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This study aims to unveil the variables that drive Indonesia’s seafood exports to organization of Islamic cooperation (OIC) countries, including a deeper analysis to understand the factors that affect Indonesia’s potential for halal seafood exports, and attempts to validate Linder’s hypothesis, which might occur as part of the determinants of Indonesia’s seafood exports, as well as one of the variables that can affect Indonesia’s potency of halal seafood exports based on economic scale similarities and relative factor endowments.

Using Poisson regression by pseudo maximum likelihood, this study applies the theory of trade gravity and Linder’s hypothesis of Indonesia’s seafood exports to OIC countries and its halal market potency over the 30 years observation period from 1992 to 2021, with 47 countries importing Indonesia’s seafood products during the observation period based on United Nations Comtrade statistics.

The variables that drive Indonesia’s seafood exports are the situation of the economy between Indonesia and its trading partners, the population of importing countries and the common understanding of language. On the other hand, the adjusted-Muslim GDP of importing countries, the adjusted-Muslim GDP of Indonesia and the number of Muslim inhabitants of importer countries are the factors that affect Indonesia’s potential for halal seafood exports. The study also validates the presence of Linder’s hypothesis in Indonesia’s seafood export and could hint Indonesia’s potential for halal seafood exports

Owing to the absence of an Harmonized System code that explicitly accommodates trade in halal commodities, especially in halal seafood exports, it will be more accurate if data are available in the future as material for further studies. Future studies may also consider per capita consumption of seafood, food safety standards and the level of food security from OIC countries as variables that might also influence Indonesia’s seafood exports in an approach analysis using the gravity theory of trade.

This study is part of the authors’ efforts to encourage a greater contribution of the fisheries sector to Indonesia’s GDP by identifying the factors that drive seafood exports, which have so far only been around 2%–3% and have never reached more than 4% in the past two decades. While Indonesia is blessed with extraordinary marine biodiversity and hopes of being the leader of the halal food industry, the fisheries sector is expected to contribute.

Unlike previous studies that used the approach of the gravity model of trade on food exports, this study is specifically in the field of seafood exports, takes Indonesia as the main object of research and also examines Linder’s hypothesis as part of the analysis to identify what drives Indonesia’s seafood exports in the OIC countries market and fill the scant of studies highlighting the factors that could drive halal food exports, specifically in seafood.

Despite the huge financial resources associated with oil, Nigeria has consistently recorded poor growth performance. Therefore, this study aims to examine how corruption and oil rent influence Nigeria’s economic performance during the 1996–2021 period.

Various estimation techniques were used. These include the bootstrap autoregressive distributed lag (ARDL) bounds-testing, dynamic ordinary least squares (DOLS), the fully modified OLS (FMOLS) and the canonical cointegration regression (CCR) estimators and the Toda–Yamamoto causality.

The bounds testing results provide evidence of a cointegrating relationship between the variables. In addition, the results of the ARDL, DOLS, CCR and FMOLS estimators demonstrate that oil rent and corruption have a significant positive impact on growth. Further, the results indicate that human capital and financial development enhance economic growth, whereas domestic investment and unemployment rates slow down long-term growth. Additionally, the causality test results illustrate the presence of a one-way causality from oil rent to economic growth and a bi-directional causal relationship between corruption and economic growth.

Existing studies focused on the effects of either oil rent or corruption on growth in Nigeria. Little attention has been paid to the exploration of how the rent from oil and the pervasiveness of corruption contribute to the performance of the Nigerian economy. Based on the outcome of this study, strategies and policies geared towards reducing oil dependence and the pervasiveness of corruption, enhancing human capital and financial development and reducing unemployment are recommended.

Buried pipelines under various soil embankment heights are cost-effective alternatives to transporting liquid products. This paper aims to assist pipeline architects and professionals in selecting the most cost-effective buried reinforced concrete pipelines under deep embankment soil with minor structural reinforcement while meeting shear stress requirements, safety and reliability constraints.

It is unfeasible to experimentally assess pipeline efficiency with high soil fill depth. Thus, to fill this gap, this research uses a dependable finite element analysis (FEA) to conduct a parametric study and carry out such an issue. This research considered reinforced concrete pipes with diameters of 25, 50, 75, 100, 125 and 150 cm at depths of 5, 10, 15 and 20 m.

According to this research, the proposed best pipeline diameter-to-thickness (D/T) proportions for soil embankment heights 5, 10, 15 and 20 m are 8.75, 4.8, 3.5 and 3.1, correspondingly. The cost-effective reinforced concrete (RC) pipeline thickness dramatically rises if the soil embankment reaches 20 m, indicating that the soil embankment depth highly influences it. Most of the analyzed reinforced concrete pipelines had a maximum deflection value of less than 1 cm, telling that the FEA accurately identified the pipeline width, needed flexural steel reinforcement, and concrete crack width while avoiding significant distortion.

The cost-effective thickness for the analyzed structured concrete pipes was calculated by considering the lowest required value of steel reinforcement. An algorithm was developed based on the parametric scientific findings to predict the ideal pipeline D/T ratio. A construction case study was also shown to assist architects and professionals in determining the best reinforced concrete pipeline geometry for a specific soil embankment height.