FACTORS THAT AFFECT THE LONG‐TERM SURVIVAL OF MICRO,SMALL AND MEDIUM ENTERPRISES IN ETHIOPIA

There is an increasing recognition of the potential importance of micro, small and medium enterprises (MSMEs) for employment, income and poverty reduction in Ethiopia. Although the MSME sector contributes significantly to the national economy, the high failure rate among well established small businesses and enterprises is a matter of major concern. A random sample of 500 small businesses and enterprises selected from five major cities in Ethiopia were followed up for 6 years in order to assess the impact of influential factors that affect the long‐term survival and viability of small enterprises. Hazard ratios estimated from the Cox Proportional Hazards Model were used to quantify the impact of key predictors of survival. Businesses that ceased operation were characterised by inadequate finance (61%), low level of education (55%), poor managerial skills (54%), shortage of technical skills (49%), and inability to convert part of their profit to investment (46%). The study shows that participation in social capital and networking (iqqub schemes) was critically helpful for long‐term survival. Businesses that did not participate in iqqub schemes regularly were found to be 3.25 times more likely to fail in comparison with businesses that did. Results of the study have implications that could be used for developing policy initiatives that are aimed at fostering long‐term growth in small businesses and enterprises.     

The impact of conservation tillage on maize yield and input demand: the case of smallholder farmers in north‐west Ethiopia

This study analyses the economics of conservation tillage (CT) with respect to its effect on maize yield and chemical fertiliser, herbicide, and female and male labour demand. We estimate production and input demand functions using seemingly unrelated regressions on plot‐level cross‐sectional farm household data collected in the north‐west of Ethiopia. A two‐step control function is applied to address potential endogeneity bias due to the inclusion of the CT adoption decision as an explanatory variable. Our results show that CT increases maize yield and chemical fertiliser demand. Additionally, the results show that the adoption of CT reduces female and male labour required for crop production. However, this is achieved through the increased use of herbicides, which might have an undesirable health and environmental effects.     

E-commerce in Least Developing Countries: Summary Evidence and Implications

ABSTRACT

We undertook a review and classification of research on electronic commerce (e-commerce) in developing countries. We analyzed 181 articles published in a broad range of journals covering e-commerce, global information technology, and development issues. The analysis provides a roadmap that not only indicates the current state of e-commerce for development research but also identifies gaps and priorities for future research. This will be of significant value to both academics and practitioners who are working on, or plan to work on, e-commerce in developing countries.     

Adoption of Multiple Sustainable Agricultural Practices in Rural Ethiopia

The adoption and diffusion of sustainable agricultural practices (SAPs) has become an important issue in the development‐policy agenda for sub‐Saharan Africa, especially as a way to tackle land degradation, low agricultural productivity and poverty. However, the adoption rates of SAPs remain below expected levels. This study analyses the factors that facilitate or impede the probability and level of adoption of interrelated SAPs, using recent data from multiple plot‐level observations in rural Ethiopia. Multivariate and ordered probit models are applied to the modelling of adoption decisions by farm households facing multiple SAPs, which can be adopted in various combinations. The results show that there is a significant correlation between SAPs, suggesting that adoptions of SAPs are interrelated. The analysis further shows that both the probability and the extent of adoption of SAPs are influenced by many factors: a household’s trust in government support, credit constraints, spouse education, rainfall and plot‐level disturbances, household wealth, social capital and networks, labour availability, plot and market access. These results imply that policy‐makers and development practitioners should seek to strengthen local institutions and service providers, maintain or increase household asset bases and establish and strengthen social protection schemes in order to improve the adoption of SAPs.     

Policy instruments for sustainable land management: the case of highland smallholders in Ethiopia

Degradation of land continues to pose a threat to future food production potential in many developing economies. Various approaches, mainly based on command‐and‐control policies, have been tried (with limited success) in the past to encourage adoption of erosion‐control practices by farm households. High transactions costs and negative distributional impacts on the welfare of the poor limit the usefulness of standards and taxes for soil and water conservation. One innovative approach is the use of interlinked contracts which create positive incentives for land conservation. This study analyses the social efficiency of such policies for erosion‐control in the Ethiopian highlands using a non‐separable farm household model. Incentive contracts linked with conservation seem to be promising approaches for sustainable resource use in poor rural economies. This may suggest that conservation programs should give greater consideration to better fine‐tuning and mix of policies that help achieve both economic and environmental objectives.     

Market Imperfections and Land Productivity in the Ethiopian Highlands

This study analyses how market imperfections affect land productivity in a degraded low‐potential cereal‐livestock economy in the Ethiopian highlands. A wide array of variables is used to control for land quality in the analysis. Results of three different selection models were compared with least squares models using the HC3 heteroskedasticity‐consistent covariance matrix estimator. Market imperfections in labour and land markets were found to affect land productivity. Land productivity was positively correlated with household male and female labour force per unit of land. Female‐headed households achieved much lower land productivity than male‐headed households. Old age of household heads was also correlated with lower land productivity. Imperfections in the rental market for oxen appeared to cause overstocking of oxen by some households. Conservation technologies had no significant positive short‐run effect on land productivity. The main results were consistent across the different econometric models.     

Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda

This paper evaluates the ex post impact of adopting improved groundnut varieties on crop income and poverty in rural Uganda. The study utilizes cross-sectional data of 927 households, collected in 2006, from seven districts in Uganda. Using propensity score matching methods, we find that adopting improved groundnut varieties (technology) significantly increases crop income and reduces poverty. The positive and significant impact on crop income is consistent with the perceived role of new agricultural technologies in reducing rural poverty through increased farm household income. This study supports broader investment in agriculture research to address vital development challenges. Reaching the poor with better technologies however requires policy support for improving extension efforts, access to seeds and market outlets that simulate adoption.     

Impact of cooperatives on smallholders' commercialization behavior: evidence from Ethiopia

This article examines the impact of marketing cooperatives on smallholder commercialization of cereals using detailed household data in rural Ethiopia. We use the strong government role in promoting the establishment of cooperatives to justify the use of propensity score matching to compare households that are cooperative members to similar households in comparable areas without cooperatives. The analysis reveals that although cooperatives obtain higher prices for their members, they are not associated with a significant increase in the overall share of cereal production sold commercially by their members. However, these average results hide considerable heterogeneity across households. In particular, we find that smaller farmers tend to reduce their marketed output as a result of higher prices, whereas the opposite is true for larger farmers.     

Variability in agricultural productivity and rural household consumption inequality: Evidence from Nigeria and Uganda

This paper uses multiple rounds of panel data to assess the distributional implications of the variability in agricultural productivity in Nigeria and Uganda. It uses both a conventional decomposition and a regression‐based inequality decomposition approach to estimate the impact of climate‐induced variability in agricultural productivity. To mitigate the endogeneity associated with unobserved time‐invariant and time‐variant household fixed effects, we use rainfall shocks as a proxy for estimating the exogenous variability in agricultural productivity that affects consumption. Results suggest that a 10% increase in the variability of agricultural productivity tends to decrease household consumption by 38 and 52% on average for Nigeria and Uganda, respectively. Controlling for other factors, variability in agricultural productivity contributed to between 25% and 43% of consumption inequality between 2010 and 2015 for Nigeria; and 16% and 31% of consumption inequality between 2009 and 2011 for Uganda. We also show that variability in agricultural productivity increases changes in consumption inequality over time.