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This paper aims to identify all variables and parameters related to business and emission within the petrochemical industry. The variables and parameters specified will be modeled into a system dynamic model that will be a baseline for the proposed best scenario(s) to address the business issue related to emission reduction in the petrochemical industry.

Literature review and stakeholder interviews were conducted to define the key factors contributing to the emission reduction of the petrochemical industry. The key factors are then developed into a system dynamic model to measure the quantitative impact of changes in those variables on emission and industry profitability.

This paper provides an analysis of system dynamic model. It suggests that process optimization can lead to a slight amount reduction in emissions. In contrast, a significant reduction shows in the simulation result of bio-based feedstock utilization and implementation of advanced technology. To sustain the emission reduction, strong commitment from stakeholders and support from the government will play an important role.

This research is limited to problem analysis of the primary product (high-value chemical) of the petrochemical industry by only considering the changes in the key factors of emission reduction.

This paper includes implications for interventions that can be imposed to reduce emission while retaining the business profitability.

The contribution of this study is to find the best scenario that can boost emission reduction within Indonesia’s petrochemical industry.

In the case of Iran, about 19 years have passed since the announcement of general energy policies. Policies adopted in the past included too many approaches and goals for the energy sector that some of them are in conflict with each other and their simultaneous implementation was impossible. Therefore, many of the expected goals of these policies have not been achieved. It is very important to adopt an appropriate approach that is compatible with the country’s characteristics and can steer energy policies. Therefore, this study aims to adopt an appropriate approach for the country’s energy sector according to the conditions and needs of the country.

A participatory scenario technique is designed and used to develop plausible projections in the case of Iran’s energy futures. Based on the proposed methodology, the research process starts with data gathering through interviews and national plans analysis. Then, findings were used as inputs to a simulation-based scenario development process. Scenarios are developed based on Monte Carlo simulation via cross-impact analysis technique purified based on expert judgments.

In this paper, to recognize Iran’s general approach to energy in the next 20 years, driving forces of change were introduced and used as input for the scenario development phase. Results showed sanctions play a significant role in Iran’s energy future and determine the directions of other driving forces. For renewable energy, it was proposed to increase the renewable share in Iran’s electricity generation mix to 5% of the total installed capacity. In the case of fossil fuel extraction, the maximum efficient rate was proposed for both oil and natural gas national production strategy.

This research is novel both in terms of application and theory. A new participatory scenario development method is used using simulations that are equipped based on experts’ judgments. Also from the practical perspective, this research targeted a future-oriented challenging problem to initialize national policy in a resource-rich developing economy (i.e. Iran).

Building industrial clusters is getting much more political attention and strategic orientation in all developing countries. This study started by revising the conceptual and theoretical frameworks for industrial clusters, followed by some insights and contributions about empirical bases for clusters' dynamics and processes. The study focused on the case of Agadir Agreement between four Arab countries (Egypt, Jordon, Morocco, and Tunisia), which was initiated after the Euro-Mediterranean partnerships, and the rationale of the agreement was based on the concept of cumulative value-added origin. The study based its methodology on analyzing the international and bilateral trade flows of six industrial goods from the automotive sector among the four countries and with the EU countries to detect the degree of industrial collaboration and the achieved success of each country in this sector. The study indicated that the four countries used the concept of industrial clusters for economic development, but the results of the analysis showed that till now Agadir Agreement only achieved a shallow integration, while failed to deeply integrate as one big collaborative industrial cluster.

The study's objective is to measure the response of the food prices to the aggregate and disaggregate geopolitical risk events, Russia's geopolitical risks and global energy prices in the context of two European regions, i.e. Eastern and Western Europe covering the monthly data from January 2001 to March 2022.

The authors apply a novel and sophisticated econometric method, the cross-quantilogram (CQ) approach, to analyse the authors’ monthly data properties. This method detects the causal relationship between the variables under the bi-variate modelling approach. More importantly, the CQ procedure divulges the bearish and bullish states of the causal association between the variables under short, medium and long memories.

The authors find that aggregate measures of geopolitical risk reduce food prices in the short term in the Eastern Europe but increases food prices in the Western Europe. Besides, the decomposed measures of geopolitical risk “threats” and “acts” have heterogeneous effects on the food prices. More importantly, Russia's geopolitical risk events and global energy prices enhance the food inflation under long memory.

The authors provide diverse policy implications for Eastern and Western Europe based on the authors’ findings. First, the European policymakers should take concrete and joint policy measures to tackle the detrimental effects of geopolitical risks to bring stability to the food markets. Second, this region should emphasize utilizing their unused agricultural lands to grow more crops to avoid external dependence on food. Third, the European Union and its partners should begin global initiatives to help smallholder farmers because of their contribution to the resilience of disadvantaged, predominantly rural communities. Fourth, geopolitically affected European countries like Ukraine should deal with a crippled supply chain to safeguard their production infrastructure. Fifth, fuel (oil) scarcity in the European region due to the Russia-Ukraine war should be mitigated by searching for alternative sources (countries) for smooth food transportation for trade. Finally, as Europe and its Allies impose new sanctions in response to the Russia-Ukraine war, it can have immediate and long-run disastrous consequences on the European and the global total food systems. In this case, all European blocks mandate cultivating stratagems to safeguard food security and evade a long-run cataclysm with multitudinous geopolitical magnitudes for European countries and the rest of the world.

This is the maiden study that considers the aggregated and disaggregated measures of the geopolitical risk events, Russia's geopolitical risks and global energy prices and delves into these dynamics' effects on food prices. Notably, linking the context of the Russia-Ukraine war is a significant value addition to the existing piece of food literature.

This paper aims to propose a framework that combines the triple helix model with competitive strategies concepts to capture and guide any innovation-led national development strategies.

This paper adopted a methodological framework based on existing methods and guidelines, the most commonly reported approach for developing a methodological framework. The review of fundamental approaches to achieving fast and sustained economic development, triple helix model and competitive strategies helped develop the methodological framework. The framework was validated and tested using the case studies approach on Korea, Taiwan and Singapore.

Kuwait aims to create an innovative environment to benefit from the innovation strategies anchored by the East Asian miracle economies and how they used the triple helix actors at different developmental stages. First, Kuwait’s research institutes and universities need to design interactive programs and activities with industry and community to help innovate solutions to current and prospective challenges. Second, the government needs to provide a competitive business environment and effective policies. Thirdly, the Kuwait industry must be encouraged to innovate and infuse modern technology practices.

Developing countries are trying to use science, technology and innovation as an effective strategy for achieving sustained economic growth. However, since each country has its unique conditions, learning from other success stories proved difficult if not structured in a framework designed to serve a specific purpose such as the one the authors propose in this paper.

This study aims to assess the efficiency of managing working capital in 1,388 Indian manufacturing firms from 2008 to 2019 and investigate the effects of firm-specific and macro-level determinants on working capital management (WCM) efficiency.

The current study accommodates a slack-based measure (SBM) in data envelopment analysis (DEA) for computing WCM efficiency. Further, we implement a panel data fixed-effects model that controls for heterogeneity across firms in determining the relationships of selected variables with WCM efficiency.

The results highlight that manufacturing firms operate at around 50 percent efficiency, which is constant throughout the study period. Furthermore, among the selected variables, yield, earnings, age, size, ability to create internal resources, interest rate and gross domestic product (GDP) significantly affect WCM efficiency.

Instead of the traditional models used for assessing efficiency, the SBM-DEA model is unit-invariant and monotone for slacks, implying that it can handle zero and negative data, which overcomes the incapability of prior DEA models. Hence, this provides accurate efficiency scores for robust analysis. Additionally, this paper provides a holistic working capital model recognizing firm-specific and macro-level determinants for a more explicit estimation of the relationship between WCM efficiency and the selected determinants.

The purpose of this study is to apply the regulatory dialectic to describe the evolution of trade-based money laundering (TBML) schemes, to describe three recent TBML innovations uncovered by a large bank in the important global trade jurisdiction of the United Arab Emirates (UAE), and to provide recommendations for an effective regulatory response.

The methodology used is a caselet approach with three examples of TBML schemes recently foiled in the UAE as well as an application of the regulatory dialectic literature to TBML.

The implications of the regulatory dialectic for research regarding TBML and associated regulation and compliance will enable regulators, the financial services sector and academics to understand TBML and the ever-evolving steps criminals are taking to circumvent the changing landscape of regulation and controls implemented by the financial services sector and customs tasked with mitigating such behaviour. This paper will bring awareness of the evolution of TBML, the controls and frameworks that may be used to prevent, detect and investigate some of the complex schemes of TBML.

The regulatory dialectic theory provides insights into the evolution of TBML schemes as well as why compliance activities tend to be reactive, rather than proactive. The cases covered in this paper provide insights into the nature of this circular process between financial crime and regulation, which is useful for anti-financial crime professionals and regulators focusing on deterrence.

The UAE is a small, rapidly developing trade and finance center in the Middle East, surrounded by nations that are sanctioned, in active conflicts, politically unstable and/or highly corrupt. TBLM undermines the security of the UAE; the authors provide insights into criminal innovations and regulatory responses.

To promote the safety and stability of the ten million residents of the UAE, and others in the Middle East and North Africa (MENA) region, it is important to understand the process of innovation in TBML schemes and regulatory response.

To the best of the authors’ knowledge, this paper is the first to apply the regulatory dialectic theory to TBML to describe innovation in TBML schemes and to provide cases describing contemporary TBML innovations in the MENA region.