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This study aims to ascertain the greenest helicopters by modeling joint parameters to make sense of induced emissions effects of helicopters allocated to various categories.

Emission indexes of helicopters construct the pillars of the methodology under use. Three different parameters are derived from emission indices: the index showing grams of pollutants that an engine produces per kWh; the index comparing of pollutant mass depending on the energy content of the fuel; and the index expressing the presence of the unreacted hydrocarbon (unburned) released into the atmosphere as a result of the combustion reaction.

Various helicopters have been designated as sensitive and insensitive to the environment under various conditions and in different categories. Details are in the conclusions section.

This study includes methods that can be used to select environmentally sensitive helicopters of various categories according to specific pollutants and their combustion efficiency.

The originality of the work lies in the determination of the most sensitive and insensitive to the environment by using true flight data of helicopters operating in various categories during different flight phases. In addition, this paper with an approach to identifying green helicopters has the capability to support studies on regulations for helicopters in some countries by policymakers.

Strategic management of facilities is now generally accepted best practice. Appraisal of facility performance has developed correspondingly and financial measures are no longer seen as the prime indicator of success. Holistic models that include the processes supporting fulfilment of an organisation’s strategic aims are now considered to provide more appropriate measures. Recent focus in the service‐oriented context of local government authority (LGA) facility management has particularly turned toward such models. This paper discusses the issues and inherent tensions arising from the strategic measurement of local government facilities in a service delivery context. It is argued that outwardly the strategic objective of service delivery is common to the private and public sectors, but fundamental differences in the desired outcomes and responsibilities of the two sectors require different solutions. Even if one accepts the current trend in ‘balanced’ performance measurement, differing parameters in the private and public sectors impact on the design and evaluation of performance measures, especially in relation to process, efficiency, strategy formulation and responsiveness of the organisation to customer needs. If a facility is considered to be an enabler of processes that lead to desired outcomes, these differences must necessarily affect the design of facility performance measurement tools. The research with eight LGAs, reported here, supports the need for a new model for the evaluation of community facilities applicable in the local government context. Using stakeholder‐based focus groups, the need was identified for a service‐oriented model, where the facility is understood as the intersection of aspects of service provision, physical building substance and the community utilising the facility.

THE firm of Jessop‐Saville Ltd., which dates back to 1774, has become well established as a supplier of special steels and alloys. Their progress in this field has been maintained only by continual research and a readiness to adopt new techniques and equipment.

Introduction: The Internet has tremendously transformed the computer and networking world. Information reaches our fingertips and adds data to our repository within a second. Big data was initially defined as three Vs, where data come with greater variety, increasing volumes and extra velocity. Big data is a collection of structured, unstructured and semi-structured data gathered from different sources and applications. It has become the most powerful buzzword in almost all the business sectors. The real success of any industry can be counted based on how the big data is analysed, potential knowledge is discovered and productive business decisions are made. New technologies such as artificial intelligence and machine learning have added more efficiency to storing and analysing data. This big data analytics (BDA) becomes more valuable to those companies, focusing on getting insight into customer behaviour, trends and patterns. This popularity of big data has inspired insurance companies to utilise big data at their core systems and advance the financial operations, improve customer service, construct a personalised environment and take all possible measures to increase revenue and profits.

Purpose: This study aims to recognise what big data stands for in the insurance sector and how the application of BDA has opened the door for new and innovative changes in the insurance industry.

Methodology: This study describes the field of BDA in the insurance sector, discusses the benefits, outlines tools, architectural framework, the method, describes applications in general and specific and briefly discusses the opportunities and challenges.

Findings: The study concludes that BDA in insurance is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however, there remain challenges to overcome.

Introduction: The liberalization tendency in the economic system of most countries in the world exists in the last years. Our last research proves that in most cases liberalism gives a positive effect on social-economic development (including pension system). However, constructive potential of economic liberalism is not everlasting, it means, first at some stages there is a certain end for the liberalization of the economy. Secondly, after a certain level (before the last level) liberalism may bring out an imminent shortage (the market sinister) in the free market in a destructive way. That is why one of the essential (and very difficult) duties of economic science is to define effective ranges of liberalism (accordingly, government regulation) for each certain country during a specific time frame. One of the differences of the pension system from other social protected chains is that this system is capable to liberalize. Is it possible to measure the degree of the government regulation of the pension system? Unfortunately, this chapter has revealed that there is no such methodology. The author has created a methodology for the first time that allows to measure the degree of government regulation in the pension system. This methodology is called the Index of Liberalism (Dirigisme) of Pension System (IL(D)PS). By calculating IL(D)PS, the author finds out that the regulation degree (interval) of the pension system. Measurement of the degree of government regulation in the pension system allows evaluating the social consequences of the implemented reforms. IL(D)PS has been calculated on the basis of four indicators: (i) ratio of the private pension assets (%GDP); (ii) ratio of the public pension expenditures (%GDP); (iii) social security tax rates for employers; and (iv) restrictions for investment of the pension funds. At the initial stage IL(D)PS has been calculated for 31 countries. Among 31 countries, there are developed, emerging, post-socialist countries and countries known for their revolutionary reforms in the pension system. According to IL(D)PS, the most dirigiste (leftness) countries are France (0.868), Greece (0.732), Italy (730) and Azerbaijan (0.704). According to the IL(D)PS, the most liberal (rightness) countries are Australia (0.208), Denmark (0.223), the Netherlands (0.231) and Canada (0.237). In Azerbaijan, pension provision is under governmental monopoly (extreme dirigiste system). The private pension system in Azerbaijan has not been formed yet. Azerbaijan has a certain degree of liberalization of the pension system. Aim: The author wants to measure the degree of the government regulation in the pension system. Method: The author have performed correlation, analytical-statistical and cross-country analyze. Findings: The degree of the government regulation in the pension system has been measured in 31 countries.

We show that a social planner who seeks to allocate a given sum in order to reduce efficiently the social stress of a population, as measured by the aggregate relative deprivation of the population, pursues a disbursement procedure that is identical to the procedure adhered to by a Rawlsian social planner who seeks to allocate the same sum in order to maximize the Rawlsian maximin-based social welfare function. Thus, the constrained minimization of aggregate relative deprivation constitutes an economics-based rationale for the philosophy-based constrained maximization of the Rawlsian social welfare function.

This study forecasts the government expenditure components in Nigeria, including recurrent and capital expenditures for 2021 and 2022, based on data from 1981 to 2020.

The study employs statistical/econometric problems using the Feasible Quasi Generalized Least Squares approach. Expenditure forecasts involve three simulation scenarios: (1) do nothing where the economy follows its natural path; (2) an optimistic scenario, where the economy grows by specific percentages and (3) a pessimistic scenario that defines specific economic contractions.

The estimation model is informed by Wagner's law specifying a positive link between economic activities and public spending. Model estimation affirms the expected positive relationship and is relevant for generating forecasts. The out-of-sample results show that a higher proportion of the total government expenditure (7.6% in 2021 and 15.6% in 2022) is required to achieve a predefined growth target (5%).

This study offers empirical evidence that specifically requires Nigeria to invest a ratio of 3 to 1 or more in capital expenditure to recurrent expenditure for the economy to be guided on growth.

The present study aims to examine the moderating impact of governance quality on the tourism poverty nexus using a panel of six South Asian Association for Regional Cooperation (SAARC) countries during the period 2002 to 2019.

For the soundness of the results, fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) econometric models were applied to determine the long-run relationship.

The findings confirmed the positive and significant impact of tourism development (international tourism arrival) and governance quality (effectiveness of governmental services) on poverty (per capita household consumption) reduction. Interestingly results confirm that governance quality and tourism development have complementary impacts on poverty reduction.

The present study has twofold contributions; First, despite the high potential of SAARC tourism, research remains limited in studies examining the role of tourism and governance quality on poverty reduction within the SAARC region. As a result, the present paper presents critical insights into the impact of tourism inflow and governance quality on poverty reduction in South Asian countries. Second, to the best of the author's knowledge, this is the first attempt to conduct an econometric analysis to examine the role of governance quality on the relationship between tourism inflow and poverty reduction in SAARC countries.

Basic income (BI) is predicted to be the major economic intervention in response to raising income inequality and accelerating technological progress. Financing is often the first question that arises when discussing a BI. A thorough answer to this question will determine the sustainability of any BI program. However, BI experiments implemented worldwide have not answered this question. This paper explores two options for a BI program in Australia: (1) BI and (2) top-up basic income (TBI).

The authors employ “back-of-the-envelope” calculations with the latest publicly available data on income distribution, the poverty line and the share of income tax in the government revenue to estimate the costs of implementing BI in Australia.

Even without any change in the current tax regulations, the TBI option, which requires a contribution of 2–3% disposable income from net contributors, will guarantee that no Australian family lives under the current national poverty line. The BI for all options is not financially feasible under the current tax and transfer regulations because it requires an additional tax rate of at least 42% of disposable income from net contributors.

The results of this study can serve as inputs for the design and implementation of BI options in Australia and similar countries.

This is the first paper that examines the macroeconomic effects of BI options in Australia.

The purpose of the article is to develop a new institutional approach to build the social market economy, which would allow balancing traditions and innovations, stability and technological progress in view of the specifics and priorities of the national economy, based on which regional models of social management will be built. The research study is performed to develop new institutional approach by the example of modern Russia by determining the institutional matrix of social management in economies of the regions that achieved the highest progress in formation of the social market economy.

The authors use the proprietary methodology of evaluating the level of sociality of state management in region's economy, which includes the estimate formula and the scale for qualitative treatment of the results. The research subjects are top ten regions of Russia listed in the quality of life index in the year 2019.

The authors determine the regression dependence of the sociality index of state management in region's economy on the selected factors and compile the equation of multiple linear regression, as well as determine the optimal influence of the factors on state management of region's economy for increasing its sociality to the maximum level possible.

The specifics of building the social market economy in Russia are determined. Based on the established national peculiarities of the social market economy in Russia, the institutional matrix of social management in the Russian regions' economy is developed and it allows for optimal balance of stability and sustainability with innovations and digitalization.