Off-campus Michigan Tech users: To download campus access theses or dissertations, please use the following button to log in with your Michigan Tech ID and password: log in to proxy server
Non-Michigan Tech users: Please talk to your librarian about requesting this thesis or dissertation through interlibrary loan.
Date of Award
2014
Document Type
Master's Thesis
Degree Name
Master of Science in Applied Natural Resource Economics (MS)
College, School or Department Name
School of Business and Economics
First Advisor
Mark C Roberts
Abstract
With the economic development of China, the demand for electricity generation is rapidly increasing. To explain electricity generation, we use gross GDP, the ratio of urban population to rural population, the average per capita income of urban residents, the electricity price for industry in Beijing, and the policy shift that took place in China. Ordinary least squares (OLS) is used to develop a model for the 1979-2009 period. During the process of designing the model, econometric methods are used to test and develop the model. The final model is used to forecast total electricity generation and assess the possible role of photovoltaic generation. Due to the high demand for resources and serious environmental problems, China is pushing to develop the photovoltaic industry. The system price of PV is falling; therefore, photovoltaics may be competitive in the future.
Recommended Citation
Li, Shengan, "ELECTRICITY GENERATION MODELING AND PHOTOVOLTAIC FORECASTS IN CHINA", Master's Thesis, Michigan Technological University, 2014.