An Empirical Analysis on the Relationship Between Oil and Gas Rents and Education: The Role of Institutional Quality Thresholds

2016 ◽  
Author(s):  
Soran Mohtadi
Keyword(s):  
Empirical Analysis ◽  
Oil And Gas ◽  
Institutional Quality ◽  
The Relationship

scholarly journals Institutional quality and the capital structure of microfinance institutions: the moderating role of board gender diversity

2021 ◽  
pp. 1-21
Author(s):  
Michael Adusei ◽  
Beatrice Sarpong-Danquah
Keyword(s):  
Capital Structure ◽  
Institutional Environment ◽  
Gender Diversity ◽  
Institutional Quality ◽  
Microfinance Institutions ◽  
Female Representation ◽  
Long Run ◽  
Board Gender Diversity ◽  
The Relationship

Abstract We test the effect of institutional quality on capital structure in the microfinance setting. In doing this, we rely on data from 532 microfinance institutions (MFIs) located in 73 countries dotted across the six microfinance regions in the world. We observe that institutional quality exhibits a robust negative and statistically significant relationship with capital structure in both the short and long run, implying that MFIs in countries with a better institutional environment are less likely to utilize more debt. Our moderation analysis furnishes us with evidence that the presence of women on the board of an MFI significantly moderates the relationship between institutional quality and its capital structure. We show that in the presence of more female representation on the boards of MFIs, the tendency of MFIs using less debt is higher.

Big data analytics capabilities and organizational performance: the mediating effect of dual innovations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Empirical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Mediating Effect ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

Institutions and entrepreneurship: the mediating role of corruption

2017 ◽  
Vol 13 (3) ◽  
pp. 262-282 ◽  
Author(s):  
Mohsen Mohammadi Khyareh
Keyword(s):  
Direct Effect ◽  
Rule Of Law ◽  
Institutional Quality ◽  
Test Theory ◽  
Entrepreneurial Activity ◽  
Content Type ◽  
Mediating Role ◽  
Mediation Hypothesis ◽  
The Relationship

Purpose The purpose of this paper is to examine the mediating role of corruption in the relationship between entrepreneurship and institutional quality in a sample of 90 countries from all around the world. Design/methodology/approach The data were collected from the Global Entrepreneurship Monitor, which developed a model where Corruption Perception Index as a proxy for corruption mediates the relationship between the variable rule of law as a proxy for institutional quality and opportunity entrepreneurship as a proxy for productive entrepreneurship. Correlation, Baron and Kenny approach (causal steps approach) and PROCESS Macro (normal test theory) developed by Hayes were used to find out the direct and indirect effects of institutional quality between corruption and entrepreneurship. Findings The bootstrap mediation results indicated that institutional quality was a significant predictor of corruption and corruption was a significant predictor of entrepreneurship. These findings support the mediation hypothesis. In addition, findings showed that there is a negative relation between corruption and productive entrepreneurship and a positive relation between institutional quality and productive entrepreneurship. Research limitations/implications The current study only considered the single proxy for institutional quality, i.e. rule of law; therefore, some other proxies for institutional quality such as government effectiveness and doing business can be used for future studies. Moreover, the proposed model does not control for the country differences like GDP or development stages of countries. Practical implications The findings of this study indicate that the total association between institutional quality and entrepreneurship is not only direct but also that rule of law contributes to levels of entrepreneurship through reduced levels of corruption. As a result, countries with higher levels of rule of law tended to experience corruption at lower levels, which in turn contributed to the emergence of increased levels of entrepreneurship. Furthermore, these results may be beneficial for organizations fighting against corruption, because entrepreneurial activity can be add to the group of economical drivers constrained by corruption. It is also beneficial for policy makers who focus on promoting entrepreneurship, since one way to increase entrepreneurial activity is to lower the existing corruption level. Originality/value The results indicated that the direct effect of institutional quality on the entrepreneurship remained significant when controlling for corruption, thus suggesting partial mediation. In other words, corruption only mediates part of the effect of institutional quality on entrepreneurship, that is, the intervention (institutional quality) has some residual direct effect even after the mediator (corruption) was introduced into the model.

scholarly journals Relationship between Public Debt Burden and Health Expenditure in Sub-Saharan African Countries: The Role of Institutional Quality

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Rusmawati Said ◽  
Abdullahi Sani Morai
Keyword(s):  
Public Debt ◽  
Health Expenditure ◽  
Institutional Quality ◽  
Sub Saharan Africa ◽  
African Countries ◽  
The Public ◽  
Debt Burden ◽  
Sub Saharan ◽  
The Relationship

The historically lower level of public health expenditure of sub-Saharan African (SSA) countries could be partly explained by the mounting debt burden of this region. This consumes a sizable proportion of their domestic resources to debt servicing and potentially decreases their overall budgetary allocations to various sectors in the economy and health expenditure in particular. Using the Generalized Method of Moments (GMM) approach on a sample of 43 sub-Saharan African countries, we examined the relationship between the public debt burden and health expenditure highlighting the role of institutional quality for the period 2000 – 2014. The empirical result confirms that the relationship between public debt burden and health expenditure in sub-Saharan Africa is negative. Interestingly, however, the marginal effect of the relationship between the public debt burden and health expenditure has shown that such a negative relationship turns out to be positive when the quality of the institutions is at maximum. This suggests that the relationship between the public debt burden and health expenditure in sub-Saharan Africa is a function of institutional quality.  Therefore, to minimize the negative impact of public debt on health expenditure in sub-Saharan Africa, governments should take determine stand to minimize its debt accumulation and intensify efforts toward the improvement of institutional quality in the region comprehensively.

FINANCIAL INCLUSION, INSTITUTIONAL QUALITY AND FINANCIAL DEVELOPMENT: EMPIRICAL EVIDENCE FROM OIC COUNTRIES

2021 ◽  
pp. 1-28
Author(s):  
MINHAJ ALI ◽  
MUHAMMAD IMRAN NAZIR ◽  
SHUJAHAT HAIDER HASHMI ◽  
WAJEEH ULLAH
Keyword(s):  
Financial Development ◽  
Method Of Moments ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Institutional Quality ◽  
Financial Inclusion ◽  
Moderation Effect ◽  
The Relationship ◽  
Unique Study

This unique study examines the moderation effect of institutional quality (IQ) on the relationship between financial inclusion (FI) and financial development (FD) of 45 Organization of Islamic Cooperation (OIC) countries. For empirical analysis, panel data are used for the period 2000–2016. We use the Arellano–Bond generalized method of moments (GMM) and two-stage least-squares (2SLS) method in our estimations to draw multidimensional results. The empirical results confirm the significant positive relationship between FI, IQ and FD. Interestingly, we find that IQ moderates FI and has a significant positive impact on FD. Our findings are robust to alternative econometric specifications of FI, IQ and FD. Therefore, policymakers must sensibly understand the pivotal role of FI and IQ in establishing sustainable future development of OIC countries.

scholarly journals The geochemical role of meteoric waters as a factor in the formation of the void space of oil and gas reservoirs

2020 ◽  
pp. 3-13
Author(s):  
O.P. Abramova ◽  
A.V. Goreva ◽  
R.R. Gumerova
Keyword(s):  
Oil And Gas ◽  
Water Saturation ◽  
Upper Permian ◽  
Genetic Profile ◽  
Void Space ◽  
Gas Reservoirs ◽  
Filtration Properties ◽  
The Relationship ◽  
Gas Bearing

The features of the chemical composition of formation waters of the Upper Permian, Lower and Middle Triassic aquifers within individual structures of the Malozemelsk-Kolguev monocline of the Timan-Pechora oil and gas bearing basin are examined. It is shown that the aquifers that, despite their remoteness from the recharge areas, had experienced repeated processes of dipping and uplifting of the territory, preserved the infiltration waters, but significantly transformed ones. To identify their genetic profile and determine the relationship with the processes of catagenetic changes, hydrochemical coefficients and indices of water saturation of calcium carbonate and calcium sulfate are calculated. It is established that the examined infiltration waters are characterized by high aggressiveness, dissolution ability, leaching and removal of main minerals. It is pointed out that the consequence of these processes is the formation of secondary void space and the creation of high capacitive and filtration properties of rocks. The universality of geochemical interaction between water and rocks in thermodynamically open geological systems is emphasized and it is confirmed by individual geological examples that the heterogeneity of the hydrochemical field can act as a cause of screening zones of oil and gas accumulation, as well as provide appropriate conditions for localization of hydrocarbon fluids.

An Empirical Analysis of Artificial Intelligence, Big Data and Analytics Applications in Exploration and Production Operations

2021 ◽  
Author(s):  
Armstrong Lee Agbaji
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Empirical Analysis ◽  
Oil And Gas ◽  
Oil Industry ◽  
Digital Transformation ◽  
Deep Dive ◽  
Exploration And Production ◽  
Oil And Gas Operations

Abstract Oil and Gas operations are now being "datafied." Datafication in the oil industry refers to systematically extracting data from the various oilfield activities that are naturally occurring. Successful digital transformation hinges critically on an organization's ability to extract value from data. Extracting and analyzing data is getting harder as the volume, variety, and velocity of data continues to increase. Analytics can help us make better decisions, only if we can trust the integrity of the data going into the system. As digital technology continues to play a pivotal role in the oil industry, the role of reliable data and analytics has never been more consequential. This paper is an empirical analysis of how Artificial Intelligence (AI), big data and analytics has redefined oil and gas operations. It takes a deep dive into various AI and analytics technologies reshaping the industry, specifically as it relates to exploration and production operations, as well as other sectors of the industry. Several illustrative examples of transformative technologies reshaping the oil and gas value chain along with their innovative applications in real-time decision making are highlighted. It also describes the significant challenges that AI presents in the oil industry including algorithmic bias, cybersecurity, and trust. With digital transformation poised to re-invent the oil & gas industry, the paper also discusses energy transition, and makes some bold predictions about the oil industry of the future and the role of AI in that future. Big data lays the foundation for the broad adoption and application of artificial intelligence. Analytics and AI are going to be very powerful tools for making predictions with a precision that was previously impossible. Analysis of some of the AI and analytics tools studied shows that there is a huge gap between the people who use the data and the metadata. AI is as good as the ecosystem that supports it. Trusting AI and feeling confident with its decisions starts with trustworthy data. The data needs to be clean, accurate, devoid of bias, and protected. As the relationship between man and machine continues to evolve, and organizations continue to rely on data analytics to provide decision support services, it is imperative that we safeguard against making important technical and management decisions based on invalid or biased data and algorithm. The variegated outcomes observed from some of the AI and analytics tools studied in this research shows that, when it comes to adopting AI and analytics, the worm remains buried in the apple.

The mediating role of decentralization between strategy and performance

2019 ◽  
Vol 32 (4) ◽  
pp. 409-425 ◽  
Author(s):  
Qinglan Chen ◽  
Tor Eriksson
Keyword(s):  
Empirical Analysis ◽  
Structural Equation ◽  
Online Survey ◽  
Corporate Strategy ◽  
Group Analysis ◽  
Business Environment ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship

Purpose The purpose of this paper is to empirically examine the mediating role of decentralization in the relationship between a firm’s strategy and its performance in the context of an advanced economy where the chief corporate strategy is differentiation. Design/methodology/approach The study uses data collected by an online survey targeting a stratified sample of 1,238 private firms operating in Denmark. The empirical analysis was carried out by estimating a structural equation model. Findings The key finding was that a decentralized organization (DO) can act as a mediator between a firm’s differentiation strategy and its performance. A multi-group analysis revealed that the mediating impact of decentralizing was affected by contingency factors such as firm size, strategic clarity, degrees of business environment risk and industry competition. Thus, a DO can be said to play a more important role in larger firms, in firms with less strategic clarity, and in companies with multiple plants. Research limitations/implications Although the study offers empirical evidence from a relatively large and representative sample of firms, the specificity of the context should be noted. In particular, firms in Denmark, while facing strong competition, do not compete with low costs. Clearly, studies of the mediating role of decentralization in low-cost strategy environments would be an important next step. Practical implications Several implications of the findings for organizational design and creation of beneficial conditions for strategy implementations are discussed. Originality/value The novel contribution of the study lies in the focus on decentralization as a mediator in the strategy–performance relationship. While previous research has shown that strategy is related to decentralization, and that decentralization is associated with higher performance, an empirical analysis of the relationship between the factors in the strategy-decentralization-performance path had not previously been undertaken.

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