Financial Market Development and Co2 Emissions Nexus in Nigeria: An Application of Ardl Approach

Musa, Kabiru Saidu; Sulaiman, Chindo; Maijama’a, Rabiu

doi:10.20473/jde.v6i1.22448

Cited by 4 publications

(3 citation statements)

References 34 publications

(40 reference statements)

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“…On the cloud computing or DC side, when the system detects that any VM request arrives, the CP will make corresponding decisions based on the type of the VM request and the corresponding revenue. Correspondingly, the state of the system also changes accordingly [27]. At this time, SPADP updates the state value function of the current system according to the decision of CP, the income obtained, and the value function update rules.…”

Section: (12)mentioning

confidence: 99%

Regulatory Mechanism of Financial Market Resource Management Driven by Big Data

Xie

Chen

2022

Mobile Information Systems

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In order to further understand the current situation of the financial market and better supervise the resource management of the financial market, combined with big data and cloud computing technology, through the construction of big data cloud platform resource management system and the integration of various technical computing frameworks, we can realize the effective supervision of big data resources in the financial market. Using J2EE technology, this paper analyzes, designs, implements, and tests the investment data management system, analyzes the content of the software engineering subject, and obtains the demand function description of the business. According to the software development process and the actual situation of enterprise investment, this paper expounds the basic requirements of the investment data management business, system architecture requirements, user use case status, and the operation and configuration environment of the investment data management system. This paper analyzes the technical characteristics and operation indicators of the software, and establishes the data flow for the data related to investment data management, such as information statistics, data query, information classification and so on. Finally, the system is verified, operated and tested, and the business use cases and parameters of the system are tested according to the two indicators of software testing. The basic functions of the investment data management realized by the system are correct, the design is reasonable, the operation is stable, the operation response time is short, the operation accuracy is high, and the data access efficiency is good.

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Section: (12)mentioning

confidence: 99%

Regulatory Mechanism of Financial Market Resource Management Driven by Big Data

Xie

Chen

2022

Mobile Information Systems

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“…Many previous studies have been conducted to examine the factors contributing to reducing carbon emissions [1][2][3][4][5][6][7][8][9][10][11]. Among the most significant variables are energy consumption [10,[12][13][14], foreign direct investment [4,9,15], economic growth [3,4,6,9,16], trade openness [6,17], financial efficiency and development [2,[18][19][20][21][22][23][24][25][26] and many other variables. The Environmental Kuznets Curve (EKC) model is commonly utilised in conjunction with the examination of renewable-energy usage towards CO2 emissions and GDP [27].…”

Section: Co2 Emissionmentioning

confidence: 99%

Does financial efficiency modify CO2 emission? Using panel ARDL-PMG in the case of five selected ASEAN countries

Mohamad Azmin,

Abdul Manaf,

Abdul Ghani

2023

BIO Web Conf.

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Financial efficiency reduces carbon emissions by optimising resource usage, encouraging innovation and investment in low-carbon technology and solutions, and increasing transparency and accountability. This study examined the short- and long-term equilibrium relationships between CO2 emissions, financial efficiency, GDP, and energy consumption in five ASEAN nations from 1980 to 2020. Data stationarity was tested using the panel unit root test. The Autoregression Distribution Lag Pooled Mean Group (ARDL-PMG) model is best for empirical research because the data are long time series. The ARDL-PMG model shows that all variables affect CO2 emissions in the short term. Gross domestic product per capita and energy use affect CO2 emissions but not financial efficiency over time.

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“…There are diverse arguments among scholars regarding the nexus between FD and environmental quality maintenance. One school of thought claims that FD minimizes the barriers to investing in green energy consumption projects that steadily reduce CO2 emissions [6,7,8]. In contrast, others argue that development in the industrial sector increases energy usage and pollution [9,10].…”

Section: Association Of Financial Development and Carbon Dioxide Co2 ...mentioning

confidence: 99%

Impact of Economic Growth, Financial Development and Technological Advancements on Carbon Emissions: Evidence from ASEAN Countries

Hewage

Othman

Pyeman

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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This research contributes to the existing knowledge by examining the long-run and short-run effects of Financial Development, Economic Growth, and Technological advancements on carbon emissions in Association of Southeast Asian Nations countries. The Pooled Mean Group (PMG) estimation was applied in this study using a panel data analysis from 2000 to 2018. Results showed that rapid economic growth, financial development, and technological advancements increase carbon emissions. The increase in technological advances in the Information technology (IT) sector, industrial sector equipment, and high-power tools lead to increased carbon emissions. Development in finance creates the opportunity to start new industrial sector companies. The economic development base on the industrial sector has a significant positive effect on carbon emission in ASEAN countries. Furthermore, the findings support the environmental Kuznets curve, emphasizing that rapid economic growth leads to direct carbon emissions. Therefore, our conclusions manifest and underscore the importance of eradicating carbon emission policies and guidelines to minimize carbon emissions. In addition, it is recommended to increase investment in technological innovation research and development to reduce carbon emissions.

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Financial Market Development and Co2 Emissions Nexus in Nigeria: An Application of Ardl Approach

Cited by 4 publications

References 34 publications

Regulatory Mechanism of Financial Market Resource Management Driven by Big Data

Regulatory Mechanism of Financial Market Resource Management Driven by Big Data

Does financial efficiency modify CO2 emission? Using panel ARDL-PMG in the case of five selected ASEAN countries

Impact of Economic Growth, Financial Development and Technological Advancements on Carbon Emissions: Evidence from ASEAN Countries

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