• Title/Summary/Keyword: Economic and non-economic

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Political Connections and CSR Disclosures in Indonesia

  • SARASWATI, Erwin;SAGITAPUTRI, Ananda;RAHADIAN, Yan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.1097-1104
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    • 2020
  • This research seeks to provide evidence about how political connections, proxied by government ownership and the existence of politically connected board members, affect the extent of corporate social responsibility (CSR) disclosures in Indonesian listed companies. This research uses the legitimacy theory as a basis for explaining management's motivation for disclosing its CSR. The sample consists of 131 firm-year observations from 38 non-financial public companies that published sustainability reports from 2013 to 2017. We measured the CSR disclosures using a disclosure checklist on the sustainability reports. We subsequently processed the data using a random effect (RE) linear regression. The result shows that CSR disclosures were greater in government-owned companies but lower in companies that have politically connected board members. The results support the legitimacy theory that the government intends to demonstrate legitimate national economic and political conditions by showing that government-owned companies are sustainable. However, CSR disclosures seem to have a substitutive relationship with the existence of politically connected board members, since those political connections may protect the company from public pressure and/or the risk of litigation, reducing the need for CSR disclosures. This research provides evidence that different types of political connections may have different impacts on corporate disclosures.

Preliminary Results-Nature as Metaphor : Innovative Visualization of Accounting Information with Lotus Plants

  • Raungpaka, Voraphan;Savetpanuvong, Phannaphatr;Tanlamai, Uthai
    • Journal of Information Technology Applications and Management
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    • v.20 no.2
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    • pp.1-14
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    • 2013
  • Learning accounting has always been a challenge for non-accounting students and managers. Understanding accounting information requires more than a numerical description of financial and income statements. Current accounting practice presents accounting reports in the form of tables with values or in two or three dimensional graphs generated by a spread sheet program. The present study proposes an alternative visualization with metaphor from nature as a learning device for novice users and managers. After surveying various kinds of plants, the lotus flower was chosen as an attractive analogy because every part of the plant from leaves to roots is usable and can have economic value. Moreover, lotus flowers, whether man-made or natural, can easily be part of a familiar, natural ecology representing both beauty and serenity. Results from online survey respondents (n = 220) showed that there was no significant difference on overall usability of the Lotus visualization between expert users and novice users. However, verbally-oriented users differed Significantly from visually-oriented users in their usability assessment, perceived usefulness, and intention to use the Lotus visualization.

Magnetic Flux Leakage (MFL) based Defect Characterization of Steam Generator Tubes using Artificial Neural Networks

  • Daniel, Jackson;Abudhahir, A.;Paulin, J. Janet
    • Journal of Magnetics
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    • v.22 no.1
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    • pp.34-42
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    • 2017
  • Material defects in the Steam Generator Tubes (SGT) of sodium cooled fast breeder reactor (PFBR) can lead to leakage of water into sodium. The water and sodium reaction will lead to major accidents. Therefore, the examination of steam generator tubes for the early detection of defects is an important requirement for safety and economic considerations. In this work, the Magnetic Flux Leakage (MFL) based Non Destructive Testing (NDT) technique is used to perform the defect detection process. The rectangular notch defects on the outer surface of steam generator tubes are modeled using COMSOL multiphysics 4.3a software. The obtained MFL images are de-noised to improve the integrity of flaw related information. Grey Level Co-occurrence Matrix (GLCM) features are extracted from MFL images and taken as input parameter to train the neural network. A comparative study on characterization have been carried out using feed-forward back propagation (FFBP) and cascade-forward back propagation (CFBP) algorithms. The results of both algorithms are evaluated with Mean Square Error (MSE) as a prediction performance measure. The average percentage error for length, depth and width are also computed. The result shows that the feed-forward back propagation network model performs better in characterizing the defects.

State-Owned Enterprises and Debt Sustainability Analysis: The Case of the People's Republic of China

  • Ferrarini, Benno;Hinojales, Marthe
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.1
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    • pp.91-105
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    • 2019
  • The paper aims to combine balance sheet analysis at the firm level with the International Monetary Fund's public debt sustainability assessment framework to assess state-owned enterprises' (SOE) leverage as a contingent liability to the public sector. Based on company data and the interest coverage ratio as a measure of debt at risk, aggregate baseline scenarios are projected to gauge the magnitude of SOE debt as a contingency. SOE's financial and debt ratios are first bootstrapped to generate firm-level distributions and then averaged into a fan chart of the economy-wide SOE contingent liability. Applied to the People's Republic of China as an example, the study finds that by the end of 2015 SOE leverage had grown to a substantial liability. However arbitrary the assumptions underlying these projections, it would appear that even if authorities had to mop up as much as 20% of SOE debt at risk gone bad, this would have been manageable at roughly 2.7% of the gross domestic product in 2016 or 5.5% by 2021. This projection framework is fully amenable to alternative assumptions and settings, which makes it a useful analytical tool to monitor contingent liabilities from non-financial corporate debt that have been building in emerging and advanced economies alike.

A Study on the Uniform Distribution of Steam Flow in the Superheater Tube System (과열기 관군에서의 증기유량 균일 배분 연구)

  • Park, Ho-Young;Kim, Sung-Chul
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.20 no.6
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    • pp.416-426
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    • 2008
  • The boiler tube failure often experienced in the superheater of a utility boiler can seriously affect the economic and safe operation of the power plant. It has been known that this failure is mainly caused by the thermal load deviation in the superheater tube system, and deeply intensified by the non-uniform distribution of steam flow rates. The nonuniform steam flow is distinctively prominent at low power load rather than at full power load. In this paper, we analyze the steam flow distribution in the superheater tube system by using one dimensional flow network model. At 30% power load, the deviation of steam flow rate is predicted to be within 0.8% of the averaged flow rate. This deviation can be reduced to 0.1% and 0.07% by assuming two cases, that is, the removal of 13th tube at each tube rows and the installation of intermediate header, respectively. The assumed two cases would be effective for the uniform steam flow distribution across 85 superheater tube rows.

The Relationship between Corporate Social Responsibility and Corporate Financial Performance: An Empirical Study of Commercial Banks in Vietnam

  • BUI, Hang Thi Thu
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.373-383
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    • 2021
  • This article aims to examine the one-way relationship between corporate social responsibility (CSR) and the financial performance of Vietnamese commercial banks, mainly focusing on the moderating role of ownership structure. Net interest margin (NIM), return on assets (ROA), and return on equity (ROE) are selected to represent the financial performance of the bank. CSR was measured using a multi-method approach that included both quantitative and qualitative methods. Corporate Social Responsibility Expenditure (CSRE) was estimated using financial data. The Corporate Social Responsibility Disclosure (CSRD) index was created using the content analysis method. Using a sample of Vietnamese commercial banks from 2012 to 2019 to perform regressions in the dynamic panel models with the two-step system generalized method of moments (GMM) estimator, the results show a positive effect of both CSRE and CSRD on the financial performance of the bank. Empirical evidence shows that the positive relationship between CSRE and financial performance is more robust in statecontrolled banks than non-state-controlled banks. In contrast, the positive impact of CSRD on the financial performance of state-owned commercial banks is weaker than that of private banks. Finally, the paper points out the limitations and proposes future research directions.

The Impact of Access to Cooperatives on Households' Income: An Empirical Study in Vietnam

  • VUONG, Quoc Duy;TRAN, Viet Thanh Truc;DANG, Quang Vang;MAI, Van Nam
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.51-61
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    • 2021
  • If one is looking for an organization that will be responsive to community needs, stimulate economic growth, and raise people's income, cooperatives should be an obvious choice (Calkins & Ngo, 2005; Larocque et al., 2002). This paper investigates whether the households' income is affected by the access to cooperatives for the case of Phong Dien district, Can Tho city of Vietnam. Data used are directly collected from 250 households that are both participating (120 observations) and not participating in the cooperatives in Truong Long, Tan Thoi, Nhon Ai and Nhon Nghia communes. By using the Probit model, the findings show that there are three statistically significant factors affecting the ability of farm households to participate in the cooperatives at the 1 percent level including land area, distance to market center, and education level. In addition, the PSM model analysis suggests that the average income of cooperative members is significantly higher than that of non-members, about 40.880 million VND/year at the significance level of 1 percent. The empirical results imply that being a cooperative member is a significant contributory factor toward an increase in household income. Based on the research findings, several recommendations to improve the households' income are proposed.

Real Exchange Rate Misalignment in Pakistan: An Application of Regime Switching Model

  • FIAZ, Asma;KHURSHID, Nabila;SATTI, Ahsan;MALIK, Muhammad Shuaib;MALIK, Wasim shahid
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.63-73
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    • 2021
  • This study investigates the key determinants of exchange rate (RER) misalignment for the period 1991 to 2020. The BEER technique has been used to estimate the degree of the equilibrium exchange rate. To explore the actual exchange rate misalignment and to assess the behavior of variables that are different in different regimes of undervaluation and overvaluation, the nonlinear technique of Markov regime-switching (MSM) was applied. The mean and variance of each regime are highly significant and show that undervaluation episodes have a low mean (116.139) and more volatility (1.229) while overvaluation episodes have a high mean (126.732) with less volatility (0.871). The findings show that MSM accurately identifies exchange rate misalignment in both regimes as separate incidents of overvaluation and undervaluation. Results further depict that misalignment of the RER is affected by terms of trade, net foreign assets, interest differential, government investment, and consumption decision. Results recommend that if policymakers want to use the exchange rate as a policy tool, they must first consider the drivers of the equilibrium exchange rate. As a result, any deliberate actions to address exchange rate misalignment must focus on the underlying fundamentals that drive the exchange rate.

Islamic Bank Efficiency in Indonesia: Stochastic Frontier Analysis

  • OCTRINA, Fajra;MARIAM, Alia Gantina Siti
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.751-758
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    • 2021
  • This research is conducted to measure the efficiency level of Islamic banking in Indonesia and also to analyze the factors that can affect its efficiency level. This research used a purposive sampling technique to determine the sample size that will be used, with criteria that the bank has been operating since 2010 and consistently published its financial reports during the research period from 2011 until 2019; therefore, the total sample obtained was 11 samples. Analysis for efficiency level is done by using linear programming Stochastic Frontier Analysis (SFA), with test tool in the form of Frontier 4.1 and Eviews9 to find out what factors that affect efficiency. Efficiency test is done by involving input and output, while influence test used bank-specific variables comprising bank size, bank financial ratio, and macro-economy variable. Research result shows that there are only two banks that are almost close to being fully efficient firms, but the result still does not indicate that Islamic bank works efficiently. Results of the influence test show that factors affecting Islamic banking efficiency in Indonesia are bank size, Capital Adequacy Ratio (CAR), Non-Performing Finance (NPF), and Financing to Deposit Ratio (FDR), while other factors are not influential over the study period.

The Growth Effects of R&D Policy: A Theoretical Approach Focusing on Public R&D and Business R&D Subsidy (연구개발정책의 경제성장효과: 공공연구개발과 기업연구개발보조 중심의 이론적 접근)

  • Sang Choon Kim;Chuhwan Park
    • Journal of Information Technology Applications and Management
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    • v.29 no.6
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    • pp.23-42
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    • 2022
  • This paper introduces two R&D policy instruments of public R&D and business R&D subsidy into the growth model of endogenous innovation simultaneously, and studies how they respectively affect economic growth, as well as how they interact with each other for the growth effects. Main results are as follow. The growth effects of each instrument are non-monotonous but various depending on the structure of economy. For example, the growth effects of public R&D become positive in the economy of more innovation-friendly structure such as larger marker size, more monopolistic market structure and more patient consumer, but the growth effects of business R&D subsidy become positive in the economy of less innovation-friendly structure such as smaller market size, more competitive market structure and more inpatient consumer. Meanwhile business R&D subsidy does not affect the growth effects of public R&D, but public R&D affects the growth effects of business R&D subsidy. Particularly, in the economy of less innovation-friendly structure public R&D becomes complimentary to business R&D subsidy.