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This study aims to highlight the dimensions of the rivalry over the regional role between two regional powers in the Middle East, and the impact of local, regional and international pressures of the Syrian crisis on the role performance of the competing forces.

The study is based on using “the role approach” as an analytical frame to benefit by the application of the theory of role. This approach allows the possibility of linking various analytical levels, both in clarifying the relationship between internal and external factors and showing the interaction between elements of perception, abilities and behavior.

The international pressures shall remain governing the frame of competition among the roles of the regional powers, through determining the course of competition and its direct impact on its results.

This study examines the phenomenon of regional rivalry between two distinct and competing regional powers, in a turbulent environment in the wake of the Arab Spring crises, which created opportunities and challenges for regional powers, especially in Syria, where it intersected with the interests and policies of major and regional powers.

The escalation of Turkish intervention in Arab internal affairs before and after the revolutions of the Arab Spring, particularly the military intervention. Sometimes Ankara threatens with military intervention and sometimes establishes large military bases in Arab countries: Qatar, Somalia and Iraq. Moreover, it carries out extensive military operations within the borders of some Arab countries such as Iraq and Syria. This type of behavior requires a study that takes into consideration the reasons of such behavior and future implications on the relations between the Arab and Turkish parties.

The theoretical framework of the study will follow neorealism, as the basis for understanding Turkish pragmatic foreign policy adopted in managing its international relations and interests with various countries.

The situation in Afrin after a year of Turkish occupation confirms this. Erdogan may not go ahead with a new military operation in east Euphrates and northern Syria. He may prefer instead he may deem it better to control the safe area in the north through the revival of the agreement of Adana of 1998. However, Turkey's desire to control northern Syria, which represents a quarter of the country, faces tough resistance of Turkish groups, Russian-Syrian rejection and European-American resentment. Control of the Syrian north may be subject to concessions and consensus among these powers without excluding any of them.

States in the international system, such as companies in the local economy, have the same main interest: that’s survival. It is worth noting that Waltz’s neorealistic theory cannot be applied to domestic national politics. It cannot contribute to the development of state policies relating to its international and internal affairs. His theory only helps to explain the reason behind the similar behavior of countries despite having different forms of governments and diversity of political ideologies. It also explains why the comprehensive international relations have not changed despite the growing decentralization of these countries.

How does neorealism explain Turkish military intervention in Syria since 2016?

This study explores a hegemonic alliance and the role of relational forms of accounting and accountablity in the making of contemporary capitalism.

We use the WikiLeaks “Cablegate” documents to provide an account of the detailed machinations between interest groups (corporations and the state) that are constitutive of hegemonic activity.

Our analysis of the “Cablegate” documents shows that the US and Chevron were crafting a central role for Turkmenistan and its president on the global political stage as early as 2007, despite offical reporting beginning only in 2009. The documents exemplify how “accountability gaps” occlude the understanding of interdependence between capital and the state.

The study contributes to a growing idea that official accounts offer a fictionalized narrative of corporations as existing independently, and thus expands the boundaries associated with studying multinational corporate activities to include their interdependencies with the modern state.

The study traces how global capitalism extends into new territories through diplomatic channels, as a strategic initiative between powerful state and capital interests, arguing that the outcome is the empowerment of authoritarian states at the cost of democracy.

The study argues that previous accounting and accountability research has overlooked the larger picture of how capital and the state work together to secure a mutual hegemonic interest. We advocate for a more complete account of these activities that circumvents official, often restricted, views of global capitalism.

The aim of this paper is to discuss a selection of policy strategies, regional initiatives and market approaches to uncover the realities of twenty-first-century building energy performance. A position that market-based approaches, human influence and policy interventions are part of an ecosystem of building energy performance is presented.

An exploratory search of secondary sources spanning the last three decades was conducted. Both peer-reviewed and grey literature were included to capture a broader understanding of the discourse in literature. Research questions guided the literature search, and a data extraction tool was designed to categorise the literature. The primary limitation of this study is that only a few applications could be discussed in a condensed format.

Several challenges about the current status quo of building energy performance were identified and summarised as follows. (1) Inconsistencies in measurement and verification protocols, (2) Impacts of market approaches, (3) National policy priorities that are at variance with regional targets and (4) Ambiguous reporting on environmental impacts of energy efficiency (EE) technologies.

The practical implications of the findings in this paper for practice and research are that as part of the building energy performance ecosystem, national responses through government interventions must become adaptive to keep up with the fast-paced energy sector and social trends. Simultaneously, before market-based approaches overcome the messiness of socio-economic dynamics, institutional conditions and cultural nuances, they ought to transparently address environmental impacts and the infringement of several SDGs before they can become viable solutions to building energy performance.

This paper presents building energy performance as an ecosystem comprising human influence, market-based approaches and policy interventions which form interdependent parts of the whole. However, evidence in the literature shows that these aspects are usually investigated separately. By presenting them as an ecosystem, this paper contributes to the discourse by advocating the need to re-align building energy performance to socio-economic-political dynamics and contextually viable solutions.

Modern renewable energy is crucial for environmental conservation, sustainable economic growth and energy security, especially in developing East African nations that heavily use traditional biomass. Thus, this study aims to examine urbanization and modern renewable energy consumption (MREC) in East African community (EAC) while controlling for gross domestic product (GDP), population growth, foreign direct investment (FDI), industrialization and trade openness (TOP).

This study considers a balanced panel of five EAC countries from 1996 to 2019. Long-run dynamic ordinary least squares (DOLS) and fully modified ordinary least squares estimations were used to ascertain the relationships while the vector error-correction model was used to ascertain the causal relationship.

Results show that urbanization, FDI, industrialization and TOP positively affect MREC. Whereas population growth and GDP reduce MREC, the effect for GDP is not that significant. The study also found a bidirectional causality between urbanization, FDI, TOP and MREC in the long run.

Investing in modern renewable energy facilities should be a top priority, particularly in cities with expanding populations. The governments of the EAC should endeavor to make MREC affordable among the urban population by creating income-generating activities in the urban centers and sensitizing the urban population to the benefits of using MREC. Also, the government may come up with policies that enhance the establishment of lower prices for modern renewable energy commodities so as to increase their affordability.

MREC is a new concept in the energy consumption literature. Much of the research focuses on renewable energy consumption including the use of traditional biomass which contributes to climate change negatively. Besides, the influence of factors such as urbanization has not been given significant attention. Yet urbanization is identified as a catalyst for MREC.

The purpose of this study is to cover the change that happened in the American foreign policy toward Iran by changing the American leadership from Obama to Trump. In addition to its coverage for the Iranian foreign policy toward the Arab region during the presidency period of Obama in the USA and also during the presidency period of Trump, to discover whether a change has happened in the Iranian foreign policy toward the Arab region is a result of the change in the American foreign policy or not. This can be discovered by concentrating on Yemen, Syria and Iraq, taking into consideration the Iranian and American national interests in the Arab region, as well as the regional role of Iran and its intervention in the Arab region.

This study was based on the analytical method of the foreign policy that is based on analyzing facts and events, as well as analyzing the roles and interests within the framework of the states’ foreign policy. This method was used in the study for the purpose of analyzing the impact of the change in the American leadership from Obama to Trump on the US foreign policy toward Iran in the light of the American interest; in addition to the Iranian foreign policy toward the Arab region (Yemen, Syria and Iraq) in the presidency period of both Obama and Trump in light of the regional role of Iran and its passion to achieve its national interest.

The study concluded that the change in the American foreign policy toward Iran is a result of the change of the American leadership from Obama to Trump by the American interest requirements in accordance to the respective of both of them. The change in the American policy led to a change in the trends of the Iranian foreign policy toward the Arab region in the term of the regional Iranian role. Under the American and Iranian convergence in the period of Obama, the Iranian role in the Arab region was limited to what could achieve its national interest and what did not threaten the American interest, especially after Iran had guaranteed that the USA is by its side. In the framework of the American and Iranian confrontation under Trump’s current presidency, the Iranian role has expanded in the Arab region, where Iran has intensified its intervention in Yemen, Syria and Iraq politically and militarily. Iran became more threatening to the American interest, as it became a means of pressure to the USA under Trump’s ruling in the purpose of changing its position toward it.

The importance of the study stems from the fact that it is seeking to analyze the change of the American foreign policy toward Iran within the period of two different presidential years of Obama and Trump, whereas, their trends were different in dealing with Iran between rapprochement and hostility toward it, on the basis of the American interest. In addition to testing whether this change in the American foreign policy toward Iran has been accompanied by a change in the Iranian foreign policy toward the Arab region.

Given the regional heterogeneity of economic development, electricity consumption in various regions exhibits a discrepant growth pattern. The purpose of this study is to construct a grey system forecasting model with intelligent parameters for predicting provincial electricity consumption in China.

First, parameter optimization and structural expansion are simultaneously integrated into a unified grey system prediction framework, enhancing its adaptive capabilities. Second, by setting the minimum simulation percentage error as the optimization goal, the authors apply the particle swarm optimization (PSO) algorithm to search for the optimal grey generation order and background value coefficient. Third, to assess the performance across diverse power consumption systems, the authors use two electricity consumption cases and select eight other benchmark models to analyze the simulation and prediction errors. Further, the authors conduct simulations and trend predictions using data from all 31 provinces in China, analyzing and predicting the development trends in electricity consumption for each province from 2021 to 2026.

The study identifies significant heterogeneity in the development trends of electricity consumption systems among diverse provinces in China. The grey prediction model, optimized with multiple intelligent parameters, demonstrates superior adaptability and dynamic adjustment capabilities compared to traditional fixed-parameter models. Outperforming benchmark models across various evaluation indicators such as root mean square error (RMSE), average percentage error and Theil’s index, the new model establishes its robustness in predicting electricity system behavior.

Acknowledging the limitations of traditional grey prediction models in capturing diverse growth patterns under fixed-generation orders, single structures and unadjustable background values, this study proposes a fractional grey intelligent prediction model with multiple parameter optimization. By incorporating multiple parameter optimizations and structure expansion, it substantiates the model’s superiority in forecasting provincial electricity consumption.

In the process of building the “Belt and Road” and “Bright Road” community of interests between China and Kazakhstan, this paper proposes the construction of an inland nuclear power plant in Kazakhstan. Considering the uncertainty of investment in nuclear power generation, the authors propose the MGT (Monte-Carlo and Gaussian Radial Basis with Tensor factorization) utility evaluation model to evaluate the risk of investment in nuclear power in Kazakhstan and provide a relevant reference for decision making on inland nuclear investment in Kazakhstan.

Based on real options portfolio combined with a weighted utility function, this study takes into account the uncertainties associated with nuclear power investments through a minimum variance Monte Carlo approach, proposes a noise-enhancing process combined with geometric Brownian motion in solving complex conditions, and incorporates a measure of investment flexibility and strategic value in the investment, and then uses a deep noise reduction encoder to learn the initial values for potential features of cost and investment effectiveness. A Gaussian radial basis function used to construct a weighted utility function for each uncertainty, generate a minimization of the objective function for the tensor decomposition, and then optimize the objective loss function for the tensor decomposition, find the corresponding weights, and perform noise reduction to generalize the nonlinear problem to evaluate the effectiveness of nuclear power investment. Finally, the two dimensions of cost and risk (estimation of investment value and measurement of investment risk) are applied and simulated through actual data in Kazakhstan.

The authors assess the core indicators of Kazakhstan's nuclear power plants throughout their construction and operating cycles, based on data relating to a cluster of nuclear power plants of 10 different technologies. The authors compared it with several popular methods for evaluating the benefits of nuclear power generation and conducted subsequent sensitivity analyses of key indicators. Experimental results on the dataset show that the MGT method outperforms the other four methods and that changes in nuclear investment returns are more sensitive to changes in costs while operating cash flows from nuclear power are certainly an effective way to drive investment reform in inland nuclear power generation in Kazakhstan at current levels of investment costs.

Future research could consider exploring other excellent methods to improve the accuracy of the investment prediction further using sparseness and noise interference. Also consider collecting some expert advice and providing more appropriate specific suggestions, which will facilitate the application in practice.

The Novel Coronavirus epidemic has plunged the global economy into a deep recession, the tension between China and the US has made the energy cooperation road unusually tortuous, Kazakhstan in Central Asia has natural geographical and resource advantages, so China–Kazakhstan energy cooperation as a new era of opportunity, providing a strong guarantee for China's political and economic stability. The basic idea of building large-scale nuclear power plants in Balkhash and Aktau is put forward, considering the development strategy of building Kazakhstan into a regional international energy base. This work will be a good inspiration for the investment of nuclear generation.

This study solves the problem of increasing noise by combining Monte Carlo simulation with geometric Brownian motion under complex conditions, adds the measure of investment flexibility and strategic value, constructs the utility function of noise reduction weight based on Gaussian radial basis function and extends the nonlinear problem to the evaluation of nuclear power investment benefit.

This research aims to examine the US–China policy shift from Obama to Biden emphasizing the centrality of Taiwan question in the geostrategic competition with Beijing and its prospect if the US strategy remains unchanged.

A conceptual framework is outlined, illustrating how the US grand strategy is driven by the ideological foundation of Exceptionalism. The paper highlights the associated US policy changes that evolved from Obama to Trump and then Biden to advance Washington's strategic interests in its rivalry with China over Taiwan.

Biden's policy led to an escalating geopolitical competition with Beijing over Taiwan to maintain US supremacy. The Biden administration is more stringent than the previous administrations on the Taiwan question and there is the conviction that the USA must not back down on Taiwan because the alternative will be a retraction of US world primacy to Beijing. With Washington's persistent hegemonic strategy, the US–China confrontation over Taiwan seems inevitable.

The research highlights how the Biden administration managed a perpetuated Ukraine crisis and forged unprecedented high-level ties with Taiwan, indicating the administration's determination to exacerbate contentions with Beijing over Taiwan rather than de-escalate.

Competitively multipolar international system demands bilateral and multilateral partnerships. Joint innovation signals close partnerships. Regional proximity of Central and Eastern Europe (CEE) to the European Union (EU) defines its research and development objectives. These objectives are additionally subjected to the USA’s geopolitical strategy in this geographical area. Hence, CEE’s limited resources require limited resources make international innovation cooperation. This paper aims to analyse whether and how CEE countries make international innovation cooperation decisions.

This paper used Organisation for Economic Co-operation and Development (OECD) database of total patent applications filed to the patent cooperation treaty (PCT) with co-applicants from abroad, where co-patents with at least one foreign inventor present a measure of international innovation partnership. A vector autoregression analysis and impulse response function were used to analyse international innovation partnership choices of eight CEE OECD countries for the period 1990–2018.

Innovation with the EU is of collaborative nature, commonly displaying complementary properties with the rest of the examined innovation partners, while co-patenting with the Russia and China act as substitutes or complements. Co-patenting with Russia is the most versatile, displaying both properties of collaboration and competition. Some countries exhibit complementarity in co-patenting activities with multiple partners. The significance levels of these relationships vary, indicating varying degrees of impact. Overall, these findings highlight the complex dynamics of co-patenting activities and the influence of different partners on countries’ collaborative innovation strategies.

In addition to significant relationships, insignificant relationships as well as those that could bring about greater synergy are flagged in the paper. Those relationships portray possible direction into which national funds could be channelled to incite cooperation between different sectors and countries, especially as innovation partnerships are not always successful and require a long time period to materialise.

By examining bilateral innovation partnerships, this study provides an insight into the strategic political and economic spheres of influence in the CEE region.