indicate that certain steps can be taken to achieve a manageably sized experimental design without sacrificing the credibility of welfare estimates.     

The Influence of Trust and Attitudes on the Purchase Frequency of Organic Produce

Growth in organic food sales is mainly due to consumers becoming more aware of health issues and environmental concerns. Understanding the drivers of organic consumption is crucial to predict future market outcomes. In this analysis, the authors expand previous research by including general and institutional trust variables in addition to consumer attitudes to examine organic food purchases. Food production is unobservable and hence, consumers need to exhibit trust with respect to organic production and certification. A bivariate ordered probit model applied to U.S. survey data confirms that organic purchases are determined by health, nutrition, and taste. In some cases, general trust and trust in media are statistically significant. Trust in institutions that are involved in the organic certification process is not statistically significant. A hierarchical cluster analysis grouping consumers based on trust and attitudes shows that (dis)trust in the organic certification and supply chain does not hinder organic food market growth.     

Welfare impacts of maize–pigeonpea intensification in Tanzania

This article examines the driving forces behind farmers’ decisions to adopt improved pigeonpea and maize and estimates the causal impact of technology adoption on household welfare using data obtained from a random cross‐section sample of 613 small‐scale farmers in Tanzania. We use seemingly unrelated and recursive bivariate probit regressions to test the endogeneity and joint decision making of pigeonpea–maize production. A double hurdle model is used to analyze the determinants of the intensity of technology adoption conditional on overcoming seed access constraints. To address the impact of adoption on welfare, the article employs both propensity score matching and switching regression techniques. Results from bivariate probit models show that unobservable factors cause both decisions to be correlated but the finding does not support the conjecture that both decisions are made jointly. Overall the analysis of the determinants of adoption identifies inadequate local supply of seed, access to information, human capital, and access to private productive asset as key constraints for pigeonpea technology adoption. The causal impact estimation from both the propensity score matching and switching regression suggests that maize/pigeonpea adoption has a positive and significant impact on income and consumption expenditure among sample households.     

购买社会保险能提高农民工主观幸福感吗？——基于上海市2942个农民工生活满意度的实证分析

本研究采用2016~2018年国家统计局上海调查总队农民工市民化进程动态监测调查的2942份农民工样本数据,利用有序Probit模型实证研究了社会保险对农民工主观幸福感的影响。研究表明,购买社会保险可以显著提高农民工的主观幸福感,且购买的社会保险种类越多,其主观幸福感越高。购买社会保险的农民工比未购买社会保险的农民工主观幸福感高21.70%,每多购买一种社会保险,其主观幸福感提高6.10%。五种类型的社会保险均能显著提高参保农民工的主观幸福感,其中购买医疗保险带来的边际效应最高,其次为养老保险,最低的是工伤保险。通过倾向得分匹配法和分样本分析,发现原模型的回归结果具有较好的稳健性。最后,基于研究结论提出了进一步提高农民工群体主观幸福感的政策建议。     

“Resistance is futile”: estimating the costs of managing herbicide resistance as a first‐order Markov process and the case of U.S. upland cotton producers

A 2012 survey of upland U.S. cotton producers was analyzed to determine the factors contributing to changes in weed management costs (WMCs) after the identification of herbicide‐resistant weeds. An ordered probit regression estimated changes in WMC as a first‐order Markov process. The most important determinants of post‐resistance cost increases were initial WMCs, adoption of labor‐intensive remedial practices, and wick application of herbicides. Cultivation and mechanical/chemical‐intensive practices did not increase WMCs. Post‐resistance changes in WMC ranged between $85 and $138 ha^?1, depending on the practices adopted. WMCs increased by $88 ha^?1 when cost‐neutral practices were adopted. The in‐sample aggregate costs of managing herbicide resistance ranged between $25 and $53 million, depending on the types of adopted practices.     

Why U.S. Consumers Support Country of Origin Labeling: Examining the Impact of Ethnocentrism and Food Safety

ABSTRACT

The legality of U.S. country of origin labeling (COOL) laws for agricultural products has been challenged by foreign countries. Isolating the reasons why consumers support COOL can help determine the efficiency of COOL as a policy. Therefore, this study investigated why consumers have a desire for COOL. Data were collected through an online survey with 566 U.S. participants. Results of a bivariate ordered probit model indicate that as consumers are more ethnocentric and more pessimistic about the safety of their food, they are more likely to support COOL for sugar and for sugar in soft drinks. Thus, policies designed to inform the public about the safety of foreign commodities could reduce their desire for COOL. Evidence is also provided that highly ethnocentric individuals support COOL in an effort to “buy American” products.     

Population and industrial pressure on local environmental expenditure in the Italian regions

The objective of this paper is to test for the presence of pressure by industrial groups and population on the local environmental expenditure of Italian regions in the period between 2001 and 2014, and evaluate their effects. Blundell and Bond system estimators are used to estimate the econometric model. Results evidence the presence of population pressure on government environmental services supply, and a decrease in the demand for local environmental public services in higher-wages industries for the whole sample. In the Northern and Central regions both population and industrial pressure are present, and all the regressors have the expected effect on regional environmental expenditure. Policy-makers’ decision-making seems not to be driven either by population or by local industries in Southern Italy.