Umer Jeelanie Banday and Ranjan Aneja
The purpose of this paper is to find out the relationship between energy consumption, economic growth and CO2 emissions for the G7 countries over the period 1971–2014. The second…
Abstract
Purpose
The purpose of this paper is to find out the relationship between energy consumption, economic growth and CO2 emissions for the G7 countries over the period 1971–2014. The second intent of the paper is to make a comparison whether it is renewable energy consumption, non-renewable energy consumption, or both that determine sustainable economic growth in G7 countries.
Design/methodology/approach
The authors testify the relationship among energy consumption, economic growth and CO2 emissions using numerous econometric techniques. The authors have applied pooled mean group autoregressive distribution model (ARDL) for long-run and short-run relationships for individual countries. Finally, the authors have applied Granger causality testing based on Dumitrescu and Hurlin (2012) and Emirmahmutoglu and Kose’s (2011) approach in order to check the causal relationship between energy consumption and economic growth, CO2 emission and economic growth and vice versa.
Findings
However, energy usage is a greater concern due to the increase in imported energy prices. With this preposition, new thinking needs to be carried out for energy usage and sustainable economic growth. The authors consider cross-sectional reliance and cross-country heterogeneity for seven developed countries. The tests utilized in this investigation include the bootstrap causality approach of Dumitrescu and Hurlin (2012) and LA–VAR approach of Toda and Yamamoto (1995) that permits testing the causality for every individual panel individuals independently. However, not very many empirical works bring these two separate streams of writing together to analyze the causal connections between energy consumption, economic growth and CO2 emission for G7 countries.
Originality/value
However, energy usage is a greater concern due to the increase in imported energy prices. Meanwhile, the exhaustive use of fossil fuels increases emission level which leads to climate change, global warming, reduction in agriculture productivity and danger to human life. With this preposition, new thinking needs to be carried out for energy usage and sustainable economic growth. There are limited number of studies addressing energy consumption, economic growth and CO2 emission relationship. This study employs different methodology to find out the relationship among the variables.
Details
Keywords
Umer Jeelanie Banday and Ranjan Aneja
The purpose of this study is to find the causal relationship among energy consumption (renewable energy and non-renewable energy), gross domestic product (GDP) growth and carbon…
Abstract
Purpose
The purpose of this study is to find the causal relationship among energy consumption (renewable energy and non-renewable energy), gross domestic product (GDP) growth and carbon dioxide (CO2) emission for Brazil, Russia, India, China and South Africa for the period of 1990-2017.
Design/methodology/approach
The study uses bootstrap Dumitrescu and Hurlin panel causality test, which accepts heterogeneity and dependency in cross-sectional units across emerging countries.
Findings
The results find unidirectional causality from GDP to CO2 for India, China, Brazil, South Africa and no causality for Russia. The causality results from renewable energy consumption to GDP show that there is evidence of feedback hypothesis for China and Brazil, growth hypothesis for Russia, conservation hypothesis for South Africa and neutrality hypothesis for India. However, the results accept growth hypothesis for India, China, Russia, Brazil and neutrality hypothesis for South Africa. In the case of renewable energy and non-renewable energy consumption to CO2 emission, the results find convergence in India, Russia and South Africa and divergence in China and Brazil.
Originality/value
It is the first study that investigates the part of balanced economic growth, instead of simply financial development in those economies. Numerous studies have used diverse factors such as economic development, renewable energy, non-renewable energy and CO2 emission; however, the examination has used total GDP growth rate, energy consumption and CO2 emissions.
Details
Keywords
Poonam Sharma, Sanjeev Gupta, Ranjan Aneja and Shradha Attri
The present paper aims to conduct a comprehensive scientific mapping of exchange rate forecasting, highlighting trends, developments, and methodological changes. This will provide…
Abstract
Purpose
The present paper aims to conduct a comprehensive scientific mapping of exchange rate forecasting, highlighting trends, developments, and methodological changes. This will provide research scholars, researchers, and policymakers valuable insights to facilitate predictions.
Design/methodology/approach
The researchers performed a bibliometric analysis of exchange rate forecasting using a scientific search method on the Scopus database from 1991 to 2022. They applied a web interface program called Biblioshiny, part of the Bibliometric package built in R by Aria and Cuccurullo (2017). VOSviewer was used to identify the most influential journals, authors, countries, articles, citations, and co-citations from 1,602 documents.
Findings
The conceptual and intellectual framework of the papers under review provided an in-depth and comprehensive analysis of the domain. The research outcomes provided essential information on the subject matter, highlighting the need for further investigation. The study’s findings demonstrate the evolution of the theory of forecasting exchange rates reflecting continuous developments in the methodologies applied to forecast the exchange rates.
Research limitations/implications
The scientific mapping of the present study’s bibliometric analysis is limited to the Scopus database because of its comprehensive coverage of high-quality journals and predefined structures compatible with Bibliometrix software.
Practical implications
The study provides considerable insight into forecasting exchange rates and their interlinkages. By outlining the social and intellectual structure of the field, it directs upcoming scholars about the relevant topics, contexts and potential collaborations emerging in this field. The study also reveals the critical concerns in the area and leads to potential research opportunities.
Social implications
The study sheds light on emerging trends and approaches to forecasting exchange rates and will provide valuable information and insights to policymakers, economists, investors and decision-makers in the financial sector. It will contribute to prioritising research in overlooked areas and support the formulation of effective policies.
Originality/value
This study contributes significantly by bringing together disparate literature on exchange rate forecasting, highlighting important journals, authors and documents, and examining the recent studies on the foreign exchange rate.
Details
Keywords
Guda Sridhar and Debiprasad Mishra
The purpose of this paper is to demonstrate the rationale and method for studying product adaptation in rural markets.
Abstract
Purpose
The purpose of this paper is to demonstrate the rationale and method for studying product adaptation in rural markets.
Design/methodology/approach
The paper takes the form of an exploratory design that includes; review of literature, pilot study, and survey method.
Findings
Findings of the study are contrary to the general understanding that rural is perceived very differently and hence operationalised differently by different organisation. However, results indicate that contingency theory holds true in case of product adaptation in rural markets also. With the increase in executives' representation of rurality, product adaptation degree also increased.
Originality/value
This is probably the first academic study on product adaptation in rural markets to the best of our knowledge. The study attempted to contextualise product adaptation construct from international marketing to rural marketing domain.