scholarly journals Role of Reputation in Sustainable Performance of Online Crowdsourcing Vendors: An Explanation From Transaction Cost Theory

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiao Han ◽  
Mengxiao Xue ◽  
Wenhui Song
Keyword(s):  
Transaction Cost ◽  
Large Scale ◽  
Participation Rate ◽  
Policy Implications ◽  
Transaction Cost Theory ◽  
Sustainable Performance ◽  
Panel Data Regression ◽  
Data Regression ◽  
New Finding ◽  
The Impact

This study reveals a new finding on the impact of reputation growth on crowdsourcing vendors’ sustainable performance in different modes of markets using fixed-effect panel data regression models. To this end, we extract data from a large Chinese crowdsourcing platform named zbj.com for the period of 2012–2014, which was a key stage for the establishment of market diversification. Based on different transaction modes, the study divides the markets on the crowdsourcing platform into task-based market (TBM) and employment market (EPM). By applying the multiple framework, the empirical results exhibit a negative and significant effect of vendors’ reputation on participation rate (PR) in TBM and EPM. At the same time, reputation also has a consistent effect on vendors’ revenue share (RS) of each market. Moreover, this study shows that the significant reputation impact on PR and RS of EPM will be, respectively, weakened and strengthened in fixed-price mode and customized mode when vendors participate more in large-scale projects. The findings suggest that the growth of reputation will promote market transfer of vendors, that is, showing different sustainability in different markets, which will lead to uneven development of the crowdsourcing markets. By adopting the perspective of transaction cost theory (TCT), this study elaborates and analyses these phenomena and derives corresponding policy implications.

Capital Structure and Earnings per Share: An Empirical Analysis of Indian Corporate Sector

2015 ◽  
Vol 5 (3) ◽  
Author(s):  
Harvinder Singh Mand ◽  
Manjit Singh
Keyword(s):  
Capital Structure ◽  
Empirical Analysis ◽  
Corporate Sector ◽  
Independent Variables ◽  
Earnings Per Share ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

This paper intends to measure the impact of capital structure on EPS (earnings per share) in Indian corporate sector. Fifteen control variables along with capital structure have been selected to know their impact on EPS. Panel data regression has been applied to establish the relationship among dependent and independent variables. It is found from the empirical analysis that the relation of capital structure with EPS has been statistically insignificant in Indian corporate sector among all specific industries except telecommunication industry. The results are consistent with Modigliani-Miller approach.

A Study of Multilayered Profitability Analysis by Using DuPont Model: Evidence from Indian Pharmaceutical Industry

2021 ◽  
pp. 097215092199305
Author(s):  
Pinku Paul
Keyword(s):  
Panel Data ◽  
Pharmaceutical Industry ◽  
Profit Margin ◽  
Pharmaceutical Firms ◽  
Sustainable Performance ◽  
Profitability Analysis ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

Profitability is used as a prime indicator to measure the sustainable performance of an organization. The current study made an attempt to apply the DuPont model to investigate the multilevel profitability determinants for the pharmaceutical industry of India. The study also estimates an empirical model to predict the association of profitability with factors such as profit margin, asset utilization, leverage, interest load and tax load of firms in the pharmaceutical industry of India. For this purpose, a dataset for 170 companies from 2010–2011 to 2018–2019 was analysed initially by using panel data regression followed by stepwise panel data regression. The study successfully applied and tested the DuPont model with respect to the firms of the pharmaceutical industry in India. It was found that the factors such as profit margin, asset utilization and leverage had a significant positive effect on the firms’ profitability and the factor interest load had a significant negative effect on the firms’ profitability. The tax load does not have an impact on the profitability of the pharmaceutical firms in India. These findings are expected to provide a guide for understanding the profitability of the firms in a better way.

scholarly journals Impact of the municipal merger on watershed management: a study of Lake Kasumigaura, Japan

2021 ◽  
Author(s):  
Takeshi Mizunoya ◽  
Noriko Nozaki ◽  
Rajeev Kumar Singh
Keyword(s):  
Watershed Management ◽  
Large Scale ◽  
Environmental Changes ◽  
Water Environment ◽  
Reduction Rate ◽  
Oxygen Demand ◽  
Policy Implications ◽  
Pollution Reduction ◽  
Lake Kasumigaura ◽  
The Impact

AbstractIn the early 2000s, Japan instituted the Great Heisei Consolidation, a national strategy to promote large-scale municipal mergers. This study analyzes the impact that this strategy could have on watershed management. We select the Lake Kasumigaura Basin, the second largest lake in Japan, for the case study and construct a dynamic expanded input–output model to simulate the ecological system around the Lake, the socio-environmental changes over the period, and their mutual dependency for the period 2012–2020. In the model, we regulate and control the following water pollutants: total nitrogen, total phosphorus, and chemical oxygen demand. The results show that a trade-off between economic activity and the environment can be avoided within a specific range of pollution reduction, given that the prefectural government implements optimal water environment policies, assuming that other factors constraining economic growth exist. Additionally, municipal mergers are found to significantly reduce the budget required to improve the water environment, but merger budget efficiency varies nonlinearly with the reduction rate. Furthermore, despite the increase in financial efficiency from the merger, the efficiency of installing domestic wastewater treatment systems decreases drastically beyond a certain pollution reduction level and eventually reaches a limit. Further reductions require direct regulatory instruments in addition to economic policies, along with limiting the output of each industry. Most studies on municipal mergers apply a political, administrative, or financial perspective; few evaluate the quantitative impact of municipal mergers on the environment and environmental policy implications. This study addresses these gaps.

Board Characteristics and Firm Performance: Indian Textiles Sector Panorama

2021 ◽  
pp. 0258042X2110261
Author(s):  
Mukesh Nepal ◽  
Rajat Deb
Keyword(s):  
Firm Performance ◽  
Positive Association ◽  
Policy Implications ◽  
Board Independence ◽  
Board Size ◽  
Significant Positive Association ◽  
Jel Codes ◽  
Financial Measures ◽  
Panel Data Regression ◽  
Data Regression

The study has attempted to examine whether the board size and board independence have any impact on the financial performances of the Indian textile firms. Accessing the data of the 40 sample firms representing the top 100 BSE-listed textile firms during the timeline 2015–2019 and applying the panel data regression model, it has assessed the impacts. Accounting- and market-based financial measures have been proxied, and a significant positive association between the board size and firm performance has been established. Interestingly, a significant inverse relationship between the board independence and financial performance has also been indicated. It has concurred policy implications as the inclusion of more number of board members would likely to increase the firm performance. Moreover, for improving the sound decision-making, firms may chalk out a policy with capping on the engagement of independent directors in other firms. It has acknowledged a few limitations and has sketched a roadmap for posterior studies as well. JEL Codes: G28, G30, M40

scholarly journals Impacts of Monetary Policy on Commercial Banks’ Profits: The Case of Vietnam

2017 ◽  
Vol 13 (8) ◽  
pp. 32
Author(s):  
Thanh Nhan Nguyen ◽  
Ngoc Huong Vu ◽  
Ha Thu Le
Keyword(s):  
Monetary Policy ◽  
Commercial Banks ◽  
Positive Impact ◽  
Monetary Policies ◽  
Significance Level ◽  
Doing Business ◽  
Panel Data Regression ◽  
Banking Market ◽  
Data Regression ◽  
The Impact

This paper mainly concentrates on examining the impact of monetary policy on commercial banks’ profit in Vietnam by using panel data regression. In our study, the data is collected from 20 commercial banks which were doing business in Vietnam’s banking market, ranging from 2007 to 2014 in annually frequency. Monetary base (MB), discount rate (DIS) and required reserve ratio (RRR) are used as proxies for monetary policy. Profit before tax (PROFIT) is used to represent commercial banks’ performance. The results show that there is a positive relationship between banks’ profits and monetary policies. Among those chosen variables representing SBV’s monetary policy, only MB has a significant positive impact on bank’s profit at the significance level of 10%. On this premise, the study recommends that MB should be one of the variables in the center of being concerned in the SBV’s policies regarding the banking performance and stability.

scholarly journals Pengaruh Capital Intensity, Liquidity dan Sales Growth Terhadap Agresivitas Pajak

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Fanny Nisadiyanti ◽  
Willy Sri Yuliandhari
Keyword(s):  
Coal Mining ◽  
Sample Selection ◽  
Capital Intensity ◽  
Sales Growth ◽  
Tax Aggressiveness ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
Research Period ◽  
Positive Effect

The purpose of this study s to find out the impact of capital intensity, liquidity and sales growth on tax aggressiveness. This study uses a population in the coal mining sub-industry corporate listed on the IDX from 2016 to 2019 period. The sample selection technique used is purposive sampling, 14 coal mining sub-industry corporate were selected and the research period was 4 years. Therefore, as many as 56 samples were obtained in this study. The data analysis method used is panel data regression analysis using EViews 11 software. The results show that capital intensity, liquidity and sales growth affect tax aggressiveness simultaneously. Partially, liquidity has a positive effect on tax aggressiveness, while capital intensity and sales growth do not affect tax aggressiveness.

scholarly journals The Impact of The Sustainability Report on The Performance of Maqashid Sharia Islamic Commercial Banks in Indonesia

2020 ◽  
Vol 3 (3) ◽  
pp. 96-103
Author(s):  
Arini Arini ◽  
Satia Nur Maharani ◽  
Dodik Juliardi
Keyword(s):  
Commercial Banks ◽  
Islamic Banks ◽  
Standard Score ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Perspective Model ◽  
The Impact ◽  
Education Justice ◽  
Sustainability Report

This study examines the effect of sustainability reports on the performance of maqashid sharia in Islamic banks. The sample of this research is Islamic commercial banks in Indonesia for the period 2014-2018. The sustainability report is measured by the standard score of the GRI 4 sustainability report and the performance of Islamic banks is measured using maqashid sharia with 3 perspectives, namely education, justice and welfare. The method used is panel data regression with 3 research models. The results of the analysis of model 1 show that the sustainability report has a significant negative effect on the performance of maqashid sharia from an education perspective. In model 2, the results show that the sustainability report does not have a significant effect on the performance of maqashid syariah justice perspective. Model 3 shows the results that the sustainability report does not have a significant effect on the performance of maqashid syariah from the welfare perspective.

scholarly journals Dampak Faktor Eksternal dan Faktor Internal terhadap Perkembangan Bank Umum Syariah di Indonesia

2020 ◽  
Vol 1 (1) ◽  
pp. 97-108
Author(s):  
Luthfiah Nurazlina ◽  
Hasbi Assidiki Mauluddi
Keyword(s):  
Negative Impact ◽  
External Factors ◽  
Islamic Banks ◽  
Internal Factors ◽  
Simultaneous Test ◽  
Panel Data Regression ◽  
Data Regression ◽  
Simultaneous Testing ◽  
Significant Negative Impact ◽  
The Impact

The goal of this study was to determine the impact to which external factors such as GDP growth, inflation and BI interest rate and internal factors such as CAR, FDR and NPF have had an influence on the development of Islamic Banks in Indonesia that represented by the growth of total assets Islamic banks in Indonesia from 2015-2019. This research used a quantitative approach and the data would be analyzed using multiple regression test through panel data regression with partial test and simultaneous test provided by Eviews 10. Considering the results of the simultaneous testing, the study suggests that all variables had an impact on the development of the Islamic Bank. As for the partial test, from the external factors only the BI rate which gives a significant negative impact on the development of Islamic banks and from internal factors there are NPF and FDR which give significant negative impact. It was concluded that GDP, Inflation, and CAR did not affect the development of Islamic Banks in Indonesia.

Manufacturer’s Entry in the Product-Sharing Market

2021 ◽  
Author(s):  
Lin Tian ◽  
Baojun Jiang ◽  
Yifan Xu
Keyword(s):  
Transaction Cost ◽  
Mobile Communications ◽  
Marginal Cost ◽  
Large Scale ◽  
Economic Benefits ◽  
Problem Definition ◽  
Environmental Benefits ◽  
Economic Implications ◽  
Cost Of Production ◽  
The Impact

Problem definition: Mobile communications technologies and online platforms have enabled large-scale consumer-to-consumer (C2C) sharing of their underutilized products. This paper studies a manufacturer’s optimal entry strategy in the product-sharing market and the economic implications of its entry. Academic/practical relevance: Sharing of products or services among consumers has experienced dramatic growth in recent years. The impact of C2C sharing on traditional firms can be very significant. In response to C2C product sharing, many manufacturers (e.g., General Motors and BMW) have entered the product-sharing market to provide business-to-consumer (B2C) rental services in addition to outright sales to consumers. Methodology: We employ a game-theoretic analytical model for our analysis. Results: Our analysis shows that when C2C sharing has a low transaction cost and the manufacturer’s marginal cost of production is not very high, the manufacturer will find it not optimal to offer its own rental services to consumers. In contrast, when the C2C sharing transaction cost is high or the manufacturer’s marginal cost of production is high, the manufacturer should offer enough units of the products for rental to squeeze out C2C sharing (in expectation). When the C2C-sharing transaction cost and the manufacturer’s marginal cost are both in the middle ranges, the manufacturer’s rental services and the C2C sharing will coexist, in which case the manufacturer’s entry in the sharing market may reduce the total number of units of the product in the whole market, but increase the consumer surplus and the social welfare. This reduced number of products due to the manufacturer’s B2C rental service also suggests less environmental impact from production. Managerial implications: The production cost and the C2C sharing transaction cost play critical roles in determining the manufacturer’s optimal quantity to use for its B2C rental services and the equilibrium outcome. In some situations, the manufacturer’s entry in the sharing market provides not only economic benefits to the firm and consumers, but also environmental benefits to the society as a whole.

Influence of Intellectual Capital on Performance

2021 ◽  
Vol 12 (2) ◽  
pp. 53-71
Author(s):  
Kanishka Gupta ◽  
T. V. Raman
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Value Added ◽  
Dynamic Panel Data ◽  
Return On Assets ◽  
Time Period ◽  
Panel Data Regression ◽  
Data Regression ◽  
Developed World ◽  
The Impact

Intellectual capital (IC) has gained recognition in enhancing the firms' value and gain a competitive advantage in the developed world. The present study examines the impact of IC on firms' financial performance. The study takes 48 companies for the time period of 10 years (2009-2018). The paper has used modified Pulic's value added intellectual coefficient (VAIC) as a proxy to measure IC and return on assets (ROA) to measure firms' financial performance. Granger causality between all the components of IC and ROA has been tested using Dumitrescu-Hurlin test. To analyse the impact, correlation and dynamic panel data regression technique has been applied. The result indicates that overall intellectual capital, human capital, relational capital, process capital, and financial capital have a significant impact on financial performance. On the other hand, innovation capital has no significant relationship with firms' financial performance. The results are helpful for managers, policymakers, government, and investors so that they can properly manage and regulate the IC of their organization.

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