Search results

1 – 10 of 321
Article
Publication date: 11 November 2022

Özcan Karahan and Olcay Çolak

The direction of the causality relationship between Foreign Direct Investment (FDI) and economic growth is a highly controversial issue in the literature. There are two basic…

Abstract

Purpose

The direction of the causality relationship between Foreign Direct Investment (FDI) and economic growth is a highly controversial issue in the literature. There are two basic approaches advocating different causal directions between FDI and growth, which are called hypotheses of FDI-led Growth and Growth-led FDI. The aim of this study is to analyze the causality relationship between FDI and economic growth in RCEP countries and thus make a new contribution to the discussions in the relevant literature. In addition, the results of the study are expected to provide important implications for the policies to be designed for economic growth based on FDI flows to RCEP countries. Thus, by examining the direction of causality between FDI and economic growth in RCEP countries, we aim to provide a new contribution to related literature and make some implications for the policy design process of economic growth in the RCEP area.

Design/methodology/approach

We empirically examined the direction of a causal link between FDI and economic growth in the context of Regional Comprehensive Economic Partnership (RPEC) countries in order to test the hypothesis of FDI-led growth and Growth-led FDI. Accordingly, as our main variables of interest, we incorporated the inward foreign direct investment stock to gross domestic product ratio (FDI) and gross domestic product per capita (GDP). Hatemi-J (2012) asymmetric causality test has been employed in the investigation of the direction of causality between FDI and GDP over the period of 1980–2020. Thus, unlike most of the studies investigating the direction of causality between FDI and growth using the linear causality analysis method, our study performed a nonlinear causality analysis.

Findings

Empirical results reveal that the causal relationship between FDI and national income in RPEC countries is non-linear or asymmetric . The results of the symmetric causality test for both from FDI to national income and from national income to FDI are statistically insignificant for all countries. Therefore, this finding obtained from the study provided an important guide to the econometric methods to be used in other studies to be conducted in the same region in the future. Concerning the asymmetric causality relationship from FDI to growth, positive FDI shocks are an important cause of national income in most RCEP countries. However, the effect of negative FDI shocks on national income is quite weak compared to positive shocks. Regarding the asymmetric causality relationship from growth to FDI, positive national income shocks do not create a significant causal relationship with FDI. Similarly, the effects of negative national income shocks on FDI are statistically insignificant. Overall, asymmetric causality test results reveal that positive FDI shocks have an important causal impact on economic growth in most RCEP countries. Thus, the results of econometric analysis mostly support the argument that the FDI-led growth hypothesis rather than the Growth-led FDI hypothesis in RCEP countries. Accordingly, policy-makers in most of the RCEP countries should continue to provide more incentives and facilities to multinational companies in order to ensure constant economic growth.

Originality/value

Our study brings a significant difference in the econometric method used compared to most of the other studies in the literature. Existing empirical studies on the direction of causality between FDI and growth mostly use standard Granger-linear causality-type tests to detect the direction of causality among FDI and growth. Unlike most of the studies in the literature, our study adopted a different methodological approach, namely the Hatemi J test to detect the non-linear causality between FDI and economic growth in RCEP countries. Therefore, this paper made a new methodological contribution significantly to the literature focusing on the causal relationship between FDI and economic growth by using a non-linear causality method rather than a linear causality one.

Details

Journal of Economic and Administrative Sciences, vol. 40 no. 1
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 3 April 2023

Huthaifa Alqaralleh and Abdulnasser Hatemi-J.

This study aims to investigate the dynamic relationship between renewable and non-renewable energy sources on the economic growth of eight countries, the capital stock and labour…

Abstract

Purpose

This study aims to investigate the dynamic relationship between renewable and non-renewable energy sources on the economic growth of eight countries, the capital stock and labour force being used as control variables in each case. Questions that need to be asked include the following: Is there is an asymmetric and, hence, a non-linear relationship between variables? If yes, how does economic growth interact with both renewable and non-renewable energy consumption (EC)? How different are these relationships in the countries highly rated in the performance of renewable EC compared to those lowly rated?

Design/methodology/approach

This paper uses asymmetric quantile-based methods to extract possible asymmetric and, hence, non-linear relationships between the underlying variables.

Findings

A newly developed asymmetric panel quantile approach suggests that EC has a significant effect on economic growth in both directions of shocks as well as for the considered sample. The results further support the findings in recent literature on renewable energy deployment, given the importance of renewable EC for economic growth with the increased levels of renewable EC, although the initial investments may have a negative effect on economic growth for some countries.

Originality/value

This study contributes to the literature in twofold. Firstly, it aims to contribute to the ongoing debate in literature by incorporating both renewable and non-renewable energy resources in the production function with labour and capital to test their asymmetric impact on economic growth. Secondly, this paper uses asymmetric quantile-based methods to extract possible asymmetric and, hence, non-linear relationships between the underlying variables. Another point that should be emphasised in this study is the need for studies analysing economic growth and EC for a sample of G20 countries based on a comparative view for the renewable and non-renewable EC in literature.

Details

International Journal of Energy Sector Management, vol. 18 no. 2
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 4 September 2023

Muzffar Hussain Dar and Md. Zulquar Nain

This study examines the possibility of asymmetric impact of inflation on the financial development (FD) in the case of Indian economy from 1980 to 2020. Moreover, the…

Abstract

Purpose

This study examines the possibility of asymmetric impact of inflation on the financial development (FD) in the case of Indian economy from 1980 to 2020. Moreover, the finance–growth hypothesis is also tested.

Design/methodology/approach

The authors incorporated the “Nonlinear Autoregressive Distributed Lag” (NARDL) model due to Shin et al. (2014) to investigate the asymmetric impact of inflation on financial development. Asymmetric cumulative dynamic multipliers are also used to track the traverse of any short-run distortion towards the long-run cointegration.

Findings

The results revealed that inflation impacts the financial development negatively whereas the economic growth (EG) and trade openness have a positive effect. However, the effect of inflation on financial development is not symmetric. Moreover, the findings support the demand-led growth hypothesis.

Originality/value

To the best of the authors' knowledge, this is the first study examining the asymmetric effects of inflation on financial development in the Indian context. In addition, instead of using a single proxy to measure financial development, an index for financial development encompassing different aspects of the financial system has been incorporated.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0094

Details

International Journal of Social Economics, vol. 51 no. 4
Type: Research Article
ISSN: 0306-8293

Keywords

Article
Publication date: 22 March 2024

Achille Augustin Diendere and Sansan Ali Bepounte Dah

Effective agricultural product price regulation policies depend on market integration and the degree of symmetry in the transmission of agricultural product price signals. This…

Abstract

Purpose

Effective agricultural product price regulation policies depend on market integration and the degree of symmetry in the transmission of agricultural product price signals. This study analyzes the transmission and asymmetry of the price series between the Ouagadougou consumer market and assembly markets considering three primary cereal products in Burkina Faso.

Design/methodology/approach

This study applies the nonlinear autoregressive distributed lag (NARDL) econometric model, which is an asymmetric extension of the ARDL cointegration model. The price series examined covers the period extending from January 2005 to December 2020.

Findings

Our analysis provides novel insights regarding short- and long-term asymmetric effects in the transmission of price signals between assembly markets and the consumer market. We also determine that the effects of negative shocks are more persistent than those of positive shocks in several markets.

Research limitations/implications

For markets that exhibit symmetrical responses of assembly market prices to consumer market prices, the results could reflect the continuous efforts of market players, particularly the government, to eliminate market failures and ensure the long-term efficiency of cereal markets. To this end, an agricultural market information system can have a crucial role in easing information access for all market players.

Originality/value

This study provides new evidence regarding the nature of the transmission and asymmetry of price information on primary cereal products in the largest markets in Burkina Faso. Applying the NARDL model makes it possible to simultaneously estimate short- and long-term asymmetry.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-0839

Keywords

Article
Publication date: 31 May 2023

Jeunesse Noumga, Flavian Emmanuel Sapnken, Aubin Kinfack Jeutsa and Jean Gaston Tamba

This research paper aims to examine the asymmetric impact of income and price on household consumption of kerosene in Cameroon.

Abstract

Purpose

This research paper aims to examine the asymmetric impact of income and price on household consumption of kerosene in Cameroon.

Design/methodology/approach

The methodological approach consists of testing for stationarity using the augmented Dickey–Fuller and Andrews and Zivot tests, determining cointegration using nonlinear autoregressive distributed lag (NARDL) test approach and finally examining asymmetry using the Wald test.

Findings

Results of the stationarity tests reveal that variables are all integrated of order less than two I(2). The NARDL approach indicates that the (positive and negative) income shock and the positive price boom negatively influence consumption in the long- and short-run. The same is true for the negative price shock, but the latter remains insignificant. Furthermore, the Wald test carried out in the study confirms that the cumulative effects of the positive and negative income and price shocks are asymmetric.

Originality/value

The increase in the price of kerosene due to the lifting of subsidies has led to a decrease in household consumption and an unfortunate increase in the loss of tree cover in Cameroon. According to the results, this phenomenon will persist even if the price is reduced. Actions aimed at reducing its production at the expense of liquefied petroleum gas, electricity and renewable energy should be encouraged to limit the loss of vegetation cover. Thus, this study could contribute to solving the problem of deforestation and desertification in Cameroon.

Details

International Journal of Energy Sector Management, vol. 18 no. 3
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 4 October 2022

Roozbeh Balounejad Nouri

The purpose of this study, the nonlinear relationship between the real estate market and the stock market was investigated in Iran. For this intent, the monthly data from 2012:4…

Abstract

Purpose

The purpose of this study, the nonlinear relationship between the real estate market and the stock market was investigated in Iran. For this intent, the monthly data from 2012:4 to 2022:5 is used.

Design/methodology/approach

In this study, the quantile-on-quantile estimation method is used, which is a combination of the nonparametric estimation methods and the quantile regression.

Findings

The research results show that, in the low quantiles, the effect of stock market return on the housing market return is negative or zero. In fact, in this situation, the increasing returns in the stock market will shift part of the financial resources of the economy to the market and create stagnation or even negative returns in the housing market. This situation is seen more strongly in some other quantiles, including the 0.25 and 0.75 quantiles; in contrast, the effect of high quantiles of stock market returns is positive on the housing market.

Originality/value

It seems that the demand in the housing market increase in a situation where the returns of the stock market are growing, and the market is in a bullish condition, and this causes an increase in the price and returns in this market. In addition, the results show that the effect of stock market returns on capital market returns is asymmetric and nonlinear.

Details

International Journal of Housing Markets and Analysis, vol. 17 no. 2
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 1 June 2023

Imran Khan

The purpose of this paper is to empirically analyze the impact of remittance inflows on sustained economic growth in India.

Abstract

Purpose

The purpose of this paper is to empirically analyze the impact of remittance inflows on sustained economic growth in India.

Design/methodology/approach

This study has taken a time series dataset for the period of 1976–2021, and a nonlinear autoregressive distributed lag model technique (NARDL) has been applied to check the impact of remittance inflows along with other control variables, including broad money and service sector performance, on the sustained economic growth of India.

Findings

The results of the study indicated that in both the short and long runs, any positive shock in remittance inflows has a positive impact on the economic growth of India, while negative shocks do not affect economic growth.

Practical implications

The economic policymakers of India can use the findings of the study by implementing remittance-friendly policies. Moreover, NITI Aayog, the body working toward achieving sustainable development goals (SDGs) in India, can also use this study as a reference while making strategies to achieve SDG.

Originality/value

Economic growth has always been an area of interest among economists, researchers and policymakers. However, achieving sustained economic growth requires an analysis of those factors that themselves have sustained performance over a long period of time and have the potential to sustain it over the upcoming years. This study has taken remittance inflows as one such factor and investigated its impact on the sustained economic growth of India. At present, there is an evident gap in the literature that very little attention has been given to sustained Indian economic growth. Moreover, there is no study available in which the nonlinear impact of different variables has been tested on the economic growth of India.

Details

Journal of Economic Studies, vol. 51 no. 2
Type: Research Article
ISSN: 0144-3585

Keywords

Open Access
Article
Publication date: 14 March 2024

Rakesh Kumar

India started economic reforms at a rapid pace to catch up the world economy by following the services-led-growth model during the post-liberalisation period. Over the years, the…

Abstract

Purpose

India started economic reforms at a rapid pace to catch up the world economy by following the services-led-growth model during the post-liberalisation period. Over the years, the growing unemployment rate posits a re-look into the dynamics of growth model for wider work force participation. In this backdrop, the paper aims to examine the dynamics of structural changes in employment pattern in view of economic growth led by services-led growth model in India.

Design/methodology/approach

The study employs a non-linear autoregressive model (NARDL) to examine the effect of the growth rates in three broad economic sectors namely agriculture and allied, services and industry on work force participation representing the employment opportunities in India.

Findings

The results highlight that the rapid expansion of the service sector has not occurred with enough employment opportunities by the same rate. By contrast, the growth in the industrial sector significantly creates employment opportunities in the short and long run. These results support the industry led growth model over the services for sustainable and inclusive economic growth in the country.

Research limitations/implications

The study relies on combined labour force participation rates rather than gender-specific rates. Further, the regulatory, working conditions and economic incentives may affect the gender-specific engagement of the labour force in three broad sectors.

Practical implications

The results offer important insight into changing patterns in employment with policy lessons. A wider workforce force participation calls for expansion of manufacturing activities through pro-industry programmes.

Originality/value

The study makes pioneer efforts to examine the dynamics of labour force participation with respect to the growth of three broad economic sectors of the Indian economy. The results provide new insights with policy implications for the changing employment pattern and policy response.

Details

Review of Economics and Political Science, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2356-9980

Keywords

Article
Publication date: 11 July 2023

Youssef El-Khatib and Abdulnasser Hatemi-J

The current paper proposes a prediction model for a cryptocurrency that encompasses three properties observed in the markets for cryptocurrencies—namely high volatility…

Abstract

Purpose

The current paper proposes a prediction model for a cryptocurrency that encompasses three properties observed in the markets for cryptocurrencies—namely high volatility, illiquidity, and regime shifts. As far as the authors’ knowledge extends, this paper is the first attempt to introduce a stochastic differential equation (SDE) for pricing cryptocurrencies while explicitly integrating the mentioned three significant stylized facts.

Design/methodology/approach

Cryptocurrencies are increasingly utilized by investors and financial institutions worldwide as an alternative means of exchange. To the authors’ best knowledge, there is no SDE in the literature that can be used for representing and evaluating the data-generating process for the price of a cryptocurrency.

Findings

By using Ito calculus, the authors provide a solution for the suggested SDE along with mathematical proof. Numerical simulations are performed and compared to the real data, which seems to capture the dynamics of the price path of two main cryptocurrencies in the real markets.

Originality/value

The stochastic differential model that is introduced and solved in this article is expected to be useful for the pricing of cryptocurrencies in situations of high volatility combined with structural changes and illiquidity. These attributes are apparent in the real markets for cryptocurrencies; therefore, accounting explicitly for these underlying characteristics is a necessary condition for accurate evaluation of cryptocurrencies.

Details

Journal of Economic Studies, vol. 51 no. 2
Type: Research Article
ISSN: 0144-3585

Keywords

Open Access
Article
Publication date: 25 January 2024

Yongwon Kim, Inwook Song and Young Kyu Park

Using overlapped portfolio data on public equity funds in Korea, the authors construct several types of fund-stock weighted bipartite networks and measure fund network centrality…

Abstract

Using overlapped portfolio data on public equity funds in Korea, the authors construct several types of fund-stock weighted bipartite networks and measure fund network centrality. The authors also examine the relationship between network centrality and fund investment performance. The authors' results are three-fold. First, the authors find that the fund centrality of the network in which funds and stocks are connected based on the most active investing behavior positively affects the fund performance. Second, the funds with a high centrality level based on the same network generate higher returns by holding stocks with high value uncertainty. Third, the authors find that fund centrality is not associated with herd behavior. Based on these results, the authors argue that fund centrality is a proxy of information advantage and skill of fund managers. The authors' paper shows that network analysis could be a new way to identify funds with better performance and measure the skill and information advantage to construct an optimal portfolio.

Details

Journal of Derivatives and Quantitative Studies: 선물연구, vol. 32 no. 1
Type: Research Article
ISSN: 1229-988X

Keywords

1 – 10 of 321