Index
Multidimensional Strategic Outlook on Global Competitive Energy Economics and Finance
ISBN: 978-1-80117-899-0, eISBN: 978-1-80117-898-3
Publication date: 18 February 2022
This content is currently only available as a PDF
Citation
(2022), "Index", Dinçer, H. and Yüksel, S. (Ed.) Multidimensional Strategic Outlook on Global Competitive Energy Economics and Finance, Emerald Publishing Limited, Leeds, pp. 179-182. https://doi.org/10.1108/978-1-80117-898-320221020
Publisher
:Emerald Publishing Limited
Copyright © 2022 Hasan Dinçer and Serhat Yüksel. Published under exclusive licence by Emerald Publishing Limited
INDEX
Analytic hierarchy process (AHP)
, 143–144
application with
, 146–148
ARDL
bounds test
, 115–116
model
, 30–31
Asymmetric Granger causality analysis
, 116
Augmented Dickey–Fuller technique (ADF technique)
, 31–32, 121
Bitcoin (BTC)
, 154–155, 165–168
and energy efficiency
, 167–169
mining
, 166–167
nuclear energy efficiency
, 169–171
in nuclear power plants
, 171–172
Bitcoin US Dollar (BTC/USD)
, 156
Blockchain technology
, 167
Brazil, Russia, India, China, South Africa, and Turkey countries (BRICS-T countries)
, 29, 116
Brazil, Russia, India, China and South Africa nations (BRICS nations)
, 28
BRICS-T countries
, 29
data and methodology
, 31–33
energy use
, 33
GCC
, 30
GDP, energy use, and carbon emission
, 31
individual unit roots test
, 34
Johansen cointegration test
, 35
stationary test results
, 34
VECM analysis
, 34, 36
Wald test results
, 37
Brent Petroleum
, 157
Brent Petroleum Spot US Dollar (XBR/USD)
, 156
CADF test
, 119
Canadian economy
, 128
Carbon emission
, 2
Carbon footprint
, 28
CDLM test
, 121
CO2 emission (CO)
, 28, 31–32, 114, 168
CoinMarketCap
, 154
Commercial growth
, 114
Correlation matrix
, 157–158
Covid-19 pandemic
, 154
Crypto assets
, 154–156
Cryptocurrency
, 167–168
CUP-BC estimator
, 120–121
CUP-FM estimator
, 120–121
Current account deficit
, 142–143
Decision making trial and evaluation laboratory (DEMATEL)
, 146
Delta test (Δ test)
, 119
Democratic Republic of Congo (DRC)
, 115
Descriptive statistics
, 157–158
Developed economies
, 28, 101
Direct employment
, 142–143
Disappearing effect
, 76–77
Diversification
, 157–159
Double flash power plants
, 4–5
Ecological Carbon Footprint
, 114–115
Ecological Footprint
, 114–115
Econometric analysis
, 76
Economic growth
, 14, 114, 142
directions on relationship between
, 44
financial capital
, 42
financial market
, 42
impact of financial sector
, 43–47
Keynesian approach
, 43–44
loan capital
, 41
materials and methods
, 14–17
supply-side stimulation
, 42–43
Economy
, 43
impact of financial sector on
, 43–47
Emotional intelligence
, 56–57
Energy
, 1–2, 141–142
efficiency
, 167–169
resources
, 141–142
sector in Turkey
, 59–63
use
, 32–33
Energy investment
, 14, 69, 144–146
analysis of results
, 129
Canadian economy
, 128
directions on relationship between
, 44
financial capital
, 42
financial development and
, 73, 75, 86, 88
financial market
, 42
impact of financial sector
, 43–47
improving monetary regulation
, 130–133
inflation on financial development
, 127–128
inflation rate
, 129–130
Keynesian approach
, 43–44
loan capital
, 41
supply-side stimulation
, 42–43
variables
, 72
Energy-hungry bitcoin
bitcoin
, 154–155
correlation matrix
, 157–158
crypto assets
, 155–156
data
, 156
descriptive statistics
, 157–158
methodology
, 156–157
minimum variance portfolios
, 158–160
variance-covariance matrix
, 157–158
Environmental degradation
, 114
Environmental Kuznets Curve (EKC)
, 28, 114
Environmental pollution
, 28
Error correction (EC)
, 32–33
Financial capital
, 42
Financial depth
, 17
Financial development
, 14, 69, 72, 100
and energy investment
, 73–75
materials and methods
, 14–17
parameters of
, 90
as process of reducing costs
, 17–19
Financial instruments
, 154
Financial market
, 42
Financial science
, 17
Financial sector on economy
, 72–77
Fixed Effect Panel Quantile Bayesian Regression approach
, 29
Fixed nominal interest rates
, 43–47
Flash-steam power plants
, 4–5
“Following demand”
, 42
Fuel-based technologies
, 143
Fuel-free technologies
, 143
G-7 countries
, 114–115
ARDL bounds test
, 115–116
data description
, 116–118
empirical results
, 116
estimation of cointegration coefficients Cup-Fm
, 123
model specification, and methodology
, 116–118
Gen IV technology
, 170–171
Generalized method of moments (GMM)
, 30
Geothermal energy. See also Renewable energy (RE)
, 2
aspects of investments
, 2–7
new perspectives on investments
, 7
German economy
, 128
Gold Spot US Dollar (XAU/USD)
, 156
Granger causality test
, 33
Gross domestic product (GDP)
, 28, 32
Gulf Cooperation Council (GCC)
, 30
Human capital
, 144
Indirect employment
, 142–143
Indonesian economy
, 30–31
Industrialization
, 114
Inflation
, 101–102
tax
, 46–47
Institutional approach
, 19
Intellectual capital
, 144
Interaction function
, 90
Intergovernmental Panel on Climate
, 2–3
“Inverted U”
, 114
Keynesian approach
, 43–44
“Law and Finance” concept
, 18–19
Leadership
, 56–58
existence of emotional intelligence
, 58–59
Less developed zones
, 28
“Low base effect”
, 87
Minimum variance portfolios (MVP)
, 155, 158, 160
Modern portfolio optimization techniques
, 153
Modern Portfolio Theory (MPT)
, 153
Monetary conditions
, 14
Monetary factor thresholds
in developed countries
, 87
economists search
, 87
financial development and energy investment
, 86, 88
government intervention in economy
, 85–86
inflation and monetary factors
, 88–89
level of inflation
, 86
nonlinear impact of financial development
, 89
relationship between growth and finance with
, 89–91
Monetary factors
, 100
Monetary inflation
, 46
Monetary policy
, 14
materials and methods
, 14–17
Monetary regulation
, 130–133
NARDL test
, 116
Nonlinear relationship
evaluation of hypothesis of
, 102–103
financial depth
, 100–101
financial development
, 101
financial sector
, 100
inflation
, 101–102
parameters for evaluation of hypothesis of
, 104–105
Nonlinearity
dimensional expansion
, 71
and energy investment
, 70
energy investment variables
, 72
financial development on economy
, 70
financial sector on economy
, 72–77
mechanism
, 72
nonlinear influence of financial sector
, 71
Nonmonetary inflation
, 45–46
Nonrenewable energy resources
, 5–6
Nonrenewable resources
, 141–142
Nuclear energy
, 167, 169
efficiency
, 169–171
Nuclear power plants (NPPs)
, 167, 171–172
OECD
, 145
Open economies
, 13–14
Panel cointegration approach
, 29–30
Panel data analysis
, 115, 118–120
Panel vector auto-regressive model
, 30
Pooled mean group (PMG)
, 115
Qualified workforce
, 143–144, 146, 149
Quantitative method
, 143–144
Quantitative research method
, 60–61
R&D studies
, 171
Regression analysis methods
, 76, 90–91
Relational screening model
, 60–61
Renewable energy (RE)
, 142, 167
application with AHP method
, 146–148
CI/RI ratio
, 147–148
contribution of
, 142–144
projects
, 2
resources
, 141–142
skilled labor and energy investments
, 144–146
Russian Federation
, 100
Silver Spot US Dollar (XAG/USD)
, 156
Single flash power plants
, 4–5
Skilled labor
, 144–146
Stimulated employment
, 142–143
“Stimulating supply”
, 42
Supply-side stimulation
, 42–43
Survey method
, 60–61
Sustainability
, 114–115, 141–142
Swamy test (S)
, 119
System Interruption Nuclear Vulnerability Index (SINVI)
, 170–171
Technological development
, 4, 7–8
Text mining
, 2, 7
Today’s developing zones
, 28
Turkey, Energy sector in
, 59–63
Turkish economy
, 30–31
Unemployment
, 142
Unit root
, 31–33
Urbanization
, 114
US economy
, 128
Variance-covariance matrix
, 157–158
Vector auto regression model (VAR model)
, 30, 32
Vector error correction model (VECM)
, 32–34, 36
Volatility
, 155, 157, 169
portfolio
, 159–160
Westerlund panel cointegration test
, 121–122
- Prelims
- Chapter 1 Identifying New Perspectives on Geothermal Energy Investments
- Chapter 2 Theoretical Foundations of the Relationship between Energy Investment, Monetary Conditions, Financial Development, and Economic Growth
- Chapter 3 Do Energy Use and Environmental Pollution Cause Income? A Study on the BRICS Nations
- Chapter 4 Relationship between Energy Investment and Economic Growth
- Chapter 5 The Effect of Emotional Intelligence Levels on Leadership: An Application in the Energy Sector
- Chapter 6 Measuring the Nonlinearity of the Relationship between Finance and Energy Investment
- Chapter 7 Method for Assessing the Nature of the Relationship between Energy Investment and Finance with the Criteria of Monetary Factor Thresholds
- Chapter 8 Evaluation of the Hypothesis of Nonlinear Relationship between Finance and Energy Investment
- Chapter 9 The Impacts of Energy Usage and Economic Growth on the Ecological Footprint and CO2 Emissions: The Case of G-7 Countries
- Chapter 10 Assessment of the Nature of the Relationship between Energy Investment and Finance
- Chapter 11 Importance of Renewable Energy Investments for Qualified Workforce
- Chapter 12 Is the Energy-Hungry Bitcoin Beneficial for Portfolio Risk Reduction?
- Chapter 13 Bitcoin Mining with Nuclear Energy
- Index