In this paper, we empirically investigate the impact of the Kyoto Protocol on CO2 emissions using a sample of 170 countries over the period 1992–2009. We propose the use of a difference-in-differences estimator with matching to address the endogeneity of the policy variable, namely Kyoto commitments. Countries are matched according to observable characteristics to create a suitable counterfactual. We correspondingly estimate a panel data model for the whole sample and the matched sample and compare the results to those obtained using an instrumental variable approach. The main results indicate that Kyoto Protocol commitments have a measurable reducing effect on CO2 emissions, indicating that a treaty often deemed a ‘failure’ may in fact be producing some non-negligible effects for those who signed it.

We estimate the impact of large, catastrophic floods on internal armed conflict using global data on large floods between 1985 and 2009. The results suggest that while large floods did not ignite new conflict, they fueled existing armed conflicts. Floods and armed conflict are endogenously determined, and we show that empirically addressing this endogeneity is important. The estimated effects of floods on conflict prevalence are substantially larger in specifications that control for the endogeneity of floods, suggesting that treating natural disasters as exogenous phenomena may underestimate their impacts on sociopolitical outcomes.

This paper examines whether and how experiencing climate-related disasters can improve the rural poor's adaptation to climate change through community-based resource management. Original household survey data in Fiji capture the establishment of community-based marine protected areas following a tropical cyclone. Controlling for the endogeneity of household-level cyclone damage reveals that a household's exposure to the disaster increases its support for establishing marine protected areas, presumably for future safety nets. Evidence suggests that community members' social learning from disaster experience might facilitate their consensual decision making.

This study used the multinomial logistic model to examine the factors leading to differences in farm-households' preferences for various forms of land conservation measures. Using a survey of 4,795 household-plots in rural Ethiopia, the study demonstrates the inappropriateness of pooling different forms of land conservation investments in preference studies. The results suggest that poverty drives farm-households towards conservation measures which are more short term and which entail the expenditure of less skill. While tenure security has a mixed effect on such preferences, market access seems not to matter for preference decisions. Further, farm-households consider the characteristics of the plot in their preference, which also vary across villages. This study shows that a farm-household's preference is a complex decision. Major changes in conservation investments on the part of farm-households will require attention to many factors, since no single factor exerts enough control to be used solitarily as a major policy leverage instrument.

Climate and institutions might be crucial in lowering the vagaries of climate change impacts in terms of productivity. This study measures the relationships of productivity measures adjusted for the regulation of carbon emission and institutions together with climate change throughout the world. This paper finds that there is higher potential for reduction of CO2 emissions in developing countries at lower cost. However, the cost to reduce emissions lowers their growth potential in terms of lost productivity growth. Better institutions help to lower the negative impacts of climate change by improving the process of technological adoption in developing countries. Climate change reduces the productivity growth in developing countries by lowering the process of technological adoption, and better institutions result in higher productivity.