Impact of Environmental Fluctuations on Stock Markets: Empirical Evidence from South Asia

Zahid, R. M. Ammar; Khurshid, Muzammil; Waheed, Minha; Sanni, Tajudeen

doi:10.1155/2022/7692086

Cited by 10 publications

(8 citation statements)

References 17 publications

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“…Environmental sustainability comprises making responsible decisions and taking action to protect the natural world, with a focus on human life-support [ 46 ]. Environmental sustainability has various compelling arguments.…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Role of Managerial Ability in Environmental, Social, and Economics Sustainability: An Empirical Evidence from China

Khan

Zahid

Shahzad³

et al. 2022

Journal of Environmental and Public Health

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The current study analyzed whether the enhancement in managerial ability accelerates the environmental, social, and economic sustainability practices or not. Using panel data methodology on Chinese listed firms data from 2010 to 2019, we report that CEOs’ managerial ability impacts the overall (environmental, social, and economic) sustainability practices of the firms positively. Moreover, we find that social sustainability and economic sustainability also increase with the increase of the CEO’s managerial ability in the firm. The results remain robust after several alternative empirical tests. The findings justify the relationship between management skills and sustainability and demonstrate how each one of the sustainability pillars is affected individually. The support for sustainability practices that can be achieved through the communication of management skills is an essential conclusion for practitioners. Findings establish the link between CEO’s managerial ability and environmental, social, and economic sustainability performance by taking insights from upper echelon theory.

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Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Role of Managerial Ability in Environmental, Social, and Economics Sustainability: An Empirical Evidence from China

Khan

Zahid

Shahzad³

et al. 2022

Journal of Environmental and Public Health

Self Cite

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“…Further, efficient use of online shopping, e-commencing, teleconferences, and teleworking have made it possible to save time, money, and resources ( Sui and Rejeski, 2002 ; Mustafa et al, 2021 , 2022d , e ). The migration of the economy from carnal to information capitals helps improve environmental feature and reduce energy consumption, a sign of a weightless economy that demands less capital for operation ( Ozcan and Apergis, 2018 ; Huang et al, 2022 ; Khan et al, 2022 , 2021 ; Zahid et al, 2022a , b ). The said transformation has reduced the reliance of economies on physical resources for their growth process, reducing pollution emissions.…”

Section: Introductionmentioning

confidence: 99%

Examining the effects of information and communications technology on green growth and environmental performance, socio-economic and environmental cost of technology generation: A pathway toward environment sustainability

2022

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Human capital and ICT have a significant role in determining human development. The impacts of ICT and human capital on green growth and environmental sustainability should be explored for sustainable economic development. This research contributes to the literature on the role of ICTs and human capital in the determination of green growth and environmental performance. Based on time-series data 1990–2019, the study intends to investigate the impact of ICTs and human capital on environmental and green growth performance for China. The study reports that ICTs tend to reduce CO2 emissions and improve green growth in the long-run. However, education reduces CO2 emissions in the long-run but does not produce any significant impact on green growth in the long-run. It is suggested that government should invest in environmental efficiency and environmental technologies simultaneously with human capital that could significantly contribute to pollution reduction. Lastly, policies to increase human capital should be implemented simultaneously with policies to promote ICTs contribution in order to confirm green growth and environmental protection.

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“…As with ANN, hybrid ANFIS may also detect nonlinear relationships between inputs and outputs. Several studies, such as those in [45][46][47][48][49], have shown that ANFIS has a higher prediction e ciency than individual ANNs or FL. As a sort of arti cial neural network, the ANFIS system relies on the Takagi-Sugeno fuzzy inference system, which combines the advantages of ANN and fuzzy logic in one framework.…”

Section: Input Gate Layermentioning

confidence: 99%

Groundwater Quality: The Application of Artificial Intelligence

Al-Adhaileh

Aldhyani

Alsaade

et al. 2022

Journal of Environmental and Public Health

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Humans and all other living things depend on having access to clean water, as it is an indispensable essential resource. Therefore, the development of a model that can predict water quality conditions in the future will have substantial societal and economic value. This can be accomplished by using a model that can predict future water quality circumstances. In this study, we employed a sophisticated artificial neural network (ANN) model. This study intends to develop a hybrid model of single exponential smoothing (SES) with bidirectional long short-term memory (BiLSTM) and an adaptive neurofuzzy inference system (ANFIS) to predict water quality (WQ) in different groundwater in the Al-Baha region of Saudi Arabia. Single exponential smoothing (SES) was employed as a preprocessing method to adjust the weight of the dataset, and the output from SES was processed using the BiLSTM and ANFIS models for predicting water quality. The data were randomly divided into two phases, training (70%) and testing (30%). Efficiency statistics were used to evaluate the SES-BiLSTM and SES-ANFIS models’ prediction abilities. The results showed that while both the SES-BiLSTM and SES-ANFIS models performed well in predicting the water quality index (WQI), the SES-BiLSTM model performed best with accuracy (R = 99.95% and RMSE = 0.00910) at the testing phase, where the performance of the SES-ANFIS model was R = 99.95% and RMSE = 2.2941 × 100-07. The findings support the idea that the SES-BilSTM and SES-ANFIS models can be used to predict the WQI with high accuracy, which will help to enhance WQ. The results demonstrated that the SES-BiLSTM and SES-ANFIS models’ forecasts are accurate and that both seasons’ performances are consistent. Similar investigations of groundwater quality prediction for drinking purposes should benefit from the proposed SES-BiLSTM and SES-ANFIS models. Consequently, the results demonstrate that the proposed SES-BiLSTM and SES-ANFIS models are useful tools for predicting whether the groundwater in Al-Baha city is suitable for drinking and irrigation purposes.

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Impact of Environmental Fluctuations on Stock Markets: Empirical Evidence from South Asia

Cited by 10 publications

References 17 publications

Role of Managerial Ability in Environmental, Social, and Economics Sustainability: An Empirical Evidence from China

Role of Managerial Ability in Environmental, Social, and Economics Sustainability: An Empirical Evidence from China

Examining the effects of information and communications technology on green growth and environmental performance, socio-economic and environmental cost of technology generation: A pathway toward environment sustainability

Groundwater Quality: The Application of Artificial Intelligence

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