Petroleum Business Review (PBR)

Considering global warming and importance of sustainable growth in economic sub-sectors, this paper presents and estimates an empirical model of renewable energy consumption for the industrial sector of selected OPEC and non-OPEC countries over the period 1990-2014. Panel co-integration estimates by Pedroni (1999,2004) and Westerlund (2005,2006) show that, in the long term, increases in industrial value added per capita, real oil prices, and CO2 per capita are found to be major drivers behind per capita renewable energy consumption for both OPEC and Non-OPEC nations. Panel Granger causality by the Dumitrescu and Hurlin (2012) method confirms that there are bi-directional causality relationship between research variables and therefore verify feedback hypothesis. Finally, FMOLS and DOLS results show that when industrial value added per person increases, per capital renewable energy consumption increases by greater magnitude in non-OPEC than OPEC countries; also an increase in CO2 emissions per person increases per capita renewable energy consumption by greater amount in non-OPEC than OPEC nations.

It seems that paying attention to social responsibility by companies can lead to a better stakeholder’s view toward the company, thereby increasing their loyalty and trust. Having the ability to obtain more financial resources in times of crisis, due to the greater loyalty of investors, will result in reducing the company risk. In contrast, being overconfident about the loyalty of individuals to the company can lead to keeping a short-term debt structure, thereby increasing the risk of obtaining financial resources. Recently, the negative impacts of petrochemical companies on the environment have made social and environmental groups focus more on this industry, and this focus has pushed companies into involving in more social activities. Considering the potential impact of CSR on the company’s risk, this study examines the relationship between corporate social responsibility and value at risk in petrochemical industry using a sample of 27 companies listed on the Tehran Stock Exchange during the 2010-2017 period. Eviews 10 is used for computing and analyzing the data, and the generalized auto regressive conditional heteroskedasticity (GARCH) model is employed to estimate value at risk. The results indicate a negative and statistically significant relationship between corporate social responsibilities and company value at risk. <strong> </strong>  

Regarding the contingency theory, the purpose of this research is to identify factors affecting the development of accounting and financial [management] procedures (AFP) for joint operating agreements in Iran’s oil and gas industry. To this end, at first, some partial factors were identified through a deep study of theoretical foundations. Subsequently, in order to identify environmental factors, a semi-structured interview was conducted with accounting and finance experts in oil and gas exploration and production companies whose competences were approved by the Ministry of Petroleum. Using the theoretical framework and the interview results, a questionnaire was set up and distributed in a wider range in order to add potentials and eliminate, modify, and finally rank the raised factors. The results showed that changes in laws and regulations, use of services in Iran’s oil and gas industry, changes in business practices, information technologies, the structure of the principal contract,  and conflicts among operational parties are the most important factors that should be taken into account in the formulation and development of AFP’s for these contracts in Iran’s oil and gas industry, and, in this regard, some suggestions are provided.  

The aim of the current research is to explore a strategist developing model based on a mixed method for National Iranian Oil Company. This study is an exploratory and applied research, and it methodologically uses mixed methods. In the qualitative part, which is based on a data theory approach, the required data were gathered by means of semi-structured interviews. The participants involved in the study were 24 industrial and academic experts. After collecting the data, they were encoded, and necessary measurements were then taken to determine dimensions, main categories, subcategories, and relevant concepts related to our coding system. Having gained a coded table which was pivot and selective, finally, the goodness of the fit of the paradigmatic research model was developed (n=320). Quantitative analyses were performed by means of SPSS 24 and Lisrel 9.30 software. The qualitative findings of this study included 11 main categories, 24 subcategories, and 98 concepts. The concepts which were related to development strategists included causative factors (individual factors, organizational factors, and discourses); the category of central strategic thinking (conceptual and organizational thinking, foresight, and philosophical attitudes); obstructive factors (both inter organizational and intra organizational factors); contextual factors (cultural context, psychological factors, and organizational independence); strategies to identify the talents, to attract them, and to retain them; the outcomes of the establishment of monitoring system; strategic thinking; and the process of developing experts in our oil company. Our findings resulted in discovering a pattern to develop experts in oil industry.  

<strong>Abstract</strong> The motivation of this paper is the way in which the alternative fuel modes for public transport are analyzed. The aim is proposing a hybrid method to select the best fuel for public transport. The buses with old and new alternative fuels are considered in this paper. Several types of fuels are considered as alternative-fuel modes, e.g., conventional diesel, ultra-low-sulfur diesel fuel, bio-diesel fuel, and electric and gasoline hybrid engine. Moreover, many decision criteria categorized into performance, environmental, economical, infrastructure, technological, social, and risk are taken into consideration. The paper uses a hybrid multi-criteria decision analysis model to rank the fuel modes and/or choose the most efficient one. This hybrid method consists of rank order centroid method to assign the weights to the criteria, and additive ratio assessment technique to analyze the decision-making matrix. To demonstrate the applicability and flexibility of the model, a case study with data given by the experts from the respected fields is employed. The result presents that the liquefied propane gas (LPG) outperforms the other options in terms of the selected criteria.   <strong> </strong>

Since a major part of Iran petrochemical base products has been considered for export, it is essential and inevitable to consider international markets so as to examine the economic conditions of petrochemical development projects. The aim of the current work is to offer appropriate solutions to the facing challenges and to the development of innovation management model in the petrochemical companies producing polyethylene products and approaching new polyethylene goods. Data collection was conducted using the library and field studies; after taking these steps, 58 main indicators were considered by experts’ through screening among 130 extracted indices. Based on these indicators, a final questionnaire was designed by Likert scale and distributed. Finally, after receiving the comments of 105 managers and experts in 5 different petrochemical companies producing polyethylene on these indicators, the data were collected, and the research model was fitted using a structural equation and Smart PLS software. After fitting, 29 indices, 2 factors, and 6 dimensions were accepted for designing the model. The general dimension was composed of economic, organizational, regulatory, and supervision factors, while the specific dimension was formed of technological, technical, marketing, and systemic factors. According to the research conducted for successful innovation management, considering all the above-mentioned points is necessary in petrochemical companies producing polyethylene products. <strong><em> </em></strong>