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Many Kenyan base-of-the-pyramid (BoP) consumers—defined as the poorest two-thirds of the economic human pyramid—remain food insecure, despite the availability of nutrient-dense foods in the market. This study reveals how effective marketing strategies can strengthen food security among BoP consumers through increased access to nutritious foods such as nutrient-dense porridge flour. Nutrient-dense porridge flour refers to a multi-composite porridge flour composed of diverse nutritious ingredients that are necessary to achieve a healthy diet. The main objective of the study was to determine the most effective channel for making nutrient-dense porridge flour available to BoP consumers. Data were collected through a cross-sectional survey in Kawangware, Nairobi County, using a multistage sampling design and a sample size of 603, via structured questionnaires. A multivariate Probit (MV-Probit) model was used to analyze the most effective channel for providing nutrient-dense flour to BoP consumers. The study results show that the most common outlets used to access this flour were supermarkets (51.08%), followed by cereal stores (25.54%). According to previous studies, using appropriate marketing strategies leads to increases in the uptake and consumption of nutritious products in informal urban settlements among developing countries. Consequently, policies and interventions targeting BoP consumption of nutritious products toward reducing food and nutrition insecurity in informal urban settlements should be based on appropriate marketing strategies that consider the institutional factors and significant household characteristics of the BoP communities.

Identifying the determinants of firms&rsquo, investment in knowledge, this study first explores the heterogeneous impacts of research and development (R&amp, D) on product, process, organization, and marketing innovation. Second, it examines if there exists a complementary (substitute) relation in terms of firms&rsquo, 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&rsquo, R&amp, D propensity and intensity. Estimating the knowledge function, we found&mdash, in line with LASSO&mdash, that medium-sized firms, human capital (training) and credit facilities favorably affect firms&rsquo, decision to invest in R&amp, D. Contrarily, the impact is adverse if the first or main product generates firms&rsquo, large share of revenue, a unique finding not captured by previous studies. The marginal effects of four univariate probit models indicate that firms&rsquo, investment in R&amp, D translates into innovation. However, the application of the Geweke&ndash, Hajivassiliour&ndash, Keane (GHK)-simulator based multivariate probit, which considers simultaneity of firms&rsquo, innovation decisions that univariate probit ignores, suggests that the relationship between different types of innovation is complementary. Firms&rsquo, strategy to adopt a particular type of innovation is influenced by other types. This led to the estimation of R&amp, D&rsquo, 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.

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.

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.

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.