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Persistent link: https://www.econbiz.de/10005604288
Environmental concerns associated with power generation drive an increasing interest in developing load management strategies to reduce pollutant emissions. Currently, no mechanism exists to directly influence pollutant emissions based on demand-side decisions. This shortcoming is addressed...
Persistent link: https://www.econbiz.de/10010743598
With the rapid economic and social development in China, pressure on water resources in the Yellow River is becoming more and more prominent. For the sustainable social, economic and agricultural development in the Yellow River valley, it is imperative to create the perfect water right...
Persistent link: https://www.econbiz.de/10010794188
Understanding of human mobility in urban space benefits the planning and provision of municipal facilities and services. Due to the high penetration of cell phones, mobile cellular networks provide information for urban dynamics with a large spatial extent and continuous temporal coverage in...
Persistent link: https://www.econbiz.de/10010588431
This article documents the business cycle characteristics of the Chinese economy by adopting both nonparametric and parametric methodologies. The two approaches are applied to relevant macroeconomics indicators -- Gross Domestic Product (GDP) and Industrial Production (IP) indices -- aiming to...
Persistent link: https://www.econbiz.de/10010619034
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This paper analyzes the internal divisional structure within an organization in the framework of incomplete contract theory. We use the framework of Aghion and Tirole (1997) and dene the managerial control structure as \sequence of search". A key feature of this paper which di erentiate it from...
Persistent link: https://www.econbiz.de/10010826829
Many parameters and positive-definiteness are two major obstacles in estimating and modeling a correlation matrix for longitudinal data. In addition, when longitudinal data is incomplete, incorrectly modeling the correlation matrix often results in bias in estimating mean regression parameters....
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