Search results

1 – 5 of 5
Article
Publication date: 15 July 2022

Syed Ale Raza Shah, Daniel Balsalobre-Lorente, Magdalena Radulescu, Qianxiao Zhang and Bilal Hussain

This paper aims to emphasize economic complexity, tourism, information and communication technology (ICT), renewable energy consumption and foreign direct investment (FDI) as the…

Abstract

Purpose

This paper aims to emphasize economic complexity, tourism, information and communication technology (ICT), renewable energy consumption and foreign direct investment (FDI) as the determinants of carbon emissions.

Design/methodology/approach

These economies rely on the tourism sector, and Asian countries rank among the top tourism economies worldwide in terms of tourism receipts. This study uses a series of empirical estimators, i.e. cross-sectional augmented auto-regression distributive lag and panel cointegration, to validate the main hypotheses.

Findings

The econometric results confirm an inverted U-shaped association between economic complexity and carbon emissions, validating the economic complexity index induced environment Kuznets curve hypothesis for the selected Asian economies.

Research limitations/implications

Finally, the empirical results admit articulating some imperative policy suggestions to attain a sustainable environment on behalf of outcomes.

Practical implications

Furthermore, ICT and renewable energy consumption are environment-friendly indicators, while FDI and the international tourism industry increase environmental pressure in selected countries. In addition, this study also explores the interaction between renewable energy and ICT with FDI and their effects on carbon emissions. Interestingly, both interaction terms positively respond to the environmental correction process.

Originality/value

Because ICT with FDI may not reduce environmental pollution unless the energy used in FDI projects is greener. Moreover, in Asian economies, industrial and other sectors could increase environmental quality via the role of ICT in FDI.

修正亚洲前 8 大经济体的旅游环境库兹涅茨曲线假设:ict 和可再生能源消耗的作用

研究设计/方法/途径

这些经济体依赖旅游业, 就旅游收入而言, 亚洲国家在全球旅游经济体中名列前茅。本研究使用一系列经验估计量, 即 CS-ARDL 和面板协整来验证我们的主要假设。

研究目的

本文强调经济复杂性、旅游、信息和通信技术 (ICT)、可再生能源消费和外国直接投资 (FDI) 作为碳排放的决定因素

研究发现

计量经济学结果证实了经济复杂性与碳排放之间的倒 U 型关联, 验证了 ECI 对选定亚洲经济体的环境库兹涅茨曲线 (EKC) 假设。

研究限制/影响

最后, 实证结果承认阐明了一些必要的政策建议, 以代表结果实现可持续环境。

实践意义

此外, 信息通信技术和可再生能源消耗是环境友好型指标, 而外国直接投资和国际旅游业增加了选定国家的环境压力。此外, 本研究还探讨了可再生能源和 ICT 与外国直接投资之间的相互作用及其对碳排放的影响。有趣的是, 这两个交互项都对环境校正过程做出了积极响应。

研究原创性/价值

ICT 与 FDI 可能不会减少环境污染, 除非 FDI 项目中的能源使用更环保。此外, 在亚洲经济体中, 工业和其他部门可以通过 ICT 在 FDI 中的作用提高环境质量。

关键词

环境库兹涅茨曲线; 外商直接投资;信息和通信技术; 可再生能源;旅游;亚洲主要旅游经济体

文章类型: 研究型论文

Details

Journal of Hospitality and Tourism Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-9880

Keywords

Article
Publication date: 22 September 2022

Tazeen Arsalan, Bilal Ahmed Chishty, Shagufta Ghouri and Nayeem Ul Hassan Ansari

This research paper aims to analyze the stock exchanges of developed, emerging and developing countries to investigate the volatility in stock markets and to evaluate the rate of…

Abstract

Purpose

This research paper aims to analyze the stock exchanges of developed, emerging and developing countries to investigate the volatility in stock markets and to evaluate the rate of mean reversion.

Design/methodology/approach

The stock exchanges included in the research are NASDAQ, Tokyo stock exchange, Shanghai stock exchange, Bombay stock exchange, Karachi stock exchange and Jakarta stock exchange. Secondary daily data from Bloomberg are used to conduct the research for the period from January 2011 to December 2018. Generalized autoregressive conditional heteroskedasticity (GARCH) (1,1) model was applied to examine volatility and the half-life formula was used to calculate mean reversion in days.

Findings

The research concluded that all the stock exchanges included in the research satisfy the assumptions of mean reversion. Developing countries have the lowest volatility while emerging countries have the highest volatility which means that the rate of mean reversion is fastest in developing countries and slowest in emerging countries.

Research limitations/implications

Future studies can determine the reasons for fastest rate of mean reversion in developing countries and slowest rate of mean reversion in emerging countries.

Practical implications

Developing countries show the lowest mean reversion in days while the emerging countries show the highest mean reversion in days indicating that developing countries take less time to revert to their mean position.

Originality/value

The majority of previous studies on univariate volatility models are mostly on applications of the models. Only a few researchers have taken the robustness of the models into account when applying them in emerging countries and not in developed, developing and emerging countries in one place. This makes the current study unique and more rigorous.

Details

Journal of Economic and Administrative Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 1 May 2024

Ashish Paul, Bhagyashri Patgiri and Neelav Sarma

Flow induced by rotating disks is of great practical importance in several engineering applications such as rotating heat exchangers, turbine disks, pumps and many more. The…

Abstract

Purpose

Flow induced by rotating disks is of great practical importance in several engineering applications such as rotating heat exchangers, turbine disks, pumps and many more. The present research has been freshly displayed regarding the implementation of an engine oil-based Casson tri-hybrid nanofluid across a rotating disk in mass and heat transferal developments. The purpose of this study is to contemplate the attributes of the flowing tri-hybrid nanofluid by incorporating porosity effects and magnetization and velocity slip effects, viscous dissipation, radiating flux, temperature slip, chemical reaction and activation energy.

Design/methodology/approach

The articulated fluid flow is described by a set of partial differential equations which are converted into one set of higher-order ordinary differential equations (ODEs) by using convenient conversions. The numerical solution of this transformed set of ODEs has been spearheaded by using the effectual bvp4c scheme.

Findings

The acquired results show that the heat transmission rate for the Casson tri-hybrid nanofluid is intensified by, respectively, 9.54% and 11.93% when compared to the Casson hybrid nanofluid and Casson nanofluid. Also, the mass transmission rate for the Casson tri-hybrid nanofluid is augmented by 1.09% and 2.14%, respectively, when compared to the Casson hybrid nanofluid and Casson nanofluid.

Originality/value

The current investigation presents an educative response on how the flow profiles vary with changes in the inevitable flow parameters. As per authors’ knowledge, no such scrutinization has been carried out previously; therefore, our results are novel and unique.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

Keywords

Article
Publication date: 26 July 2023

Demet Beton Kalmaz and Tomiwa Sunday Adebayo

This paper aims to assess the moderating role of foreign direct investment (FDI) on the effect of economic complexity on carbon emissions, considering other drivers of carbon…

Abstract

Purpose

This paper aims to assess the moderating role of foreign direct investment (FDI) on the effect of economic complexity on carbon emissions, considering other drivers of carbon emissions such as renewable energy use and economic growth, using data set spanning between 1990 and 2018 in BRICS nations.

Design/methodology/approach

This research aims to fill the gap in ongoing literature. Cross-sectional IPS and cross-sectional augmented Dickey–Fuller tests, fully modified ordinary least square, dynamic ordinary least square, fixed effect ordinary least square, Westerlund cointegration and method of moments quantile regression (MMQR) econometric approaches are applied.

Findings

The Westerlund cointegration outcomes disclosed long-run interconnectedness between carbon emissions and its drivers. Furthermore, MMQR outcomes disclosed that in each tail (0.1–0.90), economic growth and economic complexity contribute to upsurge in carbon emissions while in each quantile (0.1–0.90) renewable energy abate carbon emissions. Furthermore, we affirmed the pollution-haven and environmental Kuznets curve hypotheses across all quantiles (0.1–0.90). Finally, at all quantiles (0.1–0.90), the joint effect of both FDI inflows and economic complexity reduced carbon emissions. Furthermore, the panel causality outcomes disclosed that all the exogenous variables can predict carbon emissions. Based on the findings, BRICS nation’s policymakers should place a greater emphasis on FDI inflows because it aids in abating environmental degradation.

Originality/value

To the best of the authors’ knowledge, this is the first research to test the moderating role of FDI on the effect of economic complexity on carbon emissions. Hence, this research aims to fill the gap in ongoing literature.

Details

International Journal of Energy Sector Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 1 June 2023

Ambreen Sarwar, Muhammad Kashif Imran, Hira Hafeez, Muhammad Zaheer and Tehreem Fatima

The study aims to investigate the impact of workplace ostracism (WO) and fear of the COVID-19 pandemic on the family life of restaurant employees. This research is based on the…

Abstract

Purpose

The study aims to investigate the impact of workplace ostracism (WO) and fear of the COVID-19 pandemic on the family life of restaurant employees. This research is based on the conservation of resources (COR) theory and work–family interface model to understand the theoretical underpinnings of mistreatment in the food sector during the COVID-19 pandemic.

Design/methodology/approach

The study utilized a survey with a structured questionnaire to collect time-lagged data from 238 restaurant employees in the central region of Punjab province in Pakistan. The collected data were analyzed using the SPSS tool with modern-day techniques like bootstrapping, process macro and SmartPLS.

Findings

The study reveals that perceived stress levels of the employees increase due to ostracism, leading to work–family conflict. Furthermore, the study found that employees who fear COVID-19 are less stressed by ostracism.

Originality/value

The study's significant contribution lies in demonstrating that the impact of ostracism in the workplace is quite different from what was expected. The results have shown that ostracism can reduce the perceived stress levels of employees, leading to a decrease in work–family conflict, especially in the presence of fear of COVID-19.

Details

Personnel Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0048-3486

Keywords

1 – 5 of 5