Jann Lay

Creating a public tool to assess and promote transparency in global land deals: the experience of the Land Matrix

The Beta version of the Land Matrix (Land Matrix 2012) was launched in April 2012 as a tool to promote public participation in building a constantly evolving database on large-scale land deals, and making the data visible and understandable. The aim of the Land Matrix partnership is to promote transparency and open data in decision-making over land and investment, as a step towards greater accountability. Since its launch, the Land Matrix has attracted a high degree of attention, and stirred some controversy. It provides valuable lessons on the challenges and benefits of promoting open data on practices that are often shrouded in secrecy. This paper critically examines the ongoing efforts by the Land Matrix partnership to build a public tool to promote greater transparency in decision-making over land and investment at a global level. It intends to provoke discussion of the extent to which such a tool can ultimately promote greater transparency and be a step towards greater accountability and improved decision-making. It will present the Land Matrix and its value addition, before detailing the challenges it encountered related to the measurement of the large-scale land acquisition phenomenon. It will then specify how it intends to address these issues in order to establish a dynamic and participatory tool for open development.

Globalisation and poverty changes in Colombia

Assessing the final impact of globalization on poverty is a difficult task. This paper looks at how globalization affects poverty through numerous channels, including the positive and negative linkages and trade expansion and growth that are macro phenomena, whereas poverty is fundamentally a micro phenomenon. In this paper the authors use a new method that combines a micro-simulation model and a standard CGE model. A major policy conclusion is that trade liberalization can substantially contribute to improve the poverty situation. Abstracting from simultaneous additional shocks and labor supply growth, the beginning of the 1990s tariff abatement seems to have accounted for a very large share of the total reduction in poverty recorded from 1988 to 1995. This holds in particular for rural areas. Furthermore distributional impacts differ fundamentally between rural and urban areas, and the methodology highlights that aggregate net results, such as the change in the poverty ratio (headcount), conceal important flows in and out of poverty. This framework captures important channels through which macro shocks affect household incomes and possibly to help in designing corrective pro-poor policies.

Kinship ties and entrepreneurship in Western Africa

Small entrepreneurs in poor countries achieve relatively high marginal returns to capital but show only low re-investment rates. The literature is rather inconclusive about the possible causes. We explore whether ‘forced redistribution’, i.e. abusive demands by the kin, affects the allocation of capital and labor to the household firm. We use an original data-set covering household firms in seven economic centers in Western Africa. We find some evidence that family and kinship ties within the city rather enhance labor effort and the use of capital. However, the stronger the ties to the village of origin the lower input use which is supporting the ‘forced redistribution’ hypothesis. Given that such redistribution is partly the consequence of a lack of formal insurance mechanisms, these results suggest that the provision of health insurance and other insurance devices may have positive indirect effects on private sector development.

The Impact of Commodity Price Changes on Rural Households: The Case of Coffee in Uganda

Policies and external shocks affecting agriculture, the main source of income for rural households, can be expected to have a significant impact on poverty. The authors study the case of Uganda. Throughout the 1990s, more than 90 percent of its poor lived in rural areas and, during the same period, large international price fluctuations as well as an extensive domestic deregulation affected the coffee sector, its main source of export revenues. Using data from three household surveys covering the 1990s, the authors confirm a strong correlation between changes in coffee prices (in a liberalized market) and poverty reduction. This is highlighted by comparing the performance of different households grouped according to their dependence on coffee farming. Regression analysis (based on pooled data from the three surveys) of consumption expenditure on coffee-related variables, other controls, and time-fixed effects corroborates that the mentioned correlation is not spurious. The authors also find that while both poor and rich farmers enter the coffee sector, the price boom benefits the poorer households relatively more, whereas the liberalization seems to create more opportunities for richer farmers. Finally, notwithstanding the importance of the coffee price boom, the agricultural policy framework and the thorough structural reforms in which the coffee market liberalization was embedded have certainly played a role in triggering overall agricultural growth. These factors appear to matter especially in the second half of the 1990s when prices went down but poverty reduction continued.