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The purpose of this study is to develop a cylindrical capacitive sensor that has the advantages of high resolution, small size and designability and can be easily installed on lubricant pipeline to monitor lubricant oil debris.

A theoretical model of the cylindrical capacitive sensor is presented to analyze several parameters’ effectiveness on the performance of sensor. Numerical simulations are then conducted to determine the optimal parameters for preliminary experiments. Experiments are finally carried out to demonstrate the detectability of developed capacitive sensors.

It is clear from experimental results that the developed capacitive sensor can monitor the debris in lubricant oil well, and the capacitance values increase almost linearly when the number and size of debris increase.

There is lot of further work to do to apply the presented method into the application. Especially, it is necessary to consider several factors’ influence on monitoring results. These factors include the flow rate of the lubricant oil, the temperature, the debris distribution and the vibration. Moreover, future work should consider the influence of the oil degradation to the capacitance change and other contaminations (e.g. water and dust).

This work conducts a feasibility study on application of capacitive sensing principle for detecting debris in aero engine lubricant oil.

The novelty of the presented capacitance sensor can be summarized into two aspects. One is that the sensor structure is simple and characterized by two coaxial cylinders as electrodes, while conventional capacitive sensors are composed of two parallel plates as electrodes. The other is that sensing mechanism and physical model of the presented sensor is verified and validated by the simulation and experiment.

This paper aims to argue that the Global Political Economy (GPE) theory of neomercantilism provides a sound explanation to the American military involvement in the Persian Gulf. Accordingly, this paper also proposes the concept of “Neomercantilist War” which analyses the use of military force to protect a strategically vital economic resource (such as Gulf oil). Neomercantilist War is a point of similarity between the GPE school of neomercantilism and the International Relations (IR) school of realism.

The 1991 Gulf War and the American invasion of Iraq in 2003 are two major events of American military involvement to protect and/or seize Gulf oil. These two events will be tested for neomercantilism, in addition to the concept of “Neomercantilist War” as presented in the paper. The first feature, or definitional component, of neomercantilism is the major role of the state, the second is the preponderance of security/geopolitical goals over economic goals and the third is the zero-sum, relative gains mentality to dealing between states IR.

The GPE school of neomercantilism and the concept of Neomercantilist War do offer a sound explanation of American military involvement in the Gulf.

The American military involvement in the Gulf region has been analysed using the IR schools of realism and liberalism, but never using GPE theory. Even though GPE is mostly concerned with economic activity, the scope of GPE should be expanded to include military policies if they affect economic resources and activity.

The purpose of this paper is to propose a new simplified numerical model, based on a very compact semi-empirical formulation, able to simulate the fluid dynamics behaviors of an electrohydraulic servovalve taking into account several effects due to valve geometry (e.g. flow leakage between spool and sleeve) and operating conditions (e.g. variable supply pressure or water hammer).

The proposed model simulates the valve performance through a simplified representation, deriving from the linearized approach based on pressure and flow gains, but able to evaluate the mutual interaction between boundary conditions, pressure saturation and leak assessment. Its performance was evaluated comparing with other fluid dynamics numerical models (a detailed physics-based high-fidelity one and other simplified models available in the literature).

Although still showing some limitations attributable to its simplified formulation, the proposed model overcomes several deficiencies typical of the most common fluid dynamic models available in the literature, describing the water hammer and the nonlinear dependence of the delivery differential pressure with the spool displacement.

Although still based on a simplified formulation with reduced computational costs, the proposed model introduces a new nonlinear approach that, approximating with suitable precision the pressure-flow fluid dynamic characteristic of a servovalve, overcomes the shortcomings typical of such models.

China is a major energy import powerhouse, its trade deals have significant impact on international energy trade and global energy markets. The purpose of this paper is to explore the role of energy in China’s preferential trade agreements (PTAs) and their impact on Chinese imports of oil, gas and coal.

An extended trade gravity model framework is applied to explore the dynamics of China’s annualized energy import flows from the 22 economies that have PTAs with it for the period 1995–2015.

The effect of PTAs on trade patterns varies across the product groups and agreement clauses. The dominant factor affecting trade flows of coal, crude oil and oil products is the average tariff level. Its impact is less significant for gas imports, which are more affected by policy arrangements represented by a PTA variable. The depth and scope of a PTA do not affect Chinese energy imports patterns.

This paper is focused on exploring the effect of China’s trade and foreign relations strategies on its energy imports through the prism of its PTAs. Estimating the direct impact of China’s initiatives in the areas of trade, investment, security, culture, etc., on its trade flows of energy products and other product groups using the methodological framework proposed in this study would contribute to better understanding of the issue.

The findings can assist both China and energy exporting countries that target Chinese market in better understanding the drivers of trade flows of energy products and design their PTA strategies accordingly.

This study applies the trade gravity model framework to assess the impact of specific components of preferential trade agreements – tariff reduction and depth and scope of agreement – on energy trade flows differentiated by product group.

The purpose of this paper is to explore and analyse the dynamic relationship between remittances inflows of Egyptians working abroad and asymmetric oil price shocks.

This study uses a vector autoregressive (VAR) model to explain the impulse response functions (IRFs) and the forecast error variance decomposition (FEVD). The rationale behind using these tools is its ability to examine the dynamic effects of our variables of interest.

The impulse response functions confirmed that remittance inflows have various responses to asymmetric oil price shocks. For instance, inflowing remittances increase in response to positive oil price shocks, while it decreases in response to negative oil price shocks. Also, the results indicate that the responses are significant in the short and medium-run and insignificant in the long run. The magnitude of these responses reaches its peak or trough in the third year. Further, the variance decomposition reveals that oil price decreases are more influential than oil price increases.

This means that remittances inflows in Egypt are pro-cyclical with oil price shocks. That explained by the fact that more than one-half of those remittances sent from GCC countries where real economic growth is very pro-cyclical with the oil prices. This empirical assessment will help policymakers to determine the behaviour of remittances and highlights the impact of different kinds of oil prices shocks on remittances. Unlike the little existing literature, this study is the first study applied the VAR model using a novel dataset spanning 1960-2016.

The so-called “oil price war” of 2014-2016 took place between several main global oil producers; OPEC (led by Saudi Arabia), Russia and the newcomer; American tight oil or fracking oil. These oil producers were competing against each other over market shares in the global oil market, by maintaining their high oil production rates, even if this led to a decline in oil prices and a reduction in revenues from oil sales. As energy politics need more coverage in International Political Economy (IPE) theory, this paper aims to argue that Saudi Arabia's policies during the oil price war of 2014-2016 reflected a policy of neomercantilism, which is the IPE equivalent of the school of realism in International Relations (IR).

This paper tests for neomercantilism by testing three of its main definitional components. The first definitional component is that the state, as the political authority, intervenes in the economic decisions. The second component is the primacy of the state interests over business corporate profits, or the primacy of political and security considerations over short-term economic and corporate profit considerations. The third is the zero-sum or relative gains nature of dealings between states. Afterwards, this paper tests for neomercantilism in the Saudi policy by examining how each of these definitional components is reflected in the Saudi policy during the oil price war.

As energy politics need more coverage in International Political Economy (IPE) theory, this paper argues that Saudi Arabia's policies during the oil price war of 2014-2016 reflected a policy of neomercantilism, which is the IPE equivalent of the school of realism in International Relations (IR).

As energy politics need more coverage in International Political Economy (IPE) theory, this paper argues that Saudi Arabia's policies during the oil price war of 2014-2016 reflected a policy of neomercantilism, which is the IPE equivalent of the school of realism in International Relations (IR).

This paper aims to analyze the application of remotely piloted aircraft (RPA) for remote oil spill sensing.

This paper is an analysis of RPA strong points.

To increase the accuracy and eliminate potentially false contamination detection, which can be caused by external factors, an oil thickness measurement algorithm is used with the help of the multispectral imaging that provides high accuracy and is versatile for any areas of water and various meteorological and atmospheric conditions.

SWOT analysis of implementation of RPA for remote sensing of oil spills.

The use of RPA will improve the remote sensing of oil spills.

The concept of oil spills monitoring needs to be developed for quality data collection, oil pollution control and emergency response.

The research covers the development of a method and design of a device intended for taking samples and determining the presence of oil contamination in an aquatorium area; the procedure includes taking a sample from the water surface, preparing it for transportation and delivering the sample to a designated location by using the RPA. The objective is to carry out the analysis of remote oil spill sensing using RPA. The RPA provides a reliable sensing of oil pollution with significant advantages over other existing methods. The objective is to analyze the use of RPA employing all of their strong points. In this paper, technical aspects of sensors are analyzed, as well as their advantages and limitations.

Through the reconstruction of the events of some foreign entrepreneurs who worked in the territory of the Italian city of Bari in the first half of the 19th century, this paper aims to analyze the role of entrepreneurial migration in the economic development of Apulia land in this period.

This study adopts a theoretical framework that combines the concept of mixed embeddedness in a multifocal perspective, with the model of the diffusion of innovation focusing on the role of the so-called agency of actors, and of the network, in the dissemination of innovation. The theoretical framework is applied to multiple case studies to compare the evidence that emerged from the simultaneous analysis of several situations.

By analyzing how innovations have spread within the network of entrepreneurs of that time, it is possible to identify some relevant aspects related to the mechanisms of dissemination of innovations in the context of entrepreneurial migration. Specifically, the opportunity structure is intended in an even broader sense than indicated in the classic approach to mixed embeddedness: it is considered as the result of the joint interaction of the political, institutional and economic context of several places, and the behavioral dynamics of several groups.

Due to the specific method chosen, the outcomes of the research might apply to a narrow context. Therefore, the results need to be tested and confirmed in further empirical studies, and by applying multiple research methods.

Findings are useful and significant in the analysis of the link that exists between the diffusion of innovations and migrant entrepreneurship, and then the conclusions can be applied and extended to the current phenomenon of migration-related innovations, with specific reference to developing countries.

Findings can be applied and extended to the current phenomenon of migration-related innovations and highly skilled migration, with specific reference to developing countries.

This paper contributes to shed new light on the contextual and multifocal factors that influence the development of innovations in the networks of migrant entrepreneurship, in a specific historical period and a specific context. Combining social, human and financial capital with the wider opportunity structure, this study also provides a comprehensive understanding of the modalities through which migrant and high-skilled entrepreneurs could innovate.

The study aims to examine the geoeconomic significance of the Gulf Cooperation Council (GCC) countries to China’s global geopolitical ends. In this vein, the paper also seeks to explore the interplay between China’s grand geoeconomic strategy and China’s geopolitical ends from a realist perspective.

The study uses the realism theory to explore the interplay between China’s geoeconomic presence in the GCC countries and its geopolitical global ends.

The study concludes that China under President Xi Jinping has geopolitical ends, and they are the regional and global leadership. To achieve them, President Xi has formulated a grand geoeconomic strategy consisting of four strategies: going out strategy, periphery strategy, Belt and Road Initiative (BRI) and Asian Infrastructure Investment Bank. These strategies will maximize China’s economic power and presence around the world. From a realist perspective, this presence and its evolving consequences such as the balance of dependence will enable China to achieve its geopolitical ends. In this vein, China’s geoeconomic strategy in the GCC countries has largely maximized China’s economic presence in the Gulf. This presence highly serving China’s geopolitical global ends for two reasons: the economic weight of the GCC countries and their strategic location within BRI.

The study can prove the realistic dimension of geoeconomics in the neoliberal era on the application to China’s geoeconomic strategy.

According to the “strategic focus and future orientation” principle of the integrated reporting (<IR>) framework, <IR> should provide information useful to support investors in assessing the future financial performance of organizations. This study aims to support the operationalization of this function by improving the forward-looking orientation of the integrated report.

Basing on the backward- and forward-looking disclosure in <IR> and the dynamic resource-based view (DRBV), this study develops an explorative case study building a quantitative simulation model based on an integrated report.

This study provides useful insights into how operationalizing the <IR> “future orientation” and obtaining more quantitative information on the organization’s capacity to create value in the future by applying DRBV and quantitative simulation modeling.

The article presents one case study to explore the method suggested to improve the <IR> forward-looking orientation. Additional case studies applying the same research design should be certainly useful to refine the method.

Supporting the <IR> forward-looking orientation, this study provides additional information for the decision-making process of investors, thus contributing to the efficient and productive allocation of capital.

Few studies have investigated forward-looking information in integrated reports, highlighting the existence of an “information gap” referred to such disclosure. Overcoming these previous results, the study provides useful insights on how to improve the <IR> forward-looking orientation.