Community Perception as a Catalyst for Economic Growth and Digital Transformation in BRICS Integration DOI

Khoirul Anam,

Imam Prayogo

Journal Economic Business Innovation, Journal Year: 2024, Volume and Issue: 1(3), P. 338 - 251

Published: Oct. 10, 2024

Purpose: To investigate the sensitive nature of interaction social perception, economic development, and digitization in brics integration situation. As global power dynamic continues to shift with rise international entities such as BRICS, analyzing impact public sentiment transformation on technological innovation has become vital for policymakers business executives alike.Method: The study uses descriptive statistics advanced SEM analysis performed responses collected across diverse respondents partial four derivatives. A Likert-scale questionnaire that targeted viewpoints growth, digital was developed, hypothesized associations among these core elements were tested using multiple regression techniques.Findings: Economic growth is heavily impacted by perception turn plays a crucial role shaping transformation. Moreover, identified mediator between BRICS found play moderating societal perceptions outcomes.Novelty: This reveals new insights into how society not only economy but also strengthening effects. approach, applying mediation moderation effects within theme which been previously utilized other studies.Implications: provides important can be shaped better it contributes advancement, offering implications well leaders. findings highlight key importance factor development process, especially highlighted emerging markets.

Language: Английский

Determinants of fishing grounds footprint: Evidence from dynamic spatial Durbin model DOI
Milad Aminizadeh, Hosein Mohammadi, A R Karbasi

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 202, P. 116364 - 116364

Published: April 21, 2024

Language: Английский

Citations

7
A machine learning algorithm to explore the drivers of carbon emissions in Chinese cities DOI Creative Commons
Wenmei Yu, Lina Xia, Qiang Cao

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 9, 2024

As the world's largest energy consumer and carbon emitter, task of emission reduction is imminent. In order to realize dual-carbon goal at an early date, it necessary study key factors affecting China's emissions their non-linear relationships. This paper compares performance six machine learning algorithms that traditional econometric models in predicting China from 2011 2020 using panel data 254 cities China. Specifically, analyzes comparative importance domestic economic, external policy uncertainty as well nonparametric relationship between these based on Extra-trees model. Results show consumption (ENC) remains root cause increased among economic factors, although government intervention (GOV) digital finance (DIG) can significantly reduce it. Next, foreign direct investment (FDI) (EPU) are important influencing emissions, partial dependence plots (PDPs) confirm pollution haven hypothesis also reveal role EPU reducing emissions. The heterogeneity analyzed under different city sizes, found ENC a common driving factor but there some differences. Finally, appropriate recommendations proposed by us help move rapidly towards green sustainable development path.

Language: Английский

Citations

4
Dynamic Linkages Between Economic Policy Uncertainty and External Variables in Latin America: Wavelet Analysis DOI Creative Commons
Nini Johana Marín‐Rodríguez, Juan David González-Ruíz, Sergio Botero-Botero

et al.

Economies, Journal Year: 2025, Volume and Issue: 13(2), P. 22 - 22

Published: Jan. 21, 2025

Wavelet coherence analysis (WCA) examines the dynamic interactions between economic policy uncertainty (EPU) in Brazil, Chile, Colombia, and Mexico key external variables, using monthly data from 2010 to 2022. The findings reveal following: (i) medium-term co-movements (4–16 months) EPU global financial indicators, including Chicago Board Options Exchange (CBOE) Market Volatility Index (RVIX), Merrill Lynch Option Estimate (RMOVE), Global (RGEPU), emphasizing sustained influence of volatility on domestic environments, particularly during turbulence; (ii) significant Climate Policy Uncertainty (RCPU) resource-dependent economies like Brazil with pronounced effects medium- long-term horizons; (iii) bidirectional relationships Brent crude oil prices (RBRENT) Mexico, where price fluctuations shape uncertainty, especially market disruptions; (iv) notable Dow Jones Sustainability World (RW1SGI) highlighting sensitivity shifts sustainability-driven markets. These results underscore need for diversification, strengthened safeguards, integrated climate risk management mitigate shocks. By exploring time–frequency dynamics uncertainties this study provides actionable insights fostering resilience stability Latin America’s interconnected while addressing vulnerabilities sustainability transitions.

Language: Английский

Citations

0
Asymmetric impact of energy consumption & financial development on environment using ARDL approach: Case of ASEAN countries DOI
Hanning Wang, Muhammad Safdar Sial,

LI Shunyi

et al.

Energy, Journal Year: 2024, Volume and Issue: 305, P. 132241 - 132241

Published: July 3, 2024

Language: Английский

Citations

3
Analyzing the Nexus between AI Innovation and Ecological Footprint in Nordic Region: Impact of Banking Development and Stock Market Capitalization using Panel ARDL method DOI Creative Commons

Sarder Abdulla Al Shiam,

Mohammad Ridwan,

Md Mahdi Hasan

et al.

Journal of Environmental Science and Economics, Journal Year: 2024, Volume and Issue: 3(3), P. 41 - 68

Published: Sept. 1, 2024

This study investigates the impact of Artificial Intelligence (AI) innovation on ecological footprint in Nordic region from 1990 to 2020, alongside effects banking development, stock market capitalization, economic growth, and urbanization. Utilizing STIRPAT model, incorporates cross-sectional dependence slope homogeneity tests, revealing issues heterogeneity dependence. The analysis employs both first second-generation panel unit root confirming that variables are free problems. Panel cointegration tests demonstrate cointegrated long run. To explore short- long-term relationships, utilizes Autoregressive Distributed Lag (ARDL) model. ARDL results indicate urbanization positively correlate with short Conversely, AI development negatively footprint. validate estimations, robustness checks performed using Fully Modified OLS, Dynamic Fixed Effects all which support initial findings. Furthermore, D-H causality test identify causal relationships. show a unidirectional relationship between innovation, urbanization, In contrast, bidirectional exists growth footprint, as well

Language: Английский

Citations

3
Maximizing Customs Tariff Strategies for Augmenting National Income and Ensuring Economic Equilibrium: An Analysis of Uzbekistan Through Econometric Simulation DOI

Ilkhomjon Gulom ugli Pardaev,

Shoh-Jаkhon Khаmdаmov, Самариддин Махмудов

et al.

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 479 - 490

Published: Jan. 1, 2025

Language: Английский

Citations

0
Unveiling asymmetry impacts of economic policy uncertainty on climate change: fresh insights into African Countries DOI
Riadh Brini,

Hassen Toumi,

Olfa Chaouech

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(23), P. 34647 - 34660

Published: May 6, 2024

Language: Английский

Citations

1
Nordic environmental resilience: balancing air quality and energy efficiency by applying artificial neural network DOI Creative Commons
Abul Ala Noman, Faheem Ur Rehman, Irfanullah Khan

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 5, 2024

Maintaining public health and environmental safety in the Nordic nations calls for a strict plan to define exact benchmarks on air quality energy efficiency. This study investigates complicated interaction of decentralized production (DEP) with efficiency, index from 1990 2022 using System GMM Artificial Neural Network (ANN) approach. Our research explored positive role technological advancement propel notable increases hence lowering pollution expressed as PM2.5 level. indicates, however, that although international trade, GDP urbanization assist enhance they also contribute by raising Level higher usage. Furthermore damaging is persistent link shown economic disparity price increased degrees less Policy frameworks must devised sustainable development policy (decentralized production) significantly improve efficiency lower amount pollution. proper urban planning close observation possible drawbacks growing GDP, disparity, expenses.

Language: Английский

Citations

0
Community Perception as a Catalyst for Economic Growth and Digital Transformation in BRICS Integration DOI

Khoirul Anam,

Imam Prayogo

Journal Economic Business Innovation, Journal Year: 2024, Volume and Issue: 1(3), P. 338 - 251

Published: Oct. 10, 2024

Purpose: To investigate the sensitive nature of interaction social perception, economic development, and digitization in brics integration situation. As global power dynamic continues to shift with rise international entities such as BRICS, analyzing impact public sentiment transformation on technological innovation has become vital for policymakers business executives alike.Method: The study uses descriptive statistics advanced SEM analysis performed responses collected across diverse respondents partial four derivatives. A Likert-scale questionnaire that targeted viewpoints growth, digital was developed, hypothesized associations among these core elements were tested using multiple regression techniques.Findings: Economic growth is heavily impacted by perception turn plays a crucial role shaping transformation. Moreover, identified mediator between BRICS found play moderating societal perceptions outcomes.Novelty: This reveals new insights into how society not only economy but also strengthening effects. approach, applying mediation moderation effects within theme which been previously utilized other studies.Implications: provides important can be shaped better it contributes advancement, offering implications well leaders. findings highlight key importance factor development process, especially highlighted emerging markets.

Language: Английский

Citations

0