The roles of public sector versus private sector in R&D and technology generation: the case of maize in Asia

This paper reports the findings of a study whose objectives were to compare and contrast the public and private sectors in Asia in terms of their (1) estimated level of investment in maize breeding research; (2) germplasm outputs; and (3) nature and extent of roles played in the maize seed industry. Since the 1960s, yield gains, rather than area expansion, have fuelled increases in maize production in Asia. Yield gains, in turn, have been due to the shift in maize cultivation from mostly open‐pollinated varieties (OPVs) to mostly hybrids. This transition also shifted the locus of modern maize breeding research from government research organisations to private national and multinational seed companies. In countries where both the public and private sectors participated in maize research, private sector research investment far exceeded that of the public sector. With more aggressive marketing programmes, the private sector captured 89% of the Asian maize seed market in the late 1990s. National public seed research agencies (including universities and cooperatives) developed and produced more maize OPVs than hybrids, mass‐produced and distributed seed cheaply, addressed location‐specific production problems, and provided agricultural extension services. The private seed companies developed, produced, sold and promoted their own proprietary hybrids. The reluctance of the private sector, however, to address the needs of marginal maize farmers should encourage the public sector to continue playing an active role in maize research and development (R&D), seed production and modern maize technology dissemination, especially with adequate support from appropriate government policies.     

The Impact of Seed Policy Reforms and Intellectual Property Rights on Crop Productivity in India

The growth of private investment in developing‐country agriculture, new advances in the biological sciences, and rapid integration of developing countries into the global trading system has heightened interest in the topic of seed market and intellectual property rights’ (IPRs) policies among public policy‐makers, corporate decision‐makers and other actors in the agricultural sector. But there are still unanswered questions about whether emerging and evolving seed policy reforms and IPR regimes in developing countries will contribute to increasing crop productivity and improving food security. This paper attempts to answer some of these questions by focusing specifically on the case of India, the regional leader in implementing seed policy reforms and IPRs in agriculture. Findings indicate that maize and pearl millet yields grew significantly during the last two decades due partly to the combination of (1) public policies that encouraged private investment in India’s seed industry during the 1980s, and (2) biological IPRs conferred by hybridisation that conveniently married the private sector’s need for appropriability with the nation’s need for productivity growth. Although past lessons are not an indication of future success, this convergence of policy solutions and technology opportunities can be replicated for other crops that are vital to India’s food security.     

The impact of social networks on hybrid seed adoption in India

This article adds to the literature about the impact of social networks on the adoption of modern seed technologies among smallholder farmers in developing countries. The analysis centers on the adoption of hybrid wheat and hybrid pearl millet in India. In the local context, both crops are cultivated mainly on a subsistence basis, and they provide examples of hybrid technologies at very different diffusion stages: while hybrid wheat was commercialized in India only in 2001, hybrid pearl millet was launched in 1965. The analysis is based on surveys of wheat and millet farmers in the state of Maharashtra. Comprehensive data on farmer characteristics and social interactions allow for identifying individual networks, thereby improving upon previous research approaches that employed village-level variables as proxies for network effects. Using econometric models, we find that individual social networks play an important role for technology adoption decisions. While village-level variables may be used as suitable proxies at later diffusion stages, they tend to underestimate the role of individual networks during early phases of adoption.     

Oil Palm Expansion among Smallholder Farmers in Sumatra,Indonesia

Many tropical regions are experiencing a rapid growth of oil palm cultivation. In Indonesia, the world's leading palm oil producer, in addition to large companies, smallholder farmers are increasingly engaged in the oil palm sector. Smallholder oil palm cultivation may contribute to income gains and socio‐economic development. However, land‐use decisions by smallholders are not well understood. Without appropriate policies, negative social and environmental consequences can also occur. To improve the knowledge base, we use data about present and past land‐use decisions from a survey of farm households in Sumatra. Employing duration models, we analyse the determinants and dynamics of oil palm adoption among smallholders. We find that independently operating farmers are currently driving growth rates in the oil palm sector. Smallholder adoption decisions are mainly attributable to regional and village level factors. While the current adoption primarily occurs outside of contracts, previous contractual ties between companies and other farmers in the same village play an important role for individual decisions. Beyond initial adoption, we also analyse later expansion decisions. While expanding the oil palm area subsequent to initial adoption is common among all types of adopters, those without previous contracts are found to expand significantly faster. We conclude that the concessions the government has allocated to palm oil companies in the past have initiated oil palm adoption in the small farm sector, but that the ensuing land‐use dynamics are mostly beyond government control. Some wider implications are discussed.     

Does agricultural extension pay?

Compared to studies evaluating the benefits from agricultural research, there are relatively few empirical studies of the net economic benefits of agricultural extension, and even fewer that consider both public and private sector extension effort. In this study we examine regional differences in the adoption of lupins in Western Australia (WA) in order to estimate the net economic benefits of public and private sector extension. Impacts of extension and other variables on adoption were analysed for 40 shires using multivariate regression analysis. The results suggest that both public and private extension activities influenced farmer uptake of lupins, particularly by bringing forward the start time of the diffusion curve. Economic benefits of extension, based on the statistical analysis, were combined with costs of extension estimated from public sector records and surveys of private sector extension agents and used to estimate the net present value of extension investments by the public and private sectors in the study area.     

New evidence regarding the effects of contract farming on agricultural labor use

Contractual agreements between smallholder farmers and agribusiness companies have gained in importance in many developing countries. While productivity and income effects of contracting in the small farm sector were analyzed in many previous studies, labor market and employment effects are not yet well understood. This is an important research gap, especially against the background of continued population growth and structural transformation. Here, we investigate the effects of two types of contractual agreements between large international processing companies and smallholder farmers on agricultural labor use, household labor allocation, and hired labor demand in Ghana's palm oil sector. We use cross‐sectional survey data and a willingness‐to‐pay approach to control for unobserved heterogeneity between farmers with and without contracts. We find that agricultural labor intensity is substantially reduced through the contracts, because contracting in Ghana is associated with the adoption of labor‐saving procedures and technologies. Simple marketing contracts lead to reallocation of the saved household labor to off‐farm employment, whereas resource‐providing contracts lead to a stronger reallocation of labor within the farming enterprise. Household labor is more affected by labor savings than hired labor.     

Adoption and diffusion of improved technologies and production practices in agriculture: Insights from a donor-led intervention in Nepal

Adoptions of improved technologies and production practices are important drivers of agricultural development in low-income countries like Nepal. Adopting a broad class of such technologies and practices is often critical for meeting the multifaceted goals of efficiency, profitability, environmental sustainability, and climate resilience. This study aims to address the knowledge gaps that still exist concerning what determines the adoption of improved technologies and production practices, the factors affecting their diffusion, the impact of interventions on productivity and crops grown, and the variability of impact within a particular country context. In this paper we address these questions using data collected as part of the USAID-led Knowledge-Based Integrated Sustainable Agriculture in Nepal (KISAN) project. We adopted a multistage sampling technique and surveyed 988 beneficiary households and 997 non-beneficiary households in KISAN intervention districts and non-intervention districts. Our findings suggest that, in Nepal, adoption of improved technologies and practices is significantly increased by improved access to markets, private sector involvement in selling improved seeds and disseminating information, membership in progressive farmers groups and cooperative societies, participation in agricultural training and farm visits, provision of subsidies for seeds, and access to credit. We also found the probability of the adoption of improved practices to be affected by farmers’ sources of information; for instance, the adoption of improved practices was increased when farmers obtained information from informal sources, cooperatives/farmers organizations, and public and private extension programs. The effects of KISAN projects vary significantly across the different crops grown, based on the evaluation models that address self-selection of both project participation and crop choices. These implications may also apply to other parts of the world facing similar challenges as Nepal, where limited market access, insufficient knowledge and resource capacity of farmers constrain their adoption of improved technologies and practices in agriculture.     

The role of systems thinking in cover crop adoption: Implications for conservation communication

To address critical water quality problems, significant public and private sector resources in the U.S. have been directed to promoting and supporting the adoption of conservation practices. Cover crops, in particular, have been a focus of outreach and policy efforts due to their multiple benefits for crop production, carbon sequestration, soil health, and water quality. We hypothesize that Indiana’s state and local agencies have emphasized a systems approach to conservation planning and farm management, which has been successful in reaching a subset of farmers and has established Indiana as a national leader in cover crop adoption. We contend that the systems approach to conservation adoption is not a salient message to farmers who have yet to implement conservation, thus adoption (particularly cover crops) may be stagnant. Early work on systems thinking (ST) in conservation is dominated by qualitative research. Here, we make a first attempt to quantify the relationship between ST and cover crop adoption through producer surveys administered in three Indiana watersheds – St Marys, Big Pine, and Upper White. We found that farmers who adopted cover crops were more likely to be systems thinkers than farmers who had not adopted cover crops. These results have significant implications for conservation planners and educators across the U.S. and internationally who are working to implement additional conservation acreage – a whole farm systems approach to conservation messaging may not be an effective method for farmers who have yet to implement conservation.     

Integrating Technology Traits and Producer Heterogeneity: A Mixed-Multinomial Model of Genetically Modified Corn Adoption

This article proposes a model of technology adoption that integrates demand for individual traits of new technologies with the potential for heterogeneity based on farm and farmer characteristics. The model is applied to recent genetically modified corn adoption data from Minnesota and Wisconsin farmers, using a mixed-multinomial logit (MMNL) model to estimate the effects of traits and farm and farmer characteristics on adoption outcomes. This approach allows explicit recovery of estimates of farmers' shadow prices for individual technology traits. Results show the importance of producer and regional heterogeneity in preferences for seed traits.     

Tradeoffs and complementarities in the adoption of improved seeds,fertilizer, and natural resource management technologies in Kenya

There is widespread consensus that agricultural technology has an important role to play for poverty reduction and sustainable development. There is no consensus, however, about the types of technologies that are best suited for smallholder farmers in Africa. While some consider natural resource management (NRM) technologies as most appropriate, others propagate input intensification with a stronger role of the private sector. In the public debate, these two strategies are often perceived as incompatible. Environmental non‐governmental organizations in particular consider low‐external input strategies as the only sustainable form of agriculture, a view that has considerable influence on policymakers and the international donor community. Most existing research studies on smallholder innovation focus on the adoption of individual technologies, so that comparisons between different types of technologies in the same context are not easily possible. We use representative data from maize‐producing households in Kenya and a multivariate probit model to analyze the adoption of different types of technologies simultaneously. Results indicate that NRM technologies and strategies that build on external inputs are not incompatible. Interesting complementarities exist, which are not yet sufficiently exploited because many organizations promote either one type of technology or the other, but rarely a combination of both.     

Quantifying the Contribution of Plant Breeders'Rights and Transgenic Varieties to Canola Yields: Evidence from Manitoba

Canola yield functions that account for plant breeders'rights, changes in technology, measures of varietal diversity and environmental conditions are estimated for the province of Manitoba for the period 1995–2001. Various measures are employed to estimate the effect of plant breeders'rights (PBR) on canola yields. Panel data models, which allow for differences in behavior over cross-sectional units at the same point in time as well as differences in behavior over time for a given cross-sectional unit, are used for the analysis. The performance of canola yield response functions are superior with random effects models. The adoption of transgenic varieties and varieties qualifying for PBR are positively associated with increasing yields. The policy implication of this study is that a greater commitment of public funds to fundamental research may be necessary to complement the applied research that private companies are undertaking in producing finished varieties.     

Measuring Farm and Market Level Economic Impacts of Improved Maize Production Technologies in Ethiopia: Evidence from Panel Data

While it is often recognised that agricultural technology adoption decisions are intertwined and best characterised by multivariate models, typical approaches to examining adoption and impacts of agricultural technology have focused on single technology adoption choice and ignored interdependence among technologies. We examine farm‐ and market‐level impacts of multiple technology adoption choices using comprehensive household survey data collected in 2010/11 and 2012/13 in Ethiopia. Economic surplus analysis combined with panel data switching endogenous regression models are used to compute the supply shift parameter (K‐shift parameter), while at the same time controlling for the endogeneity inherent in agricultural technology adoption among farmers. We find that our improved technology set choices have significant impacts on farm‐level maize yield and maize production costs, where the greatest effect appears to be generated when various technologies are combined. The change in maize yield and production costs results in an average 26.4% cost reduction per kilogram of maize output (the K‐shift parameter). This increases the producer and consumer surpluses by US$ 140 and US$ 105 million per annum, respectively. These changes in economic surplus help to reduce the number of poor people by an estimated 788 thousand per year. We conclude that deliberate extension efforts and other policies that encourage integration of technologies are important for maize technologies to yield their full potential at both farm and market levels.     

Structural and productivity change in US agriculture, 1950–1982

This paper tests whether structural change in US agriculture is an important channel to TFP growth and evaluates the relative impact of (i) public research and education policies, (ii) private R&D and market forces, and (iii) government farm programs on structural change. We specify a structural econometric model, fit it to US state aggregate data, 1953–1982, and use the associated reduced‐form model to perform counter‐factual policy simulations. The findings include: structural change is a channel to TFP growth in both crop and livestock subsector, i.e. specialization, size, and part‐time farming do impact TFP, holding other variables constant. Public R&D and education have been at least as important as private R&D and market forces for changing livestock specialization, farm size, and farmers’ off‐farm work participation over the study period, but private R&D and market forces have been relatively more important for crop specialization. Changes in farm commodity programs had little impact on farm structure over these study period. Overall, we conclude that if public R&D and education policies had been unchanged at their 1950 values over 1950–1982, major structural changes in US agriculture would have occurred anyway. The forces of private R&D and market forces were at work, including a decline in the price of machinery services and agricultural chemicals, relative to the farm wage.     

Potential impacts of Bt eggplant on economic surplus and farmers' health in India

In this article, the potential impacts of Bt eggplant technology in Indian agriculture are analyzed. Several proprietary Bt hybrids are likely to be commercialized in the near future. Based on field trial data, it is shown that the technology can significantly reduce insecticide applications and increase effective yields. Comprehensive farm-survey data are used to project farm-level effects and future adoption rates. Simulations show that the aggregate economic surplus gains of Bt hybrids could be around US$108 million per year. Consumers will capture a large share of these gains, but farmers and the innovating company will benefit too. As the company has also shared its technology with the public sector, Bt open-pollinated varieties might become available with a certain time lag. This would make the technology more accessible, especially for resource-poor farmers, entailing further improvements in welfare and distribution effects. The wider implications of the private–public technology transfer are discussed. Furthermore, the potential benefits for farmers' health resulting from reduced insecticide applications are examined, using an econometric model and a cost-of-illness approach. These benefits are worth an additional $3–4 million per year, yet they constitute only a small fraction of the technology's environmental and health externalities. More research is needed for comprehensive impact analysis.     

Adoption of Agricultural E-Marketing: Application of the Theory of Planned Behavior

In this study, the authors used the theory of planned behavior (TPB) as a base model to determine how attitudes, subjective norms, and perceived behavioral control predict the intention of agricultural services professionals to adopt e-marketing of agricultural commodities. A convenient sample of 146 professionals from the public (n?=?61) and private sectors (n?=?85) were surveyed. Overall, results showed that the TPB model explained 94% and 71% of the variation in behavioral intent for public professionals and private professionals, respectively, with the remaining 6% and 29% relating to the other factors. Results for the public professionals showed that subjective norm and perceived behavioral control have a more important effect on adoption and that the effect of attitude was very small among professionals in private sector. Both groups selected the information services model as an appropriate in agricultural electronic marketing for local farmers so that agricultural services firms can offer only information services of farmers’ products without a direct role in buying and selling. Based on the results, it is recommended that to accelerate the adoption of e-marketing, its user-friendliness and advantages should be demonstrated to users via different platforms such as video presentations and workshops. In addition, the technology should be made available to potential users, and they should be encouraged and motivated to use it to ensure efficiency in the processing of transactions.     

Is public investment complementary to private investment in Indian agriculture? Evidence from NARDL approach

The issue of complementarity between public farm investment and private farm investment in Indian agriculture is an unsettled empirical question in the literature, which has not been studied adequately. Few studies analyzing the trends of both types of investments have produced contradictory results. Thus, this study attempts to bridge that gap, by examining the hypothesis of crowding‐in/crowding‐out effect of public sector investment on private investment. Time series data for a period of 45 years from 1971 to 2015 has been used. Adopting a ‘nonlinear auto‐regressive distributive lag’ (NARDL) model the study confirms a strong crowding‐in effect of public investment on private investment in short run, but relatively a weak complementarity between the two over long‐run. Moreover, the public canal intensity as a major component of public investment has been observed to have much stronger effect on private investment than the public investment itself. It is also found that private investment is constrained by its own lagged values, institutional credit and terms of trade during both short‐run and long‐run. The policy suggestion of this study calls for an immediate arrest of declining trend of public investment.     

Activists and Animal Welfare: Quality Verifications in the Canadian Pork Sector

Animal welfare is an emotive topic. Although most governments legislate against outright animal cruelty, animal welfare organisations have actively lobbied for more stringent farm animal welfare regulations. Food retailers and restaurant chains have faced pressure from animal welfare organisations to implement more stringent animal welfare requirements for their suppliers. Is the demand for more stringent farm animal welfare protocols primarily determined by a subset of consumers with very strong preferences or does it signal a more fundamental underlying change in societal preferences? Given the credence nature of farm animal welfare, whom do consumers trust for credible quality assurances? This article analyses the role of quality verification in a market characterised by consumers with heterogeneous preferences for animal welfare. Of particular interest are the relative strength of preferences for humane animal treatment assurances and the credibility of these quality claims. Using data from a Canadian survey targeted at two distinct samples – a general population group and members of animal welfare organisations – a discrete choice experiment is used to assess consumer attitudes towards animal welfare assurances for pork products. The credibility of quality verification by public sector, private sector and third party agents is assessed. Evidence confirms that consumer preferences for farm animal welfare assurance and the source of verification are indeed heterogeneous. Although a portion of consumers remain largely indifferent to pork products with animal welfare assurances, a group of highly motivated consumers exist with an economic incentive to lobby for tougher animal welfare standards.     

Economic impacts of smallholder farmers’ adoption of drought-tolerant maize varieties

Drought and high temperatures are major threats to sustainable food production and consequently the livelihoods of the majority of Africans who depend on fragile agricultural systems. As a response to these threats, climate-smart agricultural technologies, such as drought-tolerant maize (DTM) varieties, have been developed and promoted on the continent. It is well-known that the adoption of improved technologies generally impacts positively on the wellbeing of adopters. Nevertheless, the magnitude of the impact of any technology or intervention is always an empirical question. Therefore, this study sought to determine the factors that influence the adoption of DTM and subsequently estimate how yield, commercialization intensity, and farm income are affected by adoption. To establish causation, we relied on observations from 200 farm households in the Northern Region of Ghana and estimated an instrumental variable regression. Consistent with findings reported in the literature, we found that DTM adoption is primarily driven by access to seed, extension service, labor availability, and location of farm households. In addition, we found that DTM adoption positively impacts on yield and commercialization intensity. The magnitude of impact is not trivial. For example, the yield of farm households increased by more than 150% (936 kg/ha) following DTM adoption. These results imply that policy-makers and development practitioners must support research and promotion of climate-smart agriculture to improve adoption and welfare indicators, such as yield and commercialization.     

Adoption of improved chickpea varieties: KRIBHCO experience in tribal region of Gujarat, India

The study aims to track adoption of improved chickpea varieties, and assess their on‐farm benefits in some remote and backward tribal villages in Gujarat, India, where few newly developed varieties were introduced by a non‐government organization. It also determines key factors which were influencing their adoption. The study found that adoption of improved chickpea varieties was gradually increasing by replacing a prominent local variety. Duration of crop maturity, farm size, yield risk, and farmers' experience of growing chickpea crop were significantly influencing their adoption. The on‐farm benefits as a result of improved varieties were realized in terms of increased yield levels, higher income and labor productivity, more marketable surplus, price premium and stabilized yields in fluctuating weather. Breeding short duration varieties with stable yield levels under varying weather, and organizing seed multiplication and dissemination in regions, where moisture stress is a problem during maturity of chickpea, are the major suggestions.     

Determinants of millet diversity at the household-farm and village-community levels in the drylands of India: the role of local seed systems

This research characterizes the biological diversity of millet crops in the semiarid regions of India at the household and village‐community ( panchayat) scales of analysis, placing that evidence in the context of local seed systems. A set of seed system parameters that span formal and informal exchange and can be measured empirically are proposed. The analysis is based on data collected through sample surveys of farmers and traders in selected sites of Karnataka and Andhra Pradesh, combined with cultivar taxonomies developed with geneticists and applied to seed samples. Findings demonstrate that millet crop diversity levels at both scales of analysis are significantly influenced by seed system parameters, factors which related studies have omitted. In particular, the presence of active local (formal and informal) seed markets enhances millet richness among and within farming communities. Crop improvement strategies oriented toward local seed markets could provide important benefits and incentives to farm households living in these marginal environments. There is a need, however, for an enhanced theoretical understanding of local seed markets in analyzing crop variety choices and the diversity of materials grown in less favored environments.