Business lessons for DRC's leadership crisis

Kwame Marfo looks beyond DRC's current leadership crisis to imagine a new future for the Central African country

On tone and segmental processes in Akan phrasal words: A prosodic account

Based on where and how phonological rules apply, studies in Lexical Phonology (Mohanan 1986; Kiparsky 1985; Pulleyblank 1986; etc.) distinguish between two levels in the phonology; namely, lexical and post-lexical. At the post-lexical level, the various phonological rules normally require particular domains, without which they fail to apply. The question that follows is where and how we define these domains. Considering Akan Noun-Noun and Noun-Adjective phrasal word (compound) constructions in prosodic phonology (Selkirk 1986, Nespor and Vogel 1986 and Hayes 1989; etc.), this paper touches on some aspects of the prosody-syntax interface on the idea that the domain of a post-lexical rule is drawn from the prosodic component, an intermediate phase of interface analysis. The rules that come to bear are tonal (i.e. H-Deletion, H-Insertion and Boundary assimilation) and segmental (i.e. Prefix deletion and Diphthong simplification) ones that apply on the dictates of particular prosodic domain attainment. Thus, this paper argues that the syntactic structure influences these phonological rules, but indirectly through the prosodic structure (Inkelas 1989). Finally, the paper claims that with the prosodic domains occurrences are better defined and accounted for

A latent class approach to investigating farmer demand for biofortified staple food crops in developing countries: The case of high-iron pearl millet in Maharashtra, India

This study explores farmer acceptance and valuation of a biofortified staple food crop in a developing country prior to its commercialization. We focus on the hypothetical introduction of a high-iron pearl millet variety in Maharashtra, India, where pearl millet is among the most important staple crops. A choice experiment is used to investigate farmer preferences for and trade-offs among various production and consumption attributes of pearl millet. The key pearl millet attributes studied included days it takes pearl millet to mature, color of the roti (flat bread) the grain produces, the presence of high-iron content (nutritional attribute), and the price of the pearl millet seed. Choice data come from 630 pearl millet-producing households randomly selected from 3 purposefully selected districts of Maharashtra. A latent class model is used to investigate the heterogeneity in farmers' preferences for pearl millet attributes and to profile farmers who are more or less likely to choose high-iron varieties of pearl millet. Our results reveal that there are three distinct segments in the sample, and there is significant heterogeneity in farmer preferences across these segments. High-iron pearl millet is valued the most by larger households that produce mainly for household consumption and currently have lower quality diets. Households that mainly produce for market sales, on the other hand, derive lower benefits from consumption characteristics such as color and nutrition. These results have implications for the design of targeted strategies to maximize adoption and consumption of high-iron pearl millet varieties.Biofortification, Choice experiment, latent class model, preference heterogeneity, Pearl millet,

Has the Ghana economic bubble finally burst?

LSE alumnus Kwame Marfo analyses the reason behind Ghana’s recent economic woes

Developing big data capabilities in developing countries: Evidence from a cross industry study in Ghana

Big data is a phenomenon which is generating a lot of interest in academia and practice. In the mist of all this excitement lies a world of uncertainty that most firms seem not to be able understand, how to develop, deploy or combine the capabilities of big data to obtain the benefits that big data offers. To address this, this research uses dynamic capabilities as its theoretical lens to bring clarity to this problem. The research establishes 6 broad categories which makes up the typology of big data capabilities. The big data capabilities identified are technological, data management, legal and ethical, analytical, data sharing and decision making capabilities. The research further establishes the benefit dimensions of big data as organizational, managerial, strategic, IT infrastructure and operational benefits. Using the component factors of dynamic capabilities namely adaptive, absorptive and innovative capabilities, as well as the individual, routine/processes, organization and industry levels of analysis of dynamic capabilities, the research establishes a big data capability conceptual model which is currently being tested for understanding and possible modification with empirical data. The empirical data is being gathered from a cross industry perspective with the sector industries being healthcare insurance, banking and telecommunication

Efficacy and adoption of strategies for avian flu control in developing countries

In this paper, we present the results of a two-stage expert elicitation (Delphi) study conducted to provide input to contingent valuation (CV) studies. These CV studies are designed to estimate the benefits of various public and private strategies for the control of Highly Pathogenic Avian Influenza (HPAI) across the study countries of Ethiopia, Ghana, Indonesia, Kenya, and Nigeria. The results of these CV studies are expected to feed into the cost-benefit and cost-effectiveness analyzes, which will be conducted to identify the effective HPAI control strategies in each study country. The information gathered through the Delphi study included (1) definitions of the small-scale producers (noncommercial/semicommercial and commercial) across the study countries, (2) estimations of the efficacy of various private and public control strategies in HPAI control, and (3) estimates of the proportion of poultry producers who are expected to adopt these control strategies under different scenarios. In this Delphi study, we collected data from 23 experts and analyzed the data by using statistical analysis methods. The results reveal that small-scale flocks are significantly larger in Indonesia, compared to the four African countries. The efficacy levels of both private and public HPAI control strategies investigated are significantly higher for commercial producers than for their noncommercial/semicommercial counterparts. Across private strategies and study countries, regular monitoring is thought to have the highest efficacy for those in the noncommercial/semicommercial sector, whereas regular disinfection and containment in hard material (as a combined strategy) was found to be the most effective strategy in minimizing risk in the commercial sector. Across public strategies and study countries, experts see surveillance by veterinary services as the most effective public sector HPAI control strategy in both the noncommercial/semicommercial and commercial sectors. Finally, according to the experts, small-scale poultry producers’ likelihood of adoption is low overall, although adoption rates are higher for commercial producers than for noncommercial/semicommercial producers.Adoption, commercial sector, Delphi study, disease risk introduction and spread, efficacy, expert elicitation, Highly Pathogenic Avian Influenza, HPAI, noncommercial sector, private disease risk minimization strategies, public disease risk minimization strategies, semicommercial sector, small-scale poultry producers,

Investigating economywide and household-level impacts of sector-specific shocks in a poor country: The case of avian flu in Ethiopia

Do the economic effects of potential avian flu outbreaks justify policy attention and resource allocation in a poor country like Ethiopia? We address this question by assessing both economywide (macro-level) economic impacts and household (micro-level) livelihood impacts that might be caused by an avian flu outbreak in Ethiopia. Because 1) the prevalent traditional poultry sector is weakly linked to other sectors, 2) livelihoods of the poultry-producing households are diversified, and 3) shocks are idiosyncratic in nature, the study finds that the impacts of an avian flu outbreak are likely to be small and limited to producers who keep larger flocks. Therefore, allotment of funds to prevent the disease must be justified on the grounds of preventing spread of the disease to human populations in Ethiopia and in other countries where it might have more severe economic and health effects. In other words, resource allocation must be justified as a global public good.avian flu, Livelihoods, multimarket model, simulations, probit, zero-inflated negative binomial, Propensity score matching,

Early childhood development in Africa: interrogating constraints of prevailing knowledge bases

The past two decades have been characterized by renewed attention to the importance of early childhood development (ECD) policies and services in the world\u27s richest and most industrialized countries. During the same period, we have witnessed unprecedented efforts to place ECD policies on the national development planning agenda of the economically less advantaged countries of the Majority World. This paper is premised on the concern that the purposes that have led bilateral and multilateral international agencies to promote and support ECD services in Africa may also be paving the way for uncritical adoption of program and service delivery models grounded in value systems and knowledge bases that may not be appropriate for the continent. We present two critiques to highlight the dangers of ignoring the sociocultural contexts of the knowledge bases that inform ECD policies and practices. We describe one capacity-building effort, under the auspices of the Early Childhood Development Virtual University (ECDVU), to promote culturally relevant knowledge and prepare leadership personnel for Africa\u27s emerging ECD movement. Finally, based on an exercise designed for an ECDVU cohort to engage and reflect on critiques of mainstream research and theorizing on child development, we share insights that are suggestive of the ways in which African perspectives can contribute to and enrich a global knowledge base on child development

Early developmental and psychosocial risks and longitudinal behavioral adjustment outcomes for preschool-age girls adopted from China

The central goal of this longitudinal study was to examine behavioral adjustment outcomes in a sample of preschool-age adopted Chinese girls. Research examining the effects of institutional deprivation on post-adoption behavioral outcomes for internationally adopted children has been constrained by the frequent unavailability of data on the institutional experiences of adopted children. Using child-level measures of the residual effects of pre-adoption deprivation or adversity, the present study of 452 preschool-age girls adopted from China tested the hypothesis that these measures will better predict behavioral adjustment (as measured on the CBCL/1½–5) than age at adoption (AAA), used conventionally as a proxy measure of the magnitude of deprivation effects. Along with AAA (M = 13.1 months, SD = 5.1), our measures were used to predict behavioral adjustment at two time points (Mage = 2.7 years at Time 1 and 4.8 years at Time 2). There was strong stability in behavioral adjustment across time, and the regression results showed that delays in social skills, refusal/avoidance behaviors, and crying/clinging behaviors at the time of adoption, rather than AAA, predicted behavioral adjustment outcomes