Electricity Consumption and Its Impact Factors: Based on the Nonparametric Model
نویسنده
چکیده
The security of power consumption demand is an essential issue in maintaining a rapid economic development in China. Owing to the advantages such as the robustness and favorable estimation performances, the semiparametric model and nonparametric models have obtained wide popularity. In this article, based on the semiparametric and nonparametric models, a new estimation model is created, and the linear and nonlinear effects of influencing the power consumption are investigated. The results indicate that the economic growth, population, and economic structure play a vital role in the power consumption; the impact of the power price index on the electricity consumption is small, which can-not offset rapid growth of the electricity consumption that the economic growth, population and economic structure bring; the energy utilization efficiency still stays at a low level in China.
منابع مشابه
Investigating the Factors Affecting Energy Consumption in the Iranian Agricultural Sector Using Parametric and Nonparametric Methods
Abstract In order to study energy consumption in Iran's agricultural sector, a Genetic algorithm concept was used to calculate significant factors affecting energy consumption between 1974 and 2008. Then, durability or "stability" of variables was assessed through econometric method (Augmented Dickey-Fuller test). In addition, long-term and short-term relationships of energy consumption were es...
متن کاملThe Effect of Change in Electricity Tariffs on Electricity Consumption and Macroeconomic Variables With Dynamic Stochastic General Equilibrium (DSGE) Approach
The purpose of this article is to investigate the impact of electricity tariffs in the domestic and industrial sectors on electricity consumption and macroeconomic variables. In this regard, statistical data for the period 1991-2020 based on seasonal frequency and dynamic stochastic general equilibrium approach (DSGE) have been used. In this study, it is assumed that there is a section in the h...
متن کاملشبیهسازی تقاضای برق صنایع ایران با استفاده از سیستم داینامیک
Nowadays, electricity is one of the most significant infrastructures required for economic development of countries. Hence, predicting electricity demand is very important especially in industry as a major electricity-consuming sector. The majority of studies under the subject of electricity demand have been performed by econometrics and it is not possible to investigate the effect of different...
متن کاملModeling Electricity Expenditures using BSOM based on Techno-Socio Economic: A Case Study of Urban Households of Iran’s Provinces
E lectricity has particular importance in the national economy and providing socio-economic welfare. It is considered an essential infrastructure of the countries development. This is why the management of electricity consumption and the formulation of proper policies for it is very important for policy-makers. To do this successfully, it is necessary to identify energy consumption p...
متن کاملEconomic Factors affecting demand for gas in Iran
In this study the autoregressive distributed lag model and error correction model to estimate Hazard function is used during the years 1377-1394. The results show that in the short term and long term there is substitution between electricity and natural gas in the domestic sector. But the price elasticity of demand relative to the price of electricity is less than 5.0, this result indicates tha...
متن کامل