This study is motivated by the interesting relationship between the income Kuznets curve and the carbon Kuznets curve.This paper focuses on the interaction effects of income distribution and income per capita on CO_2 ...This study is motivated by the interesting relationship between the income Kuznets curve and the carbon Kuznets curve.This paper focuses on the interaction effects of income distribution and income per capita on CO_2 emissions using country group panel data over the period of 1980 to 2006 by employing fixed effects(FE),random effects(RE)and feasible generalized least squares(FGLS)estimation methods.The main findings are as follows.(1)There exists an inverted-U relationship between CO_2 emissions per capita and income per capita in all sample countries and high-income groups.(2)The cross-country income disparity has a negative effect on the average level of CO_2 emissions but a positive effect on the aggregate income elasticity of CO_2 emissions.(3)This negative effect of income disparity on the average level of CO_2emissions decreases along with the growth of per capita income.Thus,economic growth contributes to the reduction of this negative impact.展开更多
Dust accumulation on photovoltaic (PV) panels degrades PV panels’ performance;leading to decreased power output and consequently high cost per generated kilowatt. Research addressing the severity of dust accumulation...Dust accumulation on photovoltaic (PV) panels degrades PV panels’ performance;leading to decreased power output and consequently high cost per generated kilowatt. Research addressing the severity of dust accumulation on PV panels has been ongoing since the 1940s, but proposed solutions have tended to increase the cost of PV systems either from oversizing or from cleaning the system. The objective of this work, therefore, is to design and implement a low-cost affordable automated PV panel dust cleaning system for use in rural communities of Sub-Saharan Africa (SSA);where financial resources are limited and significantly strained in meeting livelihood activities. Complete design and implementation details of a prototype system are provided for easy replication and capitalization on PV systems for sustainable energy needs. The system detects dust based on the innovative use of light-dependent resistors. Testing and observation of the system in operational mode reveal satisfactory performance;measured parameters quantify a power output increase of 33.76% as a result of cleaning dust off the PV panel used in the study.展开更多
基金supported by Grant-in-Aid for Asian CORE Program"Manufacturing and Environmental Management in East Asia" of Japan Society for the Promotion of Science(JSPS)
文摘This study is motivated by the interesting relationship between the income Kuznets curve and the carbon Kuznets curve.This paper focuses on the interaction effects of income distribution and income per capita on CO_2 emissions using country group panel data over the period of 1980 to 2006 by employing fixed effects(FE),random effects(RE)and feasible generalized least squares(FGLS)estimation methods.The main findings are as follows.(1)There exists an inverted-U relationship between CO_2 emissions per capita and income per capita in all sample countries and high-income groups.(2)The cross-country income disparity has a negative effect on the average level of CO_2 emissions but a positive effect on the aggregate income elasticity of CO_2 emissions.(3)This negative effect of income disparity on the average level of CO_2emissions decreases along with the growth of per capita income.Thus,economic growth contributes to the reduction of this negative impact.
文摘Dust accumulation on photovoltaic (PV) panels degrades PV panels’ performance;leading to decreased power output and consequently high cost per generated kilowatt. Research addressing the severity of dust accumulation on PV panels has been ongoing since the 1940s, but proposed solutions have tended to increase the cost of PV systems either from oversizing or from cleaning the system. The objective of this work, therefore, is to design and implement a low-cost affordable automated PV panel dust cleaning system for use in rural communities of Sub-Saharan Africa (SSA);where financial resources are limited and significantly strained in meeting livelihood activities. Complete design and implementation details of a prototype system are provided for easy replication and capitalization on PV systems for sustainable energy needs. The system detects dust based on the innovative use of light-dependent resistors. Testing and observation of the system in operational mode reveal satisfactory performance;measured parameters quantify a power output increase of 33.76% as a result of cleaning dust off the PV panel used in the study.
