Long-Term Implications of the Burgeoning Informal Labour Hiring in Indian Manufacturing Sector: A System Dynamics Analysis

2015 ◽  
Vol 16 (4) ◽  
pp. 347-360 ◽  
Author(s):  
Ravindra Ojha ◽  
Prem Vrat
Keyword(s):  
System Dynamics ◽  
Manufacturing Sector ◽  
Dynamics Analysis ◽  
Informal Labour ◽  
Indian Manufacturing Sector

MODELING EFFECTS OF INCENTIVES FOR INDUSTRY COMPETITIVENESS USING A SYSTEM DYNAMICS APPROACH

2012 ◽  
Vol 09 (02) ◽  
pp. 1250011
Author(s):  
MARTIN KAGGWA ◽  
JASPER L. STEYN ◽  
ANASTASSIOS POURIS
Keyword(s):  
System Dynamics ◽  
South African ◽  
Manufacturing Sector ◽  
Quantitative Information ◽  
Policy Framework ◽  
Automotive Manufacturing ◽  
Industry Competitiveness ◽  
Policy Lever ◽  
Industry Investment

Investment in state of the art machinery and tooling and in R&D is widely seen as a prerequisite for achieving industry competitiveness in the long term. Investment-based incentives that countries provide for these inputs are perceived as a way of supporting industry competitiveness. Despite this being a global phenomenon, there is no formal process to guide the offer of these incentives. The process of designing such incentives is often based on internalized judgment rather than on formal models making it difficult to assess such interventions objectively and to improve on them. Specific to South Africa, the offer of incentives to the automotive industry to support its competitiveness has had mixed results. In particular, investment in R&D has remained minimal. The paper presents a system dynamics model as a proposed instrument in formalizing the offer of incentives, applied to the South African government's offer of incentives to the automotive manufacturing sector. The model was developed from qualitative and quantitative information on how the incentives had been structured. Simulations of the model reveal that the incentives model, as a stand-alone intervention, had a significant and positive effect on industry investment, but had no specific policy lever to direct investment into R&D and subsequent innovative activities. By this measure, the incentives model has not been a strong policy framework for supporting long-term industry competitiveness.

scholarly journals SUPPLIER PERFORMANCE MEASUREMENT IN DISCRETE MANUFACTURING INDUSTRY-EMPIRICAL STUDY ON INDIAN MANUFACTURING SECTOR

2012 ◽  
Vol 14 (2) ◽  
pp. 330-347 ◽  
Author(s):  
Manoj Kumar Mohanty ◽  
Padmabati Gahan
Keyword(s):  
Performance Measurement ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
High Performing ◽  
Supplier Performance ◽  
Discrete Manufacturing ◽  
Technical Capability ◽  
Indian Manufacturing Sector ◽  
Safety And Environment

Suppliers are the value creators for the organizations and have emerged as value-adding partners in industrial relationships since last two decades. These values can be derived effectively given the buying organizations keep a long-term strategic relationship with high performing suppliers. To measure the performance organizations have to decide the performance parameters depending on the nature of business and their specific needs from the supply base. The current discrete manufacturing industries of India judging the performance of the suppliers based on technical capability, cost, delivery, quality & regulatory adherence for safety and environment. But from the larger interest of the manufacturing industry more relevant attributes are needs to be considered, which are explored from our research are responsiveness of the supplier, effectiveness of the aftersales service, delivery flexibility, documentation ability, trust & commitments. All these performance measurement attributes will drive effectiveness and efficiency of the supply chain.

Impact of Corporate Governance on the Cash Holding of the Firms: An Empirical Study of Indian Manufacturing Sector

GIS Business ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. 47-52
Author(s):  
Karam Pal Narwal ◽  
Sonia Jindal
Keyword(s):  
Corporate Governance ◽  
Audit Committee ◽  
Manufacturing Sector ◽  
Control Variable ◽  
Cash Holding ◽  
Executive Directors ◽  
Control Effect ◽  
Board Size ◽  
Indian Manufacturing Sector ◽  
The Impact

The paper empirically examines the impact of corporate governance on the cash holding of the firms. The components of corporate governance are measured by board size, board meeting, audit committee members, directors remuneration and non executive directors and the cash holding is measured with the log of average cash and size is taken as control variable for the control effect on the dependent variables. Moreover, correlation and panel regression model were employed to examine the relationship between the corporate governance and cash holding. Empirical data was collected from 96 firms over the period of 2004-05 to 2013-14. The results show that directors remuneration and the number of audit committee members positively influence the cash holding and the board size also positively influences the cash holding whereas, the non executive directors and the board meetings do not play any role in enhancing the cash holding.

Pengaruh Financial Leverage terhadap Financial Performance pada Sektor Industri Manufaktur yang Terdaftar di Bursa Efek Indonesia (BEI) Periode 2015

2018 ◽  
Vol 9 (2) ◽  
pp. 33-48
Author(s):  
Rivaldy Februansyah ◽  
Ika Yanuarti
Keyword(s):  
Financial Performance ◽  
Manufacturing Sector ◽  
Linear Regression Analysis ◽  
The Other ◽  
Debt Ratio ◽  
Financial Leverage ◽  
Coverage Ratio ◽  
Equity Ratio ◽  
Internal Fund

The manufacturing sector is one of the most dominant economic sectors in in achieving growth and development in Indonesia. It needs adequate fund to develop its business. The sources of fund are from internal and external. The firm usually optimized the usage of internal fund prior to external fund. The internal fund comes from equity while the external funds are from debt and stock. Debt is also known as financial leverage. There is a phenomenon that the usage of debt increased the firm’s financial performance, since interest on debt could lower the payment of tax (tax shield). On the other side, the higher the financial leverage the higher the risk of bankruptcy. This research aims to analyze whether financial leverage has an influence on financial performance in the manufacturing sector listed on the Indonesia Stock Exchange (IDX) period 2015. The method of analysis used in this research is multiple linear regression analysis. This research uses quantitative approach with a sample of 140 listed companies in the manufacturing industry. The firm’s financial performance could be measured by the financial ratios. Financial Leverage ratios are ratios that measure the ability of firm’s to meet its financial obligation and the level of usage debt as compared to equity. There are several financial leverage ratios that used in this research, such as Debt Ratio (DR), Debt to Equity Ratio (DER), Interest Coverage Ratio (ICR), and Long Term Debt Ratio (LTDR). Financial performance indicates the ability of firm to generate profit and measured by Profitability Ratio. Return on Asset (ROA) is one of the Profitability Ratio. The statistical result shows that Debt Ratio (DR) negatively affect Return on Asset (ROA) and Interest Coverage Ratio (ICR) positively affect Return on Asset (ROA). Meanwhile, Debt to Equity Ratio (DER) and Long Term Debt Ratio (LTDR) did not affect Return on Asset (ROA). On the other hand, result shows that Debt Ratio (DR), Debt to Equity Ratio (DER), Interest Coverage Ratio (ICR), and Long Term Debt Ratio (LTDR) affect Return on Asset (ROA) simultaneously. Keywords: Financial Leverage, Debt Ratio (DR), Debt to Equity Ratio (DER), Interest Coverage Ratio (ICR), Long Term Debt Ratio (LTDR), Financial Performance, Return on Assets (ROA)

An Application of System Dynamics Analysis to Ecosystem Management at the Poinsett Weapons Range, Shaw AFB SC

1997 ◽  
Author(s):  
M. Brennan ◽  
P. Colborn ◽  
J. Goodbody ◽  
T. Grady ◽  
S. Kearney
Keyword(s):  
System Dynamics ◽  
Ecosystem Management ◽  
Dynamics Analysis

scholarly journals System Dynamics Analysis of Man-Machine Efficacy in Plateau Mines

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 18072-18084
Author(s):  
Duiming Guo ◽  
Guoqing Li ◽  
Nailian Hu ◽  
Jie Hou
Keyword(s):  
System Dynamics ◽  
Dynamics Analysis
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