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Host Country Attractiveness for CDM Non-Sink Projects AgEcon
Jung, Martina.
In the present study, CDM host countries are classified according to their attractiveness for CDM non-sink projects. A cluster analysis is conducted based on three different factors determining host country attractiveness (mitigation potential, institutional CDM capacity and general investment climate) in order to elaborate a CDM host country classification. The results suggest that only a small proportion of potential host countries will attract most of the CDM investment. The CDM (non-sink) stars are China, India, Brazil, Argentina, Mexico, South Africa, Indonesia and Thailand. They are followed by attractive countries like Costa Rica, Trinidad and Tobago, Mongolia, Panama, and Chile. While most of the promising CDM host countries are located in Latin...
Tipo: Working or Discussion Paper Palavras-chave: Clean development mechanism; Kyoto Protocol; Attractiveness; Cluster analysis; Farm Management; Q25; C49.
Ano: 2005 URL: http://purl.umn.edu/26328
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A Trend Deduction Model of Fluctuating Oil Prices AgEcon
Xu, Haiyan; Zhang, ZhongXiang.
Crude oil prices have been fluctuating over time and by a large range. It is the disorganization of oil price series that makes it difficult to deduce the changing trends of oil prices in the middle- and long-terms and predict their price levels in the short-term. Following a price-state classification and state transition analysis of changing oil prices from January 2004 to April 2010, this paper first verifies that the observed crude oil price series during the soaring period follow a Markov Chain. Next, the paper deduces the changing trends of oil prices by the limit probability of a Markov Chain. We then undertake a probability distribution analysis and find that the oil price series have a log-normality distribution. On this basis, we integrate the...
Tipo: Working or Discussion Paper Palavras-chave: Oil Price; Log-normality Distribution; Limit Probability of a Markov Chain; Trend Deduction Model; OPEC; Resource /Energy Economics and Policy; Q41; Q47; C12; C49; F01; O13.
Ano: 2011 URL: http://purl.umn.edu/101300
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Price Discovery in Nebraska Cattle Markets AgEcon
Stockton, Matthew C.; Bessler, David A.; Wilson, Roger K..
Monthly observations on prices from 10 weight/gender classifications of Nebraska beef cattle are studied in an error correction model (ECM) framework. This study attempts a replication of the 2003 paper on Texas prices by Bessler and Davis, where they find medium heifers (600–700 lb) at the center of price discovery. Using the ECM results Nebraska light steers are found to be weakly exogenous, with the innovation accounting results showing marked differences. Industry structure, production choices, and animal type and breeding herd differences between Texas and Nebraska are proposed as plausible reasons for partial (or incomplete) success at replication.
Tipo: Journal Article Palavras-chave: Bernanke factorization; Cattle prices; Cointegration; Directed acyclical graphs; Error correction; PC algorithm; Price discovery; Agribusiness; Demand and Price Analysis; Industrial Organization; Livestock Production/Industries; Production Economics; Research Methods/ Statistical Methods; C49; Q13.
Ano: 2010 URL: http://purl.umn.edu/57149
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