Gross Fixed Capital Formation Research Articles

The Effect of Capital Market on Industrial Development of Nigeria

The study examined the effect of capital market on industrial development in Nigeria for the period of 33 years spanning from 1990-2022. The independent variable employed in study are; market capitalization (MCAP), Industrial loan (INDL), Total volume (TV) and GFCF (Gross fixed capital formation), and industrial development proxy Industrial Output (INDOPT). Data were collected from the CBN Statistical Bulletin and World Bank data for 1990-2022. Data set was described using descriptive statistics, correlation analysis ARDL with the help of E-VIEW version 9.0. The study concluded that MCAP, TV have significant relationship with INDOPT both on the short & long run respectively, meanwhile GFCF has significant relationship with INDOPT only on the long run. The study thereby recommends that positive impact of total volumes calls for proper policies to be implemented so as to attract more investors to invest in the market. There is also need to relax some stringent registration and operating procedures to enable more people and organizations to participate in the market. There is also need to institute policies that will further increase the value of market transaction in the market.

Capital Market and Economic Growth in Nigeria

In spite of its expected role of bridging the saving and investment gap for economic growth, the impact of the Nigerian capital market on the growth of the economy remains unclear. This study looked at the influence of the capital market on economic growth in Nigeria between 1981 and 2022, using vector autoregressive (VAR) analysis. The variables used included: real gross domestic product (RGDP), market capitalization (MCAP), total value of securities traded (TVST), and gross fixed capital formation (GFCF). The study concluded that while RGDP and MCAP influenced their own outcome as well as the outcome of other variables positively in both the short and long run, TVST and GFCF influenced their own outcome as well as the outcome of other variables negatively in both the short and long run, using the VAR system tools of impulse response function and forecast error variance decomposition. Based on the findings of this study, we recommended among others the urgent need to boost the perception of local firms listed in the Nigerian stock exchange both locally and internationally in terms of the total value of their corporate assets and performance measured by price-to-earnings, price-to-sales and return-on-equity metrics. This can be improved upon when these firms are able to increase the quality of their products and services thereby making them better competitors in the global space.

Green Energy Pathways Towards Carbon Neutrality

AbstractTrying to reach carbon neutrality is by no means plain sailing in times of energy crisis, price volatility, and war. The European Green Deal (EGD) prioritizes green pathways, but it is not enough when it copes with greenhouse gases (GHGs). The present research utilizes the Malmquist–Luenberger productivity index (MLPI) to estimate advancements in total factor productivity (TFP) in the European Union (EU). The study uses panel data from 1995 to 2019, in addition, there is comparison between two periods: 1995 – 1996 and 2018 – 2019, would provide important information about TFP progress or recession during a turbulent European era. Two MLPI models are applied, one that utilizes only non-renewable energy sources (NRES), while the other adopts renewable energy sources (RES). Encompassing inputs such as: electricity generation, labour force, and gross fixed capital formation (GFCF); desirable output: gross domestic product; and undesirable outputs: carbon dioxide (CO2) and methane (CH4). There is average productivity progress, more specifically the MLPI average productivity for NRES and RES is 2.14% and 7.34% respectively, meaning that the RES adoption leads to greater productivity performance by almost three times. This novel analysis might offer useful and practical information to policymakers through the measuring of TFP in order to effectively attain and accomplish carbon neutrality objectives.

The Relationship between Electricity Consumption and Economic Growth in BRICS Countries

This study analyzed the Gross Domestic Product (GDP) determinants in Brazil, Russia, India, China, and South Africa (BRICS). The method used in this study is a Fully Modified Ordinary Least Square (FMOLS) panel that can overcome the problem of non-stationary panels and the effect of heterogeneity between countries. The analysis range of this study is from 1992 to 2021, with three independent variables, namely electrical energy consumption, labor force, and gross fixed capital formation (GFCF) or investment. The results showed a significant favorable influence on energy consumption, labor force, and investment in GDP in BRICS countries from 1992-2021. This research resulted in a review of one of the policy recommendations to improve the economy in BRICS countries.

Foreign Direct Investment and Economic Growth in Nigeria: A Revisit

This study examined the impact of foreign direct investment (FDI) on economic growth in Nigeria from 1981 to 2022. Real gross domestic product growth rate (RGDPGR) was the proxy for economic growth while foreign direct investment (FDI), gross fixed capital formation (GFCF), per capita income (PCI) and exchange rate (EXR) were the explanatory variables. The study employed the autoregressive distributed lag (ARDL) technique to estimate the model, while the eclectic paradigm and endogenous growth theory served as the theoretical framework for the study. The results revealed that in the long run, foreign direct investment, per capita income and exchange rate were positive but statistically insignificant to economic growth in Nigeria, while gross fixed capital formation was insignificant. However, in the short, GFCF had significant negative impact on economic growth in the second lagged year showing that a unit increase in GFCF decreased RGDPGR by approximately 10.21% while per capita income impacted positively on the growth of the Nigerian economy. Consequently, the study recommended that as a signal of market size for the inflow of FDI and particularly as a signal of human capital development, the government should increase her investment in human capital development focusing on technical skills relevant in manufacturing and service sectors to engender growth in per capita income to attract FDI and economic growth in Nigeria.

Revisiting natural resources and financial development nexus in China under the lens of time‐frequency approach

AbstractExamining the relationship between natural resources and financial development (FD) has been a crucial research area for several years. This study examines the time‐ and frequency‐varying influence of natural resources on FD in China under the “resource curse” concept. In contrast to previous studies, additional economic factors such as economic policy uncertainty (EPU), technological innovation, gross fixed capital formation (GFCF), and government stability (GS) are also considered in the model. Wavelet approaches were used to examine the time‐ and frequency‐based nexus among the variables, covering the period from 1995 to 2021. The outcomes indicate an adverse impact of natural resources on FD in long‐term frequencies during the analyzed period, confirming the “resources curse” in China. The other variables, including technological innovation, gross fixed capital formation, and government stability, are positively linked, while EPU is negatively linked to FD. The policy implications of this study highlight the need for effective resource management, amplifying technological innovation, and efficient governments to spur FD in China.

Impact of Public Domestic Borrowing on Private Sector Investments in Kenya

In recent there has been rapid increase in uptake of domestic debt by the government of Kenya. The purpose of this study was to establish the Impact of Public Domestic Debt on Private Investments in Kenya. The independent variable was public domestic debt while the dependent variable was private investment. Secondary data on Public domestic debt data and private investment was collected from Central Bank of Kenya. The secondary data was for the periods 1999 to 2021. Private investment was operationalised using Gross fixed capital formation (GFCF) and the study applied Autoregressive distributed lag (ARDL) econometric model. The study found out that the long-term analysis indicated sustained public domestic borrowing had a negative influence on GFCF, revealing a crowding-out effect. This implied that over time, persistent government debt led to reduced private sector investment.

Foreign aids and human capital development in Nigeria

Government efforts towards the development of human capital in Nigeria from government budgetary allocations have not yielded the desired result. This study therefore examined the impact of foreign aids on human capital development in Nigeria from 1985 to 2022. The variables of the study consist of human capital development (HCD), foreign aids (AIDS), gross fixed capital formation (GFCF), literacy rate (LITERACY), exchange rate (EXCHR) and inflation rate (INFLA). These variables were sourced from the Central Bank of Nigeria (CBN) Statistical Bulletin and the National Bureau of Statistics (NBS). The analytical technique of this study was the error correction model (ECM). The key findings show that foreign aids has a positive but insignificant impact on human capital development in Nigeria. Also, there is unidirectional causality relationship between foreign aids and human capital development in Nigeria. The study recommended that the Nigerian government should optimize the use of aids funds by adequately monitoring and supervising how aid funds are being utilized in the health and education sectors.

G20 Economic Growth Analysis Using VECM

This study analyzes the effect of Gross Fixed Capital Formation (GFCF), Imports, Exports, and Government Expenditure of selected G20 member countries on Gross Domestic Product (GDP) using historical data from 1981 to 2021. The detailed analysis aims to explore the relationship between short-term and long-term causality that begins with examining and testing the degree of integration, Unit Root Test, Johansen cointegration test, and causality test. The Vector Error Correction Model (VECM) test results with a 95% confidence interval show that Gross Fixed Capital Formation causes Australia’s and South Africa’s long-term GDPs to have reached a balance point. In addition, Government Spending also causes the European Union’s Gross Domestic Product to achieve a balance point. Imports affect the GDP of the United States, China, and South Africa towards a balance point, and exports affect the GDP of Australia, China, and South Africa. The test results using VECM also conclude that GDP, GFCF, exports, and imports affect GDP growth in the short term. However, on the contrary, on the Australian continent, only GDP, GFCF, and imports which in the previous year had an impact on Australia’s GDP in the short term—concluded that differences in government policies in each country in regulating the economy could affect the causal relationship between the independent variable and GDP in the short and long term.

Long-term relationship between investment and economic growth: a cointegration analysis of OECD countries

This article investigates the impact of domestic investments on economic growth in OECD countries from 2000 to 2020. It identifies factors affecting economic growth and analyzes the relationship between domestic investments and economic growth using econometric models. Empirical data from the World Bank, IMF, and OECD reports supports the positive impact of domestic investments on economic growth in OECD countries. The study also finds a long-term causality between GDP and Gross Fixed Capital Formation (GFCF). These findings offer valuable insights into investment dynamics and their effects on economic growth, informing governments and policymakers in OECD countries.

Governmental Investments statistic and tourism at the Balkans

The Balkan region has proved to be a controversial territory. Through a long history and many controversies, the area rose to a popular destination. Common and uncommon elements make it a unique destination. Tourism has provided a sustainable source of revenue, as in every destination. Public investments are an important element of every activity to flourish and to bring private investments. Through public investments in infrastructure, superstructure, and education, we can provide a better tourist experience. In our paper, we discuss 5 countries of the region, Greece, Serbia, Bulgaria, Montenegro, and the Republic of North Macedonia. All of these destinations drew the attention of other countries and investment institutions like China and Russia. To take a look at public investments and tourism development, we compare core national accounts like the Gross Domestic Product (G.D.P.), Gross Capital Formation (G.C.F.), Gross Fixed Capital Formation (G.F.C.F.), and the inbound tourism at under investigation countries. Data indicate that there was a slowdown in each country’s economy during COVID-19 but then the production increased (Gross Domestic Product (GDP)). The Gross Capital Formation (G.C.F.) has a stable rate for the first years and then increases for each country. Data for the Gross Capital Formation (G.C.F.) for the tourism industry exist only for Bulgaria and show a decrease and a negative Gross Capital Formation (G.C.F.) indication that assets must have been sold. Data for the Gross Capital Formation (G.C.F.) for the transport equipment and total construction have fluctuations without extreme increases or decreases, showing a stable rate of asset accumulation. The findings from the research conclude that till COVID-19 all the economies had a stable rate of growth, and the decrease in tourism activity had a small impact on the decrease of Gross Domestic Product (GDP), except Bulgaria all the other economies slowed down during COVID era, Gross Fixed Capital Formation (G.F.C.F.) for Montenegro and North Macedonia remained stable for the period under study in contrast of the rest countries that were exhibiting a rise from time to time, the general Gross Capital Formation (G.C.F.) accounts always indicate growth in contrast to sectional accounts as they the total accumulated investments or production. Finally, there is insufficient data for the Gross Fixed Capital Formation (G.F.C.F.) for hospitality and tourism which does not allow the researchers to make any assumption with robust data for either the investments or the capital that occurred in other to be invested in the future.

Time Series Analysis of the Foreign Direct Investment in Nepal: Economics Perspective

The main aim of this paper is to identify the major economic determinants of foreign direct investment in Nepal. In doing so, the Johansen-Juselius (JJ) cointegration approach as well as vector error correction model are implemented to identify the relationship among the macro variables. The empirical results revealed that all the variables are stationary at first difference and the evidence of cointegrating vector is obvious based on the JJ cointegration results. In addition, it is found that there is a long run relationship among the variables based on the coefficient of Error Correction Term (ECT). The long run coefficients show that Trade, GDP, exchange rate, and interest rate have a positive impact on FDI in Nepal, while, gross fixed capital formation (GFCF) and inflation (CPI) have a negative impact. Finally, in the short run, only one lag of FDI is affecting FDI. These results suggest that the inward FDI tends to incorporate information from the macroeconomic variables.

An examination of economic growth determined by foreign direct investment and the institutional environment: a subnational perspective

PurposeThe purpose of this paper is to analyse the relationship between foreign direct investment (FDI) inflows and economic growth with a special focus on the institutional environment at the state level. FDI-led economic growth and economic growth-led FDI have two dominant theoretical foundations, but empirical research supports contradictory findings. These perspectives largely ignore the institutional environment, assuming institutions to be background information.Design/methodology/approachTo examine the causal relationship between FDI, the Granger causality method has been used. The impact of FDI inflows and other institutional factors on economic growth has been examined using the panel data regression method. The principal component analysis (PCA) method has also been used to develop indexes for some variables.FindingsResults indicate a two-way Granger causality between FDI inflows and economic growth at the state level. Infrastructures, education expenses, labour availability and gross fixed-capital formation (GFCF) are positive and significant determinants, whilst corruption and FDI inflows are leaving negative impact on state-wise economic growth.Originality/valueThis study contributes to the body of the literature in four different ways: first, it empirically examines the trends and patterns of subnational FDI inflow and economic growth disparity in India; second, it examines the causality between FDI and economic growth. Third, with the institution-based paradigm in international business, it investigates how institutional variables affect the expansion of the economy. Fourth, it extends prior research by examining the link at the state level using a large panel data set made up of 29 states and 7 union territories (UTs) over the years 2000–2019.

Greening the knowledge-based economies: Harnessing natural resources and innovation in information and communication technologies for green growth

The quest for green growth through the sustainable use of natural resources (NRs) and innovation in information and communication technologies (IICTs) has gained the utmost significance in the modern era, and the knowledge-based economies (KBEs) have been at the leading edge of embracing sustainable methods for accomplishing sustainable development objectives. However, the relationship between NRs, IICTs, and green growth remain unexplored. This study evaluates the impact of IICTs and NRs, alongside other key factors such as contractionary export policy (CEP), expansionary export policy (EEP), fossil fuels consumption (FFC), the labor force (LF), and gross fixed capital formation (GFCF) on green growth. Findings confirm that IICTs, NRs, GFCF, LF, and EEP positively affect green growth. The current research employs Slope homogeneity test, cross-sectional dependency test, Westerlund and Edgerton cointegration test, and cross-sectional augmented autoregressive distributed lag estimator to achieve the study's objective. These results highlight the significance of integrating environmentally conscious procedures and relying on technological advances within the information and communication technology sector to promote green development and ecological integrity. In addition, the study indicates that a growing reliance on FFC and the implementation of CEP harm green growth, underscoring the necessity of moving to renewable energy sources and promoting favorable trade policies. This study suggests that policymakers should emphasize IICTs, effective NRs management, GFCF, labor skills, EEP, and the transition to greener energy. Moreover, they should incorporate ecological factors in their trade practices to reconcile economic growth with sustainability goals.

The Dynamic Link Between Budget and Current Account Balance: Evidence from Selected Upper & Middle Income Countries (A Panel ARDL Approach)

This study elaborates the connection between BD and CAD in selected upper-middle-income countries (UMC’s) by employing the panel data over the period from 2000 to 2020. This paper also tries to evaluate that weather the theory of Ricardian Equivalence or Keynesian Approach exists in case of selected upper-middle-income countries. First, we would apply the ADF approach to check the stationarity between the variable. After that, ARDL econometrics approach is adopted in order to check the long-run and short- run association among Current Account Balances (CAB), Fiscal Deficit (FD), Gross Fixed Capital Formation (GFCF), Real Effective Exchange Rate (REER), GDP Per Capita Growth (GDPPCG) and Trade. The findings showed that FD, REER, GDPPCG and trade have positive impact on CAB. While, in the long-run GFCF affects CAB negatively. This paper also pointed out that the Keynesian Theory is more suitable for selected upper-middle-income economies.

Güney Afrika'da Ekonomik Büyüme ve Sabit Sermaye Oluşumu Arasındaki Granger Nedensel İlişkiler: Bir Frekans Alanı Analizi

The purpose of this study is to examine the Granger causal linkages between gross fixed capital formation (GFCF) growth and economic growth in South Africa. To provide a more comprehensive analysis of the Granger causality (GC) relationships between these macroeconomic indicators, this study investigates these causalities in the frequency domain. The methodology is based on decomposing time series into weighted sinusoidal components and performing separate GC tests for each component. Test results reveal that there is feedback between capital formation and economic growth in South Africa in the frequency domain, even at the 1% significance level. Furthermore, the test results indicate that the GC from fixed capital formation to economic growth is detected in lower frequencies compared to the GC from economic growth to capital formation. This means that the severity of the GC from economic growth to capital formation is stronger than the reverse direction GC in South Africa.

Energy-growth nexus for ‘Renewable Energy Country Attractiveness Index’ countries: Evidence from new econometric methods

This study explores the connections between renewable energy consumption (REC), non-renewable energy consumption (NREC), gross fixed capital formation (GFCF), the labor force (LF), and economic growth (GDP) in Renewable Energy Country Attractiveness Index (RECAI) countries for 1991–2016. We quantify the nexus between REC, NREC, and GDP while utilizing a production model framework and including the measures of labor and capital, for suggesting a phase-wise strategy to attain the sustainable development goals. We use robust methodologies including Lagrange Multiplier (LM) panel unit root tests with trend shifts, Westerlund cointegration test, LM bootstrap technique for cointegration with breaks, continuously updated fully modified (CUP-FM) and continuously updated bias-corrected (CUP-BC) estimators, Augmented Mean Group (AMG) approach, fully modified ordinary least squares, dynamic ordinary least squares, Canonical Cointegrating Regression (CCR), and panel causality test proposed by Canning & Pedroni. We compute non-parametric time-varying coefficients with fixed effects for seeing the impact of GFCF, LF, REC, and NREC on GDP. Our results press upon policymakers to shift toward clean energy and REC for attaining the environmental goals (SDGs 6, 7, 13, and 15) and the economic goals (SDGs 1, 2, 8, and 10). While this shift would help developed economies, which have already attained the economic goals, to progress on the front of environmental goals, it would enable developing countries to progress on both fronts in a balanced manner.

Thermodynamic Effect of High-Rise Reinforced Concrete Typology on Asian Cities: Effect of Socioeconomic Obsolescence Factors on Thermodynamic Complexity

The construction of reinforced concrete (RC) apartments played a crucial role in accommodating the substantial increase in urban populations during the post-war period in Asian cities. However, the RC process in these regions exhibits limitations in terms of the building’s life cycle duration. These limitations arise due to two main factors: the inherent hybrid nature of RC and the insufficient measures for addressing inner rebar corrosion, as well as the lack of adequate control over the management of the “structural class” amid rapid economic expansion. This study examines the impact of rapid urbanization and economic growth on the construction industry, with a specific focus on the utilization of concrete buildings. Drawing on Odum’s urban energetics theory, macroeconomic data are analyzed to investigate the patterns and implications of widespread concrete construction during the late 20th century, particularly in Asian countries. The findings are then compared with earlier periods of economic expansion in other countries, aiming to provide a comprehensive understanding of the interplay between urbanization, economic growth, and the use of concrete structures. The application of Odum’s theory enhances the analytical process, offering valuable insights into the dynamics of the macro urban energy system. In this assessment, four countries are selected based on the stage of their urban economic expansion. The selection is determined using the recent changes observed in three key factors: (1) urban concentration, (2) GDP growth rate, and (3) gross fixed capital formation (GFCF) on housing volume. The assessment identifies the point in time when production, represented by the GDP growth rate, surpasses consumption, represented by GFCF on housing volume. Through this assessment, it becomes possible to make macro-scaled predictions about the urban energy system, even with limited archival data available.

Correlate of foreign direct investment and economic development evidence from Nigeria

Foreign Direct Investment (FDI) and other macroeconomic variables such as the exchange rate, economic openness, and public sector investment are significant macroeconomic variables that drive economic growth and development. As a result, every government’s ability to sustain and maintain a balance among them is critical to long-term development. The study's goals were to establish the impact of foreign direct investment on Nigeria's economic development, as well as the impact of the exchange rate on Nigeria’s economic development. The ex-post facto research design was used in this study, as well as secondary data. The explanatory variable was Foreign Direct Investment, and the control variable was the exchange rate. The study spans the years 1981 through 2019. The explanatory variable was Gross Fixed Capital Formation (GFCF), which is a proxy for economic progress, and the model was estimated using the Auto Regressive Distributed (ARDL) Model. The data for this study came from the World Bank Data Base's World Development Indicators of 2019 and the Central Bank of Nigeria's Statistical Bulletin of 2019. According to the study, a 1.4 unit increase in foreign direct investment leads to a 1.4 unit increase in gross fixed capital creation. In addition, a unit increase in the exchange rate causes a 0.03-unit fall in gross fixed capital formation, and vice versa. According to the findings, there is a negligible positive link between FDI and GFCF, but a strong negative relationship between the exchange rates (EXR) and GFCF. As a result, the report suggests that FDI inflows be used to fund capital projects that are not for current consumption, such as good road networks, train lines across the country, and stable electricity supply. Without a doubt, this would lower the cost of doing business in Nigeria and boost profitability. According to our findings, while FDI alone cannot lead to economic growth and development, when other factors such as a favorable climate and simplified pre-investment procedures are available, more FDI will be drawn to key economic sectors, contributing to economic growth and development.

Analysis of Macro Economic Influence on Indonesian Trade

This study aims to analyze the influence of macroeconomic factors on Indonesia's international trade. The variables in this study are trade values, exchange rates, exports, imports, Gross Fixed Capital Formation (GFCF), Gross Domestic Income (GDP), and foreign investment (FDI). The method used in this study is the Vector Error Correction Model (VECM). The VECM method is used in the analysis of long- and short-term relationships. The relationship studied is between the independent and dependent variables in the time series data. To find out the long-term relationship in research, researchers must analyze through the cointegration equation on the VECM test results. The data used in this study is time series data for 1991-2020 taken from World Development Indicators and the Indonesian Central Bureau of Statistics. Based on the results of the short-term analysis of the GFCF variable, imports and exports have no effect on the value of trade in Indonesia. While the FDI, GDP and import variables have a significant effect on the value of trade. In the long term, the variables of exchange rates, imports, GFCF, and FDI have a positive and significant effect on the value of trade in Indonesia.