Critical factors influencing wind power industry: A diamond model based study of India

Irfan, Muhammad; Zhao, Zhenyu; Ahmad, Munir; Mukeshimana, Marie Claire

doi:10.1016/j.egyr.2019.08.068

Cited by 77 publications

(38 citation statements)

References 48 publications

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“…The findings revealed that high costs increase the strain of patients, leading to adverse health effects by decreasing adherence to necessary medications. Although the costs of PPE and healthcare items have declined during the last decade, they still cost more than the affordability of most people living in developing countries [ 49 , 50 ]. These research outcomes allowed us to devise the third hypothesis as follows:…”

Section: Methodsmentioning

confidence: 99%

Assessing Public Willingness to Wear Face Masks during the COVID-19 Pandemic: Fresh Insights from the Theory of Planned Behavior

Irfan

Akhtar

Ahmad

et al. 2021

IJERPH

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Face masks are considered an effective intervention in controlling the spread of airborne viruses, as evidenced by the 2009′s H1N1 swine flu and 2003′s severe acute respiratory syndrome (SARS) outbreaks. However, research aiming to examine public willingness to wear (WTW) face masks in Pakistan are scarce. The current research aims to overcome this research void and contributes by expanding the theoretical mechanism of theory of planned behavior (TPB) to include three novel dimensions (risk perceptions of the pandemic, perceived benefits of face masks, and unavailability of face masks) to comprehensively analyze the factors that motivate people to, or inhibit people from, wearing face masks. The study is based on an inclusive questionnaire survey of a sample of 738 respondents in the provincial capitals of Pakistan, namely, Lahore, Peshawar, Karachi, Gilgit, and Quetta. Structural equation modeling (SEM) is used to analyze the proposed hypotheses. The results show that attitude, social norms, risk perceptions of the pandemic, and perceived benefits of face masks are the major influencing factors that positively affect public WTW face masks, whereas the cost of face masks and unavailability of face masks tend to have opposite effects. The results emphasize the need to enhance risk perceptions by publicizing the deadly effects of COVID-19 on the environment and society, ensure the availability of face masks at an affordable price, and make integrated and coherent efforts to highlight the benefits that face masks offer.

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Section: Methodsmentioning

confidence: 99%

Assessing Public Willingness to Wear Face Masks during the COVID-19 Pandemic: Fresh Insights from the Theory of Planned Behavior

Irfan

Akhtar

Ahmad

et al. 2021

IJERPH

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“…Y. Zhao et al, 2009). Since the diamond model was first proposed, scholars have used it to assess the competitiveness of the wind power industry (Irfan, Zhao, Ahmad, & Mukeshimana, 2019a;Z. Y. Zhao et al, 2009), the photovoltaic industry (Z. Y.…”

Section: Evaluation Of the Photovoltaic Industry's Development In Taiwanmentioning

confidence: 99%

“…In summary, the diamond model is a comprehensive analytical method focusing on holistic competitive advantages that rely on integrating basic and associated factors (Castro-Gonzáles et al, 2016;Chung, 2016;Fang et al, 2018;Irfan, Zhao, Ahmad, & Mukeshimana, 2019a;Rashidin et al, 2020;Z. Y. Zhao et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Using Porter’s Diamond Model to Assess the Competitiveness of Taiwan’s Solar Photovoltaic Industry

2021

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In this study, we use six dimensions (i.e., firm strategy; government, structure, and rivalry; demand conditions; chance; factor conditions; and related/supporting industries) based on Porter’s diamond model to identify critical development indicators to enhance the competitiveness of Taiwan’s solar photovoltaic industry. Our proposed industry evaluation model uses the decision-making trial and evaluation laboratory (DEMATEL) technique to establish an influential relationship between indicators, the DEMATEL-based analytic network process to obtain influential weights, and the modified VIšekriterijumsko Kompromisno Rangiranje (VIKOR) method to assess industry development performance gaps. Through this analysis, current industry demands can be clarified, and operations of governments and photovoltaic firms can be improved by limiting developmental gaps and formulating robust policies and strategies. Furthermore, the influential network relationship map and influential weights can help explain the complex assessment system and suggest priorities for industry improvement. The results demonstrate that the six dimensions should be upgraded in the following order of priority: firm strategy; government, structure, and rivalry; demand conditions; chance; factor conditions; and related/supporting industries. We also discuss the implications for photovoltaic firm management.

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“…India's current challenge is the battle against the pandemic, which has recently attracted worldwide attention. India is a developing nation ( Elavarasan et al, 2021a ; Irfan et al, 2019a , 2019b ), with inadequate resources and healthcare infrastructure in comparison to rich economies. ( Ahmad et al, 2021 ; Hao et al, 2020 ; Irfan et al, 2021c ; Li et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Asymmetric impact of temperature on COVID-19 spread in India: Evidence from quantile-on-quantile regression approach

Irfan

Razzaq

Suksatan

et al. 2022

Journal of Thermal Biology

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The emergence of new coronavirus (SARS-CoV-2) has become a significant public health issue worldwide. Some researchers have identified a positive link between temperature and COVID-19 cases. However, no detailed research has highlighted the impact of temperature on COVID-19 spread in India. This study aims to fill this research gap by investigating the impact of temperature on COVID-19 spread in the five most affected Indian states. Quantile-on-Quantile regression (QQR) approach is employed to examine in what manner the quantiles of temperature influence the quantiles of COVID-19 cases. Empirical results confirm an asymmetric and heterogenous impact of temperature on COVID-19 spread across lower and higher quantiles of both variables. The results indicate a significant positive impact of temperature on COVID-19 spread in the three Indian states (Maharashtra, Andhra Pradesh, and Karnataka), predominantly in both low and high quantiles. Whereas, the other two states (Tamil Nadu and Uttar Pradesh) exhibit a mixed trend, as the lower quantiles in both states have a negative effect. However, this negative effect becomes weak at middle and higher quantiles. These research findings offer valuable policy recommendations.

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Critical factors influencing wind power industry: A diamond model based study of India

Cited by 77 publications

References 48 publications

Assessing Public Willingness to Wear Face Masks during the COVID-19 Pandemic: Fresh Insights from the Theory of Planned Behavior

Assessing Public Willingness to Wear Face Masks during the COVID-19 Pandemic: Fresh Insights from the Theory of Planned Behavior

Using Porter’s Diamond Model to Assess the Competitiveness of Taiwan’s Solar Photovoltaic Industry

Asymmetric impact of temperature on COVID-19 spread in India: Evidence from quantile-on-quantile regression approach

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