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Oil revenue and production cost disconnect and its impact on the environment:Economic globalization in Asia-Pacific economic cooperation countries

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Geoscience Frontiers 2024年第3期15卷 14-30页

作者： Zhou Li Sager Alharthi business School The University of New South WalesSydneyAustralia business administration department College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahKingdom of Saudi Arabia

The global economy relies heavily on oil production,but it is not without *** the period of economic globalization,the revenue and costs associated with oil production have become disjointed,which has had a detrimental effect on the *** a result,environmental protection has been compromised,environmental regulations have been weakened,natural resources have been exploited,and climate change has been *** study examines the impact of revenue minus the production cost of oil,energy use,and shadow economy on environmental degradation in APEC countries from 1991 to 2020,using the economic globalization index as a moderating *** result explains that revenue minus the oil production cost and the shadow economy are negatively associated with environmental *** use and economic globalization are positively associated with environmental degradation in APEC *** minus the production cost of oil and shadow economy improve the *** use and economic globalization degrade the environment in APEC *** are encouraged to advance technologies and upgrade infrastructure to reduce greenhouse gas emissions;also,promoting energy-efficient practices in other sectors,like transportation and manufacturing,could contribute to a healthier environment.

关键词： Greenhouse gas emissions Revenue minus production cost of oil Economic globalization Shadow economy APEC countries

Testing the LCC hypothesis by considering environmental sustainability and economic development:Role of green energy and resource management

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Geoscience Frontiers 2024年第3期15卷 419-430页

作者： Sunil Tiwari Syed Ali Raza Shiv Kumar Gupta Irum Shahzadi Mahendra Babu Kuruva department of Tourism Studies School of Business StudiesCentral University of KeralaIndia department of business administration IQRA UniversityKarachi 75300Pakistan Centre for Mountain Tourism and Hospitality Studies HNB Garhwal Central UniversitySrinagarUttarakhand 246174India department of Production Engineering São Paulo State University(UNESP)BauruBrazil department of business administration IQRA University Karachi-75300Pakistan department of business Management HNB Garhwal Central UniversitySrinagar GarhwalUttarakhand 246174India

This study aims to demystify the role of green energy and green technology in establishing the nexus between behavioural intentions of tourists,technologies,and digital payments by using Perceived value(PV),Compatibility(CO),Perceived Enjoyment(PE),and Social Influence(SI)as a predictor variables,Trust(TR)and Satisfaction(SA)as a mediating variables and Behavioural Intentions(BI)as an outcome *** the empirical estimation,we employ smart PLS-SEM,TAM(Technology Acceptance Model)and SPSS and Tested the LCC *** findings suggest that green energy and perceived value have the highest positive impact on tourists’trust towards digital payments followed by compatibility,social influence and perceived ***,tourists’satisfaction and green technology is one of the important determinants of choosing any digital mode of payment,is mostly influence by perceived value,perceived enjoyment,compatibility and social ***,if we choose between trust and satisfaction,trust plays a significant role in exploring the behavioural intentions of tourists about green energy and green technology followed by tourists’*** addition,Tourists’trust and satisfaction are highly correlated and influence each *** study offers novel policy implications in terms of use of green technology and green energy in enhancing trust and satisfaction of tourists in order to deeper understanding of different dimensions of digital payments and M-wallets,and allowing them to explore the long-term value inherent of digital payments and M-wallets.

关键词： Digital payment Green technology Green energy Tourism LCC hypothesis

Implication of machine learning techniques to forecast the electricity price and carbon emission:Evidence from a hot region

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Geoscience Frontiers 2024年第3期15卷 259-271页

作者： Suleman Sarwar Ghazala Aziz Aviral Kumar Tiwari department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia department of business administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Indian Institute of Management BodhgayaIndia

The current study examines the significant determinants of electricity consumption and identifies an appropriate model to forecast the electricity price *** main contribution is focused on eastern region of Saudi Arabia,a relatively hottest geographical area full of energy resources but with different electricity consumption *** relative irrelevance of temperature as predicting factor of electricity consumption is quite surprising and contradicts the previous *** the eastern region,electricity price has negative association with electricity *** comparing traditional and machine learning,it is found that machine learning techniques offer better *** the machine learning techniques,the support vector machine has the lowest errors in forecasting the electricity ***,the support vector machine approach is used to forecast the trend of carbon emissions caused by electricity *** findings have policy implications and offer valuable suggestions to policymakers while addressing the determinants of electricity consumption and forecasting electricity prices.

关键词： Electricity consumption Carbon emission Artificial neural network Support vector machine Saudi Arabia

Whether to Abolish or Introduce Dual Regulation as Trade and Environmental Policy?

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China & World Economy 2024年第1期32卷 57-95页

作者： Yoshihiro Hamaguchi department of Economics Faculty of Economics and Business AdministrationKyoto University of Advanced ScienceJapan

China,which has already introduced an environmental tax in an effort to decarbonize,has recently begun emissions trading and is using two environmental policies in tandem,but there are concerns about the impact on growth and *** and environmental policies affect firms'entry and exit,resulting in changes in aggregate productivity and pollution *** study compares the impacts of single regulation and dual regulation on welfare,using a research-and-development based growth model with heterogeneous *** single regulation,the cleansing effect of trade liberalization could be *** dual regulation,trade liberalization decreases pollution and improves average productivity whereas decreasing total permits reduces *** the perspective of improving welfare it is desirable to choose dual regulation because trade liberalization can reduce total pollution emissions via the cleansing effect of trade liberalization.

关键词： dual regulation heterogeneous firm Porter hypothesis research and development difficulty trade liberalization

Fostering firm innovativeness:Understanding the sequential relationships between human resource practices,psychological empowerment,innovative work behavior,and firm innovative capability

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International Journal of Innovation Studies 2024年第1期8卷 76-91页

作者： Ruba Sami Al Daboub Amro Al-Madadha Ahmad Samed Al-Adwan business administration department Princess Sumaya University for TechnologyAmmanJordan department of business Technology Business SchoolHourani Center for Applied Scientific ResearchAl-Ahliyya Amman UniversityAmmanJordan

This study investigated the relationships between human resource(HR)practices,employee psychological empowerment,employee innovative work behavior,and firm innovation capability in the context of the Information and Communication Technology(ICT)sector in *** the Social Exchange Theory(SET)as a guiding framework,this study explored how employee psychological empowerment and innovative work behavior mediated the influence of HR practices on a firm’s innovative *** on extensive data collected from ICT organizations in Jordan,our analysis had several key findings.A significant positive correlation between HR practices and psychological empowerment was *** design emerged as the most influential factor affecting psychological empowerment,whereas compensation had a weaker ***,we established that psychological empowerment significantly enhanced innovative work behavior,underscoring its role as a catalyst for innovative work behavior within the ***,our study supported the theory that psychological empowerment influenced a firms’innovation capabilities,emphasizing the pivotal role of employee empowerment in driving firm-level innovation in the Jordanian ICT *** findings provide insights for academic and practical audiences,clarifying how HR practices,employee psychological empowerment,and innovative work behavior collectively influenced firm innovation capability within the unique context of the Jordanian ICT sector.

关键词： Human resources practices Psychological empowerment Innovative work behavior Firm innovative capability Social exchange theory Job design

Applicability of denoising-based artificial intelligence to forecast the environmental externalities

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Geoscience Frontiers 2024年第3期15卷 469-483页

作者： Dongsheng Cai Ghazala Aziz Suleman Sarwar Majid Ibrahim Alsaggaf Avik Sinha The College of Nuclear Technology and Automation Engineering Chengdu University of TechnologySichuan Province 610059China department of business administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia Management Development Institute Gurgaon India

The current study attempts to compare the hybrid artificial intelligence models to forecast the environmental externalities in Saudi *** have used the denoising based artificial intelligence models to construct hybrid *** comparing the denoising techniques,the CSD-based denoising has ***,we have used the CSD-based hybrid ***-ANN and CSD-RNN are used for denoising-based artificial intelligence models,whereas CSD-ARIMA is used for denoising-based traditional *** these models are used to check and compare their performance in terms of level and direction of prediction for PM_(10).The results show that the CSD-based ANN model has a higher predictability for PM_(10) levels in Saudi Arabia due to low error values and higher Dstat *** comparing original and forecasted data,the superiority of CSD-ANN is evident in predicting the PM_(10) in Saudi ***,this hybrid model can predict the environmental externalities for non-linear and highly noised ***,the findings can be useful in achieving the sustainable development goal.

关键词： Hybrid artificial intelligence Forecasting Saudi Arabia Environment PM_(10)

Risk-Averse Two-Stage Distributionally Robust Economic Dispatch Model Under Uncertain Renewable Energy

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1514-1524页

作者： Ce Yang Weiqing Sun Jiannan Yang Dong Han department of Control Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China department of Electrical Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Economics and business administration Chongqing UniversityChongqing 400044China

With the participation of large quantities of renewable energy in power system operations,their volatility and intermittence increases the difficulties and challenges of power system economic *** the uncertainty of renewable energy generation,based on the distributionally robust optimization method,a two-stage economic dispatch model is proposed to minimize the total operation *** this paper,it is assumed that the fluctuating of renewable power generation follows the unknown probability distribution that is restricted in an ambiguity set,which is established by utilizing the first-order moment information of available historical ***,the theory of conditional value-at-risk is introduced to transform the model into a tractable model,which we call robust counterpart *** on the stochastic dual dynamic programming method,an improved iterative algorithm is proposed to solve the robust counterpart ***,the convergence optimum can be obtained by the improved iterative algorithm,which performs a forward pass and backward pass repeatedly in each iterative ***,by comparing with other methods,the results on the modified IEEE 6-bus,118-bus,and 300-bus system show the effectiveness and advantages of the proposed model and method.

关键词： Energy and reserve co-dispatch distributionally robust conditional value-at-risk stochastic dual dynamic programming

Relevance of hybrid artificial intelligence for improving the forecasting accuracy of natural resource prices

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Geoscience Frontiers 2024年第3期15卷 431-446页

作者： Mei Li Rida Waheed Dervis Kirikkaleli Ghazala Aziz School of Management and Economics and Shenzhen Finance Institute The Chinese University of Hong KongShenzhen(CUHK-Shenzhen)China department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia European University of Lefke Faculty of Economic and Administrative ScienceDepartment of Banking and FinanceLefkeTurkey department of business administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia

The prediction performance of traditional forecasting methods is low due to the high level of complexity in a series of energy *** present study attempts to compare the traditional regression,machine learning tools and hybrid models to conclude the outperforming *** first step is to propose the effective denoising technique for Tadawul energy index,which has confirmed the superiority of CSD based ***,we use the CSD-ARIMA,CSD-ANN,and CSD-RNN as hybrid *** a result,CSD-RNN outperforms both other models in terms of MSE,MAPE,RMSE and *** findings are useful for policy makers,investors and portfolio managers to forecast the energy trends,and hedge the portfolio risk accordingly.

关键词： Hybrid artificial intelligence CSD denoising technique Forecasting Energy prices Saudi Arabia

Financial inclusion and carbon emissions in Asia:Implications for environmental sustainability

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Economic and Political Studies 2024年第1期12卷 88-104页

作者： Shahzad Hussain Tanveer Ahmad Sabeeh Ullah Ajid Ur Rehmand Syed Jawad Hussain Shahzad department of business administration Rawalpindi Women UniversityRawalpindiPakistan Institute of business Studies Kohat University of Science and TechnologyKohatPakistan Institute of business and Management Sciences Faculty of Management and Computer SciencesThe University of AgriculturePeshawarPakistan NUST business School National University of Sciences and TechnologyIslamabadPakistan Finance Control and Law DepartmentMontpellier Business SchoolMontpellierFrance

This study explores how carbon emissions are affected by financial *** a balanced panel data set of 26 Asian countries,we compute a composite index,through the principal component analysis(PCA)technique,of financial inclusion based on a set of attributes related to financial *** main analysis also delineates the subsamples of developed and developing Asian *** results reveal a long(short)-run positive(negative)impact of financial inclusion on carbon emissions across the Asian *** finding is also true for the developed country subsample,implying nonlinearity in shortand long-run *** the developing countries,a more pronounced long-run positive impact compared to developed countries is ***,the pairwise causality test results indicate the existence of bi-directional causality between financial inclusion and carbon *** findings have important policy implications,especially in the context of the strategic integration of financial inclusion and climate change strategies.

关键词： Financial inclusion CO2 emissions climate change sustainable development Asian countries