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The study was conducted to assess consumers’ preference and willingness to pay for different pepper varieties in Osun State, Nigeria. The study used the major pepper types – Capsicum chinenses (Rodo), C. annum (Tatase), C. frutescens (Sombo) and C. pubescens (Bawa), being sold in the markets in Osun State, Nigeria. A multistage sampling technique was used to collect data from 100 respondents. The primary data collected were analysed using descriptive and inferential statistics. The study showed that consumers mostly preferred and were willing to pay more for C. chinenses (Rodo) than any other types of pepper. Household size, primary occupation, total household income, availability and meal-making ability of pepper were the factors that influenced consumers’ preference for the different varieties of pepper while the willingness to pay for pepper varieties by consumers was influenced by affordability, availability, taste and thickness. The study recommends that since availability and affordability influenced preference and willingness to pay for pepper varieties, policies should be aimed at increasing farmers’ production as this will ensure that pepper is readily available and affordable for consumers.

Despite the important roles of Sustainable Agricultural Practices (SAPs) in improving productivity, welfare, and food security of farming households, the adoption rates of SAPs have been perceived to be generally low, especially in developing countries. Using cross-sectional data collected from the 2015 Nigeria General Household Survey, this study examines the factors influencing the adoption of multiple SAPs, while also considering the drivers of the intensity of adoption of these practices. The methods of data analysis are based on the Multivariate probit and the Ordered probit models. The SAPs considered include improved seeds, inorganic fertilizer, mixed-cropping techniques, and organic manure. The empirical results show that farmers’ adoption of different SAPs and their intensity of use depend significantly on factors such as the age of household head, gender, education, household size, access to extension services, and household wealth status. Our findings imply that policymakers and agricultural development agencies should seek to maintain or increase household asset bases, and encourage both formal and informal training programme among farming households to facilitate the adoption of SAPs.

Research background: The threat from climate change remains a major concern especially for developing economies like Ghana. Hence, agricultural practices that are environmentally friendly and improves soil health are very necessary for building resilience. Purpose of the article: The present study investigated the determinants of conservation agricultural practices in northern Ghana as well as the effect of these practices on soil health for sustainable production. Methods: Using cross-sectional data collected by the International food policy research institute from 1284 households, a multivariate probit model was first performed to identify the determinants of conservation agricultural practices while the inverse probability weighted regression adjustment was employed to establish the effect of conservation agricultural practices on soil health. Findings & value added: Results from the multivariate probit model showed that socioeconomic and institutional factors as well as different household-specific factors, influence farmer’s decisions to engage in various conservation agricultural practices. Crop rotation, fallowing, contour ploughing or pit planting and manure application were found to have a positive effect on soil health through improved resilience to soil erosion. The study concludes that conservation agricultural practices will be useful in Ghana’s quest of achieving zero hunger since the conservation agricultural practices ensure that food is produced for the present generations without compromising the soil health for further productions. Hence, the current Ghanaian government’s flagship programme dubbed ‘planting for food and jobs’ should include conservation agriculture as a priority module in its framework so that households could both increase their output while maintaining the quality of the soil.

Vietnam faces several adverse climatic stresses such as increases in temperature, drought, flooding, saltwater intrusion, and sea-level rise. Past research on climate change adaptation in Vietnam has highlighted that climatic stresses and challenges faced by populations vary across the country. In this study, we are interested to know if autonomous responses also vary, depending on which stress individuals are responding to. To answer this question, we use primary-collected data of 1,306 individuals from the Mekong River Delta, Central Vietnam, and the Red River Delta. Adaptation choices of these individuals are analyzed at two levels: the household-level and the agricultural-level. We estimate multivariate probit models by Geweke-Hajivassilou-Keane (GHK) simulated maximum likelihood methods. Our results show that climate change adaptations vary depending on which stresses individuals are responding to. At the household level, droughts and floods have the strongest effect on climate change adaptation. However, adaptations at the agricultural level depend more on the impacts of the stress and less so on the climatic strss itself. Understanding what climatic stresses are already eliciting a response, and what adaptations are being used by individuals, is invaluable for designing successful climate change policies. This understanding can also help policymakers identify where gaps exist in individual climate change adaptations and fill these gaps with a public response.

The COVID-19 pandemic has particularly affected the supply of perishable foods such as vegetables, which could adversely affect food and nutrition security. Here, we study the mechanisms by which COVID-19 has affected vegetable production and the coping strategies adopted by smallholder farmers. We use cross-sectional data collected through individual interviews on a random sample of 521 vegetable producers in north-western Nigeria. The perceptions of respondents, measured on a 5-point Likert scale (from 1—not affected, to 5—severely affected), shows that COVID-19 had an average effect of 3.07 (±1.23) on vegetable production. Farmers also reported challenges in accessing farm inputs and storing or selling fresh vegetable produced. In response, farmers reduced market-oriented vegetable production, produced more vegetables for own consumption, added value through own home processing and storage, explored new markets, and accepted lower farmgate selling prices. A multivariate probit regression shows that socio-economic factors such as age, household size, marital status, challenges in accessing inputs, and perceptions of the effects of COVID-19 influenced farmers’ decisions to adopt particular coping strategies. To sustain vegetable supplies, policy makers should consider investing more in market-oriented strategies such as vegetable processing and storage, which individual farmers may not be able to afford due to high costs, lack of information and required knowledge on good agronomic practices, postharvest handling, storage and market. Public extension services can contribute to help farmers to adapt better.

In Ethiopia, teff is an important cereal crop, particularly in Dera district. It is a source of food and provides cash income for majority of smallholder farmers. To commercialize teff producers, selecting an appropriate market channel is mandatory. However, selecting an appropriate market channel is not an easy task because there are different factors that influence market outlet choices. Therefore, this study aimed to identify factors that influence teff market outlet choices. A two-stage random sampling procedure was used and a total of 154 smallholder farmers were randomly and proportionally selected to collect primary data. Multivariate probit model was employed to identify factors affecting teff market outlet choices. The result of the study shows that the probability of teff producers to choose wholesaler, retailer, consumer and cooperative market outlets was 31.82%, 35.71%, 37.01% and 16.88%, respectively. This shows that consumer was the most likely chosen market outlet while cooperative was the less likely chosen market outlet. The joint probability of farmers to choose the four market outlets is (0.1%) lower than the likely of no choosing four market outlets (19.5%). The result of multivariate probit model revealed that age of household head, land size, quantity of teff produced, lagged price of teff, family size (AE), membership of cooperatives and distance to the nearest market were found to be statistically and significantly affecting the market outlet choice behavior of teff producers. This implies that improving the production capacity of farmers and invests on rural cooperatives would help smallholder farmers to choose the rewarding market outlet. Therefore, the study suggested that improving the existing production system, farmers relying on intensive cultivation; giving better price for farmers and being membership of cooperative are important strategies to select the appropriate market channel.

One of the challenges of perishable vegetable production is selecting appropriate market outlets to deliver the produce fresh and earn better price. Various factors affect producers’ decision to choose among the alternative market outlets. This study was aimed to identify determinants of smallholder vegetable producers’ decision on market outlet choice and verify the existence of difference in productivity and income of households among different market outlets in Lake Tana basin, Ethiopia. Using primary data collected from a survey of 385 farmers in three districts located in Lake Tana basin, the study estimated multivariate probit model to explain the factors that influence market outlet choice of smallholder vegetable producers. F-statistics was sued to verify the effect of market outlets on productivity and income. The results show that those households choosing both farm gate and local market simultaneously are found at better level of productivity and income. Multivariate probit results show that buyers visit and age of household head simultaneously determined all market outlets decision of producers. Those households visited by buyers at farm or village were found more likely to choose farm gate and roadside market outlets and less likely to sell the produce at market place. The implication is that as far as smallholder producers had access to alternative market outlets, they would earn better income by choosing appropriate combination of market outlets. Interventions that improve access to all market outlets could improve income and boost production of vegetables.

Arable farming is an intrinsically risky enterprise. Therefore, managing risks and uncertainties in agriculture is very important as it affects all sectors of the economy of a developing country like Pakistan. To do so, a whole suite of options is available to the farming community to safeguard against any type of risk. However, farmers’ behavior of the concurrent adoption of multiple risk management tools is largely ignored in previous studies and has formed the rationale for this research. Thus, the current study is intended to investigate farmers’ decisions of adopting risk management strategies (contract farming, off-farm income diversification, and farm credit use) and to examine the impacts of a variety of factors on farmers’ risk management decisions. The present study is carried out in four districts of Punjab province, Pakistan with a focus on hybrid maize growers. A multivariate probit model is used to evaluate the impacts of independent variables on growers’ choices of adopting contract farming, off-farm income diversification, and farm credit use to manage farm risks keeping in view the potential for the concurrent adoption of these risk management strategies. Results show that 78% of farmers are risk-averse and hence ready to manage risks. The top risk faced by farmers is price risk followed by biological, climatic, and financial risks. Contract farming is the most popular strategy (61% farmers) followed by off-farm income diversification (49% farmers), and the use of farm credit (42% farmers). The findings also reveal that the decisions of adopting risk management strategies are interlinked while the adoption of one risk management tool complements farmers’ decision to adopt other risk management strategies. In addition, the risk management strategies’ adoption choices are affected by the number of factors including socioeconomic characteristics, farmers’ risk perceptions about risk sources, and their attitude towards risk. The study recommends the provision of timely information (climatic, extension) along with easy access to farm credit and the streamlining of contractual arrangements.

Shared micro-mobility services have rapidly gained popularity yet challenged city administrations to develop adequate policies while scientific insight is largely missing. From a transportation equity perspective, it is particularly important to understand user correlates, as they are the beneficiaries from public investment and reallocation of public space. This paper provides an up-to-date account of shared micro-mobility adoption and user characteristics in Zurich, Switzerland. Our results suggest that shared micro-mobility users tend to be young, university-educated males with full-time employment living in affluent households without children or cars. Shared e-scooter users, in particular, are younger, yet more representative of the general population in terms of education, full-time employment, income and gender than bike-sharing users. This suggests that shared e-scooters may contribute to transportation equity, yet their promotion should be handled with care as life-cycle emissions exceed those of bike-sharing and equity contributions might be skewed as many users are students., Transportation Research Part D: Transport and Environment, 94, ISSN:1361-9209, ISSN:1879-2340

Sustainable Agricultural Practices (SAPs) have been promoted over the years as a means of ensuring sustainable development in the agricultural sector. However, adoption has generally been low across countries. This paper explores the linkages among SAPs and adoption decisions of SAPs among smallholder maize farm households in Ghana. The study used a household-level data on 394 farmers collected by the second round of the intensification of food crops agriculture in sub-Saharan Africa (AFRINT II) in Ghana. We employed a multivariate regression model to investigate the complementarity and the substitutability among the selected elements of SAPs as well as the simultaneous determinants of the SAPs components. We found out that some elements of the SAPs are complementary, while others are substitutes. The results also suggest that access to input credit, membership of farmer-based organizations, extension contact, and formal education, as well as intercropping, lead to the adoption of SAPs. The study recommends that SAP programmes that support the application of one technology (e.g., inorganic fertilizer) must provide simultaneous support for intercropping with nitrogen-fixing plants. Also, investment in public education is crucial in boosting farmers’ knowledge of agricultural practices. Lastly, the positive and significant policy variables such as FBO suggest that focusing on strengthening community social network institutions is one other way of improving adoption decisions of SAPs.

Climate change has adversely affected the livelihoods of people in Ethiopia since a large proportion of the population is heavily dependent on agriculture as their adaptive capacities are perceived to be below. Therefore, this study aimed to identify determinants of farmer adaptation strategies with their costs and benefits of each adaptation strategy. The data were collected from 155 farm households using a random sampling method through semistructured questionnaires. The result of the multivariate probit model revealed that the likelihood of farmers to adopt adjustment of planting date, changing crop varieties, intercropping, crop rotation, irrigation, and minimum tillage were 51.6%, 61.9%, 56.1%, 38.1%, 10.3%, and 27.1%, respectively. The joint likelihood of using all adaptation strategies was 4.2%, while their failure to adopt all the adaptation strategies was 9.8%. Among the given adaptation options, intercropping, adjusting planting dates, crop rotation, and changing crop varieties are economically viable climate adaptation strategies. Regarding the intensity of adaptation, 78% of sampled respondents were used more than one adaptation option, and their NPV and BCR were higher when they used at least one adaptation option. Farmers who did not adopt any adaptation options were able to receive the lowest income per unit production. The study recommends that households should use multiple combinations of adaptation practices rather than the use of a single adaptation option. Thus, the government and stakeholders must provide educational and extension service, training, and updated climate information to smallholder crop producers to use and select the best and combination of adaptation strategies.

There are calls for better empirical models to inform climate change adaptation in smallholder agriculture. Hitherto adaptation studies have failed to comprehensively integrate non-cognitive behavioural factors (e.g. psychological capital), and there is also no common framework for measuring non-cognitive abilities of smallholder farmers. Hence, this study is the first attempt to assess how psychological capital affects climate change adaptation amongst smallholder farmers. The study estimated the multivariate probit regression model using data collected from 328 smallholder farmers in KwaZulu-Natal province, South Africa. The results show an association between some psychological capital indicators and smallholder adaptation decisions. Social networks, having multiple farming objectives, access to credit and the type of farmer (irrigators vs. non-irrigators) were also significant in determining smallholders’ adaptation decisions. In conclusion, the study recommends the need for practical ways for enhancing smallholders’ endowment with key non-cognitive abilities. There is also a need for researchers to develop a comprehensive framework for assessing non-cognitive factors critical for climate change adaptation. This will improve the use of positive psychology theories to advance the literature on climate change adaptation. Support should also be provided to communities facing higher risks of climate change adaptation. More focus should also be given to improve smallholder farmers’ ability to adapt, including access to affordable credit. The role of social networks in information sharing remains critical, and hence their promotion should be prioritised. The findings on multiple objectives in farming were unique to climate change adaptation research, and hence the indicator should be considered in future similar studies.

The determinants of agricultural extension communication channel usage depend on several factors but have not been explored in the context of emergency (Fall Armyworm outbreak) and non-emergency situations. A multistage purposive sampling technique was used to select 318 farmers, focusing on the districts and the communities with the highest reported cases of fall armyworm infestation. Descriptive statistics and a multivariate probit analysis were used in the analysis of the data. The results showed an increase in the intensity of channels’ usage in the emergency situation. It was also found that fertilizer and improved seeds were the most common extension need. Channels are found to be more complementary in the emergency case. In both situations, some factors explaining the choices of these channels varied, while others agreed. The study recommends multiple channels are made available and that time-consuming channels irrespective of their effectiveness should be avoided by extensionists in emergency situations.

Embargado hasta 18/05/2022 Agriculture is highly impacted by different sources of risk. There is a wide variety of management instruments that farmers can use to cover these risks. The objective of this paper is to analyze the explanatory variables for the simultaneous adoption of a large set of risk management instruments. The main innovation is the methodological approach: first, we apply a hierarchical cluster analysis to identify the groups of instruments whose adoption is correlated; second, we use multivariate probit models to analyze the influence of different factors on the simultaneous adoption of the instruments included in each cluster. The explanatory variables capture farmers’ socio-demographic features, risk aversion and subjective perception of past risk experience; farms’ technical-economic characteristics; and local-level climate change. The results reveal significant differences in the variables influencing the adoption of the risk management instruments. The findings can support farmers, risk management service providers, and policymakers.

This study assessed farmers&rsquo, perception of climate change, and estimated the determinants of, and evaluated the relationship among, adaptation practices using the multivariate probit model. A survey in 300 agricultural households was carried out covering 10 sample districts considering five agro-ecological zones and a vulnerability index. Four adaptation choices (change in planting date, crop variety, crop type and investment in irrigation) were deemed as outcome variables and socioeconomic, demographic, institutional, farm-level and perceptions variables were deployed as explanatory variables. Their marginal effects were determined for three climatic variables&mdash, temperature, precipitation and drought. Age, gender and education of head of household, credit access, farm area, rain-fed farming and tenure, were found to be more influential compared to other factors. All four adaptation options were found to be complimentary to each other. Importantly, the intensity of the impact of dependent variables in different models, and for the available adaptation options, were found to be unequal. Therefore, policy options and support facilities should be devised according to climatic variables and adaptation options to achieve superior results.

Sustainable intensification practices (SIPs) involve a process to produce high yields for existing land without affecting the environment. The significance and relevance of SIPs in a Pakistani context demands an investigation. Hence, this study takes the initiative to investigate the determinants regarding the adoption of these practices. Based on the evidence, we selected five SIPs, namely, improved seeds, organic manure, crop rotation, intercropping, and low tillage. Furthermore, this study analyzes the adoption of SIPs with randomly collected data from 612 farmers through multistage sampling. A multivariate probit model (MVP) is employed to analyze the mutually dependent adoption decisions and identify the factors associated with them. The results revealed that education, the area under cultivation, access to information, extension access, social participation, rainfall variability, and temperature increase significantly predict the adoption of SIPs. The adoption of organic manure and crop rotation was highest between all the ecological zones, whereas low tillage was the least adopted practice. Adoption intensity in mixed cropping zones was slightly higher than the other ecological zones. Moreover, the findings also reveal the important synergies amid natural resource management and input-based SIPs. Hence, the study highlights the perseverance and importance of social groups and recommends the government to formulate comprehensive policies to facilitate institutional access and elevate the adoption level amongst the farming community.

Identifying the determinants of firms’ investment in knowledge, this study first explores the heterogeneous impacts of research and development (R&D) on product, process, organization, and marketing innovation. Second, it examines if there exists a complementary (substitute) relation in terms of firms’ preference between four types of innovation. Studying 1500 firms of seven developing economies of the Association of Southeast Asian Nations (ASEAN), we applied the least absolute shrinkage and selection operator (LASSO), a machine learning-based regression, to identify key predictors likely to influence firms’ R&D propensity and intensity. Estimating the knowledge function, we found—in line with LASSO—that medium-sized firms, human capital (training) and credit facilities favorably affect firms’ decision to invest in R&D. Contrarily, the impact is adverse if the first or main product generates firms’ large share of revenue, a unique finding not captured by previous studies. The marginal effects of four univariate probit models indicate that firms’ investment in R&D translates into innovation. However, the application of the Geweke−Hajivassiliour−Keane (GHK)-simulator based multivariate probit, which considers simultaneity of firms’ innovation decisions that univariate probit ignores, suggests that the relationship between different types of innovation is complementary. Firms’ strategy to adopt a particular type of innovation is influenced by other types. This led to the estimation of R&D’s impact on technological and nontechnological innovation, which shows that while firms innovate both types, there is a skewed link between nontechnological innovation and the services sector.

This paper studies whether geographic barriers can influence nonadherence to prescription drugs and its effect on patients' health. We used a multivariate probit model estimated by maximum simulated likelihood that considers individual unobserved heterogeneity, which may characterize the relationship between adherence, medical care utilization, and health outcome. We used administrative data from Liguria, Italy, the region with the highest rate of individuals over the age of 65 in Europe. Our sample included older individuals affected by cardiovascular diseases, which remain one of the leading causes of death in most OECD countries. Our results showed that geographic barriers to pharmacies negatively influence patients' adherence. According to our results, patients' nonadherence to pharmacological therapy is responsible for an increased probability of patients' mortality and the overuse of other medical services, namely, hospitalizations and emergency department visits. Nonadherence may thus represent a potential source of waste for the health care system.

Livelihood diversification is one of the essential climate adaptation strategies with positive outcomes on household’s standard of living. Therefore, the identification of factors that are necessary for livelihood diversification are crucial. Within a gender perspective, this study analysed the determinants of livelihood diversification among farmers in the northern regions of Ghana. A multistage sampling procedure was used to select 619 farmers and the data was analysed using multivariate probit regression for the pooled and separately for the gender groups. The livelihood diversification strategies identified were crop diversification, crop-livestock diversification, crop-trade diversification, crop-agro-processing diversification and crop-professional/skilled employment. The multivariate probit results showed that socioeconomic, institutional factors, climate factors, and household assets have significant influence on each diversification strategy. The assumption of gender difference in the factors that influences livelihood diversification is appropriate since some factors which influence specific livelihood diversification for females do not have significant effect on males. Improving the financial assets, social and human assets of farmers is important to enhance the diversification of farmers. There is also the need to improve awareness of farmers on climate shocks in order to enhance diversification decisions.

Theoretically, the relationship between shocks and agricultural innovation adoption could be ambiguous. While shocks could lower the competence and capacity of households to adopt new agricultural innovations, households can also take-up agricultural innovations as a coping mechanism against the different shocks they face. Using a nationally representative household data from Ethiopia of the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) of the World Bank, this paper analyzes the effect of idiosyncratic and covariate shocks on adoption of different agricultural innovations, assuming interdependence among the innovations. We find shocks to have heterogeneous effects on the adoption of agricultural innovations. Specifically, production and health shocks have negative effects on the adoption of high-cost innovations such as improved seeds, chemical fertilizer, and irrigation. However, production shocks are positively associated with low-cost innovations such as organic fertilizer. To enhance farmers’ adoption of agricultural innovations, especially high-cost innovations, there is a greater need towards the design of policies and interventions that would reduce household’s exposure to production and health shocks.

In the rapidly growing world, where farming land is shrinking due to horizontal urban expansion and development-induced projects, agricultural productivity should grow by 70% to meet food needs. Spatial urban expansion in developing countries, not exceptional to Ethiopia, puts immense pressure by taking peri-urban fertile agricultural land for the purpose of development. This paper examines whether urban expansion increases or decreases the agricultural technology adoption capacity of smallholder peri-urban farmers. Households were clustered into displaced and non-displaced, and data were collected from 341 households, 101 of whom were displaced and 240 households were non-displaced. Descriptive statistics and econometric model were employed to explore the role of urban expansion in technology adoption of smallholder peri-urban farmers. The multivariate probit result shows that urban expansion decreases the tendency of displaced smallholder peri-urban farmers to participate in irrigation and adoption of a generator but urban expansion does not increase or decrease displaced households’ tendency to adopt beehive and practice row sawing. Generally, urban expansion decreases the affinity of smallholder peri-urban farmers to adopt agricultural technologies. Therefore, policymakers, particularly the Bureau of Agriculture should intensively work and train displaced smallholder peri-urban farmers on the benefit of agricultural technologies to improve agricultural productivity and use the remaining plot of farmland sustainably. Besides strong monitoring and follow-up are required to avert the negative ramifications of development-induced displacement.

Why do many smallholder farmers fail to adopt what appear to be relatively simple agronomic or management practices which can help them cope with climate-induced stressors? Using household and plot level data collected in 2011, we implement a multivariate probit model to assess the determinants of farmer adaptation behavior to climatic risks and the relative contribution of information, credit and education on the probability of adopting specific practices in response to adverse changes in weather patterns. We find that plot characteristics, credit constraints and availability of climate-related information explain the adoption of several of these practices. In relative terms, we also find that even when financial limitations are binding, making climate-related information available can still motivate farmers to adapt. Policy implications are that the deepening of extension access with information on the appropriate adaptation strategies is crucial to help farmers make adaptation choices. The need to foster credit markets for easy accessibility and affordability by farmers or otherwise strengthening access to assets is also important.

Recent German health care reforms were intended to increase efficiency and quality of medical supply by introducing managed care (MC). Participation of physicians in MC contracts, however, is still limited. This study econometrically identifies factors determining physicians’ MC participation. The data has been obtained from a telephone survey among 500 German physicians. Economic implications of our results regarding future MC development in Germany are discussed.

Land degradation poses a major threat to agricultural production and food security in Ethiopia, and sustainable land management (SLM) is key in dealing with its adverse impacts. This paper examines the covariates that shape rural livelihood diversification and examines their effects on the intensity of adoption of SLM practices. Household-level data were collected in 2017 from 270 households in three drought-prone watersheds located in northwestern Ethiopia. We used the Herfindahl&ndash, Simpson diversity index to explore the extent of livelihood diversification. A stochastic dominance ordering was also employed to identify remunerative livelihood activities. A multivariate probit model was employed to estimate the probability of choosing simultaneous livelihood strategies, and an ordered probit model was estimated to examine the effect of livelihood diversification on the adoption intensity of SLM practices. In addition to mixed cropping and livestock production, the production of emerging cash crops (e.g., Acacia decurrens for charcoal, and khat) dominated the overall income generation of the majority of farmers. Stress/shock experience, extent of agricultural intensification, and agro-ecology significantly affected the probability of choosing certain livelihood strategies. Livelihood diversification at the household level was significantly associated with the dependency ratio, market distance, credit access, extension services, membership in community organizations, level of income, and livestock ownership. A greater extent of livelihood diversification had a significant negative effect on adopting a greater number of SLM practices, whereas it had a positive effect on lower SLM adoption intensity. Overall, we found evidence that having greater livelihood diversification could prompt households not to adopt more SLM practices. Livelihood initiatives that focus on increasing shock resilience, access to financial support mechanisms, improving livestock production, and providing quality extension services, while also considering agro-ecological differences, are needed. In addition, development planners should take into account the livelihood portfolios of rural households when trying to implement SLM policies and programs.

Innovation is essential for driving business survival, development, and growth. Today, managers within firms continuously search for new ways to gain competitive advantage. In many cases, this comes from the effective use of intangible assets such as workplace skills and abilities. Despite this, little is known about what types of skills are required for innovation, whether these vary by innovation-type, or whether it matters if these skills are outsourced. This paper addresses these issues using data collected on eight skill types as part of the 2008–2010 Irish Community Innovation Survey. We find that there is substantial heterogeneity in the effectiveness of skills at generating different kinds of innovation. In addition, for some types of innovation, it is best to develop the skills in-house (e.g., Engineering skills for product innovation) while for others it is best to outsource the skills (e.g., Multimedia skills for process and organisational innovation).

This study analyzes the factors that influence the probability and extent of the adoption of mungbean production technologies in Tanzania, Kenya and Uganda, using multivariate probit and Poisson regression models. The results show that the probability and extent of the adoption of mungbean production technologies are influenced by gender of the household, household size, farm size, livestock size, household assets, access to extension services and access to credit. The study suggests that policy interventions that aimed at targeting women farmers, increasing household asset and information dissemination, such as field demonstrations and training programs, are crucial in enhancing technology adoption among smallholder farmers.

Most smallholder farmers in sub-Saharan Africa (SSA) are adversely affected by low soil fertility, land degradation and climate change-related shocks such as drought. These problems lead to low productivity and low household income. In addition, the adoption of soil carbon enhancing practices remains low in Western Kenya. This study analyses the factors that influence the probability and extent of adoption of soil carbon enhancing practices in Western Kenya utilizing plot-level information, socioeconomic characteristics and external supporting factors. Multivariate probit model and generalized ordered logit were utilized to assess the adoption of multiple soil carbon enhancing practices and the extent of adoption respectively. Results indicate that the adoption of soil carbon enhancing practices is correlated, suggesting interrelation in farmers' adoption decisions. Both the multivariate probit model and generalized ordered probit results indicate that the probability and extent of adoption of soil carbon enhancing practices are influenced by plot-level characteristics, literacy level, access to agricultural credit, agricultural group membership, participation in the market, and gender of the household., Agriculture, Environmental science, Economics; Agricultural economics; Agricultural policy; Agricultural soil science; Agricultural technology; Environmental economics; Soil fertility; Soil organic carbon; Carbon sequestration; Generalized ordered logit; Multivariate probit

Contains fulltext : 200601.pdf (Publisher’s version ) (Open Access) Enterprise innovation has gained the interest of development policymakers and scholars as the bases for the industrial development. This study comprehensively analyzes the drivers of enterprise innovation in developing countries. The study uses survey data to analyze the determinants of enterprise innovation in Ethiopia using a multivariate probit (MVP) model. For this study, enterprises were grouped into four categories: all-sized, large-sized, medium-sized, and micro- and small-sized enterprises. It appears that engagement in R & D, on-the-job training, and website ownership significantly determine enterprise innovation. This study, unlike previous studies, comprehensively analyzes drivers of innovation by considering enterprises in different sizes and all at the same time. This helps identify factors most relevant for enterprise innovation at all stage which help policymakers get focused on strategy development. Based on the findings, further emphasis on engagement in R & D would help enterprises to become innovative for all categories of enterprises. Furthermore, strengthening the available formal training and diversifying type of the training that is related to skills, knowledge, and techniques that help achieve the long-term objective of the enterprises are worth considering. Enterprises also need to subscribe to different sites that help learn more and access information. 19 p.

Marketing outlets choice is one of the most important farm household decisions to sell their produce and has a great impact on household income. Though the study area has great potential of honey production, the farmers in the study area faced the marketing problem in choice of appropriate honey market outlets. This study was therefore carried out to analyze determinants of honey producers’ market outlet choice decisions in Chena district. A total of 154 honey-producing households were surveyed, and the data obtained were analyzed by using multivariate probit model. The results show that most sampled households in the study area sell their honey to cooperative outlet as compare to other outlets. The results of the econometric model show the dependency of household level marketing decisions as a strategy to maximize their incomes in the long term. The model results also reveal that the quantity of honey sold, frequency extension contact, beekeeping experience, distance to nearest market, market information about each outlet, cooperative membership, and trust in buyers determine market outlet choice decision of honey producers in the study area. Expanding equal accessibility of infrastructures, establishing honey collection centers in potential production areas, increasing the frequency of extension contact, and organizing additional beekeepers into honey cooperatives is suggested.

Travel Behaviour and Society, 8, ISSN:2214-367X

This article contributes to the discussion surrounding the existence of ex ante moral hazard and propitious selection in a voluntary private health insurance scenario. Moreover, it provides an estimation of the determinants of lifestyle choices and of private health insurance demand. A multivariate probit is estimated for health insurance demand and lifestyle decisions to take into account the potential endogeneity of these decisions. The results indicate that there is evidence of ex ante moral hazard in deciding to do sports and eating healthy snacks. Hence, no propitious selection has been found for these decisions. Another relevant result shows that there is no individual heterogeneity for the lifestyle choices, except for smoking, and private health insurance choice. Evidence from the results also supports the idea that there are nonobservable variables playing a role in the lifestyle decisions. These results provide some directions for policymakers, such as the promotion of precautionary behaviours and the use of implicit lifestyle drivers to promote healthy choices by people.

Much research has focused on the organisational and reputational benefits of ISO 14001. However, less discussed is the symbolic adoption that some firms are implementing without experiencing significant reductions in environmental impacts. This work analyses the relationships between the different ISO 14001 adoption profiles (from symbolic profile to factual approach) and both environmental performance and profitability. These relationships are examined using a sample of 1214 manufacturing firms in 7 OECD countries while controlling for selection bias. The results suggest that only ISO 14001 adopters that monitor an extensive set of negative environmental impacts are associated with real improvements in both environmental performance and business performance.

This paper provides the first joint analysis of household stockholding participation, location among stockholding modes, and participation spillovers. Our model matches observed participation, conditional and unconditional, and asset location patterns. We find that financial sophistication correlates strongly only with direct stockholding and mutual fund participation, while social interactions mainly influence stockholding through retirement accounts. Whether retirement account owners include stocks in their accounts strongly depends on owner characteristics, which is not the case with mutual fund owners and investment in stock funds. Stockholding is more common among retirement account owners, but mainly because of owner characteristics rather than of any participation spillovers from retirement account ownership.

Using firm level data from the Irish Community Innovation Survey 2008–2010 we analyse the importance of eight skill sets for the innovation performance of firms. We distinguish between radical and incremental innovation. Our results suggest that there is substantial heterogeneity in the importance of skills for different types of innovation and that some skills are best sourced from outside the firm while others are best developed in-house.

This study explores the relationships between adoption and consideration of three travel-related strategy bundles (travel maintaining/increasing, travel reducing, and major location/lifestyle change), linking them to a variety of explanatory variables. The data for this study are the responses to a fourteen-page survey returned by nearly 1,300 commuting workers living in three distinct San Francisco Bay area neighborhoods in May 1998. We first identified patterns of adoption and consideration among the bundles, using pairwise correlation tests. The test results indicate that those who have adopted coping strategies continue to seek for improvements across the spectrum of generalized cost, but perhaps most often repeating the consideration of a previously-adopted bundle. Furthermore, we developed a multivariate probit model for individuals’ simultaneous consideration of the three bundles. It is found that in addition to the previous adoption of the bundles, qualitative and quantitative Mobility-related variables, Travel Attitudes, Personality, Lifestyle, Travel Liking, and Sociodemographics significantly affect individual consideration of the strategy bundles. Overall, the results of this study give policy makers and planners insight into understanding the dynamic nature of individuals’ responses to travel-related strategies, as well as differences between the responses to congestion that are assumed by policy makers and those that are actually adopted by individuals.

Activists and policy makers strongly encourage consumers to act as responsible citizens when purchasing everyday products. Accordingly, retailers and brands are competing on the market introducing a plethora of sustainability labels that should address increasing customer demand. Nevertheless, the usefulness of these labelling schemes in aiding consumers to make informed purchase decisions is still heavily debated. Results of a survey on Italian young consumers (N = 500) reveal low levels of individuals' familiarity with sustainability labels and highlight that several socio-demographic characteristics and food habits have a significant impact on consumers' knowledge of these labels.

This article studies the relationship between the off-farm participation behavior of farm operators and their spouses and the demographic composition of the household. We focus on farm families without parents, siblings or partners, and examine the effects of the existence of elderly children of the farm couple. We find that both the father and the mother tend to reduce their participation in off-farm work as the number of elderly children rises. This result holds even after controlling for observed characteristics. We also find that the effect of elderly children stems from considerations related to both farm production and household production. Copyright 2004, Oxford University Press.

International audience; Economic instruments have received a lot of attention in the literature dealing with water and energy demand management. However factors driving households' behaviour/habits and investment in water-saving and energy-saving equipment have been seldom studied. The main purpose of this article is to contribute to this literature by analysing the main determinants of a set of households' conservation habits and pro-environmental investment decisions. Using household-level data from Spain, we show that conservation habits and the purchase of resource-efficient appliances are not independent.

This paper analyses farmers' decisions to carry out transactions by using three different types of networks: input supply cooperatives, processing and/or marketing cooperatives, and producers associations. We use arguments from economic sociology and new institutional economics to define the main factors affecting farmers' networking decisions, namely relational, asset and location specificity. We applied a multivariate probit (MVP) model to a sample of 15,368 Italian farmers recorded in the 2006 FADN database in order to analyse the simultaneousness of networking decisions and the main driving factors involved. Our results show that farmers are more likely to join different network types simultaneously.

International audience; Firms increasingly rely upon external actors for their innovation process. Interaction with these actors may occur formally (i.e. through a collaboration agreement) or informally (i.e. external actors acts as sources of information). We analyze the reasons why firms consider it to be important to develop formal and informal external linkages in the innovation process by looking at the role played by firms' innovative strategies and by taking into account the possibility that a complementarity or substitutive relationship might exist between formal and informal linkages. Data are from the Third Community Innovation Survey (CIS 3), where we have access to firm level micro-data from Sweden, Norway, the Netherlands and the UK.

SummaryWe analyse patterns of consent and consent bias in the context of a large general household survey, the ‘Improving survey measurement of income and employment’ survey, also addressing issues that arise when there are multiple consent questions. A multivariate probit regression model for four binary outcomes with two incidental truncations is used. We show that there are biases in consent to data linkage with benefit and tax credit administrative records that are held by the Department for Work and Pensions, and with wage and employment data held by employers. There are also biases in respondents’ willingness and ability to supply their national insurance number. The biases differ according to the question that is considered. We also show that modelling questions on consent independently rather than jointly may lead to misleading inferences about consent bias. A positive correlation between unobservable individual factors affecting consent to Department for Work and Pensions record linkage and consent to employer record linkage is suggestive of a latent individual consent propensity.

The paper investigates the impact of public support for innovation activities on adoption of different innovation strategies and propensities to introduce product, process, organizational and marketing innovations in European small and medium enterprises. In estimating these effects, country and sectoral heterogeneities are taken into account. Effectiveness of alternative policy mixes is also evaluated. The analysis is based on a multivariate, multi-stage econometric model and data from the Community Innovation Survey 2014. It is found that innovation support is utilized differently by newer and older members of the European Union, with the former investing mainly in acquisition of machinery, equipment, software, buildings, knowledge and trainings and the latter directing aid, to a larger extent, to research and development and introduction of innovations. The results also indicate various effectiveness of support from alternative institutional sources. Aid from the EU is more beneficial for manufacturing, while national and local support is more effective in older EU countries than newer members of the European Union and services sector. Using various but not all types of policy mixes is estimated to increase the chances of innovating. It is concluded that innovation support might not be optimally used in newer members of the EU and that better coordination of aid from the EU and national institutions could lead to improved economic results.