Economic development, pollutant emissions and energy consumption in Malaysia

2008 ◽  
Vol 30 (2) ◽  
pp. 271-278 ◽  
Author(s):  
James B. Ang
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Pollutant Emissions

scholarly journals Dynamic Relationship Between China’s Environmental Protection Investment and Regional, Environmental Pollution

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Xiaowen Qiu
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Environmental Protection ◽  
High Energy ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Control Variables ◽  
System Gmm ◽  
The Impact

The carrying capacity of China’s resources and environment has reached a limit. The economic development of different regions has been forced to abandon the original economic development mode manifesting high pollution, high energy consumption, and high emission and to step forward to the new economic development model promoting low energy consumption, low emission, and low pollution. Environmental issues are typical manifestations of market mechanism failure. Government investment in environmental protection, which effectively improves environmental quality, is necessary to achieve sustainable economic development. An index system of the influencing factors that affect regional environmental pollutant emissions was established first in this study to measure accurately the relationship between environmental protection investment in different provinces in China and regional environmental pollution. System GMM (Generalized Method of Moment) method was used to analyze the impact of environmental protection investment on pollutant emissions in 30 provinces in China from 2007 to 2016. Results show that the system GMM method can effectively solve variable endogeneity. Environmental protection investment of explanatory variables has a significant negative effect on pollutant emissions. Among the control variables, per capita GDP (Gross Domestic Product), industrial structure, resident consumption level, and technology market turnover have a significant inhibitory effect on pollutant emissions. Among the control variables, investment in fixed assets and import and export trade is vital in promoting pollutant emission growth. Conclusions provide a reference for improving the governance level of environmental protection investment in China’s provinces, controlling environmental pollution and ecological damage, and realizing a green economic development method.

scholarly journals Gray Correlation Analysis of Energy Consumption, Environmental Pollution, and Economic Growth in Subtropical Regions of China: Guangxi and Zhejiang as Examples

2019 ◽  
Vol 12 ◽  
pp. 194008291984810 ◽  
Author(s):  
Xiaochun Luo ◽  
Lin Lu ◽  
Zilong Wang ◽  
Liguo Yang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Correlation Analysis ◽  
Environmental Pollution ◽  
Pollutant Emissions ◽  
Resource Endowment ◽  
The World ◽  
Gray Correlation ◽  
Gray Correlation Analysis

Energy usage strongly supports economic growth while also resulting in serious environmental problems. How to effectively use energy to achieve economic growth on the premise of environmental friendliness is an important topic on which to focus in the new century. China is the largest developing country in the world in terms of population. Its subtropical population is close to one half of its total population. The subtropical region is representative of China’s regions with delayed economic development. However, the region has a small share of energy resources, including coal, oil, and gas. At the same time, the rapid economic growth of the region in the past three decades has deviated from the theory of resource endowment. Therefore, it is necessary to study the relationship among energy consumption, environmental pollution, and economic growth in China’s subtropical regions. The study should be conducive to healthy economic development in China and in the world as a whole. This article calculates the degree of correlation among energy consumption, environmental pollution, and economic growth by means of a gray correlation analysis. The results show that energy consumption drives the development of the economy and causes environmental pollution. Environmental pollution also has negative effects on economic development. With regard to reconciling energy consumption, environmental pollution, and economic growth, technology can be used to improve energy use efficiency and reduce pollutant emissions. Energy consumption structure should be optimized to achieve clean, high-quality energy consumption. Policies should be established to encourage green production, and laws should be enacted to support these policies.

scholarly journals Energy consumption, economic development and environmental degradation nexus for Nigeria

2021 ◽  
Vol 8 (4) ◽  
pp. 463-473
Author(s):  
David Ashibi Ushie ◽  
Esther Ranmilowo Aderinto
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Ecological Footprint ◽  
Environmental Indicators ◽  
Pollutant Emissions ◽  
Positive Effects ◽  
Long Run ◽  
Short Run

This study tests the existence of the Environmental Kuznets Curve (EKC) hypothesis for Nigeria using two environmental indicators vis-à-vis ecological footprint and carbon dioxide emissions. Data was sourced from World Development Indicators (WDI) and the Global Footprint Network for the period spanning from 1981 to 2019.The Auto Regressive Distributed Lag (ARDL) method was employed. It was observed that short-run and long-run relationships exist among the variables. Findings revealed that in the short and long run, energy consumption has positive effects on CO2 emissions in Nigeria. However, for ecological footprint, only energy consumption in the three lagged period has a positive relationship with EFP in the short run without any significant effect being observed in the long run. Similarly, an inverted U-shaped environmental degradation-economic development relationship was established in the study which validated the EKC hypothesized inverted U-shape for CO2 emissions. However, for EFP, there was no evidence of the EKC. As such, the shape of the EKC curve is subject to the environmental indicators employed. The study therefore recommends an increase in the use of alternative sources of energy that are relatively free from pollutant emissions as an alternative and viable option for Nigeria.

scholarly journals Economical Speed for Optimizing the Travel Time and Energy Consumption in Train Scheduling using a Fuzzy Multi-Objective Model

2021 ◽  
Author(s):  
Ahmad Reza Jafarian-Moghaddam
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Pollutant Emissions ◽  
Scheduling Problems ◽  
Train Scheduling ◽  
Multi Objective ◽  
Consumption Ratio ◽  
Proposed Model ◽  
Objective Model ◽  
Time And Energy

AbstractSpeed is one of the most influential variables in both energy consumption and train scheduling problems. Increasing speed guarantees punctuality, thereby improving railroad capacity and railway stakeholders’ satisfaction and revenues. However, a rise in speed leads to more energy consumption, costs, and thus, more pollutant emissions. Therefore, determining an economic speed, which requires a trade-off between the user’s expectations and the capabilities of the railway system in providing tractive forces to overcome the running resistance due to rail route and moving conditions, is a critical challenge in railway studies. This paper proposes a new fuzzy multi-objective model, which, by integrating micro and macro levels and determining the economical speed for trains in block sections, can optimize train travel time and energy consumption. Implementing the proposed model in a real case with different scenarios for train scheduling reveals that this model can enhance the total travel time by 19% without changing the energy consumption ratio. The proposed model has little need for input from experts’ opinions to determine the rates and parameters.

scholarly journals Spatiotemporal Effects and Driving Factors of Water Pollutants Discharge in Beijing–Tianjin–Hebei Region

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1174
Author(s):  
Qilong Ren ◽  
Hui Li
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Pollutant Emissions ◽  
Spatial Correlations ◽  
Time Data ◽  
Spatiotemporal Evolution ◽  
Water Pollutants ◽  
Pollutant Discharge

The problem of water pollution is a social issue in China requiring immediate and urgent solutions. In the Beijing–Tianjin–Hebei region, the contradiction between preserving the ecological environment and facilitating sustainable economic development is particularly acute. This study analyzed the spatiotemporal evolution of water pollutants and their factors of influence using statistics on the discharge of two water pollutants, namely chemical oxygen demand (COD) and NH3-N (ammonia nitrogen), in 154 counties in both 2012 and 2016 as research units in the region. The study employed Exploratory Spatial-Time Data Analysis (ESTDA), Standard Deviational Ellipse (SDE), and the Geographically Weighted Regression (GWR) models, as well as ArcGIS and GeoDa software, obtaining the following conclusions: (1) From 2012 to 2016, pollutant discharge dropped significantly, with COD and NH3-N emissions decreasing 65.9% and 47.2%, respectively; the pollutant emissions possessed the spatial feature of gradual gradient descent from the central districts to the periphery. (2) The water pollutants discharge displayed significant and positive spatial correlations. The spatiotemporal cohesion of the spatiotemporal evolution of the pollutants was higher than their spatiotemporal fluidity, representing strong spatial locking. (3) The level of economic development, the level of urbanization, and the intensity of agricultural production input significantly and positively drove pollutant discharge; the environmental regulations had a significant effect on reducing the emission of pollutants. In particular, the effect for NH3-N emissions reduction was stronger; the driving effect of the industrial structure and the distance decay was not significant.

scholarly journals Traffic Light Priority for Trams in Warsaw as a Tool for Transport Policy and Reduction of Energy Consumption

2021 ◽  
Vol 13 (8) ◽  
pp. 4180
Author(s):  
Andrzej Czerepicki ◽  
Tomasz Krukowicz ◽  
Anna Górka ◽  
Jarosław Szustek
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Electric Energy ◽  
Fixed Time ◽  
Pollutant Emissions ◽  
Computer Simulation Model ◽  
Traffic Light ◽  
Electric Energy Consumption ◽  
Time Control ◽  
Reduction Of Energy Consumption

The article presents an analysis of priority solutions for trams at a selected sequence of intersections in Warsaw (Poland). An analysis of the literature has shown the topicality of this issue. A computer simulation model of a coordinated sequence of intersections was constructed. Three test scenarios were designed: the existing control system, the new coordinated fixed-time control system, and the adaptive control system with active priority. In the simulation process, detailed travel characteristics of trams and other traffic participants in a selected section were obtained for the three varying scenarios. Electric energy consumption for traction needs and pollutant emissions was then estimated for each of the variants. It was concluded that for the analyzed configuration, implementation of the adaptive priority will result in a reduction of tram time losses by up to 25%, a reduction in energy consumption by up to 23%, and a reduction in the emission of pollutants from individual vehicles by up to 3% in relation to the original variant. The conducted research may be the basis for a comprehensive method of assessing the effectiveness of applying the adaptative priority when designing new tramway lines and modernizing the existing ones.

Study on Dynamic Relationship between Economic Growth and Energy Consumption in Chongqing - Based on 1980-2011 Data

2013 ◽  
Vol 448-453 ◽  
pp. 4319-4324
Author(s):  
Sheng Wang ◽  
Chun Yan Dai ◽  
En Chuang Wang ◽  
Chun Yan Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Energy Demand ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Improve Energy Efficiency ◽  
Dynamic Relationship ◽  
Equilibrium Relationship

Analyzed the dynamic interaction characteristics of Chongqing Economic growth and energy consumption between 1980-2011 based on vector auto regression model, impulse response function. The results showed that: 1 Between the Chongqing's economic growth and energy consumption exist the positive long-term stable equilibrium relationship, Chongqing's economic development depending on energy consumption is too high, to keep the economy in Chongqing's rapid economic development, energy relatively insufficient supply sustainable development must rely on the energy market, which will restrict the development of Chongqing's economy. 2At this stage, Chongqing continuing emphasis on optimizing the industrial structure to improve energy efficiency at the same time, the key is to establish and improve the energy consumption intensity and total energy demand "dual control" under the security system, weakening the energy bottleneck effect on economic growth.

scholarly journals THE USE OF HYBRID VEHICLES AS A PROPOSAL FOR REDUCING CO2 EMISSIONS AND ITS CONTRIBUTION TO REDUCING GREENHOUSE GAS EMISSIONS

2009 ◽  
Vol 8 (1) ◽  
pp. 07
Author(s):  
C. A. R. De Carvalho ◽  
W. Q. Lamas
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Fossil Fuels ◽  
Climate Changes ◽  
New Technologies ◽  
New Technology ◽  
Hybrid Vehicles ◽  
Pollutant Emissions ◽  
Gas Emissions ◽  
Global Concern

The problems related to energy consumption and pollutant emissions for thetransport sector represent a major global concern regarding climate changes caused by greenhouse gases, directly related to the increased level of gas emissions from fossil fuels , the main one being carbon dioxide. One way tominimize this problem is through the introduction of new technologies. Hybrid cars are one of the new technology options that has the main advantage of reducing fuel consumption and therefore reducing the amount of CO2 in the atmosphere. This paper gives an introduction to hybrid vehicles, with the aim of presenting their main advantages and evaluate their impact on emissions of CO2 in the Brazilian fleet, compared to conventional vehicles.

scholarly journals Industry Efficiency and Total Factor Productivity Growth under Resources and Environmental Constraint in China

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Feng Tao ◽  
Ling Li ◽  
X. H. Xia
Keyword(s):  
Energy Consumption ◽  
Total Factor Productivity ◽  
Environmental Efficiency ◽  
Pollutant Emissions ◽  
Productivity Index ◽  
Productivity Change ◽  
Factor Productivity ◽  
Energy And Environment ◽  
Capital Labor Ratio ◽  
Investment Capital

The growth of China's industry has been seriously depending on energy and environment. This paper attempts to apply the directional distance function and the Luenberger productivity index to measure the environmental efficiency, environmental total factor productivity, and its components at the level of subindustry in China over the period from 1999 to 2009 while considering energy consumption and emission of pollutants. This paper also empirically examines the determinants of efficiency and productivity change. The major findings are as follows. Firstly, the main sources of environmental inefficiency of China's industry are the inefficiency of gross industrial output value, the excessive energy consumption, and pollutant emissions. Secondly, the highest growth rate of environmental total factor productivity among the three industrial categories is manufacturing, followed by mining, and production and supply of electricity, gas, and water. Thirdly, foreign direct investment, capital-labor ratio, ownership structure, energy consumption structure, and environmental regulation have varying degrees of effects on the environmental efficiency and environmental total factor productivity.

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