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The purpose of this chapter is to describe and analyze the economic advantage of the geographical location of the Republic of Belarus. The current state of the Belarusian logistics system is analyzed in detail in the chapter. Thus effects of each direction of transportations are analyzed and also approaches to assessment of their cost efficiency are formulated. The factors influencing the export of transport services as well as the development of trends in the transport sector of Belarus are defined. The main directions and ways of improvement of logistics in the Republic of Belarus are described.

The contribution of the Indian Automobile industry in the economic growth of the country is significantly high. Besides catering to a large domestic market, the automobile industry in India has also captured market shares in many foreign countries successfully in the last few decades. Not only is it an important export-oriented industry of the nation but also the fourth largest exporter of automobiles in Asia. However, in the recent years (2018–2019), it has faced an unprecedented slump. This chapter captures this fact by calculating the growth of car selling for the four quarters of the period 2018–2019 across the Indian states. It primarily tries to find out whether the variation in income and tax levied on petrol and diesel has an impact on the variation in the car selling across the states for the abovementioned time period. It has been proven from our study that higher income of a state has a positive impact, whereas higher tax on petrol and diesel which varies across the states has a negative impact on car selling. Apart from this, this study then distinctively tries to find out whether there exists any neighborhood impact on growth rate of car selling and different tax rate on petrol and diesel on the basis of Moran's Index. It is witnessed that there exists a high level of spatial autocorrelation among the different states in case of growth of a car selling and tax imposition on diesel as well as on petrol. This fact necessitates some degree of regional orientation in formulating an effective policy to revive the automobile industry on the part of the Government.

Existing studies about airline productivity and cost competitiveness are focusing on combination carriers, transporting both passengers and cargo in the same aircraft and with the same inputs. Scientific research about the cost structure and productive performance of all-cargo carriers is very limited. However, the importance of air cargo and express transport in our globalized economy, the high volatility of all-cargo carriers (especially since the 2008 economic crisis), and the success of integrators show the need for more scientific attention to this industry. This chapter aims at benchmarking the productivity and cost competitiveness of US integrated and non-integrated cargo carriers, based on total factor productivity and unit cost competitiveness analyses. The results unveil a positive correlation between productivity on the one hand and the size of the carrier and its average stage length on the other hand, indicating economies of scale. Correcting the results for such factors beyond managerial control and input prices allows us to measure the impact of the crisis and the consequences for the management of the individual carriers.

The regulatory framework may be construed as the existence of supporting infrastructure that assists in control, direction/implementation of a proposed course of law, rule or action. The regulatory order is now more formalized, expert-driven, transparent, independent and pervasive across countries and sectors. As a result, regulatory reforms enable markets to function efficiently by providing a supportive environment for increased investment, private sector growth and market-led economic growth. This study aims to review previous literature for understanding the impact of sectoral regulatory framework on sectoral performance.

This paper has adopted a systematic literature review to understand dynamics between the sectoral regulatory framework and sectoral performance. While seven multidisciplinary databases were used to identify 51 research articles, the bibliometric research profiling was executed to broaden academic research.

The results are organized into three broad categories: research context, research area and research methods. The identified articles exhibited association with 12 distinct sectors/industries, with maximum articles belonging to telecom, energy and finance industries. The study has focused on evolution of regulatory studies, impact of regulatory framework on sectoral performance and commonality in regulatory studies. Among the 15 distinct research contexts identified in this systematic literature review (SLR), the highest mapping was registered (from 23 articles) by the research context “impact of regulatory framework on the sector–institutions, infrastructure and performance indicators.”

Public administration researchers are increasingly using mixed methods research approaches to add diverse and novel perspectives on wicked problems. The qualitative approach (grounded theory, action research, phenomenology and participant observations) is appropriate for understanding the native viewpoints of regulatory practitioners and reducing the gap between rigor and relevance.

The study addresses lack of systematic review of articles covering the impact of regulatory framework on sectoral performance encompassing all sectors by, inter alia, collating important bibliometric profiles of the identified articles.

The purpose of this paper is to illustrate the use of a domain-specific research instrument (the wine-related lifestyle (WRL)) to determine the different lifestyle-related wine market segments in a country and compare the findings cross-culturally.

The research instrument included 48 psychographic activities, interests and opinions (AIO) statements, plus socio-demographic, product consumption and purchasing questions. A final sample of 376 South African wine consumers was utilised, whereon exploratory and confirmatory factor analysis, combined with Hough’s Euclidean test, were applied to determine the existence of clusters (segments), assign descriptions to them, and link these to product consumption data.

Five wine segments recurred when comparing wine market segmentation studies cross-culturally. This means that cross-culturally, similar types of people drink wine with similar AIOs towards wine. In the South African market, four of these segments were identified.

This study achieved a robust lifestyle-based market segmentation algorithm which can be used by researchers in different country environments for wine as a domain-specific product.

The contribution of this research is threefold in that it tested the WRL instrument in a cross-cultural context which is the first time this has been done; in the process it interpreted the wine consumer segments in South Africa for the first time; using a WRL-based (AIO) approach. The study demonstrated that market segmentation based on psychographic (lifestyle) behaviour is strengthened when supported by two additional segmentation methods, namely, socio-demographics and product involvement (purchasing and consumption).

This paper applied grey wave forecasting in a decomposition–ensemble forecasting method for modelling the complex and non-linear features in time series data. This application aims to test the advantages of grey wave forecasting method in predicting time series with periodic fluctuations.

The decomposition–ensemble method combines empirical mode decomposition (EMD), component reconstruction technology and grey wave forecasting. More specifically, EMD is used to decompose time series data into different intrinsic mode function (IMF) components in the first step. Permutation entropy and the average of each IMF are checked for component reconstruction. Then the grey wave forecasting model or ARMA is used to predict each IMF according to the characters of each IMF.

In the empirical analysis, the China container freight index (CCFI) is applied in checking prediction performance. Using two different time periods, the results show that the proposed method performs better than random walk and ARMA in multi-step-ahead prediction.

The decomposition–ensemble method based on EMD and grey wave forecasting model expands the application area of the grey system theory and graphic forecasting method. Grey wave forecasting performs better for data set with periodic fluctuations. Forecasting CCFI assists practitioners in the shipping industry in decision-making.

This paper aims to examine the relationship between tourism development and income inequality, closely linked to the Sustainable Development Goals, for the case of a large sample of 83 countries (and subsamples) over the period 1990–2019.

This study uses rigorous dynamic panel data analysis, namely, a Panel Vector Autoregressive Error Correction model, which takes into account both dynamic and endogenous relationships in the tourism-inequality nexus.

The results provide strong support that tourism development has an income inequality reducing effect (albeit relatively small with a reported elasticity of 0.05). Subsamples analysis reveals that the impact of tourism on income inequality varies and is relatively larger in developing economies and those tourist-dependent economies, as compared to developed economies. In fact, it is reported that a 1% increase in tourism development reduces income inequality by 0.46% for developing and 0.56% for tourist-dependent economies as compared to only 0.02% in developed economies. It is further observed that tourism may affect income inequality indirectly via economic growth.

This paper attempts to supplement the dearth literature on the tourism-inequality nexus by analyzing subsamples from a large data set while also using a dynamic panel data framework. The potential indirect effect of tourism on inequality via the economic growth channel is also explored.

该研究采用了严格的动态面板数据分析, 即面板向量自回归误差修正模型（PVEM）, 该模型考虑到了旅游业不平等关系中的动态和内生关系。

本文以1990–2019年期间83个国家（及其子样本）的大样本为例, 研究旅游业发展与收入不平等之间的关系。

本研究结果证明, 旅游业发展具有减少收入差距的作用（尽管相对较小, 报告的弹性为0.05）。子样本分析显示, 与发达经济体相比, 旅游业对收入不平等的影响在发展中经济体和那些依赖游客的经济体中存在差异且相对较大。事实上, 据报道, 旅游业发展每增加1%, 发展中经济体的收入差距就会缩小0.46%, 依赖旅游的经济体会缩小0.56%, 而发达经济体的差距仅缩小0.02%。本研究进一步观察到, 旅游业可能通过经济增长间接影响收入差距。

本文试图通过分析大型数据集的子样本, 同时采用动态面板数据框架, 来补充关于旅游与不平等关系的文献的不足。本文还探讨了旅游业通过经济增长渠道对不平等的潜在间接影响。

El estudio emplea un riguroso análisis dinámico de datos de panel, concretamente un modelo de corrección de errores autorregresivo vectorial de panel (PVEM), que tiene en cuenta tanto las relaciones dinámicas como las endógenas en el nexo turismo-desigualdad

Este documento examina la relación entre el desarrollo del turismo y la desigualdad de ingresos, estrechamente vinculada a los Objetivos de Desarrollo Sostenible, para el caso de una amplia muestra de 83 países (y submuestras) durante el periodo 1990-2019.

Los resultados apoyan firmemente que el desarrollo turístico tiene un efecto reductor de la desigualdad de ingresos (aunque relativamente pequeño, con una elasticidad declarada de 0,05). El análisis de submuestras revela que el impacto del turismo en la desigualdad de ingresos varía y es relativamente mayor en las economías en desarrollo y en aquellas economías dependientes del turismo, en comparación con las economías desarrolladas. De hecho, se informa de que un aumento del 1% en el desarrollo del turismo reduce la desigualdad de ingresos en un 0,46% en las economías en desarrollo y en un 0,56% en las economías dependientes del turismo, frente a sólo un 0,02% en las economías desarrolladas. Se observa además que el turismo puede afectar indirectamente a la desigualdad de ingresos a través del crecimiento económico.

El artículo intenta complementar la escasa bibliografía sobre el nexo entre turismo y desigualdad analizando submuestras de un gran conjunto de datos y empleando un marco dinámico de datos de panel. También se explora el posible efecto indirecto del turismo sobre la desigualdad a través del canal del crecimiento económico.

This paper aims to examine the impact of deregulation on the European transport industry in the form of privatization, on the managerial efficiency of a panel of deregulated transport companies.

This research examines a data set of 25 deregulated transport companies from a sample of 12 EU nations from 1988 to 2015. Some studies have analyzed deregulation by using non-parametric models. However, only a limited number of studies focus on the impact of deregulation on the managerial efficiency. This study answers two questions: whether deregulation, in the form of privatization, in the transport sector has any effect on the managerial efficiency, on the profitability and on the investment decisions of the firm, and whether this premise is robust enough across the European transport industry. This study formulates a multivariate regression framework utilizing data from major privatized European transport companies. The final panel includes 25 companies, from 12 EU - Member States for the period 1988-2015, equaling 375 firm-year observations based on a rigorous selection methodology.

The study confirms that transport companies, post-privatization, are more efficient regarding operating efficiency and profitability. The authors find no evidence that deregulation improves investment efficiency.

The study addresses the regulators’ dilemma, whether to deregulate, by focusing on analyzing the improvement of the managerial efficiency.

This study contributes to the transport industry management literature in three ways. First, the authors update the literature of the economic theory of regulation with an empirical examination which covers the latest years across the EU Member States. Second, the authors introduce a comparison of the effects of deregulation on different components of the managerial efficiency, namely, investment, profitability and operating efficiency of the incumbents in the EU transport industry. Third, they examine deregulation by using two approaches: a traditional one where deregulation is a dummy variable assessing the overall effect on incumbents’ efficiency performance; and a novel approach where the Organisation for Economic Co-operation and Development’s deregulation index is used to measure the regulation intensity, accounting also for industry-wide impact assessment. This two-sided approach increases the robustness of the results.

This purpose of the study was to examine the relevance of the presence of geographical information, specifically the certification of region of origin (ROO) on the wine label, in the consumer’s wine purchase decision. In addition, the research investigated how the relevance of ROO varies across demographic and behavioural market segments.

The data gathered via an online questionnaire from 434 South African wine consumers were analysed by employing both descriptive and inferential statistical methods.

The ROO of wine plays a secondary role in influencing consumers when faced with a purchasing decision on its own. However, as part of the composite regional variable, namely, grape variety, region and wine style, it plays a major role in influencing consumers. The specific wine grape variety emerged as the most important factor influencing consumers. It was also found that consumers with a high involvement and interest in wine assign a higher degree of relevance to certification of origin of wine than consumers with a low involvement.

Wine producers should strive to create a “lighthouse” identity in the minds of consumers. This can only be achieved if most, if not all, the wine producers in a specific geographical area consistently and authentically communicate the same message and offer products with a lighthouse identity to wine consumers.

This is the first study that examines the impact of ROO as an information cue on consumers’ wine purchase decision-making in South Africa. It is of value to academic researchers, wine marketing professionals and generic marketing organisations such as wine route organisations.