This paper investigates the impact of climate change on the productivity of crop production using U.S. county-level yield and weather data between 1950 and 2015. It finds that the pooled estimators used in previous studies underestimate the sensitivity of crops to high temperatures by ignoring slope heterogeneity, and underestimate the damage of future climate change on yield. Furthermore, expl...

Water saving agricultural technologies are a potentially important but under utilized lever to conserve groundwater in India. Technologies like laser levelers have high private returns and lead to water savings, yet the adoption rates are not very high. In order to provide insight for the design of policies to promote adoption, we conducted a survey based study about factors that influence the ...

This paper studies policy instruments that correct insufficient learning-by-doing (LbD) and research and development (R&D) of renewable electricity technologies and insufficient investments in energy efficiency (EE) in the presence of carbon pricing. The theoretical model analysis shows how to re-adjust the first-best in second-best situations, in which one of the policy instruments is restrict...

This paper e.vatnines whether a severe flood causes homeowners to update their assessment of ßood risk as seen in a change in the price of fhodphtin property. I use data on all single-family. residential property sales in St, Louis County. Missouri, hetweeti 1979 and 2006 in a repeat-sales model and a property fixed-effects model. After the ¡993 ßood on the Mi.ssouri and Mississippi rivers, pro...

Understanding the potential impacts of climate change on economic outcomes requires knowing how agents might adapt to a changing climate. We exploit large variation in recent temperature and precipitation trends to identify adaptation to climate change in US agriculture, and use this information to generate new estimates of the potential impact of future climate change on agricultural outcomes....

Global climate change presents a classic problem of decision making under uncertainty with learning. We provide stochastic dominance theorems that provide new insights into when abatement and investment into low carbon technology should increase in risk. We show that R&D into low-carbon technologies and near-term abatement are in some sense opposites in terms of risk. Abatement provides insuran...

This study explores the reduction potential of greenhouse gases for major pollution emitting countries of the world using nonparametric productivity measurement methods and directional distance functions. In contrast to the existing literature we apply optimization methods to endogenously determine optimal directions for the efficiency analysis. These directions represent the compromise of outp...

Annual global CO2 emission forecasts at 2100 span 10 to 40 billion tonnes. Modeling work over the past decade has not narrowed this range nor provided much guidance about probabilities. We examine the time-series properties of historical per capita CO2 emissions and conclude that per capita global emissions are stationary without trend, and have a constant mean of 1.14 tonnes per person with st...

This paper applies the concept of damage coefficients introduced in Houba and Kremers (2008) to provide an estimate of the cost of climate change in particular the cost of changes in mean regional temperature and precipitation to the fruit vegetation sector. We concentrate on the production of apples in the German ‘Alte Land’ region. The estimated cost of climate change on apple-growing in the ...

This study links a multi-sectoral regionalized dynamic computable general equilibrium model of Ethiopia with a system of country-specific hydrology, crop, road and hydropower engineering models to simulate the economic impacts of climate change towards 2050. In the absence of externally funded policy-driven adaptation investments Ethiopia’s GDP in the 2040s will be up to 10 percent below the co...