scholarly journals Does Nigeria Non-Renewable Resource Abundance Leads to Macroeconomic Performance? A Trend Analysis (1970-2014)

2021 ◽  
Vol 10 (2) ◽  
pp. 131-xxx
Author(s):  
Felix Odunayo Ajayi ◽  
A. Oluwaseyi Adelowokan ◽  
Oluwatosin O. Ogunyomi
Keyword(s):  
Oil And Gas ◽  
Capital Expenditure ◽  
Renewable Resource ◽  
Total Expenditure ◽  
Macroeconomic Performance ◽  
Education Expenditure ◽  
Resource Abundance ◽  
Macroeconomic Variables ◽  
National Wealth ◽  
The Relationship

Theoretically, natural resource abundance is expected to create national wealth; however, the inconclusiveness in the literature and among the African rich resources motivated this study. Our paper investigated that does Nigeria's non-renewable resource abundance leads to sustainable macroeconomic performance? To achieve the objectives of this study, our paper employs descriptive trends analysis, using tables and charts to measure the relationship between the non-renewable resource abundance, proxied as oil and gas variables, and the selected macroeconomic variables to draw an inference within the study period of 1970 – 2014 in Nigeria. In summary, our study concludes that an inverse relationship exists between non-renewable resource abundance and macroeconomic performance in Nigeria for the covered period 1970 – 2014. Therefore, our study conforms to the existing studies of Sachs & Warner, 2001; Gylfasson, 2005, VanPloeg and Venables, 2013 that African rich-resources countries, including Nigeria,  a non-renewable resource abundance retards macroeconomic performance within the period of study. Nonetheless, this study recommends that government should consistently endeavor to increase the proportion of education expenditure to total expenditure as well as same for capital expenditure to total expenditure, and finally, transform the economy from an oil-dependent economy to a non-oil driven economy, that is diversification of the economy, which would change the non-renewable resource-abundant nation from curse to blessing and thus, guarantee sustainable macroeconomic performance in Nigeria.

Testing Structural Break in the Relationship Between Exchange Rate and Macroeconomic Variables

2019 ◽  
Vol 23 (4) ◽  
pp. 442-453 ◽  
Author(s):  
Saidia Jeelani ◽  
Joity Tomar ◽  
Tapas Das ◽  
Seshanwita Das
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Time Series Data ◽  
Structural Break ◽  
Series Data ◽  
Ripple Effect ◽  
Macroeconomic Factors ◽  
Parameter Instability ◽  
Macroeconomic Variables ◽  
The Relationship

The article aims to study the relationship between those macroeconomic factors that the affect (INR/USD) exchange rate (ER). Time series data of 40 years on ER, GDP, inflation, interest rate (IR), FDI, money supply, trade balance (TB) and terms of trade (ToT) have been collected from the RBI website. The considered model has suggested that only inflation, TB and ToT have influenced the ER significantly during the study period. Other macroeconomic variables such as GDP, FDI and IR have not significantly influenced the ER during the study period. The model is robust and does not suffer from residual heteroscedasticity, autocorrelation and non-normality. Sometimes the relationship between ER and macroeconomic variables gets affected by major economic events. For example, the Southeast Asian crisis caused by currency depreciation in 1997 and sub-prime loan crisis of 2008 severely strained the national economies. Any global economic turmoil will affect different economic variables through ripple effect and this, in turn, will affect the ER of different economies differently. The article has also diagnosed whether there is any structural break or not in the model by applying Chow’s Breakpoint Test and have obtained multiple breaks between 2003 and 2009. The existence of structural breaks during 2003–2009 is explained by the fact that volume of crude oil imported by India is high and oil price rise led to a deficit in the TB alarmingly, which caused a structural break or parameter instability.

Exploring the impact of green human resource management on environmental performance: the roles of perceived organizational support and innovative environmental behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sabeen Hussain Bhatti ◽  
Farida Saleem ◽  
Ghulam Murtaza ◽  
Tazeem Ul Haq
Keyword(s):  
Human Resource Management ◽  
Human Resource ◽  
Organizational Support ◽  
Environmental Performance ◽  
Oil And Gas ◽  
Mediation Model ◽  
Content Type ◽  
Serial Mediation ◽  
Green Human Resource Management ◽  
The Relationship

PurposeThis paper aims to explore the relationship between green human resource management (GHRM) practices and the environmental performance (EP) of firms belonging to industries that may lean toward environmental pollution (e.g. oil and gas). The authors propose a holistic (serial mediation) model based on the ability-motivation-opportunity (AMO) theory and the social exchange theory (SET) and integrate organizational, i.e. perceived organizational support (POS), and individual, i.e. innovative environmental behavior (IEB), factors as explanatory mechanisms. The authors then test the model in a developing country context.Design/methodology/approachData were collected from white collar workers in the oil and gas industry in Pakistan. A structural equation modeling (SEM) technique and the PROCESS model 6 were used to analyze the hypothesized serial mediation model.FindingsThe authors found support for the fully meditating serial mediation model. Although the direct effects of GHRM and EP were insignificant, the total effects and indirect effects through POS and IEB were significant. Similarly, the research also found support for organizational and individual factors as explanatory mechanisms in the relationship between GHRM and EP.Originality/valueThis research adds to the existing literature on GHRM and the corporate EP link through proposing and testing a model of the mediating effects of POS and IEB. Furthermore, it provides empirical evidence of this model in the oil and gas sector using an Asian developing country as the context of study.

scholarly journals Empirical analysis of inbound open innovation and SMEs performance: Evidence from oil and gas industry

2018 ◽  
Vol 21 (1) ◽  
Author(s):  
Yusuf O. Akinwale
Keyword(s):  
Financial Performance ◽  
Open Innovation ◽  
Measurement Errors ◽  
Structural Equation ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Petroleum Sector ◽  
External Actors ◽  
The Relationship

Background: This article contributes to existing literature by examining the relationship between inbound open innovation and firms’ financial performance in the Nigerian oil and gas industry. Aim: This article seeks to identify the factors of inbound open innovation and whether these factors influence the financial performance of small and medium-sized enterprises (SMEs) in the Nigerian oil and gas industry. Setting: This article examines 150 indigenous oil and gas SMEs in the upstream subsector of the Nigerian petroleum sector through a survey, using a questionnaire, conducted in 2015. Methods: The study applied the structural equation modelling (SEM) method. This method is used to test the relationships between the factors and to calculate the measurement errors in the hypotheses formulated. Results: The results show that technology scouting, vertical technology collaboration (VTC) and horizontal technology collaboration (HTC) positively and significantly contribute to inbound open innovation, which are thus significant in influencing the financial performance of SMEs. The size of technical staff and research and development (R&D) fund allocations also have a positive and significant correlation with the SMEs’ financial performance. Meanwhile, the age of SMEs is negative and not significant in influencing financial performance. Conclusion: The results suggest that inbound open innovation through scouting, HTC and VTC should therefore be encouraged among SMEs to boost their internal capabilities, which have hitherto enhanced their financial performance. The management members of each SME should continually consider collaboration with the external actors because they cannot singularly possess all the innovative skills required in the industry. Also, each firm should commit itself to allocate more funds to R&D and at the same time should hire those who have relevant production skills and train the existing ones in their firms.

Experimental Study on Friction and Wear between Drill Collar and Casing

2016 ◽  
Vol 847 ◽  
pp. 460-465
Author(s):  
Ben Sheng Huang ◽  
Yao Zhu
Keyword(s):  
Heat Treatment ◽  
Wear Resistance ◽  
Oil And Gas ◽  
Wear Test ◽  
Hardness Test ◽  
Oil And Gas Fields ◽  
Key Issues ◽  
Gas Fields ◽  
The Relationship ◽  
Drill Collar

Casing wear is one of the key issues in the development of oil and gas fields and in the process of drilling operations. In this study, the relationship between hardness and wear resistance of drill collar and casing was studied; thereby the wear conditions between the two materials were improved. Chemical analysis, optical microscopy, hardness test and friction wear test were conducted to study the effects of heat treatment on hardness of the drill collar 4145H and the casing 30Mn5V, and discuss the relationship between hardness and wear resistance of them. The results showed that the materials of drill collar and casing after different heat treatment had varying degrees of wear, both of the respective wear amounts were gradually increasing with the increase of hardness of them, the wear extent of casing material was greater than that of drill collar material. The hardness of casing material was the lowest and its wear resistance was the best when quenching at 880°C and tempering at 630°C. And when quenching at 900°C and tempering at 690°C, the hardness of drill collar material was the lowest and its wear resistance was the best. Therefore, the hardness of drill collar and casing can be improved by changing the heat treatment process to improve the wear resistance, thereby reducing the wear conditions between them.

An analysis of fractal dimension and tortuosity based on 2D numerical reconstruction model of reservoir rocks

2019 ◽  
Vol 7 (4) ◽  
pp. SJ1-SJ6 ◽  
Author(s):  
Liang Luo ◽  
Jiahong Jin ◽  
Wei Wei ◽  
Jianchao Cai
Keyword(s):  
Fractal Dimension ◽  
Oil And Gas ◽  
Universal Method ◽  
Structure Generation ◽  
Reservoir Rocks ◽  
Numerical Reconstruction ◽  
The Monte Carlo Method ◽  
Microstructure Parameters ◽  
Rock Model ◽  
The Relationship

The microstructure of reservoir rocks plays an important role in oil and gas accumulation and production. We examine a universal method to evaluate these properties of rocks, such as pore tortuosity, matrix porosity, and connectivity, and we respectively construct a 2D numerical reconstruction rock model with different microstructure parameters by the Monte Carlo method and the quartet structure generation set method. We further study the heterogeneity (characterized by fractal dimension and tortuosity) of the constructed image for reservoir rocks by the numerical and theoretical analysis and obtain the formulas for fractal dimension and tortuosity versus porosity. The simulation results show that the logarithmic relation is between the pore fractal dimension and porosity, and the relationship between tortuosity and porosity has the form of power. This process provided an important method to advance 2D reconstruction technology of reservoir rocks and effectively determine the relationship between microstructure and porosity.

scholarly journals Asymmetric Macroeconomic Shocks and Asset Price Behaviors in Selected African Countries

2021 ◽  
Vol 11 (2) ◽  
pp. 90
Author(s):  
Saliu Mojeed Olanrewaju ◽  
Ogunleye Edward Oladipo
Keyword(s):  
Real Estate ◽  
Interest Rates ◽  
Asset Prices ◽  
Asset Price ◽  
Panel Cointegration ◽  
African Countries ◽  
Vector Autoregressive ◽  
Macroeconomic Variables ◽  
Real Estate Prices ◽  
The Relationship

This study examines the relationship between Asset prices (Stock and Real estate prices) and Macroeconomic variables in four selected African countries. The study employs the Westerlund Error Correction Based Panel Cointegration test and Eight-variable Structural Vector Autoregressive model to examine the relationship between asset prices and macroeconomic variables. Findings from the study confirm that no long-run relationship exists between both Asset prices and macroeconomic variables. The study equally reveals that portfolio diversification benefits of both stock and real estate markets are more pronounced in the period of a boom than the recession period in Africa. The results also show that GDP growth rate shock exerts a significant impact on both asset prices during expansion and recession periods. The study reveals that foreign interest rates and World oil price shocks are better predictors of both stock and real estate prices during the crisis period than in the expansion period.

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