scholarly journals Factorizing the Changes in CO2 Emissions from Indian Road Passenger Transport: A Decomposition Analysis

2016 ◽  
Vol 11 (3) ◽  
pp. 67-83 ◽  
Author(s):  
Monika Gupta ◽  
Sanjay Singh
Keyword(s):  
Economic Growth ◽  
Energy Intensity ◽  
Policy Design ◽  
Decomposition Analysis ◽  
Emission Coefficient ◽  
Passenger Transport ◽  
Transport Activity ◽  
Positive Role ◽  
Negative Role ◽  
Major Factors

AbstractThe main aim of this paper is to analyse the role of different factors responsible for CO2 emission from Indian road passenger transport with the help of Logarithmic Mean Divisia Index over the period of 1971-2011. CO2 emission increase is decomposed into five major factors - emission coefficient, transport energy intensity, transport activity, economic growth, and population. Findings suggest that economic growth, transport activity and population have a significant positive role in increasing CO2 emission from road passenger transport, whereas energy intensity plays a negative role in CO2 emission increase. Emission coefficient has also a negative role in CO2 emission increase during all the periods except during 1971-81. Therefore, emission coefficient and energy intensity are the two most important factors for policy design and implementation to reduce CO2 emission from the sector.

Decoupling and decomposition analysis of carbon emissions from economic output in Chinese Guangdong Province: A sector perspective

2018 ◽  
Vol 29 (4) ◽  
pp. 543-555 ◽  
Author(s):  
Ming-Ming Zhao ◽  
Rongrong Li
Keyword(s):  
Economic Growth ◽  
Carbon Emission ◽  
Agricultural Sector ◽  
Decomposition Analysis ◽  
Guangdong Province ◽  
Energy Structure ◽  
Carbon Reduction ◽  
Economic Output ◽  
New Strategy ◽  
Major Factors

South China’s Guangdong Province, the Chinese largest provincial economy and the global 14th biggest economy, has been facing a huge challenge of achieving economic growth without emission growth. Developing new strategy for making economic growth compatible carbon reduction requires better understanding of the decoupling carbon emission from economic growth. In this paper, we conduct a comprehensive decoupling and decomposition analysis of carbon emission from economic output in Guangdong Province from a sector perspective. We firstly calculate carbon emission in six sectors based on the energy consumption of each sector and carbon coefficient of 13 types of fuels during 2000–2014, and then quantify the decoupling status between CO2 emissions and economic growth in those six sectors by using the Tapio decoupling index, finally, investigate the influencing factors of emissions by using the decomposition techniques. The modeling results show that agricultural sector has strong decoupling, industrial, transport and others sectors are weak decoupling; construction and trade sectors are expansive negative decoupling. We also find that energy intensity and economic output are the major factors influencing carbon emission, also the effects of energy structure and emission factor among six sectors are studied. Some policy recommendations finally are put forward.

scholarly journals Financial Integration and Economic Growth: Empirical Evidence from the Republic of Georgia

2019 ◽  
Vol 8 (2) ◽  
pp. 232
Author(s):  
Zaur Phutkaradze ◽  
Asie Tsintsadze ◽  
Beka Phutkaradze
Keyword(s):  
Economic Growth ◽  
Financial Integration ◽  
Time Series Data ◽  
Series Data ◽  
Republic Of Georgia ◽  
Positive Role ◽  
International Financial Integration ◽  
Negative Role ◽  
The Republic ◽  
Log Linear

Despite the vast amount of research studies, there is no clear and unambiguous opinion among economists on how the international financial integration (IFI) affects economic growth. This paper attempts to investigate the relationship between financial integration and economic growth in the Republic of Georgia. The study employs a log-linear equation for economic growth and covers the time-series data over the period of 1995–2016. OLS estimations do not provide statistically significant evidence for IFI-growth relationship. However, although the significance of this linkage is not apparent, it is important to highlight the main tendency – financial integration plays a positive role when the country has a relatively stable currency and negative role during the period of significant currency fluctuations. Outcomes of the study are consistent with our theory and support prior researches in this area.Keywords: Financial integration; economic growth; empirical model  

scholarly journals What Influences the Cross-Border Air Pollutant Transfer in China–United States Trade: A Comparative Analysis Using the Extended IO-SDA Method

2019 ◽  
Vol 11 (22) ◽  
pp. 6252 ◽  
Author(s):  
Shichun Xu ◽  
Chang Gao ◽  
Yunfan Li ◽  
Xiaoxue Ma ◽  
Yifeng Zhou ◽  
...  
Keyword(s):  
Energy Intensity ◽  
Scale Effects ◽  
Decomposition Analysis ◽  
Air Pollutant ◽  
Emission Coefficient ◽  
Structural Decomposition Analysis ◽  
Export Structure ◽  
Cross Border ◽  
The Us ◽  
Pollutant Transfer

This paper extends the IO-SDA (input–output and structural decomposition analysis) method to decompose the CBAPT (cross-border air pollutant transfer) into different effects, and reveals the status of CBAPT and analyzes influencing factors affecting the CBAPT in China–US trade by comparing China with the US in these factors. This study found that China was a net air pollutant exporter, and this indicates the air pollutants were transferred from the US into China through China–US trade. On the whole, the China energy intensity, China emission coefficient, and import scale effects decreased the CBAPT, whereas the export scale and US emission coefficient effects increased the CBAPT; the influences of export structure, US energy intensity, and import structure on CBAPT were uncertain. The sectoral distribution of effects on the CBAPT in China–US trade was unbalanced, which was mainly concentrated in heavy industry and transportation. The China energy intensity, China emission coefficient, and import scale effects inhibited sectoral CBAPT, and the export scale effect promoted this sectoral transfer. Other effects on the sectoral transfer were negligible. This paper provides some policy suggestions based on empirical results.

How Does Public Debt Affect the Indian Macroeconomy? A Structural VAR Approach

2020 ◽  
Vol 14 (3) ◽  
pp. 253-284
Author(s):  
Ranjan Kumar Mohanty ◽  
Sidheswar Panda
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Public Debt ◽  
Positive Impact ◽  
Decomposition Analysis ◽  
Structural Var ◽  
Adverse Impact ◽  
Mixed Effect ◽  
Domestic Debt ◽  
The Impact

The study investigates the macroeconomic effects of public debt in India during 1980–2017 using a structural vector autoregression framework. The objective is to examine the impact of public debt on the interest rate, investment, inflation and economic growth in India. The results of the impulse response functions show that public debt has an adverse impact on economic growth but a positive impact on the long-term interest rate in the short run and a mixed effect (both negative and positive) on investment and inflation. We also find that domestic debt has a more adverse impact on the economy than external debt. The estimated variance decomposition analysis finds that much of the variation in selected macro variables are explained by public debt and growth in India. This study suggests that public debt especially domestic debt should be controlled and channelled productively to have a favourable impact on the economy. JEL Classification: H63, O40, C40

scholarly journals Threshold Effect of Economic Growth on Energy Intensity—Evidence from 21 Developed Countries

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4199
Author(s):  
Jinjin Zhou ◽  
Zenglin Ma ◽  
Taoyuan Wei ◽  
Chang Li
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Urban Population ◽  
Energy Intensity ◽  
Developed Countries ◽  
Renewable Energy Consumption ◽  
Tertiary Industry ◽  
D Investment ◽  
Threshold Point

Based on threshold regression models, this paper analyzes the effect of economic growth on energy intensity by using panel data from 21 developed countries from 1996 to 2015. Results show that a 1% increase in GDP per capita can lead to a 0.62–0.78% reduction in energy intensity, implying economic growth can significantly reduce energy intensity. The extent of the reduction in energy intensity varies depending on the economic development stages represented by key influencing factors including energy mix in consumption, urbanization, industrial structure, and technological progress. Specifically, the reduction in energy intensity due to economic growth can be enhanced with relatively more renewable energy consumption and more urban population until a threshold point, where the enhancement disappears. On the other hand, the extent of the energy intensity reduction due to economic growth can be weakened with relatively more tertiary industry activities and more research and development (R&D) investment in an economy until a threshold point, where the weakening cannot continue. However, compared to the early stages represented by the low ends of renewable energy consumption, urban population, tertiary industry activities, and R&D investment, the later stages represented by the high ends of these key factors after a threshold show the weakened effect of economic growth on the decline of energy intensity. Hence, when an economy is well-developed, policy makers are advised to put fewer expectations on the role of economic growth to reduce energy intensity, while pursuing relatively cleaner energy, greater urbanization, more tertiary industry activities, and advanced technologies.

China’s shadow banking sector: beneficial or harmful to economic growth?

2015 ◽  
Vol 7 (4) ◽  
pp. 421-445 ◽  
Author(s):  
James R. Barth ◽  
Tong Li ◽  
Wen Shi ◽  
Pei Xu
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Commercial Banking ◽  
Global Perspective ◽  
Shadow Banking ◽  
Content Type ◽  
Wide Range ◽  
Recent Developments ◽  
Major Factors ◽  
Made In

Purpose – The purpose of this paper is to examine recent developments pertaining to China’s shadow banking sector. Shadow banking has the potential not only to be a beneficial contributor to continued economic growth, but also to contribute to systematic instability if not properly monitored and regulated. An assessment is made in this paper as to whether shadow banking is beneficial or harmful to China’s economic growth. Design/methodology/approach – The authors start with providing an overview of shadow banking from a global perspective, with information on its recent growth and importance in selected countries. The authors then focus directly on China’s shadow banking sector, with information on the various entities and activities that comprise the sector. Specifically, the authors examine the interconnections between shadow banking and regular banking in China and the growth in shadow banking to overall economic growth, the growth in the money supply and the growth in commercial bank assets. Findings – Despite the wide range in the estimates, the trend in the size of shadow banking in China has been upward over the examined period. There are significant interconnections between the shadow banking sector and the commercial banking sector. Low deposit rate and high reserve requirement ratios have been the major factors driving its growth. Shadow banking has been a contributor, along with money growth, to economic growth. Practical implications – The authors argue that shadow banking may prove useful by diversifying China’s financial sector and providing greater investments and savings opportunities to consumers and businesses throughout the country, if the risks of shadow banking are adequately monitored and controlled. Originality/value – To the authors’ knowledge, this paper is among the few to systematically evaluate the influence of shadow banking on China’s economic growth.

Decomposition analysis of the change of energy intensity of manufacturing industries in Thailand

Energy ◽  
2014 ◽  
Vol 77 ◽  
pp. 171-182 ◽  
Author(s):  
Jaruwan Chontanawat ◽  
Paitoon Wiboonchutikula ◽  
Atinat Buddhivanich
Keyword(s):  
Energy Intensity ◽  
Decomposition Analysis ◽  
Manufacturing Industries
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