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Technical dependencies as well as data constraints limit our ability to allocate inputs across sectors and hence our ability to measure sectoral productivity. We adapt a directional measure of efficiency to the measurement of sector-specific productivity that does not require allocating all input...


Nin, A.Arndt, C.Hertel, Thomas W.Preckel, P.V.[Bridging the gap between partial and total factor productivity measures using directional distance functions]Bridging the gap between partial and total factor productivity measures using directional distance functions

Nonparametric productivity analyses performed to date show that most developing countries are experiencing relatively rapid technical regress in agriculture. We discuss the plausibility of these results and argue that they stem from the existence of biased technical change and the definition of t...


Nin, A.Arndt, C.Preckel, P.V.[Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach]Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach

Analysis of climate change is often computationally burdensome. Here, we present an approach for intelligently selecting a sample of climates from a population of 6800 climates designed to represent the full distribution of likely climate outcomes out to 2050 for the Zambeze River Valley. Philoso...


Arndt, C.Fant CRobinson, ShermanStrzepek, K.M.[Informed selection of future climates]Informed selection of future climates

The papers in this special issue represent some of the most comprehensive analyses of the implications of climate change for developing countries undertaken to date. The papers employ a bottoms-up systems approach whereby the implications of climate change are evaluated using structural models of...


Arndt, C.Chinowsky, P.Robinson, ShermanStrzepek, K.M.Tarp FThurlow, J.[Economic development under climate change]Economic development under climate change

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