The impact of sectoral economic development on the energy efficiency and CO2 emissions of road freight transport

2013 ◽  
Vol 27 ◽  
pp. 150-157 ◽  
Author(s):  
Heikki Liimatainen ◽  
Markus Pöllänen
Keyword(s):  
Energy Efficiency ◽  
Economic Development ◽  
Co2 Emissions ◽  
Freight Transport ◽  
Road Freight ◽  
The Impact

scholarly journals Possible Impact of Long and Heavy Vehicles in the United Kingdom—A Commodity Level Approach

2018 ◽  
Vol 10 (8) ◽  
pp. 2754
Author(s):  
Heikki Liimatainen ◽  
Phil Greening ◽  
Pratyush Dadhich ◽  
Anna Keyes
Keyword(s):  
United Kingdom ◽  
Co2 Emissions ◽  
Freight Transport ◽  
Traffic Volume ◽  
Heavy Vehicles ◽  
Transport Costs ◽  
Modal Shift ◽  
The United Kingdom ◽  
Road Freight ◽  
Transport Vehicle

The potential effects of implementing longer and heavier vehicles (LHVs) in road freight transport have been studied in various countries, nationally and internationally, in Europe. These studies have focused on the implementation of LHVs on certain types of commodities and the experience from countries like Finland and Sweden, which have a long tradition of using LHVs, and in which LHVs used for all types of commodities have not been widely utilised. This study aimed to assess the impacts of long and heavy vehicles on various commodities in the United Kingdom based on the Finnish experiences in order to estimate the possible savings in road freight transport vehicle kilometres, costs, and CO2 emissions in the United Kingdom if LHVs would be introduced and used similarly to in Finland in the transport of various commodities. The study shows that the savings of introducing longer and heavier vehicles in the United Kingdom would be 1.5–2.6 billion vehicle kms, £0.7–1.5 billion in transport costs, and 0.35–0.72 Mt in CO2 emissions. These findings are well in line with previous findings in other countries. The results confirm that considerable savings in traffic volume and emissions can be achieved and the savings are very likely to outweigh possible effects of modal shift from rail to road.

scholarly journals Key Factors Influencing the Achievement of Climate Neutrality Targets in the Manufacturing Industry: LMDI Decomposition Analysis

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8006
Author(s):  
Kristiāna Dolge ◽  
Dagnija Blumberga
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Manufacturing Industry ◽  
Decomposition Analysis ◽  
Clean Energy ◽  
Industrial Activity ◽  
Intensity Effect ◽  
Wood Processing ◽  
Activity Effect ◽  
The Impact

The manufacturing industry is often caught in the sustainability dilemma between economic growth targets and climate action plans. In this study, a Log-Mean Divisia Index (LMDI) decomposition analysis is applied to investigate how the amount of industrial energy-related CO2 emissions in Latvia has changed in the period from 1995 to 2019. The change in aggregate energy-related CO2 emissions in manufacturing industries is measured by five different factors: the industrial activity effect, structural change effect, energy intensity effect, fuel mix effect, and emission intensity effect. The decomposition analysis results showed that while there has been significant improvement in energy efficiency and decarbonization measures in industry, in recent years, the impact of the improvements has been largely offset by increased industrial activity in energy-intensive sectors such as wood processing and non-metallic mineral production. The results show that energy efficiency measures in industry contribute most to reducing carbon emissions. In the future, additional policies are needed to accelerate the deployment of clean energy and energy efficiency technologies.

scholarly journals Pembangunan Ekonomi, Industrialisasi, dan Degradasi Lingkungan Hidup di Indonesia Tahun 1967-2013: Enviromental Kuznet Curve Model

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Andi Kurniawan
Keyword(s):  
Economic Development ◽  
Error Correction ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Environmental Damage ◽  
Kuznets Curve ◽  
Short Term ◽  
Error Correction Mechanism ◽  
The Impact

Penelitian ini bertujuan mengidentifikasi dampak pembangunan ekonomi dan proses industrialisasi terhadap Degradasi lingkungan di Indonesia baik dalam jangka panjang maupun jangka pendek. Untuk melihat pengaruh pembangunan ekonomi dan industrialisasi terhadap penurunan kualitas lingkungan di Indonesia, penelitian ini menggunakan model Enviromental Kuznet Curve (EKC) dan dengan model Error Correction Mechanism (ECM). Hasil penelitian menjelaskan bahwa dalam jangka panjang peningkatan pendapatan masyarakat dan industrilasasi berpengaruh positif  secara linier terhadap peningkatan emisi C02 dan pada tingkat pendapatan tertentu terjadi proses perbaikan lingkungan yang ditandai dengan penurunan emisi CO2. Namun dalam jangka pendek hanya industrialisasi yeng membrikan pengaruh pada peningkatan emisi CO2. Diharapkan adanya konsesus bersama antara pemerintah dan pelaku usaha (industri) dalam mengurangi dampak pencemaran serta adanya peningkatan kesadaran masyakat dalam membantu mengurangi kerusakan lingkungan hidup.   Abstract This study aims to identify the impact of economic development and industrialization to  the environmental degradation in Indonesia, both in the long term and short term. To see the effect of economic development and industrialization to the environmental degradation in Indonesia, this research was  used Environmental Kuznets Curve (EKC) model and the model of  Error Correction Mechanism (ECM). The results of the study explain that in the long term, improvement of people's income and industrialization have positive effect linearly with the increase in C02 emissions and at a certain income level there is a process improvement environment characterized by a decrease in CO2 emissions. But in the short term only industrialization which influence on the increase of CO2 emissions Expected that the consensus between the government and businesses (industri) in reducing the impact of pollution and the increased awareness of society in helping to reduce environmental damage.    

Measurement of CO2 emissions from road freight transport: A review of UK experience

Energy Policy ◽  
2009 ◽  
Vol 37 (10) ◽  
pp. 3733-3742 ◽  
Author(s):  
A.C. McKinnon ◽  
M.I. Piecyk
Keyword(s):  
Co2 Emissions ◽  
Freight Transport ◽  
Road Freight

scholarly journals Energy Price and Energy Efficiency in China: A Linear and Nonlinear Empirical Investigation

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4068 ◽  
Author(s):  
Peng Hou ◽  
Yilin Li ◽  
Yong Tan ◽  
Yuanjie Hou
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Energy Efficiency ◽  
Economic Development ◽  
Energy Price ◽  
Effect Analysis ◽  
Economic Growth Rate ◽  
Development Level ◽  
Linear And Nonlinear ◽  
The Impact

The empirical conclusions regarding the relationship between energy price and energy efficiency are relatively mixed. This paper systematically examines the influence of energy price on energy efficiency in China based on data from 30 provinces between 2003 and 2017, using linear and nonlinear effect analysis. We found that the impact of energy price on energy efficiency in China was positive in general. However, there existed heterogeneous effects of energy price on energy efficiency in various regions, and the effect differed with differences in energy efficiency levels based on the panel quantile regression analysis. Finally, the nonlinear effect analysis based on the panel threshold model indicated that the effect of energy price on energy efficiency increased with the rise of the environmental regulation level and economic growth rate, while it decreased with the ascent of the degree of energy price distortion and economic development level. In particular, when the value of a region’s economic development level and economic growth rate was within a certain range, the impact was not statistically significant. Overall, these findings contribute to a deeper understanding regarding the effect of energy price on energy efficiency in China.

The Scenario Forecasting Analysis of CO2 Emissions of China

2013 ◽  
Vol 869-870 ◽  
pp. 836-839
Author(s):  
Jian Jun Wang ◽  
Li Li
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Future Prospect ◽  
Ghg Emissions ◽  
The Future ◽  
Forecasting Analysis ◽  
The Impact

This paper uses STRIPAT models to find the impact of population, economy and technology on CO2 emissions of China. The result shows the impact of population, economy and technology on CO2 emissions are 1.253, 1.076, and 1.077 respectively. According to the future prospect of China, three scenarios of Chinas economic development are given to forecast the CO2 emissions, the forecasting results shows that if Chinas economic, population and energy consumption is increasing 7%, 0.4%, 5% every year, respectively. CO2 emissions will reach 21.05×108t in 2020. The CO2 emissions per unit GDP is decreasing by 45.54% in 2020 compared to 2005, which can fulfill the Chinese governments promise to decrease the GHG emissions per unit GDP by 40-45% in 2020 compared to 2005.

Road freight energy efficiency and CO2 emissions in the Nordic countries

2014 ◽  
Vol 12 ◽  
pp. 11-19 ◽  
Author(s):  
Heikki Liimatainen ◽  
Niklas Arvidsson ◽  
Inger Beate Hovi ◽  
Thomas Christian Jensen ◽  
Lasse Nykänen
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Nordic Countries ◽  
Road Freight
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