Sample Of Companies Research Articles

Green technology innovation and carbon emission efficiency: The moderating role of environmental uncertainty

Given the significant global warming caused by large-scale carbon emissions, it has become a crucial issue affecting human survival and world development. As a supportive means for relevant policies, the implementation of green technology innovation is essential for effectively achieving dual carbon goals. In order to explore the intrinsic relationship and impact mechanism between green technology innovation and carbon emission efficiency, this study takes data from high-energy-consuming manufacturing companies listed on the A-share market in China from 2010 to 2019 as samples. It uses the Super-SBM model to measure the carbon emission efficiency of sample companies and employs a two-way fixed effects model to verify the impact of green technology innovation on the carbon emission efficiency of high-energy-consuming manufacturing enterprises. Furthermore, this study also explores the external mechanism of green technology innovation related to carbon emission efficiency, focusing on the moderating variable of environmental uncertainty. The study found that both the quantity and quality of green technology innovation can significantly promote the carbon emission efficiency of high-energy-consuming manufacturing enterprises, and the accuracy of the results remains unchanged after conducting robustness tests. Environmental uncertainty plays an important role in moderating the process of green technology innovation, affecting the carbon emission efficiency of high-energy-consuming manufacturing enterprises. Heterogeneity tests show that the impact of green technology innovation on carbon emission efficiency is particularly significant in the central region and in enterprises experiencing decline. The policy implications derived from empirical analysis aim to provide empirical evidence for promoting the high-quality development of China's high-energy-consuming manufacturing enterprises.

PENGARUH FEE AUDIT, FINANCIAL DISTRESS, KOMISARIS INDEPENDEN, DAN KOMITE AUDIT TERHADAP INTEGRITAS LAPORAN KEUANGAN

This research aims to examine the influence of audit fees, financial distress, independent commissioners and audit committees on the integrity of financial reports. Audit fees are measured using the natural logarithm of professional fees, financial distress is measured using the debt to equity ratio, independent commissioners are measured using the ratio of the number of members of the company's independent commissioners to the number of members of the company's board of commissioners, audit committees are measured using the comparison of the number of audit committees that come from from the independent committee with the number of audit committee members and the integrity of the financial reports as measured using the market to book ratio. This type of research is quantitative. Based on purposive sampling, the number of sample companies was 29 companies with an observation period of 5 years, so the total sample was 145 data on the property and real estate sectors listed on the Indonesia Stock Exchange (BEI) during the 2018-2022 period. The data analysis used in this research is a panel data regression model using E-Views 12. The results of this research show that partially audit fees and audit committees have no effect on the integrity of financial reports. Financial distress and independent commissioners have a significant effect on the integrity of financial reports. Meanwhile, simultaneously audit fees, financial distress, independent commissioners and audit committees influence the integrity of financial reports. Keywords: Financial Statement Integrity, Audit Fees, Financial Distress, Independent Commissioner, Audit Committee.

The Impact of CSI SEEE Carbon Neutral Index Launched on Order Aggressiveness

In the context of carbon peaking and carbon neutrality goals, in order to clarify the investment direction for investors, China Securities Index Co., Ltd. (CSI) has collaborated with the Shanghai Environmental Energy Exchange to develop the CSI SEEE Carbon Neutral Index (CSCNI), which has also played a leading role in the subsequent preparation of the Green Finance Index. The launch of this index has sparked research interest among scholars in stimulating investor order aggressiveness. This study employs event study methodology to examine the impact of the CSCNI launch on order aggressiveness. The sample companies are categorized into two groups: deep low-carbon and high-carbon reduction, with a focus on studying buy and sale order aggressiveness. The results indicate that the launch of CSCNI has mobilized order aggressiveness but has led to a negative stock price effect as investors anticipate an increase in environmental costs for the sample companies. Furthermore, we reveal that the long-term growth potential of the deep low-carbon field is more promising compared to the high-carbon reduction sector, making stocks in the deep low-carbon field more attractive. The launch of CSCNI has shown contrasting effects on the buy and sale order aggressiveness of investors, with the impact of the index announcement being more significant on the sample companies. This research provides valuable insights for evaluating the impact of green finance indices and contributes to the understanding of internal mechanisms. It provides an important reference for financial regulators to evaluate the development of the current green index. At the same time, it expands the domestic research on order aggressiveness, which studies the action mechanism of the stock price effect of the green stock index from the perspective of order aggressiveness.

Financial risk forewarning with an interpretable ensemble learning approach: An empirical analysis based on Chinese listed companies

An efficient and intelligent forewarning model for financial risk is essential to assist company managers, investors, and market regulators in risk management. This research aims to establish an accurate and understandable financial distress forewarning model based on advanced ensemble learning techniques, including Bootstrap Aggregating (Bagging) and Light Gradient Boosting Machine (LightGBM). Meanwhile, the Borderline-Synthetic Minority Over-sampling Technique (Borderline-SMOTE) is employed to address the imbalance problem between financial distress and non-distressed samples. The Multi-Objective Particle Swarm Optimization (MOPSO) is applied to perform multi-objective optimization of the hyperparameters of the proposed model. In addition, the SHapley Additive exPlanations (SHAP) is adopted to conduct an interpretability analysis of the forewarning results. The Chinese listed companies from 2006 to 2022 are considered as the research samples, and the financial ratios of the sample companies in the first, second, and third years before the financial distress is utilized as forewarning features. The experimental findings reveal that the proposed model has the best forewarning performance by using the features from first year before the financial distress. The model proposed in this study also outperforms other comparative models in terms of Accuracy (88.45%), Negative Predictive Value (74.44%), Recall (91.10%), and Specificity (80.26%). Finally, this research has discovered that the Return on Total Assets is the most influential indicator in forewarning financial distress. Therefore, the proposed model can provide listed company managers, investors, and market regulators with an intelligent and effective tool in decision-making for financial distress forewarning.

Impact of senior management’s financial intelligence on the financial performance of banks and insurance companies in the Gaza Strip

PurposeThis study investigates the impact of senior management’s financial intelligence on the financialperformance of banks and insurance companies operating in the Gaza Strip.DesignThe study followed the descriptive analytical approach to measure financial performance by relying on the financial reports of the sample companies for 2022. Two primary sources were employed: a questionnaire to collect the financial intelligence data, and it was distributed to a sample of individuals representing the management of companies operating in the Gaza Strip. A total of (67) completed questionnaires were obtained. In addition, secondary data from 11 banks and insurance companies operating in the Gaza Strip was collected to compute the financial performance variables such as returns on investment (ROI), assets (ROA), and equity (ROE). The collected data were then analyzed using SPSS software version 28.FindingsThe results indicated that the dimensions of financial intelligence were available. Banks and insurance companies have good financial performance. Furthermore, financial intelligence (understanding beyond the numbers, understanding financial analysis, and grasping the overall financial picture) significantly affected the performance of banks and insurance companies, as measured by ROI and ROA. The dimensions of financial intelligence (mastering financial and monetary skills, understanding financial analysis, and grasping the overall financial picture) also significantly impacted the performance of banks and insurance companies as measured by ROE. Simultaneously, there was no significant effect of financial intelligence (mastering financial and monetary skills) on the performance of banks and insurance companies as measured by ROI and ROA. Furthermore, there was no significant effect of financial intelligence (understanding beyond the numbers) on the performance of banks and insurance companies as measured by ROE.OriginalityTo the best of the author’s knowledge, the current study is among the first research efforts in Palestine.Practical implicationsThe findings indicate that senior management should pay greater attention to developing financial intelligence skills among employees in supervisory positions, especially those in the administrative, financial, and planning fields, due to their impact on improving companies’ performance.

DETERMINASI PERSISTENSI LABA: Peran Volatilitas Penjualan, Arus Kas Operasi, dan Tingkat Hutang pada Sektor Properti dan Real Estate di Indonesia

Profit persistence can be interpreted as the possibility that a company's profit level will repeat itself in the future. This study aims to determine the effect of sales volatility (X1), operating cash flow (X2) and debt levels (X3) on profit persistence (Y) in Properties and Real Estate companies listed on the Indonesia Stock Exchange for the 2017-2021 period. Sampling in this study used a purposive sampling technique and obtained 13 sample companies. The data analysis method used is quantitative data analysis, namely using panel data regression analysis and using the EViews 12 tool. The results of this study indicate that partially operating cash flow has an effect on earnings persistence. Meanwhile, sales volatility and debt levels partially have no effect on earnings persistence. Meanwhile, simultaneously sales volatility, operating cash flow and debt levels affect earnings persistence with an R2 contribution of 21.35%.

Implementation of Human Resources in Efforts Improving the Quality of Work at PT

Human Resources (HR) is the company's main milestone in developing and maintaining its existence. Good and quality human resources will also produce high value for the company. In this research, the fact was found that a company can be said to be successful if its support, in this case Human Resources, is also met. Researchers discovered the fact that PT. X as a sample company has experienced downfalls and triumphs due to Human Resources (HR) factors. PT. X is a company that specializes in the field of packaging materials with decades of experience. This company is consistent, professional as a distributor and has a high commitment to providing service to its customers. This company provides services in the field of providing packaging materials such as aluminum foil, polyester and plastic pellets which are commonly used by other companies for produce packaging for their products

FRAUD HEXAGON THEORY AND FRAUDULENT FINANCIAL STATEMENTS IN BASIC INDUSTRIAL AND CHEMICAL SECTOR COMPANIES LISTED ON THE IDX

Financial statement fraud (FSF) is the act of reporting inaccurate or distorted financial information to manipulate company performance or gain illegitimate personal gain. This research examines the influence of elements in the Hexagon Fraud on financial statement fraud. The analytical method used in this research is multiple linear analysis using purposive sampling technique to select the research sample. The sample for this research was 19 companies in the basic industrial and chemical sectors listed on the IDX from 2021 to 2022 with a 2-year observation period, totaling 38 sample companies. The results obtained are as follows: (X1) Financial stability as an element of Stimulus measurement in the fraud hexagon theory, (X2) frequent number of CEO Picture as an element of Ego measurement in the fraud hexagon theory, (X3) Change in auditor as an element of Rationalization measurement in the hexagon fraud theory, (X4) nature of industry as an element of Opportunity measurement in the hexagon fraud theory, (X5) change of directors as an element of Capability measurement in the fraud hexagon theory, and (X6) government projects as elements of Collusion measurement in the hexagon fraud theory. Simultaneously, they influence fraud in financial statements, while Stimulus, Ego, Rationalization, and Opportunity have no influence on financial statements. Capability and Collusion influence financial statement fraud

THE EFFECT OF LIQUIDITY, SOLVENCY AND ACTIVITY ON PROFITABILITY WITH SALES GROWTH AS A MODERATING VARIABLE IN PROPERTY AND REAL ESTATE COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE

Objective – This study aims to analyze empirically the effect of liquidity, solvency, and activity on profitability with sales growth as a moderating variable in property and real estate companies listed on the Indonesia Stock Exchange. Design/Methodology/Approach – This research uses Quantitative research. Sampling was carried out by purposive sampling, and obtained a sample of 20 sample companies. The data analysis method used is SmartPLS software. Findings – The results of this research analysis show that liquidity has no significant effect on profitability; solvency and activity have a significant effect on profitability; sales growth are not able to moderate the effect of liquidity, solvency, and activity on profitability. Conclusion and Implications – The liquidity has no significant effect on profitability; solvency and activity have an influence and are significant to profitability; sales growth is not able to moderate the influence of liquidity, solvency and activity on profitability. The company needs to innovate and evaluate strategies to increase the contribution of sales growth to the company. Investors and potential investors are more selective in choosing companies to invest in by paying attention to the company's financial condition.

The Relationship between Sustainability Reports Disclosure Level and Stock Price Crash Risk

This study examined the relationship between sustainability reports disclosure level and stock price crash risk, as its main goal is to answer the question “what is the relationship between the disclosure level of sustainability reports dimensions (economic, social, and environmental) and the stock price crash risk?” Using a sample of 20 companies listed in the Egyptian sustainability index EGX ESG from 2017 to 2022. The proposed model and hypotheses were analysed using structural equation modelling. The results indicated that there is a statistically significant negative relationship between the disclosure level of all sustainability reports dimensions (economic, social, and environment) and stock price crash risk, as the increase of the level of disclosure in any sector of sustainability reports (economic, social, and environmental) leads to a decrease in the stock price crash risk for the companies in the study sample. Keywords: Sustainability Reports Disclosure, Stock Price Crash Risk

The corporate governance impacts on BNDES financing to the agribusiness expanded chain

Brazilian agribusiness stands out on the global stage as one of the main food producers and exporters in the world and is currently considered the most powerful segment of the country's economy. the present work aims to understand the impact that corporate governance has on the capture of so-called quality funding (attractive conditions of financial volumes, terms and costs), specifically from subsidized credit lines from BNDES, for the Agribusiness segment. It was used a final sample of 31 publicly traded companies (initially starting from 145 companies in the expanded agribusiness chain), listed on B3 which contracted financing from BNDES. The evidence of multiple linear regression, suggest that the adoption of corporate governance practices may not be decisive in attracting quality funding from the BNDES. It was found that companies in the final sample that adhere to the B3's maximum level of governance, namely the Novo Mercado, do not obtain, necessarily, lower financing costs than Levels 2 and 1 or those not adherent to the institution’s governance.

Company Performance Memoderasi Pengaruh Company Transparency, Corporate Social Responsibility, Karakteristik Eksekutif terhadap Tax Avoidance: pada Perusahaan Sektor Energy yang Terdaftar di BEI Periode Tahun 2018 - 2022

This research aims to test Company Performance Moderating the Influence of Company Transparency, Corporate Social Responsibility, Executive Characteristics on Tax Avoidance. The purpose of this study is to see if company performance can moderate the impact of company transparency, corporate social responsibility, and executive characteristics on tax avoidance. This research is classified as quantitative. The data used is secondary information gathered from www.idx.co.id and the corporate website. This research's population consists of Energy Sector Companies Listed on the IDX from 2018 to 2022. Meanwhile, the sample for this study was established using a purposive sampling method, yielding 33 sample companies. The analytical method employed is Panel Data Model Regression analysis. The results of this research show that Company Transparency has no effect on Tax Avoidance, Corporate Social Responsibility has no effect on Tax Avoidance, Executive Characteristics has no effect on Tax Avoidance, Company Performance cannot moderate the effect of company transparency on tax avoidance, Company Performance cannot moderate the effect of Corporate Social Responsibility on tax avoidance, and Company Performance can moderate the influence of Executive Characteristics.

Analysis of the Accuracy Level of the Balance Model in Stock Investment Prediction in the LQ45 Index

Objective –This study examines how the goal of an investor is to establish an optimal investment risk structure which maximizes profits by incurring fewer losses at a certain level of market risk. This research aims to determine the accuracy of the CAPM and APT models in predicting stock returns, as measured using Mean Absolute Deviation (MAD).Design/Methodology –The methods employed is a quantitative approach. The population for this study includes companies included in the LQ45 index during the 2020-2022 period consisting of monthly observations spanning from January to December. A purposive sampling technique was used to select 30 sample companies. The reason for using the LQ-45 index is because this index is an index in which there are 45 issuers. Apart from that, the shares included in the LQ-45 calculation are considered to reflect the movement of actively traded shares which will influence market conditions, consisting of shares with high liquidity and market capability, as well as growth prospects and fairly stable financial conditions.Results –The MAD calculation shows that the APT model is more accurate than the CAPM model. The choice of model use can be adjusted to the preferences of each investor. CAPM is a forecasting model that only uses market return factors, making it suitable for investors who want to predict stock returns easily and simply. On the other hand, APT can be used by investors who want to know in detail what macro factors influence changes in stock prices.Research Limitations/Implications – Increasing the length of time that researchers spend doing their research is recommended in order to improve the accuracy of their forecasts about future stock returns.Novelty/Originality –This instrument is highly beneficial for investors who are looking for a clear and effective technique to anticipate the returns on their stock investments. Investors who want a detailed grasp of the precise macroeconomic issues that affect swings in stock prices may find that applying the Arbitrage Pricing Theory (APT) is useful.

CORPORATE SOCIAL RESPONSIBILITY DISCLOSURE, INSTITUTIONAL OWNERSHIP, AND ASSET GROWTH TO IMPROVE FIRM VALUE

Firm value is investors' perception of the company's success in managing its resources which is reflected in the share price. Several factors that influence company value include the company's ability to carry out social responsibility which is related to the public value of the company. Apart from that, Good Corporate Governance can also influence the size of the company's value. However, internal factors, namely asset growth, can also have an impact on company value. This research aims to analyze the influence of Corporate Social Responsibility Disclosure, Institutional Ownership and Asset Growth on company value in companies listed on the Indonesia Stock Exchange. The sample companies are consumer goods companies with data analysis methods using descriptive and verification analysis. The results showed that partially Corporate Social Responsibility Disclosure had a negative and insignificant effect on firm value but Institutional Ownership and Asset Growth had a positive and significant effect on firm value.

Dividend policy in indonesia: evidence from manufacturing companies

This research attempts to identify the factors affecting dividend policy decision. The independent variables of this research are corporate governance (proxied by audit quality and board independence), investment opportunities, collateralizable assets, and company life cycle. Also previous years dividend and profitability as control variables. The population of this research is manufacturing companies listed on the Indonesia Stock Exchange (IDX) during 2018-2022. The sample was selected using purposive sampling methods and 62 sample companies that met the criterias were obtained. The data was analyzed using logistic regression analysis technique. This findings of this research confirm that company life cycle has a positive and significant effect on dividend policy. As companies reach the maturity stage, the propensity to pay dividends increases. Meanwhile, corporate governance, investment opportunities, and collateralizable assets do not affect dividend policy of manufacturing companies. Furthermore, the control variables previous years dividend and profitability have a positive and significant effect on dividend policy of manufacturing companies.

Pengaruh Thin Capitalization, Konservatisme Akuntansi Dan Financial Distress Terhadap Penghindaran Pajak Dengan Kepemilikan Institusional Sebagai Moderasi

This study aims to analyze the effect of thin capitalization, accounting conservatism and financial distress on tax avoidance with institutional ownership as moderating. This study uses secondary data, the data used in the form of financial report and annual report of companies listed on the Indonesia Stock Exchange. The type of research used in this study is causal research, namely research that aims to find a causal relationship of the variables studied to answer research questions. The samples used in this study are property and real estate companies that are listed on the Indonesia Stock Exchange in the period of 2018-2022. Data were collected using purposive sampling. The total number of companies in the study sample is 92 companies with a study period of 5 years, resulting in 80 samples after outliers. The results of the study using linear regression analysis, descriptive statistic, classic assumption and moderating regression analysis test indicate that thin capitalization and financial distress has a significant positive effect on tax avoidance. Furthermore, the results of linear regression analysis indicate that accounting conservatism not effect on tax avoidance. Then the results of moderating regression analysis test indicate that institutional ownership can strengthen the influence of thin capitalization, accounting conservatism and financial distress on tax avoidance. Keywords: Thin Capitalization, Accounting Conservatism, Financial Distress, Institutional Ownership, Tax Avoidance

Valuation Effects of Magnitude and Frequency of Share Repurchases: Indian Evidence

This study examines the valuation effects of the magnitude and frequency of share repurchases for 181 Bombay Stock Exchange–listed stocks from 2000 to 2021. We investigate the valuation effect of share repurchases by calculating the sample companies’ average abnormal returns (AARs) and average cumulative abnormal returns (CARs) using the market model of event-study methodology. The findings show that the magnitude of share repurchases impacts the stock prices of the sample companies, regardless of the size of the repurchases concerning the total number of ordinary shares outstanding. Furthermore, when compared to single-time repurchasing companies, frequent repurchasing companies experience abnormal returns. This study contributes to the scant literature on the frequency and magnitude of share repurchases across the world.

Analisis Panel Regression: Profitability, Debt Policy and Economic Value Added to the Value of Automotive and Component Companies in Indonesia

This study aims to prove the effect of profitability (Return On Equity), Debt Policy (Debt to Equity Ratio), and Economic Value Added on Company Value (Price Book Value), both partially and simultaneously. This research approach is quantitative which is associative in nature to prove the effect of independent variables on dependent variables. The population of this study is an automotive company listed on the IDX using 12 sample companies during the 2019 - 2022 observation period so that 48 observation data units are obtained. The data analysis method used is Panel Regression which uses cross-sectional and time series data. The methods used are Chow Test, Hausman Test to estimate the selected regression model. This study proves that the Fixed Effect Model is the selected regression model. The results prove that Profitability as measured by ROE has no significant effect on the value of Automotive companies on the IDX Debt policy as measured by DER has a significant effect on the value of Automotive companies on the IDX. Economic Value Added (EVA) has a significant effect on the value of Automotive companies on the IDX. The results of simultaneous testing prove that profitability, debt policy and EVA together have an effect on firm value.

Pengaruh Reputasi Kantor Akuntan Publik, Umur Perusahaan, Dan Solvabilitas Terhadap Audit Delay

This research was conducted to find out and analyze whether during the Covid-19 pandemic audit delay was influenced by KAP reputation, company age and solvency. This test was carried out on manufacturing companies in the consumer goods industry sector listed on the Indonesian Stock Exchange (BEI) for the period 2020 to 2022. A total of 61 sample companies used in this research were obtained using the 'purposive sampling' method, the data was tested using the technique multiple regression analysis processed with SPSS version 25 software. The results of this research can be concluded that only the Solvency variable does not have a significant effect on Audit Delay.

Pengaruh Operating Leverage Dan Financial Leverage Terhadap Laba Per Lembar Saham

This research is motivated by the complex relationship between operating leverage, financial leverage, and earnings per share (EPS) in the context of corporate finance. This research aims to analyze the impact of operating leverage and financial leverage on earnings per share in manufacturing companies listed on the Jakarta Islamic Index during the period 2018-2022. Utilizing financial data from the sample companies, the study adopts a quantitative approach with regression analysis using Eviews to evaluate the relationship between operational and financial leverage with the performance of earnings per share. The research results indicate that operating leverage does not have a significant effect on earnings per share, with a partial test probability value of 0.9744 > 0.05. Financial leverage also does not have a significant effect on earnings per share, with a partial test probability value of 0.7368 > 0.05. Simultaneously, operating leverage and financial leverage do not have a significant effect on earnings per share, with a simultaneous test probability value of 0.94578 > 0.05. The calculation of the coefficient of determination shows that the independent variables in the model fail to explain the variation in the dependent variable well. Subsequent research is recommended to increase the sample size of manufacturing companies listed on the JII and replace insignificant independent variables with others that can significantly influence earnings per share.