Asset Variables Research Articles

Energy transitions across household distributions in northern India

This paper investigates sustainable household energy transitions including a reduction in kerosene lamp use and increases in solar home systems and solar lanterns. We use a large and detailed survey of around 9,000 households in northern India in 2015 and 2018. Our key analytical insights focus on inequality across economic and wealth distributions, including the lack of major distributional changes between the two survey waves. We find that a positive relationship between economic resources and solar home system use is driven by the upper end of economic distributions. Kerosene use is also substantially lower for the top of the economic distribution, especially in the 2018 survey. In contrast, economic resources have a weak relationship with solar lantern use. Future policies can be devised with reference to our results showing a more robust relationship between assets, rather than income, and household energy transitions. The stronger influence of assets is evident for a range of asset variables and for a composite wealth index which we construct. Detailed analysis of socio-economic distributions has value for informing policy attempts to target support to constrained households.

Pengaruh Leverage dan Faktor lainnya terhadap Kesulitan Keuangan yang dimoderasi Kepemilikan Manajerial

The aim of this research is to provide empirical evidence regarding the influence of leverage, liquidity, operating capacity, debt to asset ratio, return on asset, and gender diversity as independent variables, as well as variables moderated by managerial ownership (leverage, liquidity, and operating capacity) on financial distress. This research uses samples from all companies in the consumer cyclicals and non-cyclicals sectors listed on the Indonesia Stock Exchange (IDX) during 2019 to 2022. The sample selection used a purposive sampling method with a total of 64 companies, resulting in 256 data. The result of this research show that leverage, liquidity, operating capacity, debt to asset ratio, and gender diversity do not have a significant impact on financial distress. However, the return on asset variable has a positive effect on financial distress. Another finding is that managerial ownership cannot moderate the relationship between leverage, liquidity, and operating capacity with financial distress.

The Role of Inflation and The Performance of Rural Banks on Indonesia’s Economic Growth

The Role of Inflation and The Performance of Rural Banks on Indonesia’s Economic Growth

Corporate in Financial Distress and Determinant Analysis of Successful Financial Turnaround

Corporate financial distresses and turnarounds has always been relevant on business literatures because we have seen more than enough corporate bankruptcies over the past decades. Financial distress is a condition of declining financial performance, earlier phase prior to companies experiencing bankruptcy or liquidation. The response to this condition ranges from a denial of the problem, to reducing the scale and scope of operations, all the way to the top change of management and dissolution of corporation. With the complexities of issues and implications associated with financial distresses and the recoveries attempted by corporations, the ability to formulate appropriate strategic responses is becoming very much important for management, researchers and practitioners. This research is focusing on the determinant analysis of multiple organizational factors which are expense retrenchment, profitability, free assets, size, assets retrenchment and leverage on successful turnaround of manufacturing companies listed in Indonesia Stock Exchange (IDX) in research period 2015 to 2019. Data used in this research are secondary ones which obtained from Indonesian Capital Market Directory (ICMD). Financial data from 2015 to 2019 are used to determine financial distresses utilizing Altman’s Z-Score model, and data from 2016 to 2018 are processed as the independent variables. This research takes 125 sample of manufacturing companies which after screening come down to 36 companies in Non-Turnaround (NT) group and 8 companies in Turnaround (T) group. The analysis models used in this study include firm-specific variables from 2016 to 2018 to test the hypotheses. At the 5% level of significance, the logistic regression test showed that the research variables of profitability, free assets and leverage considerably affected the likelihood of a successful financial turnaround, and the prediction accuracy was 87%.

Conceptual Model of the Influence of Value Chains and Livelihood Assets on the Performance of Coconut Product Processing Cooperatives in North Maluku Province, Indonesia

This study formulates a model of the influence of value chain and livelihood asset variables on the operational performance of coconut product processing cooperatives in North Maluku Province. Sample determination was conducted using a purposive sampling technique. The samples used in this study include cooperative managers and production units. The analytical method employed is structural equation model (SEM) analysis with the SmartPLS approach. The research findings indicate that the model for improving the operational performance of cooperatives through the value chain and livelihood asset approach in North Maluku Province indicates that these two variables have a significant impact on cooperatives’ operational performance. Value chain variables such as outbound logistics, service, infrastructure, and technology development are strongly correlated with cooperatives’ operational performance. Likewise, livelihood asset variables, such as natural, financial, social, and entrepreneurial capital, also have a significant impact on cooperatives’ operational performance. Higher value chains and livelihood assets have a more significant impact on cooperatives’ operational performance. This indicates that both the value chain and livelihood assets play an important role in improving cooperatives’ operational performance. Therefore, enhancing the value chain and livelihood assets can significantly improve cooperatives’ operational performance.

Blockchain and electronic transactions in accounting

Introduction. One of the most promising information and communication technologies in the digital economy is blockchain, which significantly changes the accounting and control of electronic transactions in business. Block-chain structuring of data is radically different from traditional methods of processing and storing accounting information, which determines the relevance of scientific research and practical developments in the field of using blockchain technology.The purpose of the article is to study the peculiarities of the implementation of electronic transactions in the conditions of using blockchain technology and the directions of transformation of accounting and control.Methods. Systemic, innovative, functional approaches and methods of generalization, bibliographic and comparative analysis were used in the process of realizing the established goal of scientific research.Results. The expediency of the transformation of the methodology and organization of accounting and control of electronic transactions under the influence of the use of blockchain technology is substantiated. The functional advantages of the blockchain network are defined: instant execution of electronic transactions, confidentiality of participants in electronic transactions, reliability of data storage, minimization of costs for the organization of information processing, significant variability of assets participating in electronic transactions, stability of functioning due to the impossibility of damaging or deleting databases, etc. The principles of blockchain technology, which are relevant for accounting and control of electronic transactions, have been formed: decentralization, transparency, accessibility, trust, cyber security, irreversibility, consensus, confidentiality. Eight main directions of transformation of accounting and control of electronic transactions in the blockchain network have been identified (positioning, variability, digitization, decentralization, protection and cyber security, monetary settlements, control, transformation of powers and regulations), the result of practical implementation of which is: automatic execution of accounting and control processes, prevention of accidental errors, prevention and elimination of cyber threats and fraudulent actions, minimization of enterprise costs; reduction of time for accounting and control procedures for operational management of enterprises, openness and publicity of accounting information about electronic business.Prospects. It is advisable to carry out further scientific research in the direction of: improving the legal regulation of electronic transactions; transformation of the organizational structure of the enterprise and the accounting and control unit; clarification of personnel job instructions and accounting policy of the enterprise.

PENGARUH PROFITABILITAS, TUNNELING INCENTIVE, DAN INTANGIBLE ASSETS TERHADAP TRANSFER PRICING

One of the problems faced by multinational companies occurs when determining transfer pricing, many different factors can affect the determination of transfer pricing. This study aims to determine the effect of profitability, tunneling incentives and intangible assets on transfer pricing. The population in this study are energy sector companies listed on the Indonesia Stock Exchange for the 2017-2021 period. As a research sample, 15 of 79 companies in the energy sector were taken using a purposive sampling method so that the total observations in this study were 75 observations. The data analysis technique used is multiple linear regression testing using SPSS version 25 software. The result of the analysis in this research showed that profitability and tunneling incentive has negative effect on transfer pricing whilet intangible assets positive effect on transfer pricing. In the determination coefficient test, it shows that profitability, tunneling incentive, and intangible assets variables affect transfer pricing by 34.4%, while the remaining 65.6% is explained by other variables outside of the study

Analisis Pengaruh Komisaris Independen, Kualitas Audit dan Return on Assets terhadap Return Saham Perusahaan

This study aims to investigate the impact of Independent Commissioners, Audit Quality, and Return On Assets on the Stock Returns of companies operating in the Energy, Raw Materials, and Industrial sectors listed on the Indonesia Stock Exchange for the years 2019-2020. The Independent Commissioners and Return On Assets variables are quantified in percentages, while Audit Quality is assessed based on the number of partners in public accounting firms. The dependent variable, Stock Returns, is calculated as a percentage. The research focuses on several companies across these three sectors, and a sample of 211 listed companies was chosen using purposive sampling. The study employed multiple linear regression analysis for hypothesis testing and found that Independent Commissioners, Audit Quality, and Return On Assets significantly affect Stock Returns. These results can offer valuable insights for company management and shareholders, providing mutually beneficial information. Future research could consider incorporating additional variables, such as Leverage, Return On Equity, Audit Fees, and Earnings Management.

Pengaruh Return On Asset Dan Dividend Payout Ratio Terhadap Nilai Perusahaan

This research is based on the company's value showing fluctuating conditions in Food and Beverage Sub-Sector companies from 2019 to 2021, as well as the inconsistent influence between the variables Return On Assets and Dividend Payout Ratio on company value from the results of previous research. The purpose of this study was to determine the effect of Return On Asset and Dividend Payout Ratio on Company Value in the Food and Beverage Sub-Sector Listed on the Indonesian Sharia Stock Index for the 2019-2021 period. This research uses a quantitative approach and the data analysis method used is panel data regression analysis. The samples used in this study were as many as 10 companies with a total sample for 3 years, namely 30 samples, using purposive sampling selection techniques. The results of this study show that the Return On Asset variable has a significant effect on the company's value, while the Dividend Payout Ratio variable has no effect on the company's value. This research also shows that together the variables Return On Asset and Dividend Payout Ratio have a significant influence on the value of companies in the Food and Beverage Sub-Sector listed on the Indonesian Sharia Stock Index (ISSI) for the 2019-2021 period with the value of the coefficient of determination for this model is 18.50%.

ANALISIS PENGARUH LABA BERSIH, RETURN ON EQUITY, RETURN ON ASSET TERHADAP HARGA SAHAM PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BEI PERIODE 2017-2021

This study aims to determine the analysis of the effect of net income, ROE, ROA on the stock prices of manufacturing companies in the food and beverage sub-sector listed on the Indonesia Stock Exchange (IDX) for the 2017-2021 period. This research consists of variables Net Profit Margin (X1), Return On Equity (X2), Return On Assets (X3) to Stock Price (Y). This study uses quantitative data types, while the data sources use secondary data with library research data collection techniques. The data processing technique used is data processing with SPSS version 25 software. Based on the results of the study, it was concluded that partially the variables of Net Profit Margin (X1), Return On Equity (X2), Return On Assets (X3) showed a significant effect on stock prices ( Y). The results of the joint test of Net Profit Margin (X1), Return On Equity (X2), Return On Assets (X3) variables show the effect on Stock Price (Y). The coefficient of determination of 58.9% indicates that the variables Net Profit Margin (X1), Return On Equity (X2), Return On Assets (X3) have an influence of 58.9% on stock prices and the remaining 41.1% is influenced by variables -other variables that were not examined in this study

Deep reinforcement learning assisted co-optimization of Volt-VAR grid service in distribution networks

With the increasing penetration of distributed energy resources in distribution networks, Volt-VAR control and optimization (VVC/VVO) have become very important to ensure an acceptable quality of service to all customers. System operators can rely on slow-responding utility devices, including capacitor banks and on-load tap changing transformers, along with fast-responding battery and photovoltaic (PV) inverters for the VVC/VVO implementation. Because of variations in response time of these two classes of devices, and different control actions (discrete versus continuous), coordinated and optimal scheduling and operation have become of utmost importance. This paper develops a look-ahead deep reinforcement learning (DRL)-based multi-objective VVO technique to improve the voltage profile of active distribution networks, decrease network and inverter power loss, and save the operational cost of the grid. It proposes a deep deterministic policy gradient (DDPG)-based approach to schedule the optimal reactive and/or active power set-points of fast-responding inverters, and a deep Q-network (DQN)-based DRL agent to schedule the discrete decisions variables of slow-responding assets. The reactive power output of PV and battery smart inverters are scheduled at 30-minute intervals and the capacitors’ commitment status is scheduled with several hour intervals. The proposed framework is validated on the modified IEEE 34-bus and 123-bus test cases with embedded PV and PV-plus-storage. To validate the efficacy of the proposed VVO, it is compared with several scenarios, including the base case without VVO, localized droop control of DERs, DDPG-only, and twin delayed DDPG (TD3) agent-based DRL techniques. The results justify the superior performance of the proposed method to improve the voltage profile, reduce network power loss, and minimize the look-ahead grid operational cost while minimizing the undesirable power losses in inverters as a result of power factor adjustments.

Pengaruh Perencanaan Pajak Dan Aktiva Pajak Tangguhan Terhadap Financial Performance

This study intends to carry out an analysis related to the influence of tax planning variables and deferred tax assets variables on financial performance. The targets of this research are food and beverage sub-sector manufacturing companies that have been registered on the IDX from 2019 to 2022. Then the sampling method used in this study was purposive sampling and 9 samples of companies were obtained. While researchers used three data analysis methods, namely the classical assumption test, multiple linear regression test and hypothesis testing. The results shown in this study are that the tax planning variable has no partial effect on financial performance, but deferred tax assets have a partial effect on financial performance. While simultaneously the variable tax planning and deferred tax asset variables jointly have an influence on financial performance.

Effect of capital structure and profitability on company values

This study aims to determine the effect of capital structure and profitability on firm value with the debt to The study conducted an analysis of the effect of capital structure and profitability on firm value, focusing on the debt to equity ratio (DER) and return on assets (ROA) variables. The main objective of the research was to determine the partial and simultaneous effects of these variables on firm value. The data analysis was conducted using classical assumption tests, including the normality test, multicollinearity test, autocorrelation test, and heteroscedasticity test. Additionally, the analysis involved simple linear regression, multiple linear regression, hypothesis testing (t test and F test), and coefficient of determination test. This research adopted a quantitative research method since the data collected was in numerical form and the analysis was conducted using statistical tools. The type of data used in the study was secondary data, which was sourced from the annual financial reports published on the IDX and idnfinnancials websites. The results of the analysis revealed that the DER variable (X1) did not have a significant effect on firm value (Y), and the ROA variable (X2) also had no significant impact on firm value (Y). However, when analyzed simultaneously, both the DER and ROA variables were found to have a significant effect on Firm Value. These findings suggest that it is necessary to consider both capital structure and profitability when evaluating the firm value. The results of this study can be used by investors and financial analysts to make informed decisions when investing in Indocement Tunggal Prakarsa, Inc.

Determinants Of Financial Performance To Stock Return

This study aims to examine the effect of return on assets (X1), return on equity (X2), and earnings per share (X3) on stock returns (Y) in automotive sub-sector manufacturing companies listed on the Indonesia Stock Exchange for the 2016-2021 period.The population used in this study is a manufacturing company in the automotive sub-sector. This study uses saturated sampling (Census) with a total sample of 7 companies.The data analysis technique in this study uses descriptive analysis, classical assumption analysis, multiple linear regression analysis, with hypothesis testing using -t test and F test.The results of the study show that: (1) partially the return on asset (X1) variable has a positive and significant effect on stock returns. (2) partially the return on equity variable (X2) has a negative and significant effect on stock returns. (3) partially the earning per share (X3) variable has no positive and insignificant effect on stock returns. (4) Simultaneously, the return on assets (X1), return on equity (X2) and earnings per share (X3) variables have a positive and significant effect on stock returns.

Pengaruh Sukuk, Reksadana Syariah dan Total Aset LKNB Syariah terhadap pertumbuhan ekonomi di Indonesia Tahun 2015-2021

The principal The aim of the current study is to measure the effects of sukuk, sharia mutual funds, and total lknb sharia assets on Indonesian economic growth. Three independent variables (sukuk, sharia mutual funds, and total assets of sharia financial institutions) are combined with one dependent variable in this study (economic growth). This study's population is based on information from the Financial Services Authority and the Central Statistics Agency on sukuk, sharia mutual funds and total assets of sharia financial institutions for the last seven years, namely data from 2015-2020 period. 84 data points were interpolated and a saturated sample technique was used, that is all data from 2015 to 2021. The method of analysis process used is quantitative analysis with collected sources. According to the findings of this study, partial sukuk and total assets of sharia financial institutions have a significant and positive impact on economic growth. Meantime, Sharia mutual funds have a significant negative impact on economic growth. t table has a value of 1.990. count > t table of 5,178 > 1,990 which shows that sukuk influences economic growth in Indonesia. t count > t table of 17,562 > 1,990 which shows that Islamic mutual funds influence economic growth in Indonesia. and t count > t table of 9.0819 > 2.0032 which shows that the total assets of Islamic LKNB influence economic growth in Indonesia. and f count > f table of 155.83 > 2.72. This means that sukuk, Islamic mutual funds and total assets of lknb sharia simultaneously affect economic growth in Indonesia in 2015 – 2021. The Coefficient of Determination is 0.84849, indicating that sukuk, sharia mutual funds and total assets of LKNB sharia have a very strong influence on economic growth. The proportion is 84.84%. So that, the three. control variables of corporate sukuk and total assets of lknb sharia can be economic growth factors

Pengaruh Biaya Produksi, Biaya Operasional dan Total Aktiva Terhadap Laba Bersih pada Perusahaan Garment dan Tekstil di Bursa Efek Indonesia Tahun 2018-2020

This study aims to determine the partial and simultaneous effect of production costs, operational costs and total assets on net profit of manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2018-2020. The data used in this study are secondary data in quantitative form obtained from annual financial reports published on the official website of the Indonesia Stock Exchange (www.idx.co.id). The population in this study are all textile and garment companies. The research sample was taken using purposive sampling method. From a population of 22 companies, 17 companies were obtained as samples. The data analysis method used is descriptive analysis, classical assumption test, multiple linear regression analysis and hypothesis testing. Based on the partial results of the study (t test) it shows that the variables of production costs and operational costs have a significant effect on net income because the sig value is 0.05 while total assets have no effect on net income. The results of the simultaneous study (f test) show that the variables of production costs, operational costs and total assets have a significant influence on stock returns. Calculation of the coefficient of determination (adjusted R square) shows that all independent variables, namely production costs, operational costs and total assets can explain the stock return variable of 0.27% while the remaining 99.73% is influenced by other variables not examined in this study.

Analisis Faktor-Faktor yang Memengaruhi Tingkat Non-Performing Financing (NPF) di Bank Umum Syariah Indonesia Periode 2015-2021

The development of Islamic banking in Indonesia continues to increase. The Islamic banking industry has a bright future, one of which is supported by most of the Indonesian people who are Muslims so that the market share they have is also large. To maintain its existence, of course, Islamic banking must maintain the trust given by the community to collect and distribute funds back to the community. This study aims to examine the factors that influence the level of Non-performing Financing (NPF) in Islamic Commercial Banks, because the higher the NPF of a bank indicates poor or unhealthy banking performance. This research data is secondary data obtained from the Islamic Banking Statistics (SPS) report on the page of the Financial Services Authority (OJK). The analytical method used is the Vector Error Correction Model (VECM) with the help of an analytical tool, namely E-views.10. The results of this study indicate that in the short term the only significant variable is the NPF variable itself. While in the long term the ASSET variable has a negative and significant effect, the CAR variable has a positive and significant effect on the NPF in BUS. Then, FDR and BOPO have no effect in the long term or in the short term.

What Information Variables Predict Bitcoin Returns? A Dimension-Reduction Approach

This article investigates the determinants of Bitcoin returns. The authors consider a comprehensive set of information variables under five categories: macroeconomics, blockchain technology, other assets, stress level, and investor sentiment. Their approach toward this large dataset is built upon dimension-reduction models such as Backward Elimination, least absolute shrinkage and selection operator (LASSO), principal component regression (PCR), and three-pass regression filter (3PRF). The empirical results show that blockchain technology, stress level, and investor sentiment have positive, negative, and positive predicting power on Bitcoin returns, respectively. Macroeconomic variables exhibit insignificant impacts on Bitcoin returns. Other asset variables show little predicting power until 2019, but some become a significant predictor during the COVID-19 pandemic. Overall, the authors caution against using Bitcoin as a risk-hedging device in financial portfolios. They also find that, consistent with other financial assets such as equities, Bitcoin shows increased predictability with a longer return horizon. Due to their empirical results, they also advocate the use of 3PRF; relative to other dimension-reduction methods under consideration, they observe superior performance of 3PRF in predicting both the level and the direction of future Bitcoin returns across all return horizons.

Impact of capital structure on financial performance of oil and gas firms in Nigeria

This study examines the impact of capital structure on the financial performance of Nigerian oil and gas companies. Using an ex-post facto research methodology, the short-term debt to total asset, long-term debt to total asset, total debt to total equity, and return on asset variables were investigated as proxies for capital structure and financial performance, respectively. Based on the data's availability at the time of the inquiry, the study used an easy sampling strategy to gather secondary data. These data covers the years 2011 through 2020 and were compiled from the annual financial reports of five Nigerian oil and gas companies. Descriptive statistics and panel regression analysis were used to analyze the data. The analysis' findings shows that while long-term debt to total assets has a negative significant influence on return on assets, short-term debt to total assets and total debt to total equity had positive insignificant impacts. According to the findings, managers of oil and gas companies should reduce the amount of long-term debt they have because doing so has a negative effect on their performance. They should also exercise caution when making capital structure decisions.

How Capital Adequacy Ratio, Non-Performing Loans and Good Corporate Governance Affect Company Value with Financial Performance as Intervening Variables

The increasingly open economic system between countries, known as international trade, is evidence of the rapid expansion of the current economic system. The only depository financial institution is a bank. In this study, we will discuss how Capital Adequacy Ratio, Non-Performing Loans and Good Corporate Governance Affect Firm Value with Financial Performance as an Intervening Variable. Data analysis techniques use descriptive analysis, panel data regression estimation, common effect models, fixed effect models, random effect models, Chow tests, Hausman tests, Lagrange Multiplier tests, classical assumption tests (normality tests, multicollinearity tests, heteroscedasticity tests). Hypothesis test (F test and T test). This study is a quantitative study through an analytical descriptive study, seen from the characteristics of the problems studied. The population of this study are commercial banks listed on the Indonesia Stock Exchange in 2017 and 2019. The results show the effect of the variables capital adequacy ratio, non-performing loans, good corporate governance and return on assets on company value shown to show that the prob. F (Statistic) of 0.0160 is smaller than the significance level of 0.05. This means that the capital adequacy ratio, non-performing loans, good corporate governance and intervening return on assets variables simultaneously affect firm value in banking companies.