Do Quality and Environmental- Related Standards Improve French Firms’ Business Performance? Gilles Grolleau Naoufel Mzoughi Sanja PEKOVIC COINVEST Conference.

Slides:



Advertisements
Similar presentations
Mexican Export and Import Unit Value Indices. Introduction Export and import price indices are useful for the analysis of foreign trade statistics. Besides.
Advertisements

Impact analysis and counterfactuals in practise: the case of Structural Funds support for enterprise Gerhard Untiedt GEFRA-Münster,Germany Conference:
Taking Firms and Markets Seriously: A Study on Bank Behavior, Market Discipline, and Regulatory Policy Thomas Bernauer and Vally Koubi.
Chapter 11: The t Test for Two Related Samples
CEO hedging opportunities and the weighting of performance measures in compensation Shengmin Hung Hunghua Pan* Taychang Wang 12/06/
George F. Avlonitis and Kostis A. Indounas Presented by Haseok Lim.
COURSE: JUST 3900 INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Instructor: Dr. John J. Kerbs, Associate Professor Joint Ph.D. in Social Work and Sociology.
SME’s main bank choice and organizational structure: Evidence from France Hiba EL HAJJ CHEHADE and Ludovic VIGNERON GERME – ESA UNIVERSITY OF LILLE 2 France.
BUSINESS AND FINANCIAL LITERACY FOR YOUNG ENTREPRENEURS: EVIDENCE FROM BOSNIA-HERZEGOVINA Miriam Bruhn and Bilal Zia (World Bank, DECFP)
Determinants of Sovereign Risk Premiums for European Emerging Markets (From Saints to Sinners) Tomislav Ridzak & Mirna Dumicic Financial Stability Department.
STCPM title A model of bank price and nonprice competition with endogenous expected loan losses Filipa Lima Paulo Soares de Pinho Emerging Scholars in.
SMEs’ Finance and Participation in Global Markets Koji ITO Centre for Entrepreneurship, SMEs and Local Development (CFE) Organisation for Economic.
1 Why Demand Uncertainty Curbs Investment: Evidence from a Panel of Italian Manufacturing Firms Maria Elena Bontempi (University of Ferrara) Roberto Golinelli.
PSY 307 – Statistics for the Behavioral Sciences
Towards Socially Sustainable Local Government: A case of Swedish Municipalities Jun YAMASHITA Faculty of Social and Cultural Studies, Kyushu University,
Estimating Multiple- Discrete Choice Models: An Application to Computerization Returns Presentation by Le Chen, Zhen Huo, Bernabe Lopez-Martin, Shihui.
Cost Implications of Architectural Design Variables Ahmed S. Al Zahrani December 2005 King Fahd University of Petroleum & Minerals Department of Construction.
PY 427 Statistics 1Fall 2006 Kin Ching Kong, Ph.D Lecture 6 Chicago School of Professional Psychology.
Chapter 9: Introduction to the t statistic
A case study of Quality Standards implementation in TASNEE Company ISO 9001: 2000, ISO 14001:2004 & OHSAS By Abdulgader Alharthi.
An investigation of factors moderating the relationship between job satisfaction and turnover intention among bank’s staff in Thailand By Warayu Thienpramuk.
INNOVATION AND ECONOMIC PERFORMANCE: AN ANALYSIS AT THE FIRM LEVEL IN LUXEMBOURG Vincent Dautel CEPS/INSTEAD Seminar “Firm Level innovation and the CIS.
ECONOMIC HYPOTHESIS ILLUSTRATION ABOUT SOFTWARE QUALITY INFLUENCE ON BUSINESS PERFORMANCE Karthik Ramachandran.
14/04/11 Relaxing Credit Constraints: The Impact of Public Loans on the Performance of Brazilian Firms IDEAS International Assembly 2011 * Corresponding.
Lecture 19 Research Methods Developing Theoretical Frame work By Aziza Munir.
Matthew G. Interis, Mississippi State University Timothy C. Haab, The Ohio State University Willingness to Pay for Environmental Improvements in the Presence.
The relationship between trust, HRM practices and firm performance Dr. Shay S. Tzafrir University of Haifa, Israel.
NETWORK NEUTRALITY AND DIFFERENCE IN EFFICIENCY AMONG INTERNET APPLICATION SERVICE PROVIDERS : A META-FRONTIER ANALYSIS DAEHO LEE, JUNSECK HWANG 電管碩一 R
A Comparative Study of Search Result Diversification Methods Wei Zheng and Hui Fang University of Delaware, Newark DE 19716, USA
Human Resource Strategic Orientation and Performance of Large Private Manufacturing Firms in Kenya: A Moderating Effect of Business Strategy *Dr. J.R.Busienei.
Lecture 8: Generalized Linear Models for Longitudinal Data.
Why are White Nursing Home Residents Twice as Likely as African Americans to Have an Advance Directive? Understanding Ethnic Differences in Advance Care.
Chapter 10. Sampling Strategy for Building Decision Trees from Very Large Databases Comprising Many Continuous Attributes Jean-Hugues Chauchat and Ricco.
The Promise of Different Types of Environmental Management Systems (EMSs) for Voluntary Governance Paper Prepared for presentation at Environmental Policy:
Product Characteristics, Competition and Dividends by Hoberg, Phillips, and Prabhala University of Maryland Discussion by Gustavo Grullon Rice University.
Do incentive payments encourage innovation? A meta-analysis study Presented by: Zahra Lotfi Friedrich Schiller University MAER-NET
© Cumming & Johan (2013) Fund Size Cumming and Johan (2013 Chapter 18) 1.
Obesity, Medication Use and Expenditures among Nonelderly Adults with Asthma Eric M. Sarpong AHRQ Conference September 10, 2012.
1 Nonparametric Statistical Techniques Chapter 17.
1 Regulation Fair Disclosure and the Cost of Equity Capital Zhihong Chen City University of Hong Kong Dan S. Dhaliwal University of Arizona Hong Xie University.
How to Read Scientific Journal Articles
Fall 2002Biostat Statistical Inference - Proportions One sample Confidence intervals Hypothesis tests Two Sample Confidence intervals Hypothesis.
Reading Report: A unified approach for assessing agreement for continuous and categorical data Yingdong Feng.
1 Cleaner or Smarter? Strategic Compliance with Federal Drinking Water Regulations Katrina Jessoe, Lori Bennear and Sheila Olmstead Camp Resources August.
Empirical Evidence of Risk Shifting Behavior in Large and Small Distressed Firms Chuang-Chang Chang Yu-Jen Hsiao Yu-Chih Lin Wei-Cheng Chen.
Methodology: IV to control for endogeneity of the measures of innovation. Results (only for regions with extreme values) Table 2. Effects from the 2SLS.
Chapter 8: Introduction to Hypothesis Testing. Hypothesis Testing A hypothesis test is a statistical method that uses sample data to evaluate a hypothesis.
Chapter 9: Introduction to the t statistic. The t Statistic The t statistic allows researchers to use sample data to test hypotheses about an unknown.
FOREIGN DIRECT INVESTMENT AND PRODUCTIVITY SPILLOVERS: Firm Level Evidence from Chilean industrial sector. Leopoldo LabordaDaniel Sotelsek University of.
Do European Social Fund labour market interventions work? Counterfactual evidence from the Czech Republic. Vladimir Kváča, Czech Ministry of Labour and.
Chapter 11: The t Test for Two Related Samples. Repeated-Measures Designs The related-samples hypothesis test allows researchers to evaluate the mean.
Assessing the Impact of Informality on Wages in Tanzania: Is There a Penalty for Women? Pablo Suárez Robles (University Paris-Est Créteil) 1.
1 Nonparametric Statistical Techniques Chapter 18.
1 1 Macroeconomic fluctuations and corporate financial fragility C. Bruneau (1), O. de Bandt (2) & W. El Amri (3) (1) ECONOMIX, University of Paris X (1,2,3)
1 A Study of Sexual Behavior among the Adolescent by Gender By Shu- Hsi Ho Min- Hsiung Chang Department of International Business Ling Tung University,
Presenter Saba Mateen-Iqra University
Linking IT to Business Metrics
Introduction to Hypothesis Test – Part 2
Stats/Methods II JEOPARDY.
Central Limit Theorem, z-tests, & t-tests
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Test Review: Ch. 7-9
BMC Health Service Research 2015 By Gang Nathan Dong PERFORMING WELL IN FINANCIAL MANAGMGMENG AND QUALITY OF CARE.
Qian Wang, T.J. Wong, Lijun Xia Presented by Carl Chen
Introduction to Hypothesis Testing
WANG LITAN Associate Professor
SERVICE QUALITY & OPERATIONAL PERFORMANCE OF TOUR OPERATORS IN KENYA
SERVICE QUALITY & OPERATIONAL PERFORMANCE OF TOUR OPERATORS IN KENYA
1 Chapter 8: Introduction to Hypothesis Testing. 2 Hypothesis Testing The general goal of a hypothesis test is to rule out chance (sampling error) as.
Table 1. Summary statistics of control variables for subsamples
DETECTING AGGRESSIVE TAX PLANNING
Presentation transcript:

Do Quality and Environmental- Related Standards Improve French Firms’ Business Performance? Gilles Grolleau Naoufel Mzoughi Sanja PEKOVIC COINVEST Conference Lisbon, 18th and 19th March

Outline 1- Introduction 2- Data and model specification 3- Results 4- Conclusion

1- Introduction  A quality standard (QS) is an organizational process involving changes in the fundamental behavior and applied routine of employees that ensures that the quality of goods and services provided by an organization meets customers’ demands and regulatory requirements.  An environmental-related standard (ES) requires that an organization implements a set of environmental practices and procedures which ensures that risks, liabilities and impacts are properly identified, minimized and managed (Darnall et al., 2000).

 QS are likely to increase firms’ competitiveness by lowering defect rates, reducing cost of quality, and increasing productivity, on-time delivery and customer satisfaction.  Similarly, organizations implementing an ES are likely to gain competitive advantage. An ES may help a firm to detect and eliminate inefficiencies in resource use.  However, it should be noticed that several scholars suggest that QS/ES implementation is costly, and as such, decreases firms’ competitiveness (Konar and Cohen, 2001; Corbett et al., 2005).  Empirically, the issue of whether QS and ES have a positive or negative impact on business performance (and the level of this influence) is far from being resolved. 1- Introduction

 Literature Review- Positive set of arguments for Quality Standards: Benner and Veloso (2008) Lo et al. (2008) Terlaak and King (2006) (1999) Corbett et al. (2005, see also Simmons and White, 1999).

1- Introduction  Literature Review- Negative set of arguments for Quality Standards: Martinez-Costa et al. (2008) McGuire and Dilts (2007) Lima et al. (2000) Terziovski et al. (1997)

 Literature Review- Positive set of arguments for Environmental Standards: Darnall et al. (2008) Konar and Cohen (2001) Khanna and Damon (1999) 1- Introduction

Hypotheses  H1: Quality and environmental-related standards improve firm’s business performance, ceteris paribus.  H2: Because of their complementarity, quality and environmental-related standards are more likely to increase business performance when implemented together than when only one of these standards is implemented, ceteris paribus.

 The research is based on the Organizational Changes and Computerization Survey (COI 2006).  We worked with a sample of firms with more than 20 employees. 2- Data and model specification 2.1- Data

 TURNOVER and PROFIT- two continuous variables.  QS is binary variable that equals to 1 if the firm was registered according to a quality standard such as the ISO 9001 standard and French quality standard EAQF in  ES is equal to 1 if the firm was registered according to ISO standard, organic labeling or fair trade, in  QSES is equal to 1 if the firm had both a quality and environmental-related standards in 2006, and 0 if it was registered according to only one of them.

2- Data and model specification 2.2-PS Matching  Let T be a dummy variable indicating whether the firm receives (T=1) or not (T=0) the treatment.  y1 is the business performance of the treated firms.  y0 is the business performance of the non-treated firms

2- Data and model specification 2.2-PS Matching Example : Quality registered firms vs. Non Quality registered firms. T = 1 if the firm is a Quality registered and 0 if the firm is a Non Quality registered. y1 is be the (logarithm of the) turnover per employee of Quality registered firms, and y0 is be the (logarithm of the) turnover per employee of Non Quality registered firms.

2- Data and model specification 2.2-PS Matching  Thus three quantities are of interest to us:  C=E [y1-y0] is the average treatment effect over the whole population;  C1 = E [y1-y0 | T = 1] is the average treatment effect over treated firms  and C0 = E [y1-y0 | T = 0] is the average treatment effect over non- treated firms.

Table : Determinants of QS/ES QSES QSES VariablesEstimatez-value Marginal effect Estimatez-value Marginal effect Estimatez-value Marginal effect Intercept-0.98*** *** SIZE SMEDIUM *** *** MEDIUM0.54*** ***0.99*** ***0.56** * BIG1.43*** ***1.20*** ***0.88*** *** GROUP0.30*** ***0.54*** *** NETWORK *** *** EXPORT0.40*** ***0.37*** *** RELOCATION0.40*** *** *** *** CUSTOMER1-0.28** **2.11*** *** CUSTOMER2-1.08*** ***0.92*** ***-0.33** * Max Rescaled R2 -2 log L -2 log L (Intercept only) Likelihood ratio Percent concordant Number of observations Number of registered firms

. Table : PS-matching estimatesa Global TreatedNon-treated Logarithm of turnover per employee QSES0.14***0.15***0.14*** QS0.09***0.06**0.12*** ES0.20***0.18***0.20*** Logarithm of profit per employee QSES0.24***0.21***0.26*** QS ES (*) and (***) indicate parameter significance at the 10 and 1 per cent level, respectively. a: The standard deviation of the treatment effect is computed using bootstrap with 100 simulations. QSES (TURNOVER) min=4807; max=5986; mean= QS (TURNOVER) min=6283; max=6728; mean= ES (TURNOVER) min=2546; max=4001; mean= QSES (PROFIT) min=4765; max=5976; mean= QS (PROFIT) min=6199; max=6712; mean= ES (PROFIT) min=2704; max=3989; mean=

3- Conclusion Using a propensity score matching method, this article offers a refined analysis of the link between QS/ES and business performance among French firms. First, we have shown that quality and environmental-related standards contribute to the improvement of French firms’ business performance, by increasing their turnover but not profit. Second, we have shown that quality and environmental-related standards are more likely to improve business performance when implemented together than when only one these standards is implemented. This result points out the synergy between ES and QS.

3- Conclusion  This result also suggests that, in terms of profit and turnover increase, firms could have vested interest in implementing both standards that have public attributes and those which are mainly privately- oriented. From the public authorities’ point of view, it would be also more effective to encourage and help firms to implement both quality and environmental- related standards in order to increase the competitiveness of their fellow firms.

Thanks for your attention!