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.     

Firm adoption of international standards: evidence from the Ethiopian floriculture sector

Global trade in agriculture and food products is increasingly governed by an array of standards. In order to continue exporting, developing countries have little choice but to comply with the new requirements. This study uses a census based panel data set from the nascent floriculture industry in Ethiopia to empirically examine the determinants of firms’ adoption of international private standards in fresh horticulture produce in large‐scale estate farms. The econometric analysis shows that larger size, older, and foreign owned firms are more likely to adopt the private standards. Moreover, this study analyzes the overall industry level efforts and public–private partnership to launch and implement a national scheme GAP and build a firm's capacity to comply with the standards.     

Firm turnover and productivity differentials in Ethiopian manufacturing

Are the forces of market selection at work in Africa? How successful are markets in these economies in sorting out firms on an efficiency basis following the sequence of reforms to liberalize and particularly to transform some of the previous command economies to market oriented ones? What is the pattern of entry and exit in the manufacturing sector and how does it affect industry productivity growth? This study examines these issues using firm-level industrial census data from the Ethiopian manufacturing sector. It is the first attempt to analyze firm turnover and productivity differentials using industrial census data in sub-Saharan Africa. The Ethiopian manufacturing sector exhibits a high firm turnover rate that declines with size. Exit is particularly high among new entrants; 60% exit within the first 3 years in business. Our study consistently shows a significant difference in productivity across different groups of firms, which is reflected in a turnover pattern where the less productive exit while firms with better productivity survive. We also found higher aggregate productivity growth over the sample period, mainly driven by firm turnover.     

The relationship among enterprise clustering,prices, and productivity in Ethiopia’s manufacturing sector

We use census panel data on Ethiopian manufacturing firms to analyze how enterprise clustering in local markets covaries with firm‐level output prices and physical productivity. We find a negative and statistically significant relationship between the density of firms that produce a given product in a given location and the local price of that product. We also find a positive and statistically significant relationship between the density of firms that produce a given product in a location and the physical productivity of same‐product firms in the location. These results are consistent with the notion that increased clustering of firms generates higher competitive pressure and positive externalities. Across firms that produce different products, we find no statistically significant relationship between enterprise clustering and firm‐level output prices and productivity. We also find no clustering effects across towns. Our results suggest that while clustering can impact firm performance, the advantages are narrow in scope.