Farmers’ objectives as determinants of organic farming adoption: the case of Catalonian vineyard production

This article assesses the decision to adopt organic farming practices. We use Duration Analysis (DA) to determine why farmers adopt organic farming practices and what influences the timing of adoption. We extend previous studies by including farmers’ objectives, risk preferences, and agricultural policies as covariates in the DA model. The Analytical Hierarchy Process is used as a multicriteria decision‐making methodology to measure farmers’ objectives. The empirical analysis uses farm‐level data from a sample of vineyard farms in the Spanish region of Catalonia. Farmers’ objectives are found to influence the conversion decision. Moreover, farmers who are not risk averse are more likely to adopt organic farming. Results point to the policy changes that have been most relevant in motivating adoption of organic practices.     

Modelling Farmers’ Participation in an Agri‐environmental Scheme using Panel Data: An Application to the Rural Environment Protection Scheme in Ireland

Previous studies that have attempted to model the participation decision of farmers in agri‐environmental schemes have used a static framework where it was not possible to examine changes in the participation decision of farmers over time. This is rectified in this paper by utilising an 11‐year panel that contains information on 300 farmers for each year. The structure of this dataset allows us to employ discrete time duration random effects panel data logit models to model the determinants of entering the Irish Rural Environment Protection Scheme (REPS). We introduce a dynamic element into a number of the models by using the random effects logit model estimator, with lagged dependent variables as additional explanatory variables. The results point to the fact that systems of farming that are more extensive and less environmentally degrading remain those most likely to participate in the REPS. In addition, the results highlight the fact that where no attempt is made to control for unobserved heterogeneity or path dependency the effects of the farm‐ and farmer‐specific characteristics may be overestimated.     

Factors Affecting Farmers’ Participation in Agri‐environmental Measures: A Northern Italian Perspective

Agri‐environmental measures play an important role in Italian rural areas, as shown by the financial commitment to the Rural Development programmes. However, in contrast with other European Union (EU) countries, policy‐makers still have limited experience on how farmers approach environmental incentive schemes. This paper casts new light on this issue from a northern Italian perspective. The rationale of the farmers’ decision‐making process is explored using two multinomial models. The first explains the probability of non‐participation or participation in one of three specific agri‐environmental measures. The model outcomes show that labour‐intensive farming types and high dependency of household income on farming activity constrain farmers’ participation, whereas previous experience, easy‐to‐implement environmentally friendly farm practices and adequate compensation of extra costs encourage participation. The second model explores the effect of farmers’ attitudes and beliefs on their predispositions towards participation in any of the schemes. The results highlight that, besides income factors, the farm's future in the business, and the relationship with neighbouring farmers and their opinions on environmentally friendly practices all have significant effects on adoption of agri‐environmental measures. The paper concludes by suggesting that farmers’ attitudes and beliefs, as well as the local behavioural influences, have to be taken into account when designing and communicating agri‐environmental measures.     

采纳生态种养技术对农户脆弱性的影响——以长江中下游地区稻虾共作技术为例

目的 脆弱性是贫困的深层次原因,也是贫困的重要表现,识别和降低农户的脆弱性是解决相对贫困、长效性脱贫问题的关键。方法 文章基于湖北、湖南、安徽3省974份农户调研数据,运用内生转换模型,分析了农户采纳稻虾共作技术对其脆弱性的影响。结果 （1）农户采纳稻虾共作技术能切实降低其脆弱性,采纳该技术的农户较未采纳时脆弱性降低280.659%,未采纳该技术的农户若采纳该技术脆弱性将降低44.255%。（2）非农就业水平在农户技术采纳和脆弱性之间起到正向的调节作用。（3）农户的个体特征、家庭特征、社会服务便利性及村庄特征均会显著影响农户的稻虾共作技术采纳决策和脆弱性。结论 农户采纳稻虾共作技术能有效降低其脆弱性,但随着农户非农就业水平的提高,稻虾户反而更脆弱,因此要完善农技推广机制,健全非农就业保障和帮扶机制,进而发挥稻虾共作技术长效脱贫功效。     

Risk Behaviours and Grazing Land Management: A Framed Field Experiment and Linkages to Range Land Condition

We use a framed field experiment considering hypothetical stocking rate decisions made by grazing enterprise managers and estimate non‐linear multinomial logit models for a range of nested non‐expected utility and expected utility models. The risk and decision‐bias parameters for five models estimated for individual responses are shown to be significantly related to land condition but in ways which suggest behavioural aspects of decision making are critical in understanding land management and stocking rate decisions. Our results show that individual heterogeneity in decision making amongst farming groups is likely to be a significant source of variation in farming intensity and technology adoption decisions. This heterogeneity does not appear to be a reflection of socio‐demographic characteristics. Furthermore, decision functions appear to be biased toward selection of simpler representative functions (e.g. Expected Utility) for sample averages. This suggests that experimental findings that Expected Utility is representative for actual decisions may be due to sample averaging rather than reflect actual behaviour.     

What carbon farming activities are farmers likely to adopt? A best–worst scaling survey

Transferring carbon from the atmosphere into terrestrial sinks through carbon sequestration practices (so-called ‘carbon farming’) has been proposed as an important component in Australia’s efforts to mitigate greenhouse gas emissions. We use a Best–worst scaling survey to determine which carbon sequestration practices farmers would be most and least likely to adopt, and what factors were most important in any potential adoption decision. The survey was distributed to dryland cropping and mixed crop-livestock farmers in Western Australia. Farmers ranked improved soil quality and reduced soil erosion as the most important potential co-benefits of carbon farming. Factors discouraging farmers from participating in carbon farming contracts were policy and carbon price uncertainty and the uncertain impact of carbon farming practices on productivity and profitability. Farmers had strong preferences for stubble retention and no-till cropping practices as carbon farming strategies. The practices that farmers preferred least were applying biochar and planting trees. Farm and farmer characteristics, including (lack of) awareness of carbon farming policies and opinions about climate change, influence the potential willingness to adopt different carbon farming practices. Given recent policy uncertainty and farmer preferences revealed in this study, it is important to communicate potential co-benefits (rather than opportunities to earn compensation or carbon credits) to increase farmers’ engagement in carbon sequestration activities.     

Factors Affecting Farmers’ Crop Insurance Participation in China

China's latest crop insurance program, launched in 2007, provides an excellent opportunity to explore the factors affecting farmers’ crop insurance purchase decisions, particularly decision making when crop insurance was first introduced into rural communities. This study surveyed all households in Kuangjiaqiao Village, Changde, Hunan Province, China over a four‐year period, from 2007 to 2010. Using basic regression models for cross‐sectional analysis and advanced models to consider lag effects, this study identifies the dominant factors influencing farmers’ crop insurance decisions. Results indicate farmers developed a dynamic adaptive process toward the new crop insurance. Farmers initially made relatively arbitrary decisions that were significantly influenced by community insistence or pressure to conform. Then, farmers gradually established more rational decision‐making mechanisms in which yield volatility, education, and engagement experience became statistically significant. The focus on the initial stages of the crop insurance program from this study helps improve our understanding of the demands within this rapidly growing market in China.     

土地流转中农业规模经营组织类型的经济分析——基于农户与规模经营组织双向层面的分析

本文从农户与规模经营组织双向层面分析农业规模经营组织与农户土地流转的供求决策准则,用以解释不同农业规模经营组织存在的原因。研究表明,农户劳动力的机会成本、转出土地的租金决定土地转出;农户劳动力要素的总收益、农村社会的特征决定农户对规模经营组织的有效需求。规模报酬与技术进步所要求的最低规模决定规模经营组织的土地转入需求;规模报酬预期,包括土地租金在内的交易费用小于土地转入的纯收益,以及技术进步的资金充足,决定规模经营组织类型的有效供给。     

What farmer types are most likely to adopt joint venture farm business structures?

Joint venture (JV) farm structures have the potential to increase the productivity and profitability of traditional family farms. However, such structures are not widely adopted within the farm business community. Furthermore, knowledge on the relative attractiveness of different JV models to farmers is limited. We use a choice experiment to explore what JV structures are preferred by Australian farmers, and how farmers’ socio‐demographic and attitudinal characteristics influence the type of JV structure preferred. A latent class analysis revealed significant unobserved preference heterogeneity amongst the population. We identify four latent classes that differ in their preferences regarding the number of JV partners, access to new machinery, and/or the opportunity for additional annual leave. All classes of farmers displayed positive preferences for operational decision‐making with other JV partners, although they varied in their preferences towards final operational responsibility. The diversity in preferences shows that there is no ‘one size fits all’ JV design, leaving opportunities for a range of JV decision models. Such flexibility in JV design is likely to have advantages when seeking JV partners, with a significant proportion of the sampled population open to collaborative decision‐making models.     

Environmental grants and regulations in strategic farm business decision-making: A case study of attitudinal behaviour in Scotland

This paper addresses the question of farmer responses to agri-environmental programming in light of the Single Farm Payment, focusing on the role of environmental regulations and grant schemes in strategic farm decision-making. Utilising Ajzen's theory of planned behaviour in a qualitative case study of farmers in Upper Deeside, Scotland, it was found that farmer respondents actively consider environmental regulations and grant opportunities as part of their decision rationale in making investments in farm development, such as agro-industrial building construction or securing additional land. Fulfilling agri-environmental regulations is constructed by respondents as being part of ensuring farm viability, while eligibility for agri-environmental schemes is impacting on how tenanted land is valued. The author identifies three mechanisms facilitating farmer up-take of environmental schemes, and makes a case for consideration of farmers as experts in producing environmental outcomes while maintaining economic sustainability of farming operations.     

耕地保护及其必要性:不同兼业程度农户的认知与意愿——基于珠三角的调查与实证

[目的]探究不同兼业程度的农户对耕地、耕地保护、耕地保护补偿的认知差异,并通过回归方程探究不同兼业程度的农户对实行耕地保护政策必要性认知的影响因素,以期为激发农户的耕地保护积极性,优化耕地保护政策的实施绩效提供依据。[方法]运用农户调查问卷和二元Logistic回归模型,以农户认为实行耕地保护政策是否必要为因变量,以反映农户特征、耕作情况、耕地认知情况、耕地保护态度的13个变量为自变量,对农户认为是否有必要实行耕地保护政策及其影响因素进行分析。[结果]农户类型在1%的水平上显著,纯农户认为实行耕地保护政策的必要性低于两类兼业农户;性别因素在5%的水平上显著,女性农户更认为实行耕地保护政策是必要的;家庭农业年收入在1%的显著水平上呈正向影响;耕地质量和耕地保护行为认知程度这两个多分类变量均只有个别哑变量显著。[结论]加大农户层面耕地保护必要性和重要性的宣传教育;国家级耕地保护补偿统一化,各省、市可实行差异化的耕地保护补偿政策;尽可能满足农户的真实诉求,给农户选择耕地保护方式的自由;鼓励耕地流转和托管,创新和完善相关制度设计。     

农户农业碳排放效率差异及多层次影响因素——以陕西省米脂县为例

目的 分析农户尺度农业碳排放效率差异并揭示多层次影响因素,对提供微观决策支持和推进农业农村低碳高效发展意义重大。方法 文章以陕西省米脂县为例,在测算57个村庄共861个农户农业碳排放及效率的基础上,从农户尺度分析农业碳排放及效率差异,最后基于多层次模型揭示其影响因素。结果 （1）农户整体农业碳排放效率较低,且示范村中的农户农业碳排放效率高于非示范村农户,示范村与非示范村下同一类型农户的冗余类型及占比和示范村（或非示范村）不同类型农户的冗余类型及占比差异明显;（2） 年龄、务农年限、教育水平和农业技能培训是影响农户农业碳排放量的主要因素。（3）就全体农户而言,乡村振兴示范村、距县城距离和政府支持力度是影响农户农业碳排放效率的主要环境变量,务农年限和受教育水平是影响农户农业碳排放效率的主要个体变量。影响示范村与非示范村农户农业碳排放效率的因素有较大差异。结论 不同类型农户农业碳排放效率和影响因素迥异,应根据村庄环境、农户特征等进行差异化政策支持。     

Assessment through socioecological abstraction: The case of nutrient management models in Sudano-Sahelian West Africa

The sustainability of smallholder agriculture in the drylands of West Africa is a topic of long-lasting concern. This paper is focused on the scientific assessment of nutrient (mis)management affecting the long-term productivity of cropland. “Nutrient mining” is seen as a major mechanism for land degradation in the region. Two models will be the focus: that tied to the rangeland-to-cropland metric and the nutrient balance model. These tools of assessment follow a long history of environmental assessment and modeling that purposefully abstracts from the heterogeneity of the same farming practices that modeling efforts seek to assess. Abstraction is always part of modeling but the form of abstraction described here ignores any detailed understanding of farming practices and in so doing, demands very little information about farming practices. In this way, models serve as both the symptom and cause of continued ignorance of farming practices by most agronomists and soil scientists working in the region. The variables used in these models will be described and how these same variables are strongly influenced by the variation of farmers’ practices will be discussed. In addition, it will be shown that needless model abstraction results in research outcomes that provide very little insights to guide land policy formulation and agricultural extension. In short, these models point to the ultimate resource limits of the regional agricultural system but provide few insights of what could be changed to reduce rates of land degradation. The paper concludes by presenting alternative approaches that through their engagement with the diverse positionalities of farmers, provides insights useful for the development of effective land policies.     

The Role of Farmer's Behavioral Attitudes and Heterogeneity in Futures Contracts Usage

The relationship between farmers' behavioral attitudes and use of futures contracts is examined, taking into account non-directly observable variables and the heterogeneity of farmers. The relationships are tested on a stratified data sample of 440 farmers. Cluster analysis and covariance structure equation models are used to validate the relationships. Farmers are found not to be homogenous regarding the factors influencing their use of futures. Heterogeneity at the segment level masked important effects at the aggregate level, notably risk attitude. Furthermore, several psychological constructs for farmers related to market orientation, risk exposure, market performance and entrepreneurial behavior play important roles in their use of futures contracts.     

Why do we need to integrate farmer decision making and wildlife models for policy evaluation?

Environmental and agricultural policy instruments cause changes in land-use which in turn affect habitat quality and availability for a range of species. These policies often have wildlife or biodiversity goals, but in many cases they are ineffective. The low effectiveness and the emergence of unwanted side effects of environmental and agricultural policies are caused by over-simplistic assumptions in the design of policy instruments as well as difficulties with predicting behaviours of policy subjects. When considering wildlife in agricultural landscapes, policy's performance depends both on human (farmers) actions, which the policies aim to affect, and wildlife responses to land-use and management changes imposed by farmers. Thus, in order to design effective agri-environmental policies, detailed ex-ante assessments of both of these aspects are necessary. Due to the restrictive assumptions and technical limitations, traditional agricultural economic and ecological models fall short in terms of predictions of impacts of agri-environmental measures. The feedback situation between policy, human behaviour and ecological systems behaviour can confound these approaches, which do not take systems complexity into account. Therefore, a solution that integrates both feedback interactions and the differing scales at which these interactions take place is needed. For this, we suggest developing integrated policy assessment tools comprising of simulated farmer decision making, on-farm land-use and wildlife responses in the form of spatially explicit, dynamically connected agent-based models. Although complex and necessitating true inter-disciplinarity, these approaches have matured to the point where this endeavour is now feasible.     

APPLICATIONS OF GAME THEORY MODELS IN AGRICULTURE*

Due to the time lag between investment and payoff, the price-taking nature of agriculture, stochastic weather variables and other factors, the uncertainty faced by decision makers in agriculture is greater than and different from that confronting managers of most other sectors of economy. In this paper, game theory models have been applied to the problem of decision making under uncertainty in agriculture. The authors examine and compare the pros and cons of the four conventional theories of choice in decision making in agriculture. The four theories are: (a) Wald's maximin criterion, (b) Laplace's principle of “insufficient reason”, (c) Hurwicz's “optimism-pessimism” criterion and (d) Savage's “regret” criterion. In this study, applications have been made to the choice of type of farming, optimum dosage of fertiliser and manure and the most appropriate time of selling agricultural produce. The authors propose an additional theory of choice—the criterion of “benefit”—which seems more appropriate than the conventional theories under many situations.     

Pests and pesticides,risk and risk aversion

Theoretical and applied literature on risk in decision making for agricultural pest control is reviewed. Risk can affect pesticide decision making either because of risk aversion or because of its influence on expected profit. It is concluded that risk does not necessarily lead to increased pesticide use by individual farmers. Uncertainty about some variables, such as pest density and pest mortality, does lead to higher optimal pesticide use under risk aversion. However, uncertainty about other important variables, such as output price and yield, leads to lower optimal levels of pesticide use. Neglect of these variables in most studies has led to the false assumption that pesticides are always risk-reducing inputs. Furthermore, there is evidence that, in general, the pesticide dosage which maximises expected profit is lower under risk than under certainty. Depending on the balance of forces to increase and decrease pesticide use under risk, in many circumstances the net effect of risk on optimal decision making for pest control may be minimal. The effect on risk of information about pest density and other variables (as in integrated pest management programmes) is discussed. Evidence on this issue is mixed. A range of analytical techniques for analysing risk in pest control is reviewed. Throughout the paper, gaps in the existing literature are identified.     

Reasons for adoption of sustainable land management practices in a changing context: A mixed approach in Thailand

A farmer’s decision to adopt sustainable land management practices often takes place in a changing context. In the Northeast Region of Thailand, rural areas face a deagrarianization process and the dominant farming system – small-scale rice farming under rainfed conditions – is losing its role as the main provider of household income. The study applies a mixed approach to investigate the reasons why farmers adopt sustainable land management practices in this region. This approach involved a quantitative assessment of factors that influence adoption and a qualitative analysis of local actors’ opinions regarding these reasons. Two major reasons were identified: the engagement in diversifying production and the willingness to reduce the amount of time household members spend farming. These two reasons relate to two strategies farmers use to adapt to ongoing changes: getting involved in changing the farm or maintaining it while limiting the effort they spend running the farm. Initiatives to enhance the uptake of sustainable land management practices in the Northeast Region of Thailand would benefit from structuring the support provided taking these two strategies into account.     

To plant or not to plant—Irish farmers’ goals and values with regard to afforestation

To encourage Irish farmers to transfer land into forestry, a premium scheme supporting farmers who afforest was implemented in 1989 and afforestation targets outlined in 1996. In the period from 1996 to 2006, however, only half of the targeted area was planted in Ireland. As the income of many farmers would improve when joining the scheme, a number of studies have been conducted to find out why the response was not as expected. However, to date the phenomenon has not been explained. Amongst the studies undertaken, a lack of qualitative approaches looking at farmers’ decision-making was identified. In order to understand farmers’ decisions regarding farm afforestation, in-depth interviews with 62 farmers in the North-West and Mid-Western regions of Ireland were conducted in winter and spring 2011. The interviews were based on the theory of farmers’ goals and values developed by Ruth Gasson in 1973 and relate specifically to their instrumental, intrinsic, social and expressive values about farming. The results of this study show that farmers exhibit complex, multiple and sometimes contradictory values in relation to farming. The biggest group in the study were guided by intrinsic values when it comes to farm afforestation. Their decision not to plant is made based on their values and beliefs about farming, e.g. that it is a shame to plant land used for food production, even if this returns a greater profit. A much smaller group were directed by profit maximisation when it comes to afforesting land. These farmers would plant if the financial incentives for forestry were more attractive, e.g. if the premiums available for afforestation were higher or if the outlook for agricultural profits was not as good as anticipated.     

Incentive Perception in Livestock Disease Control

The economic incentives facing people making decisions about infectious disease control have been given due theoretical consideration in the literature, based on principles of economic rationality. Such deductive models provide important tools for generating hypotheses. However, the application of such models in a predictive capacity has been criticised. Simultaneously, empirical studies aimed at quantitative exploration of farmer behaviour have relied heavily on social cognitive models, such as the theory of planned behaviour, without exploration of the epidemiological consequences of variability in behaviour within populations. Advances in other social sciences have revealed systematic biases in human reasoning which cast doubt on the validity of the rational economic model as a generalisation of human decision making. We review the characteristics of infectious disease and disease‐control interventions and the potential for bias in implementation decision making at primary producer level. Specific focus is given to the generation of externalities, both positive and negative; the perception of risk, relating to disease incidence, technology adoption and time preference; and finally uncertainty, and its potential to be moderated by trust in information sources. This information is then used to summarise supplemental psychological constructs which taken holistically may strengthen our ability to quantitatively explore human behaviour in this complex decision‐making environment.