Yusri Hazrol Yusoff, Syahirah Jumbli, Nur Nashuha Norazman, Nor Shahida Binti Abdul Razak, Muhamad Ridzuan Hashim
The effectiveness of strategies in enhancing anti-money laundering depends on various factors such as technological advancements, anti-money laundering laws and regulations, responsibilities of banks and other financial entities in anti-money laundering, and Collaboration between government agencies, the private sector, and law enforcement. Money laundering harms the economy and political stability of a country. This paper examines the effectiveness of anti-money laundering strategies through an article review, focusing on three aspects: technological advancements, anti-money laundering laws and regulations, and responsibilities of banks and financial entities, as well as Collaboration between government agencies, private sector, and law enforcement. Based on these insights, recommendations are proposed for authorities to improve the strategies to combat anti-money laundering in the country.
{"title":"Enhancing Anti-Money Laundering Strategies: A Conceptual Paper","authors":"Yusri Hazrol Yusoff, Syahirah Jumbli, Nur Nashuha Norazman, Nor Shahida Binti Abdul Razak, Muhamad Ridzuan Hashim","doi":"10.5430/afr.v13n3p1","DOIUrl":"https://doi.org/10.5430/afr.v13n3p1","url":null,"abstract":"The effectiveness of strategies in enhancing anti-money laundering depends on various factors such as technological advancements, anti-money laundering laws and regulations, responsibilities of banks and other financial entities in anti-money laundering, and Collaboration between government agencies, the private sector, and law enforcement. Money laundering harms the economy and political stability of a country. This paper examines the effectiveness of anti-money laundering strategies through an article review, focusing on three aspects: technological advancements, anti-money laundering laws and regulations, and responsibilities of banks and financial entities, as well as Collaboration between government agencies, private sector, and law enforcement. Based on these insights, recommendations are proposed for authorities to improve the strategies to combat anti-money laundering in the country.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"8 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ibrahim Shuayb Kademi, Norhayati Alias, N. Haron, Raziah Bi Mohamed Sadique
Working capital management is important in corporate finance and considerably impacts organizational profitability. The study investigates how working capital management impacts the performance (specifically in the context of financials) of publicly traded manufacturing companies listed on the Nigeria Stock Exchange (NSE). Data collected for this study was analyzed using Statistical Package for Social Sciences (SPSS) based on the sample of 18 manufacturing companies for five years from 2013 to 2017. Working capital management is important for all organizations as it can considerably impact profitability and financial performance. The linear regression study revealed a notable positive correlation between the Account Payable Period and profitability. An escalation in the duration of accounts payable is associated with increased profitability. The second regression model conclusion indicates that a reduction in the duration (days) to collect sales from consumers is linked to a reduction in the profit since accounts receivable are negatively and insignificantly correlated with profitability. The third discovery in this study revealed an insignificant adverse relationship between the conversion period for inventory and profitability. Manufacturing companies need to turn their inventory into sales to increase profits promptly. This analysis revealed an insignificant inverse correlation between the conversion cycle for cash and profitability.
{"title":"Working Capital Management and Financial Performance: Evidence from Nigeria’s Public Listed Manufacturing Companies","authors":"Ibrahim Shuayb Kademi, Norhayati Alias, N. Haron, Raziah Bi Mohamed Sadique","doi":"10.5430/afr.v13n2p142","DOIUrl":"https://doi.org/10.5430/afr.v13n2p142","url":null,"abstract":"Working capital management is important in corporate finance and considerably impacts organizational profitability. The study investigates how working capital management impacts the performance (specifically in the context of financials) of publicly traded manufacturing companies listed on the Nigeria Stock Exchange (NSE). Data collected for this study was analyzed using Statistical Package for Social Sciences (SPSS) based on the sample of 18 manufacturing companies for five years from 2013 to 2017. Working capital management is important for all organizations as it can considerably impact profitability and financial performance. The linear regression study revealed a notable positive correlation between the Account Payable Period and profitability. An escalation in the duration of accounts payable is associated with increased profitability. The second regression model conclusion indicates that a reduction in the duration (days) to collect sales from consumers is linked to a reduction in the profit since accounts receivable are negatively and insignificantly correlated with profitability. The third discovery in this study revealed an insignificant adverse relationship between the conversion period for inventory and profitability. Manufacturing companies need to turn their inventory into sales to increase profits promptly. This analysis revealed an insignificant inverse correlation between the conversion cycle for cash and profitability.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"90 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141111444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohd Afiq bin Azero, Sarah Nur Aisyah Kay Abdullah, Zailawati Zakaria, Hasfaliza Haris, Yusri Hazrol Yusoff
The nexus between cybercrime and money laundering poses significant challenges that require a holistic understanding and strengthened global efforts to address. Cybercrimes provide financial motivation for criminals to engage in illicit activities. Techniques like cryptocurrency laundering and exploiting online payment systems allow criminals to disguise illegal proceeds. Investigating these modern financial crimes faces hurdles from rapid technological advancements, encryption, international jurisdiction issues, and lack of standardized information sharing between agencies and sectors. Gaps exist in current anti- money laundering legal frameworks in properly criminalizing emerging cyber threats and prosecuting related offenses effectively, as seen in the Malaysian context. Reforms are needed to enhance enforcement mechanisms, risk assessment practices, and the role of regulatory authorities like the Financial Intelligence Unit. A comprehensive approach combining updated laws, improved inter-agency coordination, public-private collaboration, and adaptive strategies is crucial to counter the evolving nexus between cybercrime and money laundering in today's digital landscape.
{"title":"The Nexus of Cybercrime and Money Laundering: A Conceptual Paper","authors":"Mohd Afiq bin Azero, Sarah Nur Aisyah Kay Abdullah, Zailawati Zakaria, Hasfaliza Haris, Yusri Hazrol Yusoff","doi":"10.5430/afr.v13n2p167","DOIUrl":"https://doi.org/10.5430/afr.v13n2p167","url":null,"abstract":"The nexus between cybercrime and money laundering poses significant challenges that require a holistic understanding and strengthened global efforts to address. Cybercrimes provide financial motivation for criminals to engage in illicit activities. Techniques like cryptocurrency laundering and exploiting online payment systems allow criminals to disguise illegal proceeds. Investigating these modern financial crimes faces hurdles from rapid technological advancements, encryption, international jurisdiction issues, and lack of standardized information sharing between agencies and sectors. Gaps exist in current anti- money laundering legal frameworks in properly criminalizing emerging cyber threats and prosecuting related offenses effectively, as seen in the Malaysian context. Reforms are needed to enhance enforcement mechanisms, risk assessment practices, and the role of regulatory authorities like the Financial Intelligence Unit. A comprehensive approach combining updated laws, improved inter-agency coordination, public-private collaboration, and adaptive strategies is crucial to counter the evolving nexus between cybercrime and money laundering in today's digital landscape.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"45 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141112238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siti Nursyafiqa Syaqireen Azmi, N. Hamid, I. Ismail, Mohd Rizal Palil
The objective of the research is to examine the relationship between board attributes and TA among publicly listed companies. This study utilised a quantitative approach using secondary data from companies listed on the Bursa Malaysia Top 100 Index. The final sample consists of 79 firms. The annual reports from 2018 to 2022 were used for data collection, with 395 firm-year observations. The dependent variable was TA, which was proxied by the effective tax rate, and the independent variables were board size, board independence, board gender diversity, and CEO duality. This study shows a negative and significant relationship between board size and TA. Meanwhile, there is no association between board independence, board gender diversity, and CEO duality, and TA. This research focused on one facet of CG, namely the board attributes, and only four variables are included in this study. Hence, it provides a narrow view of the relationship between CG and TA. Besides that, this research was conducted in the Malaysian context and thus may differ from research conducted in other countries. The outcome of this study could offer useful insights to investors and other stakeholders in their decision-making process. Besides that, regulators can reference this study to strengthen the CG codes to protect stakeholder interests.
本研究旨在探讨上市公司董事会属性与 TA 之间的关系。本研究采用定量方法，使用马来西亚证券交易所 100 强指数上市公司的二手数据。最终样本包括 79 家公司。数据收集使用的是 2018 年至 2022 年的年度报告，共有 395 个公司年度观测值。因变量为 TA，用实际税率表示，自变量为董事会规模、董事会独立性、董事会性别多样性和 CEO 双重性。研究结果表明，董事会规模与实际税率之间存在显著的负相关关系。同时，董事会独立性、董事会性别多样性和首席执行官双重性与 TA 之间没有关联。本研究只关注了企业管治的一个方面，即董事会的属性，并且只包含了四个变量。因此，该研究对企业管治与 TA 之间的关系提供了一个狭隘的视角。此外，这项研究是在马来西亚的背景下进行的，因此可能与其他国家的研究有所不同。本研究的结果可以为投资者和其他利益相关者在决策过程中提供有用的见解。此外，监管机构可参考本研究加强企业管治守则，以保护利益相关者的利益。
{"title":"The Influence of Board Attributes towards Tax Avoidance: Evidence from Malaysian Public Listed Companies","authors":"Siti Nursyafiqa Syaqireen Azmi, N. Hamid, I. Ismail, Mohd Rizal Palil","doi":"10.5430/afr.v13n2p154","DOIUrl":"https://doi.org/10.5430/afr.v13n2p154","url":null,"abstract":"The objective of the research is to examine the relationship between board attributes and TA among publicly listed companies. This study utilised a quantitative approach using secondary data from companies listed on the Bursa Malaysia Top 100 Index. The final sample consists of 79 firms. The annual reports from 2018 to 2022 were used for data collection, with 395 firm-year observations. The dependent variable was TA, which was proxied by the effective tax rate, and the independent variables were board size, board independence, board gender diversity, and CEO duality. This study shows a negative and significant relationship between board size and TA. Meanwhile, there is no association between board independence, board gender diversity, and CEO duality, and TA. This research focused on one facet of CG, namely the board attributes, and only four variables are included in this study. Hence, it provides a narrow view of the relationship between CG and TA. Besides that, this research was conducted in the Malaysian context and thus may differ from research conducted in other countries. The outcome of this study could offer useful insights to investors and other stakeholders in their decision-making process. Besides that, regulators can reference this study to strengthen the CG codes to protect stakeholder interests.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"47 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141109356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ovbe Simon Akpadaka, Musa Adeiza Farouk, D. Y. Dang
This study examines how dividend policy, profitability, and institutional ownership affect the value of a company. This study also examines how dividend policy affects the paths of profitability, institutional ownership, and firm value in the Nigerian Exchange Group (NGX). The study used a longitudinal research design with 46 purposively sampled firms and a dataset spanning from 2012 to 2022, yielding 417 observations. We used multiple path analyses with bootstrap mediation and 2000 replications to examine the manufacturing sector and five subsectors. This helped us understand how exogenous variables affect endogenous variables in a more complex way by showing their direct, indirect, and total effects. The most important results showed that 1) DPS, which stands for dividend policy, did not have a significant mediating effect on profitability at the aggregate or subsector level; 2) DPS did have a significant positive mediating effect on institutional ownership at the aggregate level; and 3) DPS had a significant negative mediating effect on consumer staples. This study covered the manufacturing firms listed on the NGX, which limits the outcome’s applicability to other sectors and geographic regions. Some implications for investors and regulators are that institutional ownership and dividend policy (DPS) are potent tools for mitigating agency costs and that dividend payments send signals and help reduce information asymmetry, which ultimately positively impacts value. This study contributes to the literature on mediation analysis in a novel manner by applying bootstrap mediation analysis within the geographic context of Nigeria, which brings a new perspective to financial analysis methodology in emerging markets.
{"title":"How Do Profitability and Institutional Ownership Drive Value through Dividend Policy? Evidence from Nigeria","authors":"Ovbe Simon Akpadaka, Musa Adeiza Farouk, D. Y. Dang","doi":"10.5430/afr.v13n2p129","DOIUrl":"https://doi.org/10.5430/afr.v13n2p129","url":null,"abstract":"This study examines how dividend policy, profitability, and institutional ownership affect the value of a company. This study also examines how dividend policy affects the paths of profitability, institutional ownership, and firm value in the Nigerian Exchange Group (NGX). The study used a longitudinal research design with 46 purposively sampled firms and a dataset spanning from 2012 to 2022, yielding 417 observations. We used multiple path analyses with bootstrap mediation and 2000 replications to examine the manufacturing sector and five subsectors. This helped us understand how exogenous variables affect endogenous variables in a more complex way by showing their direct, indirect, and total effects. The most important results showed that 1) DPS, which stands for dividend policy, did not have a significant mediating effect on profitability at the aggregate or subsector level; 2) DPS did have a significant positive mediating effect on institutional ownership at the aggregate level; and 3) DPS had a significant negative mediating effect on consumer staples. This study covered the manufacturing firms listed on the NGX, which limits the outcome’s applicability to other sectors and geographic regions. Some implications for investors and regulators are that institutional ownership and dividend policy (DPS) are potent tools for mitigating agency costs and that dividend payments send signals and help reduce information asymmetry, which ultimately positively impacts value. This study contributes to the literature on mediation analysis in a novel manner by applying bootstrap mediation analysis within the geographic context of Nigeria, which brings a new perspective to financial analysis methodology in emerging markets.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"25 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141119291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indonesian tax authorities currently encounter a lack of cooperative compliance among companies engaged in transfer pricing practices with their affiliated entities across borders. Transfer pricing is commonly associated with tax purposes, such as tax planning or avoidance, which is considered standard practice for business entities. Hence, there is a significant necessity to assess and evaluate the prevalence of tax planning or avoidance through transfer pricing in multinational enterprises operating in Indonesia. To gauge the extent of transfer pricing used for tax avoidance purposes, this study examines the perspective of tax authorities on companies' transfer pricing optimization behavior. Employing a qualitative approach, the study aims to comprehend the utilization of transfer pricing and its implications. The findings provide insights into transfer pricing behavior within companies over time. According to tax authorities, companies are motivated by the benefits of transfer pricing, including revenue optimization, corporate profit allocation, and cost optimization. However, these practices are influenced by various factors that facilitate or constrain transfer pricing activities. Multinational enterprises demonstrate limited awareness of normative beliefs regarding international and domestic transfer pricing regulations. Notably, companies affiliated with large multinational enterprises, possessing a strong understanding of transfer pricing, exhibit a high potential for tax planning or avoidance through transfer pricing arrangements with related parties. These findings contribute to the existing body of research on transfer pricing practices from the perspective of tax authorities as part of the Indonesian government.
{"title":"Conceptualizing the MNEs Transfer Pricing Behavior: Indonesian Tax Authority Perspective","authors":"Hani Werdi Apriyanti, Suzana Sulaiman, Adibah Jamaluddin","doi":"10.5430/afr.v13n2p119","DOIUrl":"https://doi.org/10.5430/afr.v13n2p119","url":null,"abstract":"Indonesian tax authorities currently encounter a lack of cooperative compliance among companies engaged in transfer pricing practices with their affiliated entities across borders. Transfer pricing is commonly associated with tax purposes, such as tax planning or avoidance, which is considered standard practice for business entities. Hence, there is a significant necessity to assess and evaluate the prevalence of tax planning or avoidance through transfer pricing in multinational enterprises operating in Indonesia. To gauge the extent of transfer pricing used for tax avoidance purposes, this study examines the perspective of tax authorities on companies' transfer pricing optimization behavior. Employing a qualitative approach, the study aims to comprehend the utilization of transfer pricing and its implications. The findings provide insights into transfer pricing behavior within companies over time. According to tax authorities, companies are motivated by the benefits of transfer pricing, including revenue optimization, corporate profit allocation, and cost optimization. However, these practices are influenced by various factors that facilitate or constrain transfer pricing activities. Multinational enterprises demonstrate limited awareness of normative beliefs regarding international and domestic transfer pricing regulations. Notably, companies affiliated with large multinational enterprises, possessing a strong understanding of transfer pricing, exhibit a high potential for tax planning or avoidance through transfer pricing arrangements with related parties. These findings contribute to the existing body of research on transfer pricing practices from the perspective of tax authorities as part of the Indonesian government.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"114 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140977802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Credit risk is one of the most important elements in risk management area. Traditional regression types of credit risk models are straightforward to implement and model outputs are easy to interpret. However, the model accuracy can always be suboptimal to fit the real credit risk data series. Especially, the model performance even deteriorates under extreme economic scenarios. In contrast, the modern machine learning models can handle different drawbacks of regression types of models. In this paper, we survey the recent literatures on applying the machine learning or deep learning methods in credit risk forecast with special focus on study the superiorities of these techniques. Besides of delivering better prediction accuracies, we uncover other four advantages for machine learning type of default forecast which have been shown in few literatures. We also survey the less studied machine learning or deep learning type of prepayment forecast. By reviewing past literatures from both default and prepayment risk aspects, we can gain comprehensive overview of utilizing machine learning techniques in credit risk forecasting and valuable insights for future risk management research.
{"title":"Machine Learning in Credit Risk Forecasting —— A Survey on Credit Risk Exposure","authors":"Shaoshu Li","doi":"10.5430/afr.v13n2p107","DOIUrl":"https://doi.org/10.5430/afr.v13n2p107","url":null,"abstract":"Credit risk is one of the most important elements in risk management area. Traditional regression types of credit risk models are straightforward to implement and model outputs are easy to interpret. However, the model accuracy can always be suboptimal to fit the real credit risk data series. Especially, the model performance even deteriorates under extreme economic scenarios. In contrast, the modern machine learning models can handle different drawbacks of regression types of models. In this paper, we survey the recent literatures on applying the machine learning or deep learning methods in credit risk forecast with special focus on study the superiorities of these techniques. Besides of delivering better prediction accuracies, we uncover other four advantages for machine learning type of default forecast which have been shown in few literatures. We also survey the less studied machine learning or deep learning type of prepayment forecast. By reviewing past literatures from both default and prepayment risk aspects, we can gain comprehensive overview of utilizing machine learning techniques in credit risk forecasting and valuable insights for future risk management research.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"58 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140979116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nur Hayati Ab Samad, Nurul Iffah Ghazali, R. Kusumaningtias, Rediyanto Putra
Non-profit organizations (NPOs) play a significant role in the implementation of Sustainable Development Goals (SDGs) by serving as intermediaries between governments, communities, and businesses, facilitating the localization and contextualization of global goals, including developing countries. Malaysia and Indonesia are two prominent developing countries in Southeast Asia. Despite sharing similar socioeconomic contexts, both countries may exhibit different approaches to regulating and governing their non-profit sector. Drawing upon the existing literature and governmental documents, this study discusses a comparative analysis of the regulation and governance of NPOs in Malaysia and Indonesia. Specifically, this study discusses the similarities and differences in terms of the legal framework governing the formation, existence, and tax treatment for NPOs in both countries. By identifying the similarities and differences, this study contributes a deeper understanding of the opportunities and challenges governing NPOs in developing countries.
{"title":"Governance of Non-Profit Organizations in Developing Countries: Malaysia and Indonesia","authors":"Nur Hayati Ab Samad, Nurul Iffah Ghazali, R. Kusumaningtias, Rediyanto Putra","doi":"10.5430/afr.v13n2p98","DOIUrl":"https://doi.org/10.5430/afr.v13n2p98","url":null,"abstract":"Non-profit organizations (NPOs) play a significant role in the implementation of Sustainable Development Goals (SDGs) by serving as intermediaries between governments, communities, and businesses, facilitating the localization and contextualization of global goals, including developing countries. Malaysia and Indonesia are two prominent developing countries in Southeast Asia. Despite sharing similar socioeconomic contexts, both countries may exhibit different approaches to regulating and governing their non-profit sector. Drawing upon the existing literature and governmental documents, this study discusses a comparative analysis of the regulation and governance of NPOs in Malaysia and Indonesia. Specifically, this study discusses the similarities and differences in terms of the legal framework governing the formation, existence, and tax treatment for NPOs in both countries. By identifying the similarities and differences, this study contributes a deeper understanding of the opportunities and challenges governing NPOs in developing countries.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"22 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141010944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yusri Hazrol Yusoff, Intan Nadilah, Muhammad Khoirul Anwar, Raihan Adnan Yustiansyah, Raihan Herwin Utama, Muhammad Dahlan
Carbon taxes are one of the climate control tools that help achieve sustainable economic growth. It is a market-based instrument that aims to reduce greenhouse gas emissions by making it more expensive to emit carbon dioxide. The Indonesian government has shown its seriousness in reducing global warming by establishing carbon tax regulations, including a provision in Law No. 7 of 2021 concerning the Harmonization of Tax Regulations. Despite implementing carbon taxes in several countries, their implementation must be reconsidered to ensure the objective is achieved. Therefore, this research aims to optimize the implementation of a carbon tax to reduce the impact of environmental pollution. This paper will investigate whether or not the carbon tax has already reduced emissions or if it is not affected at all. Three factors could cause carbon emissions: Coal, vehicle, and greenhouse gas emissions. Therefore, conducting an expectation study encompassing these policymakers, stakeholders, and researchers can gain insights into the potential outcomes and impacts of optimizing the implementation of a carbon tax in reducing environmental pollution. It can inform decision-making processes and help guide the designing and refining adequate and equitable environmental policies.
{"title":"Optimizing the Implementation of Carbon Tax in Reducing the Impact of Environmental Pollution","authors":"Yusri Hazrol Yusoff, Intan Nadilah, Muhammad Khoirul Anwar, Raihan Adnan Yustiansyah, Raihan Herwin Utama, Muhammad Dahlan","doi":"10.5430/afr.v13n2p89","DOIUrl":"https://doi.org/10.5430/afr.v13n2p89","url":null,"abstract":"Carbon taxes are one of the climate control tools that help achieve sustainable economic growth. It is a market-based instrument that aims to reduce greenhouse gas emissions by making it more expensive to emit carbon dioxide. The Indonesian government has shown its seriousness in reducing global warming by establishing carbon tax regulations, including a provision in Law No. 7 of 2021 concerning the Harmonization of Tax Regulations. Despite implementing carbon taxes in several countries, their implementation must be reconsidered to ensure the objective is achieved. Therefore, this research aims to optimize the implementation of a carbon tax to reduce the impact of environmental pollution. This paper will investigate whether or not the carbon tax has already reduced emissions or if it is not affected at all. Three factors could cause carbon emissions: Coal, vehicle, and greenhouse gas emissions. Therefore, conducting an expectation study encompassing these policymakers, stakeholders, and researchers can gain insights into the potential outcomes and impacts of optimizing the implementation of a carbon tax in reducing environmental pollution. It can inform decision-making processes and help guide the designing and refining adequate and equitable environmental policies.","PeriodicalId":512810,"journal":{"name":"Accounting and Finance Research","volume":"80 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140655068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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