By Leonardo Corral* and Heath Henderson**
Land inequality in developing countries has been found to hamper long-term economic growth and also mitigate the poverty-reducing effects of existing growth by limiting effective access to land by the rural poor. Further, given the often-observed inverse relationship between farm size and productivity, land inequality can adversely affect agricultural productivity.
While land allocation has historically been driven by inheritance and land reform initiatives, in recent decades markets for the rental or sale of land have become considerably more prominent. So, how might the rise of such private, market-led initiatives affect land inequality?
By Graham Watkins*
A month ago I was bumping along a dusty road in the Beni (Bolivia) from San Borja to San Ignacio de Moxos. Someone in the car said that this road had been named as the “worst road in the world.” That reminded me of a 36 hours trip on the Georgetown-Lethem road (Guyana). We only had to travel 60 kilometers in an old British Army Bedford truck, but the trip included a broken femur, eight hours in axle deep mud, and a 10 km walk in the middle of the night with singing nightjars.
These kinds of roads connect people through remote areas. The people who live along these roads suffer the negative consequences –hurtling minibuses, cultural and lifestyle change, reduced security, land use by outsiders, stream pollution, commercial fishing and hunting, and even floods when the roads block natural water flows. The challenge in building these roads is how to ensure that the road provides a service to all people rather than being a service for some and a burden for others. Here are three suggestions as to how to better address this challenge.
By: David Alfaro Serrano*
Proper estimation of the standard errors of the estimators of regression coefficients is important. These estimates are needed when analyzing statistical significance, which is the basis of the interpretation of the results of an econometric analysis. In impact evaluation practice, analysis of statistical significance is what allows the researcher to say whether there is evidence for the effectiveness of an intervention.
In this post I tell you something I discovered recently about the calculation of estimators’ standard errors: there are cases in which the correlation of the errors of the regression model can be ignored when calculating them. Moreover, these cases arise frequently with experimental data. Read more…
No doubt, we economists believe that incentives matter. Recently, it has been argued that incentives could be used to encourage desirable habits, such as getting regular exercise or having a healthy diet. This has become particularly important in Latin America given its demographic and epidemiological situation (Galiani and Weinschelbaum, 2014).
If the welfare created by consuming or undertaking some activity today depends on that same level in the past, or in more technical terms, if the marginal utility of consumption today is positively correlated with past consumption, then providing monetary incentives to undertake an activity could lead to us to do that same activity in the future, thus changing behavior. This hypothesis is known as “habit forming.” However, it has also been noted that granting of rewards can be counterproductive, as it provides an extrinsic motivation for a task or activity that can displace the intrinsic motivation. This hypothesis is known as “crowding-out”. This effect could be particularly important in the medium term, when economic incentives are withdrawn and the individual may have lost her initial motivation for the activity in question.
The Intergovernmental Panel on Climate Change, established by the United Nations Environmental Programme and the World Meteorological Organization , in its Working Group I report, confirmed that it is extremely likely that human activity has contributed to increases in global average surface temperatures through the release of greenhouse gases.
The report also states that it is very likely that human activity has contributed to increased frequency of extreme weather events. Given current trends in emissions, further climate changes and frequency of extreme weather events is projected to continue through the 21st century. This underscores the importance of developing and implementing adaptation strategies, particularly for vulnerable sectors.
The Working Group II report documents current evidence on vulnerable sectors, likely impacts in the absence of adaptation, and more limited evidence on adaptation strategies. As documented in this report, a particularly vulnerable sector is agriculture. Those dependent on agriculture for their livelihoods are also often those with limited resources to adapt to climate changes, including expected increases in the frequency of weather extremes. This then presents a double challenge, supporting those with limited resources to adapt to climate change in a sector particularly vulnerable to such changes.
A recent IDB study synthesizes current empirical evidence on a number of agricultural practices that have been posited to increase yields and reduce yield variability by building soil quality, increasing water use efficiency, and reducing soil and water erosion.