Decomposition analysis of Chinese provincial economic growth through carbon productivity analysis

2013 ◽  
Vol 33 (1) ◽  
pp. 250-255 ◽  
Author(s):  
Ming Meng ◽  
Dongxiao Niu ◽  
Qian Gao
Keyword(s):  
Economic Growth ◽  
Decomposition Analysis ◽  
Productivity Analysis ◽  
Carbon Productivity

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

Decoupling economic growth from carbon dioxide emissions in China: A sectoral factor decomposition analysis

2017 ◽  
Vol 142 ◽  
pp. 3500-3516 ◽  
Author(s):  
Xingrong Zhao ◽  
Xi Zhang ◽  
Ning Li ◽  
Shuai Shao ◽  
Yong Geng
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Decomposition Analysis ◽  
Factor Decomposition

Nexus between Openness to Trade and Economic Growth: An Empirical Investigation of Afghanistan

2019 ◽  
Vol 20 (2) ◽  
pp. 205-223
Author(s):  
Nassir Ul Haq Wani
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Decomposition Analysis ◽  
Developed Countries ◽  
Least Square ◽  
Capital Goods ◽  
Promotion Strategy ◽  
Distributed Lag ◽  
Long Run ◽  
Volume Of Trade

The notion that the international trade is the foundation of economic growth dates long back, and even now, an irresistible body of literature confirms a strong and positive link between trade openness and economic growth. However, most of these studies are focused on developed countries. Indeed literature from developing countries are scant, those from under developed and a landlocked country like Afghanistan are almost non-existent. This article endeavours to innovatively scrutinize the relationship between trade liberalization and economic growth in Afghanistan, using biannual data for the period 1995–2016 and thus evaluates the comparative effect of three different measures of trade openness on the economic growth by using more rigorous econometric techniques. Autoregressive distributed lag (ARDL) method, JJ CO-integration and ordinary least square (OLS) results suggest significant positive long-run relationship between export and economic growth. In contrast, total volume of trade and imports have significant negative effect on the economic growth. The addition of variables and results of fully modified OLS suggest that the results are robust. The Granger causality and variance decomposition analysis indicate the unidirectional causality between trade openness and economic growth. In export model, causality runs from export to growth. Whereas, in the model with total volume of trade and import, causality runs from growth to total volume of trade and imports in Afghanistan. From the findings, it is concluded that the policymakers should focus on export promotion strategy to enhance the economic growth in Afghanistan. Besides, efficient utilization of capital goods should be ensured and reliance on non-capital goods should be less in order to ensure high domestic production in the country. JEL: F10, F43, C22

scholarly journals The log mean divisia index based carbon productivity in the Australian construction industry

2017 ◽  
Vol 17 (3) ◽  
pp. 68-84 ◽  
Author(s):  
Lingfeng Liang ◽  
Xiancun Hu ◽  
Linda Tivendale ◽  
Chunlu Liu
Keyword(s):  
Economic Growth ◽  
Environmental Protection ◽  
Construction Industry ◽  
Energy Intensity ◽  
Value Added ◽  
Influential Factors ◽  
Carbon Intensity ◽  
Divisia Index ◽  
Carbon Productivity ◽  
Regional Adjustment

Environmental protection and economic growth are two indicators of sustainable global development. This study aims to investigate the performance of environmental protection and economic growth by measuring carbon productivity in the construction field. Carbon productivity is the amount of gross domestic product generated by the unit of carbon emissions. The log mean Divisia index method is used to investigate influential factors including carbon intensity, energy intensity and regional adjustment that impact on changes of carbon productivity. The study utilises a range of data from the Australian construction industry during 1995-2004 including energy consumption, industry value added and carbon dioxide equivalent consumption. The research indicates carbon productivity in the Australian construction industry has clearly increased. Energy intensity plays a significant positive role in promoting carbon productivity, whereas carbon intensity and regional adjustment have limited influence. Introducing advanced construction machinery and equipment is a feasible pathway to enhance carbon productivity. The research method is generic and can be used to measure other performance indicators and decomposing them into influential factors.

THE RELATIVE CONTRIBUTIONS OF DOMESTIC AND FOREIGN DIRECT INVESTMENTS AND EXPORTS TO MALAYSIA'S ECONOMIC GROWTH

2015 ◽  
Vol 60 (02) ◽  
pp. 1550011 ◽  
Author(s):  
CHOR FOON TANG ◽  
EU CHYE TAN
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Positive Impact ◽  
Empirical Studies ◽  
Decomposition Analysis ◽  
Variance Decomposition ◽  
Growth Effect ◽  
Foreign Direct Investments ◽  
Causality Test

The objective of this study is to assess the roles of domestic direct investment, foreign direct investment and exports as catalysts of Malaysia's economic growth using cointegration and Granger causality test techniques. To address the dynamics in the growth relationships, the study also performs time-varying regression and variance decomposition analyses. It covers the quarterly sample period from 1991:Q1 to 2010:Q2. The econometric results suggest that all the three variables have a positive impact on economic growth and thus are catalytic to economic growth. However, the growth effect of domestic direct investment is more stable than that of the other two growth determinants. Contrary to earlier empirical studies, the variance decomposition analysis herein reveals that domestic direct investment is the most important determinant of growth in the long-run (L-R) compared to exports and foreign direct investment.

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.

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