Does it hurt or help? Revisiting the effects of ICT on economic growth and energy consumption: A nonlinear panel ARDL approach

Bakry, Walid; Nghiem, Xuan-Hoa; Farouk, Sherine; Vo, Xuan Vinh

doi:10.1016/j.eap.2023.03.026

Cited by 19 publications

(10 citation statements)

References 152 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Weather-integrated infectious disease prediction models predominantly include ARDL [21], generalized linear models [30], Bayesian structural time series [31], and ARIMA [32]. In comparison to the aforementioned models, the NARDL offers several advantages in modeling HB incidence series [14][15][16]33]: (1) NARDL can account for cases where the impact of positive changes in weather factors differs from the impact of negative changes; (2) by including lagged values of variables in the model, NARDL enables the examination of both immediate and persistent effects of weather factors, contributing to a more comprehensive analysis; and (3) NARDL allows for straightforward interpretation of coefficients, making it possible to capture the direction and magnitude of the effects of weather factors. This enhances understanding and facilitates informed policy and decision-making; (4) the incorporation of nonlinear and asymmetric terms in NARDL Our results revealed that overall a rising trend was observed in HB incidence, aligned with the overall epidemic trend worldwide and in China [3,34].…”

Section: Discussionmentioning

confidence: 99%

“…The DLNM and artificial neural networks (ANNs) are currently the most commonly used nonlinear models for analyzing the associations between meteorological factors and diseases or forecasting the epidemics of diseases, but these models fail to explore both long-and short-term effects of the variables on outcomes simultaneously. Therefore, this study aimed to address these gaps by introducing a new nonlinear autoregressive distributed lag (NARDL) model, known for its enumerated advantages [14][15][16]: (1) facilitating examination of long-and shortterm asymmetries, (2) enabling time series with varying orders of integration, (3) prioritizing resolution of endogenous issues between variables, and (4) automatically incorporating autocorrelations in time series analysis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Asymmetric Effects of Weather-Integrated Human Brucellosis Forecasting System Using a New Nonlinear Autoregressive Distributed Lag Model

Wang,

Xue,

Zhang

et al. 2024

Transboundary and Emerging Diseases

View full text Add to dashboard Cite

Human brucellosis (HB) remains a significant public health concern in China. This study aimed to investigate the long- and short-term asymmetric impacts of meteorological variables on HB and develop an early prediction system. Monthly data on HB incidence and meteorological variables were collected from 2005 to 2020. The study employed the autoregressive distributed lag (ARDL) and nonlinear ARDL (NARDL) to analyze the long- and short-term effects of climate variables on HB. Subsequently, the data were split into training (from January 2005 to December 2019) and testing parts (from January to December 2020) to develop and validate the forecasting accuracy of both models. During 2005–2020, there were 34,993 HB cases (2.03 per 100,000 persons) and there was an overall rising trend (average annual percentage change = 21.18%, 95%CI 18.36%–26.01%) in HB incidence, peaked in May and troughed in December per year. A 1 m/s increment and decrement in differenced (Δ) average wind velocity (AWV) contributed to 73.8% and 87.5% increases in ΔHB incidence, respectively (Wald long-run asymmetry test (WLR) = 1.17, P=0.25). A 1 hr increment and decrement in Δ(average relative humidity) contributed to both 3.1% increases in ΔHB incidence (Wald short-run asymmetry test = 3.01, P=0.003). Average temperature (AT) (P<0.001) and average air pressure (P=0.012) played a long-run linear impact on HB. Δ(aggregate precipitation) (WLR = 1.76, P=0.08) and Δ(aggregate sunshine hours) (WLR = 0.07, P=0.94) did not have a significant long-term asymmetric impact on Δlog(HB). ΔΔAT(+) and ΔΔAWV(−) at a 1-month lag had a meaningful short-run effect on Δlog(HB). In the forecasting aspect, the NARDL produced significantly smaller error rates compared to the ARDL. Weather variability played significant long- and short-run asymmetric roles in HB incidence. The NARDL by integrating climatic variables could accurately capture the dynamic structure of HB epidemic, meaning that meteorological variables should be integrated into the public health intervention plan for HB.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Asymmetric Effects of Weather-Integrated Human Brucellosis Forecasting System Using a New Nonlinear Autoregressive Distributed Lag Model

Wang,

Xue,

Zhang

et al. 2024

Transboundary and Emerging Diseases

View full text Add to dashboard Cite

show abstract

“…Zafar et al (2022) examined the relationship between remittances, export diversification, education and carbon emissions. Bakry et al (2023)'s research showed that ICT has long-term asymmetric effects on economic growth and energy consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of globalization on the decoupling of water consumption and economic growth in BRICS and N11 countries—Linear and nonlinear approaches

Wang,

2023

Sustainable Development

View full text Add to dashboard Cite

In the context of globalization, the 2030 sustainable development goals pose a huge challenge to the coordinated development of economy and environment in emerging economies. The purpose of this article is to investigate whether globalization contributes to balance water consumption and economic growth in emerging economies. China is the largest developing country and the largest trader of goods in the world. From holistic and representative perspectives, this article analyzes the mechanisms affecting economic growth and water consumption in BRICS countries, Next Eleven (N11) countries and China. Combining decoupling model and econometric models, fully modified ordinary least squares (FMOLS) linear model and threshold panel nonlinear model are constructed. Both linear and nonlinear effects of trade and foreign investment on economic growth and water consumption are considered. The results show that, from a holistic perspective, globalization helps balance economic growth and water consumption in emerging economies. The impact of trade on water consumption in BRICS countries is negative. And with the increase of trade, its positive coefficient on water consumption in N11 countries gradually decreases. Foreign direct investment (FDI) plays a positive role in the coordinated development of economic growth and water environment in BRICS and N11 countries. Taking China as a representative country, there is a decoupling phenomenon between economic growth and water use during the study period. With the trade crossing the threshold successively, the promoting effect on economy increases first and then decreases, and the inhibiting effect on water consumption weakens. With the increase of foreign investment, its positive effect on GDP increases, and its positive coefficient on water consumption decreases. The conclusions from representative country and holistic perspective are consistent. Finally, some policy recommendations are put forward.

show abstract

“…ICT promoting variables are also seemed useful for economic growth in BRICS and Asian countries (Nipo et al, 2022;Soomro et al, 2022). Earlier studies also used various indexes for digitalization to capture its implications on social-economic development (Aly, 2022;Bakry et al, 2023;Ionescu-Feleaga et al, 2023;Novikova et al, 2022;Özsoy et al, 2022;Rath & Hermawan, 2019). Belyaeva and Lopatkova (2020) investigated the impact of digitalization on social and environmental dimensions of GSD in small and medium enterprises (SMEs) of European countries.…”

Section: Theoretical and Empirical Reviewmentioning

confidence: 99%

“…Galindo-Martín et al ( 2023) reported that digitalization is conducive to stimulating entrepreneurial activities. Bakry et al (2023) noticed that economic growth and energy consumption could improve due to the increase in the process of digitalization in 27 countries. Dovgal et al (2021) identified the importance of digitalization in sustainable greening areas in OECD countries and Ukraine.…”

Section: Theoretical and Empirical Reviewmentioning

confidence: 99%

Impact of Digitalization on Global Sustainable Development Across Countries

Singh,

Jyoti

2023

GLCE

View full text Add to dashboard Cite

This study develops an economic development index, a social development index, an environmental sustainability index, and an information and communication technology index to explore the comparison of 34 countries in global sustainable development (GSD) and its promoting indicators, and digitalization. The composite Z-score method is used to create the above-mentioned indexes between 2000 - 2021. The statistical values of these indexes are used to explicate the performance of these countries in all components of sustainable development and digitalization. The correlation coefficients among the mentioned indicators are also estimated to measure associations among them. The regression coefficients of explanatory variables with GSD and digitalization are also estimated using a log-linear regression model. There is reported a high diversity in digitalization, economic development (ED), social development (SD), environmental sustainability (ES), and GSD across countries. GSD is not possible without ED, SD, and ES. Digitalization has a positive impact on sustainable, social, and economic development. Digital technology helps to increase GSD, while GSD seems favorable to increasing digitalization. Digitalization improves as ED, SD, and GSD increase. While digitalization has a negative impact on ES. Green innovation, green and appropriate technologies, green entrepreneurship, and technological advancement would be supportive to increase digitalization and GSD.

show abstract

Does it hurt or help? Revisiting the effects of ICT on economic growth and energy consumption: A nonlinear panel ARDL approach

Cited by 19 publications

References 152 publications

Asymmetric Effects of Weather-Integrated Human Brucellosis Forecasting System Using a New Nonlinear Autoregressive Distributed Lag Model

Asymmetric Effects of Weather-Integrated Human Brucellosis Forecasting System Using a New Nonlinear Autoregressive Distributed Lag Model

The impact of globalization on the decoupling of water consumption and economic growth in BRICS and N11 countries—Linear and nonlinear approaches

Impact of Digitalization on Global Sustainable Development Across Countries

Contact Info

Product

Resources

About