Coexistence of GM and non-GM crops with endogenously determined separation

The possibility that genetically modified (GM) crops may contaminate non-GM crops through pollen-mediated gene flow presents a challenge to coexistence of GM agriculture with conventional and organic farming systems. In this paper an analytical model of coexistence is developed that allows for endogenous derivation of efficient widths and allocation of pollen barriers to limit contamination of non-GM crops. To reflect the uncertainty that surrounds pollen dispersal mechanisms the model contains a stochastic contamination function and safety rule decision mechanism, constraining the level of contamination to remain below a tolerated adventitious presence with a given probability. Two policies are considered and their performance is tested: the tolerance level of adventitious presence, and the allocation of responsibility for implementing coexistence measures to either GM or non-GM farmers. The relative size of GM rents (the value of productivity gains and the non-pecuniary benefits from GM crops), rents for identity preserved non-GM crops (price premiums realised over the GM crop price), characteristics of farms, and possible variation in agricultural landscapes are also taken into account. The findings indicate that conventional adventitious presence tolerances can be met without ex ante mandating large widths of pollen barriers. At the policy level, the findings of this paper are relevant for setting region-specific pollen barriers widths, and/or for establishing institutions that facilitate cooperative coexistence.     

Regulating coexistence in Europe: Beware of the domino-effect!

In the literature spatial coexistence of genetically modified (GM) and non-GM crops is often regarded as a technical challenge, depending on spatial pollen dispersal and cross-pollination, temporal and spatial distribution and interaction of crops, separation distances and practical measures, but the interaction between economic incentives and costs of coexistence is poorly studied. Europe is currently struggling to implement coherent coexistence regulations in all EU Member States. Since the publication of the European Commission's guidelines in 2003, some Member States have developed, and others are still developing, a diversity of ex ante regulations and ex post liability rules on the coexistence of GM and non-GM crops. In this article, our attention is drawn to ex ante regulations. More specifically, we polarize two alternative ways of regulating spatial coexistence, i.e. rigid minimum distance rules, imposed on GM crop production, versus flexible segregation measures such as buffer zones, leaving more freedom of negotiation between neighboring farmers. We conduct simulations with the software ArcView® on a GIS dataset of a hypothetical case of GM herbicide tolerant oilseed rape cultivation in Central France. Our findings show that rigid coexistence rules, such as large distance requirements, may impose a severe burden on GM crop production in Europe. These rules are not proportional to the farmers' basic economic incentives for coexistence and hence not consistent with the objectives of the European Commission. More alarming, we show that in densely planted areas a domino-effect may occur, a theoretical possibility ignored in the literature. This effect raises coexistence costs and even adds to the non-proportionality of rigid coexistence regulations. Instead, we show that flexible measures would be preferable since they are proportional to the economic incentives for coexistence and, hence, less counterproductive for European agriculture.     

Contribution of wetland agriculture to farmers' livelihood in Rwanda

This study analyzes factors that contribute to the livelihood of smallholder farmers living in the vicinity of the Cyabayaga and Rugeramigozi wetlands. Three tools were used: 1) focus group discussion 2) formal surveys and 3) Monitoring for Quality Improvement (MONQI). Farming systems in wetlands and on hillsides differ. Level of education, resource availability, land ownership and location have an important impact on the location and type of farming systems practiced by households. The dependency of households on wetlands varies between sites. Field size, status of soil fertility and input use are also key factors determining the level of contribution that wetland agriculture makes to farmers' livelihood. In Cyabayaga, the per household per year contribution of wetland cultivation to gross margin (GM) was 74% ($1901) compared to 24% ($84) in Rugeramigozi. The rice in Cyabayaga was the largest contributor to household income providing on average $1045 per household per season. Vegetables cultivated in the dry season in Rugeramigozi have high potential as cash crops. Poor maintenance of drainage and irrigation channels as well as inappropriate cropping systems in wetlands can undermine sustainability and have repercussions for the livelihoods of farmers dependent on agricultural wetlands.     

中国情境下的农民创业研究综述与展望

传统的农民特征与时代发展背景、中国特色情境相互交织,为农民创业带来机遇与挑战,也为农民创业研究带来新的主题.基于国内核心期刊的农民创业研究成果,分析了中国农民的特征及中国情境导致的农民差异,梳理近20年来国内农民创业研究所关注的主流问题.基于前因-过程-结果逻辑,提出了中国特色农民创业研究框架,指出了中国农民创业研究的研究热点和主流问题.在此基础上,对中国农民创业研究的未来方向做了展望.     

数字鸿沟背景下小农户信息赋能过程机理与实现路径——基于数字包容理论的多案例研究

数字经济的高速发展，使小农户因自身禀赋劣势面对新一轮对信息、网络技术的占有和应用程度的“知识分隔”时边缘化程度加深，造成的“数字鸿沟”更日益影响稳定脱贫成效，如何利用信息技术赋能小农户弥合其与“信息富有者”间的“纵向数字鸿沟”已成为亟待解决的重要课题。通过田野调查，提出了面向稳定脱贫的小农户分类模型，利用该模型选取多个案例，结合数字包容理论剖析和挖掘了信息赋能小农户实现数字包容背后的过程机理并探讨如何借助信息技术赋能小农户、培育数字农民、建设数字乡村的途径。研究发现，信息赋能小农户的过程主要分为信息意识萌发、信息技能掌握、信息成效变现三个阶段。信息意识萌发阶段，应着力唤醒小农户信息使用意愿及主动性；信息技能掌握阶段，要开辟多种渠道增加获取信息使用技能的机会；信息成效变现阶段，要通过广泛参与发挥信息效能。三个阶段应采用不同策略进行信息赋能，才能弥合数字鸿沟，实现数字包容，促进稳定脱贫与共同富裕。     

Modeling farmer participation in agri-environmental nitrate pollution reducing schemes

Why do farmers choose to participate in agri-environmental programmes and how do they choose the amount of land they allocate to such programmes? This paper examines the determinant factors influencing farmers' adoption of the EU-financed agri-environmental Nitrate Reduction Programme (NRP) in Greece and the extent of the programme's adoption, in terms of land allocation. The decision to adopt the NRP is modeled as a two-step procedure. First, farmers decide whether to participate in the agri-environmental programme and second, the extent of participation is determined. We employ Heckman's self-selection bias correction model to derive unbiased estimates. Based on farm level data, we develop the profile of farmers who choose to adopt the agri-environmental programme and the characteristics of their farms. The results of the analysis provide valuable policy insights decomposed into the main factors determining first, the adoption of the agri-environmental programme and second, the extent of adoption. By decomposing the determining factors, policy makers can employ this information to design effective agri-environmental programmes, desirable to farmers and more targeted towards specific environmental and agricultural development goals.     

Reducing farmers' poverty vulnerability in China: The role of digital financial inclusion

This paper applies exogenous shocks to investigate the impact of digital financial inclusion (DFI) on farmers' poverty vulnerability in China. We find that farmers in highly developed DFI areas are less vulnerable to the poverty trap. The result is robust to various checks, including propensity score matching and difference-in-differences method and the instrumental variable approach. Moreover, we find that income diversification is the possible economic channel through which DFI affects farmers' poverty vulnerability. Further analyses show that DFI has a “targeting” effect on those who are poor and vulnerable, and a synergistic effect by working with medical insurance and informal finance in terms of reducing farmers' poverty vulnerability. Our research findings provide new theoretical insights and useful guidance in enhancing financial inclusiveness and sustainable development in the post-COVID-19 era.     

The Optimal Time to License a Biotech "Lemon"

Genetically modified (GM) wheat is an example of an irreversible technology that will cause environmental and market externalities. The optimal time to license this irreversible technology is examined using real options theory. Given the likely spread of the GM wheat genetics in the environment, the decision to license and adopt GM wheat will increase future herbicide costs for both adopters and nonadopters. Also, without the ability to segregate GM and non-GM varieties, the market price of wheat is reduced for all producers. This creates a licensing dilemma due to the "lemon" characteristics of the new technology. (JEL Q18 , D62 )     

An economic analysis of the possibility of reducing pesticides in French field crops

The paper aims to study the effects of reducing pesticide use by farmers in the arable sector in France and the feasibility of a policy target of reducing pesticide use by half. The originality of the approach is to combine statistical data and expert knowledge to describe low-input alternative techniques at the national level. These data are used in a mathematical programming model to simulate the effect on land use, production and farmers' income of achieving different levels of pesticide reduction. The results show that reducing pesticide use by 30% could be possible without reducing farmers' income. We also estimate the levels of tax on pesticides necessary to achieve different levels of reduction of pesticide use and the effect of an incentive mechanism combining a pesticide tax with subsidies for low-input techniques.     

Intermediaries,transport costs and interlinked transactions

Farmers in developing countries often encounter difficulties selling their products on local markets. Inadequate transport infrastructure in rural areas and large distances between areas of production and consumption mean that farmers find it costly to bring their produce to the market and this very often results in small net margins and poverty among farmers who are geographically isolated. Agriculture in developing countries is characterized by the presence of intermediaries that have a cost advantage over farmers. Because of their market power, these intermediaries are able to impose interlinked contracts and are free to choose the spatial pricing policy they use. In this paper, we develop a model of input–output interlinked contracts between an intermediary and geographically dispersed farmers. We establish when the intermediary uses either uniform or mill pricing policies, as opposed to spatial discriminatory pricing. For each pricing policy, we analyze what the welfare implications are in terms of an increase in farmers' income and a reduction in poverty in rural areas. We also establish how the choice of a spatial pricing policy impacts geographically isolated farmers and how it influences the participation by farmers.     

Hand pollination,mass spraying,and hybrid seedlings: Do these technologies affect the welfare of smallholder cocoa farmers in Ghana?

Adoption of cocoa production technologies has the potential to improve productivity and welfare of smallholder producers in low-income countries. While studies investigating synergies in agricultural technologies are growing, empirical evidence on the determinants and impacts of adopting multiple cocoa production technologies on smallholder farmers' welfare is scarce. Therefore, this study contributes by analyzing the determinants and effects of adoption of multiple cocoa production technologies on the welfare of smallholder farmers in Ghana. To achieve this, we used the multinomial endogenous switching regression and multivalued inverse probability regression adjustment models to a random sample of 2233 cocoa farmers from Ghana. The results show that various socioeconomic characteristics (e.g., farmer's age and experience), resource constraints (e.g., land ownership and credit access), market-related factors (e.g., distance to the market), and production shocks (e.g., rainfall) influence the adoption of multiple cocoa production technologies. Furthermore, the results reveal that adopting multiple production technologies significantly improves cocoa yields, gross income, per capita consumption expenditure, and reduces household food insecurity. Therefore, policies, such as financial support, need to be aimed at improving and strengthening smallholder cocoa producers' capacity to adopt synergistic conventional and non-conventional cocoa production technologies to maximize smallholder farmers' welfare.     

Building smallholder farmers' capacity to adopt climate-smart agricultural practices in flood prone areas: Lessons from Bangladesh

Currently, there is an increased interest in promoting climate-smart agricultural practices (CSAPs) around the globe, however, application of these practices may vary for different climate risk hotspots. Although, climate field schools (CFS) are conducted with the aim of empowering farmers with knowledge on the various agricultural practices, little attention has been devoted to building the capacity of smallholder farmers to facilitate adoption of appropriate CSAPs. Given the effects of climate change on agriculture, it is fundamental for agricultural sustainability to answer the question that has hardly benefited from empirical analysis in previous land use studies, which is: Do CFS build farmers' capacity to adopt CSA in flood prone areas? Cross-sectional data from 600 rural farm households in south Bangladesh is used and the recursive bivariate probit (RBP) is applied to address this knowledge gap. The results reveal that participation in CFS increases the probability of a farmer's soil salinity consciousness by 25% and eventually improves the probability to adopt climate-smart agricultural practices by 20%. We also analyzed the spillover effects of CFS participation on CSA adoption and found that there is a strong spillover effect which has important implications on the cost effectiveness and sustainability of the program. Overall, the study provides empirical evidence demonstrating that participatory approaches stimulate adoption of appropriate CSAPs by building farmers' capacity in recognizing the existing climate risk hotspots.     

Biological conservation in dynamic agricultural landscapes: Effectiveness of public policies and trade-offs with agricultural production

Land use change and land management intensification are major drivers of biodiversity loss, especially in agricultural landscapes, that cover a large and increasing share of the world's surface. Incentive-based agri-environmental policies are designed to influence farmers' land-use decisions in order to mitigate environmental degradation. This paper evaluates the effectiveness of agri-environmental schemes for biological conservation in a dynamic agricultural landscape under economic uncertainty. We develop a dynamic ecological economic model of agricultural land-use and spatially explicit population dynamics. We then relate policies (subsidies to grassland, taxation of agricultural intensity) to the ecological outcome (probability of persistence of a species of interest). We also analyze the associated trade-offs between agricultural production (in value) and biological conservation (in probability of persistence) at the landscape scale.     

The spatial impact of genetically modified crops

Although genetically modified (GM) organisms have attracted a great deal of public attention, analysis of their economic impacts has been less common. It is, perhaps, spatial externalities where the divergence between efficient and unregulated outcomes is potentially largest, because the presence of transgenic crops may eliminate or severely reduce the planting of organic varieties and other crops where some consumers have a preference for non-GM crops. This paper constructs a simple model of the possible spatial external effects of the introduction of transgenic varieties and considers some of the public policy options for regulating the divergence between market outcomes and the efficient allocation of resources to GM crops. It is shown that co-existence may be impossible without strong regulation on planting patterns.     

An introduction to rural and agricultural development in the digital age

This special issue contributes to the development economics literature by highlighting the role of information communication and technologies (ICTs) in supporting rural and agricultural development. It is comprised of nine papers. Key findings from this special issue include: (1) internet use increases rural consumption diversity and agricultural productivity; (2) smartphone use empowers rural women in household decision-making and off-farm work participation; (3) smartphone-based agricultural extension services boost rural income growth; (4) a lack of ICT infrastructure and inadequate skills to use digital technologies are two key factors that lead to digital poverty traps for smallholder rural farmers; (5) ICT adoption increases the probability of rural households' access to credit and empowers rural women and farm households in relatively less developed regions to access credit; (6) digital financial inclusion reduces farmers' vulnerability to poverty; and (7) e-commerce adoption increases both sales prices and marketing costs, but the magnitude of increasing the former is higher than the magnitude of increasing the latter, which finally contributes to a higher gross return. This special issue also proposes practical instruments and implications for advancing the application of ICTs in rural areas to accelerate rural and agricultural development in the digital age.     

An analysis of production efficiency differentials in the Philippines

In the late seventies and early eighties, policy makers in many developing encouraged extensive research to develop appropriate rice technology for unfavourable rainfed environments. The question addressed in this paper is whether the farmers producing under the non-irrigated rainfed environments are achieving the potential of the technology fully at the farm level. The empirical analysis which concerns the farm-level production behaviour of rainfed rice farmers in the Philippines indicates a wide variation in production efficiencies. Extension advice and credit availability appear to be the two major factors influencing the gap between farmers' actual and potential production levels.     

Technical coefficients for bio-economic farm household models: a meta-modelling approach with applications for Southern Mali

In recent years, different types of bio-economic models have been developed to support the analysis of the potential impact of agrarian policies on changes in land use, sustainable resource management and farmers' welfare. Most bio-economic models rely on series of discrete input–output coefficients for current and improved cropping and livestock activities, whereas mathematical programming procedures are usually applied to analyse optimum allocative choice. Adequate procedures for the smooth integration of biophysical information into economic decision models are, however, not readily available. This article provides a new and comprehensive framework for the incorporation of technical input–output coefficients derived from agroecological simulation approaches into bio-economic farm household models. Therefore, continuous production functions are estimated for the production side of the farm household model, making use of meta-modelling principles. It is shown that meta-modelling offers considerable scope for improving the specification and behaviour of bio-economic farm household models. This procedure is applied in a farm household model developed for the analysis of farmers’ response to agrarian policies in Southern Mali. Results are presented for the behaviour of a typical household, focusing attention on the trade-offs between farm income and soil nutrient balances under free market conditions and with constraints on labour, capital and animal traction markets. The stability and robustness of the model is analysed through a simulation of the impact of higher input costs for land use and fertiliser applications.     

Designing a payments for ecosystem services (PES) program to reduce deforestation in Tanzania: An assessment of payment approaches

Payments for ecosystem services (PES) programs aim to improve environmental outcomes by providing direct incentives to land managers for the provision of ecosystem services. Participation in PES programs is voluntary, so effective program design requires careful consideration of farmers' preferences. This study quantifies such preferences using a choice experiment. The study site is the East Usambara Mountains, Tanzania, an internationally recognized ‘biodiversity hotspot.’ We assess preferences for four payment approaches: constant and variable annual cash payments to individual farmers, a constant annual cash payment to a village fund on behalf of farmers, and an upfront manure fertilizer payment. We find that the manure fertilizer payment was statistically significant in motivating farmer participation while the group payment was non-significant. In addition, the relationship between the likelihood of participation and the stringency of conditionality is surprisingly non-linear. In a test of external validity, average willingness to accept (WTA) values are found to be similar to the average opportunity cost of maintaining land uses consistent with conservation objectives.     

Mecro‐Economic Voting: Local Information and Micro‐Perceptions of the Macro‐Economy

We develop an incomplete information theory of economic voting, where voters' information about macro‐economic performance is determined by the economic conditions of people similar to themselves. We test our theory using both cross‐sectional and time‐series survey data. A novel survey instrument that asks respondents their numerical assessment of the unemployment rate confirms that individuals' economic information responds to the economic conditions of people similar to themselves. Furthermore, these assessments are correlated with individuals' vote choices. We also show in time‐series data that state unemployment robustly correlates with evaluations of national economic conditions, and presidential support.     

Impacts of Institutional Intervention on Price Transmissions: The Case of the Ethiopian Commodity Exchange

In the aftermath of the market liberalization reforms, interventions in developing countries shifted toward building institutions. One of such interventions is the introduction of commodity exchanges. The theoretical justification is that commoditization reduces the high transaction costs associated with the information and enforcement problems characterizing agricultural markets of these countries. However it is not known whether these potential gains are transmitted to the various markets along a value chain. By taking the Ethiopian Commodity Exchange (ECX) as a case, this paper examines the impacts of the introduction of the commodity exchange in transmitting price signals along the coffee value chain (world‐export‐auction‐producer prices). We found that both the speed and symmetry of transmission remains weak even after the launch of ECX. At each level, the market chain was found to favor buyers. This implies that not only the country's gains from export are sub‐optimal, the cumulative burden is on the millions of smallholder farmers who are located at the bottom of the chain. In a context where local agricultural markets remain traditional and export markets barely competitive, the introduction of the commodity exchange will have limited impacts in improving the performance of markets in transmitting price signals. Other policy measures to further liberalize both local and export markets are required.