Institution
Kiel Institute for the World Economy
Facility•Kiel, Germany•
About: Kiel Institute for the World Economy is a facility organization based out in Kiel, Germany. It is known for research contribution in the topics: Foreign direct investment & Productivity. The organization has 318 authors who have published 1909 publications receiving 42832 citations. The organization is also known as: Institut für Weltwirtschaft an der Universität Kiel.
Papers published on a yearly basis
Papers
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TL;DR: The third generation prospect theory (PT3) as mentioned in this paper is a new theory of decision under uncertainty that allows reference points to be uncertain while decision weights are specified in a rank-dependent way, which predicts the observed tendency for willingness to accept valuations of lotteries to be greater than willingness to pay valuations.
Abstract: We present a new theory of decision under uncertainty: third-generation prospect theory (PT3). This retains the predictive power of previous versions of prospect theory, but extends that theory by allowing reference points to be uncertain while decision weights are specified in a rank-dependent way. We show that PT3 preferences respect a state-conditional form of stochastic dominance. The theory predicts the observed tendency for willingness-to-accept valuations of lotteries to be greater than willingness-to-pay valuations. When PT3 is made operational by using simple functional forms with parameter values derived from existing experimental evidence, it predicts observed patterns of the preference reversal phenomenon.
234 citations
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TL;DR: In this article, the authors investigated the differences between small, medium-sized and large firms regarding their perfor- mance in the introduction of new products and processes and found that product and process innovations are associated with different innovative inputs and strategies pursued by firms.
Abstract: The paper investigates the differences between small, medium-sized and large firms regarding their perfor- mance in the introduction of new products and processes. After a review of the relevant literature, two models are proposed and tested in search for different business strategies and innovation inputs connected to product and process innovations. The empirical analysis uses innovation survey (CIS 2) data at the industry level for 22 manufacturing sectors, broken down in three firm size classes, for eight European countries. Special attention is devoted to tackling the issues of possible endoge- neity of the regressors and of unobserved sectoral heterogene- ity. The results - strengthening the findings of previous studies - show that product and process innovations, though having some complementarities, are associated to different innovative inputs and strategies pursued by firms. Systematic differences also emerge between the behaviour of large firms and SMEs.
217 citations
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TL;DR: This article used the hedonic approach to measure the amenity value of climate in Germany and found that house prices are higher in areas with higher January temperatures, lower July temperatures and lower January precipitation.
Abstract: This study uses the hedonic approach to measure the amenity value of climate in Germany. Unlike in earlier research separate hedonic wage and house price regressions are estimated for relatively small geographic areas and formal tests undertaken to determine whether the coefficients describing the impact of climate variables are homogenous across these areas. Evidence suggests that German households are compensated for climate amenities mainly through hedonic housing markets. Given that climate is largely unproductive to industry and few industries spend more on land than labour this is consistent with what theory would predict. Throughout Germany house prices are higher in areas with higher January temperatures, lower July temperatures and lower January precipitation. In East Germany wages are higher in areas with higher January precipitation. The full implicit price of climate variables however is very uncertain.
216 citations
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TL;DR: In this article, the potential impacts of climate change and CO2 fertilization on global agriculture were assessed based on predicted changes in the magnitude and distribution of global precipitation, temperature and river flow under the IPCC SRES A1B and A2 scenarios.
Abstract: Based on predicted changes in the magnitude and distribution of global precipitation, temperature and river flow under the IPCC SRES A1B and A2 scenarios, this study assesses the potential impacts of climate change and CO2 fertilization on global agriculture. The analysis uses the new version of the GTAP-W model, which distinguishes between rainfed and irrigated agriculture and implements water as an explicit factor of production for irrigated agriculture. Future climate change is likely to modify regional water endowments and soil moisture. As a consequence, the distribution of harvested land would change, modifying production and international trade patterns. The results suggest that a partial analysis of the main factors through which climate change will affect agricultural productivity lead to different outcomes. Our results show that global food production, welfare and GDP fall in the two time periods and SRES scenarios. Higher food prices are expected. Independently of the SRES scenario, expected losses in welfare are marked in the long term. They are larger under the SRES A2 scenario for the 2020s and under the SRES A1B scenario for the 2050s. The results show that countries are not only influenced by regional climate change, but also by climate-induced changes in competitiveness.
215 citations
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TL;DR: In this article, the authors examine the following determinants: socio-economic factors, building characteristics, heating technologies and weather conditions, and derive price and income elasticities both for Britain as a whole and for different types of household.
201 citations
Authors
Showing all 325 results
Name | H-index | Papers | Citations |
---|---|---|---|
Richard S.J. Tol | 116 | 695 | 48587 |
Axel Dreher | 78 | 350 | 20081 |
Holger Görg | 67 | 367 | 17161 |
J. Edward Taylor | 50 | 210 | 13967 |
Thomas Lux | 49 | 194 | 11041 |
Dennis J. Snower | 47 | 311 | 9689 |
Xinshen Diao | 46 | 251 | 6568 |
Gabriel Felbermayr | 45 | 272 | 6586 |
Peter Nunnenkamp | 42 | 250 | 5711 |
Ansgar Belke | 42 | 536 | 7383 |
Awudu Abdulai | 41 | 156 | 6555 |
Katrin Rehdanz | 40 | 161 | 6453 |
Martin F. Quaas | 39 | 189 | 5628 |
Michael Hübler | 36 | 194 | 4051 |
Mario Larch | 34 | 146 | 4040 |