scholarly journals Environmental Smog Control Costs and proceeds of Oil and Gas Conglomerates

2021 ◽  
Vol 23 (12) ◽  
pp. 361-374
Author(s):  
Fadenipo, Adenike Adesola ◽  
◽  
Asuquo, Akabom Ita ◽  
Ogenyi, John Oboh ◽  
Nwafor Chidi Benson ◽  
...  

The study was carried out to analyse cost implications of environmental smog control costs on the proceeds of oil and gas conglomerates. Panel data were collected and organized from financial statements of selected conglomerates. Data were analysed using ordinary least square of multivariate analysis. Empirical findings revealed that environmental smog control costs have significant effect on the proceeds of the conglomerates investigated. Thus the study suggested and acclaimed that conglomerates should ensure that smog management and controls policies are formulated and implemented to avoid projecting a bad image of the establishment which could lead to loss of goodwill and reduce proceeds in the long run, there should also be effective regulations that will lead to adequate cost disclosure and appropriate financial performance reporting.

2016 ◽  
Vol 3 (1) ◽  
pp. 47
Author(s):  
Nikolaos Dritsakis ◽  
Pavlos Stamatiou

<em>The relationship between government debt, exports and economic growth has been the focus of a considerable number of academic studies in recent years. The economic crisis, which started in the United States mortgage market, quickly went global when mortgage-backed securities traded by financial institutions. Europe’s response was immediate regarding the measures to tackle the crisis. The establishment of common strategies was the long term goal of the European Union (EU). This paper examines the relationship between government debt, exports and economic growth in the EU countries with the highest level of government debt, using panel data over the period 1990-2014. The Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS) methods are used to estimate the long run relationship between the variables. In addition, the Vector Error Correction Model (VECM) is used in order to investigate the causal relationship between the examined variables. The empirical results of the study revealed that there are both short and long run relationships. Findings suggest that that there is a unidirectional causality running from exports to economic growth as well as from exports and economic growth to government debt. The results provide evidence to support the export led-growth hypothesis. Exports are an important factor for economic development. Moreover, the results reveal that government debt is affected by exports both directly and indirectly through economic growth. Policy implications are then explored in the conclusions.</em>


2020 ◽  
pp. 108602662092482
Author(s):  
Agustín García ◽  
María Teresa García-Álvarez ◽  
Blanca Moreno

The European Union Emissions Trading Scheme (EU ETS) was created in 2005 to price every ton of carbon dioxide emissions. Within this framework, EU carbon dioxide emission allowances can affect electric power industry stock performance. This article uses a multifactor market model and a panel data econometric technique to investigate the long-run impact of EU carbon dioxide emission allowances on the European power sector. We also use panel cointegration to check whether there is a long-run relationship, and fully modified ordinary least square and dynamic ordinary least square to estimate any such relationship. The panel data include a daily sample for the ongoing EU ETS Phase III (from 1 January 2013 until 22 April 2017) and data from six European Union members (Austria, France, Germany, Italy, Netherlands, and Spain). The estimated coefficients suggest that EU allowance prices have a statistically significant and positive long-run effect on the European power sector stock market in EU ETS Phase III. This potentially supports EU efforts to toughen carbon reduction regime targets in order to remove the surplus from the system.


2018 ◽  
Vol 4 (1) ◽  
pp. 39-49
Author(s):  
Zulaiha A Zubair ◽  
Hussin ah Abdull

Basically, the quality of institution, human capital (schoolenrolment) and infrastructure (mobile subscribers) are significant determinants of foreign direct investment (FDI). With exception of few studies on corruption, however, empirical research on  the link between infrastructure, human capital and FDI remain limited. Particularly in the context of Economic Community of West African States (ECOWAS). This paper aims to examine the linkage between infrastructure (mobile subscribers, corruption, schoolenrolment), and Foreign Direct Investment (FDI) among selected ECOWAS countries using panel data techniques for the period of 1990-2015. The methodology carried out to achieve this objective involves the panel unit root, panel cointegration and fully modified ordinary least square (FMOLS). The result indicates that, there is long run relationship among the series. Corruption and infrastructure are negatively significantly related with FDI at the long run in the selected ECOWAS countries. The empirical evidence indicates that feeble level of institutions (corruption) and infrastructure impedes FDI inflows in the selected ECOWAS countries. The results confirm that FDI enhancement through role of institution, schoolenrolment  and infrastructure (mobile subscribers) exist not only in the transition nation but also in the selected ECOWAS countries.


2012 ◽  
Vol 60 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Mili Roy ◽  
Md. Israt Rayhan

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladesh’s import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladesh’s imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladesh’s import is determined by the home and foreign country’s gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladesh’s importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)  


Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.


Author(s):  
Muhammad Usman

The goal of this study is to explore the impact of high tech exports on economic growth of Pakistan. To examine this relationship, data are collected from World Bank database, State Bank of Pakistan data source and Statistical Bureau of Pakistan. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square (OLS) with robust standard error, results confirm that there is a positive and statistically significant impact of high tech exports on economic growth. Although Pakistan is an agriculture country and its economic growth is largely depend upon farming, but for long run economic growth, Pakistan has to increase its high tech exports.


2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Agung Febrian Usman ◽  
Sri Ulfa Sentosa

Abstract: This research aims to examined the effect of industry of wage, education and forigninvestment on the agricultural sector labor industry in Indonesia with the selected model is the RandonEffect Model (REM ). The data used is panel data during the period 2014-2018, with thw twchnique ofcollecting documentation data and library studies obtained fromm relevant institution and agencies.Thevariables use are industry of wage (X1), education (X2), foreign invesment (X3), . the research methodused is Ordinary Least Square (OLS). The estimation result show that industry of wage have a positiveand its significant effect on the agricultural sector labor industry in Indonesia. Education have anegative and significant effect on the agricultural sector labor industry in Indonesia. foreign investmenthave a positife and its siknificant effect the agricultural sector industry Indonesia. Meanwhilesimultaneously industry of wage, education and foreign investment effect the agricultural sector laborindustry in Indonesia.Keywords: Agricultural Sector Labor Industry, Industry Of Wage, Education, Foreign Investment, andOrdinary Least Square (OLS)


Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  


2016 ◽  
Vol 23 (01) ◽  
pp. 137-160
Author(s):  
Anh Vo The ◽  
Duc Vo Hong

This study aims to investigate the link of trade balance and exchange rate for the case of Thailand in different aspects by initially attempting to examine what factors determine the trade balance in Thailand and then to test the long-run relationship between the exchange rate and Thailand’s trade balance. The empirical findings indicate that the exchange rate and relative growth rate of income play central roles in explaining Thailand’s trade balance, and fiscal and monetary policies are beneficial in some cases. Additionally, panel fully modified ordinary least square (FMOLS) estimations illustrate that a devaluation of Thailand Baht offers a significantly positive improvement on its trade balance in the long run, especially for the groups of countries with upper middle and high income in America and Europe. Individual FMOLS regressions of Thailand’s trade balance and each of its 62 trading partners suggest that a devaluation of Thailand’s currency would stimulate Thailand’s trade performance with over 20 trading partners, but hurt its performance with the other 10 countries and be inconclusive to the others.


2019 ◽  
Vol 8 (2) ◽  
pp. 108
Author(s):  
Jason Bergner ◽  
Marcus R. Brooks ◽  
Binod Guragai

The Jumpstart Our Business Startups Act of 2012 (hereafter, JOBS Act) creates a new category of firms, referred to as “Emerging Growth Companies” (hereafter, EGCs). Section 107 of the JOBS Act, titled “Opt-In Right for EGCs,” gives EGCs the choice to take advantage of an extended transition period for complying with new or revised accounting standards. In other words, an EGC can choose to delay the adoption of new or revised accounting standards until those standards would otherwise apply to private companies. Using a logistic regression approach with hand-collected data, we examine the underlying firm characteristics associated with EGCs’ choice of opting in or out of the accounting standards exemption, as provided by Section 107 of the JOBS Act. Using additional ordinary least square regression analyses, we further examine whether the choice of opting in or out is associated with earnings management and financial statement restatement behavior. Our results suggest that EGC firms designated as “smaller reporting companies” are more likely to choose to delay the adoption of a new or revised accounting standard (i.e., opt in). Our findings also show that EGCs that employ Big 4 auditors are more likely to opt out. We further find that EGCs that choose to opt out are less likely to engage in earnings management behavior, proxied by the absolute value of abnormal accruals, and are less likely to restate their financial statements. Taken together, our findings suggest that EGCs that choose to opt out of Section 107 produce higher quality financial statements.


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