The dynamic study on firm’s environmental behavior and influencing factors: an adaptive agent-based modeling approach

Employing an adaptive agent-based modeling approach, the present study explored the evolvement of firms’ environmental behavior and influencing factors. Using empirical data from 167 firms in China, the simulation results revealed that firms’ environmental behavior followed this evolvement path: defensive behavior, preventive behavior, and enthusiastic behavior. Computational experiments indicated that with increased financial ability and level of environmental preparedness, the number of firms in all three categories of environmental behavior increased and so did their profits. With increased public pressure, the number of firms with defensive environmental behavior and their profits decreased, but the number of firms with preventive and enthusiastic environmental behavior and their profits increased. On the other hand, when managers’ education level increased, the number of firms with defensive behavior deceased, but their profits increased slightly, though the number of firms with preventive and enthusiastic behavior and their profits increased sharply. In addition, with the increased regulation level, the number of firms with a different category of environmental behavior and their profits decreased. Finally, with increased financial subsidy and market share, the number of firms with different behavior and their profits were modified slightly.

[1]  C. Garcés‐Ayerbe,et al.  Barriers to the adoption of proactive environmental strategies , 2011 .

[2]  D. Wheeler,et al.  Informal Regulation of Industrial Pollution in Developing Countries: Evidence from Indonesia , 1995, Journal of Political Economy.

[3]  Behavioral issues in financing low carbon power plants , 2009 .

[4]  Jeroen Schot,et al.  Environmental comakership among firms as a cornerstore in the striving for sustainable development , 1993 .

[5]  Julien Labonne,et al.  Why do manufacturing facilities introduce environmental management systems? Improving and/or signaling performance ☆ , 2009 .

[6]  L. Tesfatsion Agent-based computational economics : A constructive approach to economic theory , 2006 .

[7]  R. Kohn When Subsidies for Pollution Abatement Increase Total Emissions , 1992 .

[8]  Yong Liu Investigating external environmental pressure on firms and their behavior in Yangtze River Delta of China , 2009 .

[9]  Shosuke Suzuki,et al.  A Survey of Perception, Knowledge, Awareness, and attitude in Regard to Environmental Problems in a Sample of two Different Social Groups in Jakarta, Indonesia , 2001 .

[10]  Susmita Dasgupta,et al.  Industrial Environmental Performance in China: The Impact of Inspections , 2000 .

[11]  Randy A. Becker,et al.  Pollution Abatement Expenditure by U.S. Manufacturing Plants: Do Community Characteristics Matter? , 2003 .

[12]  Jon Kessler,et al.  Smart Screened Investments , 1998 .

[13]  Otto Rentz,et al.  Agent-based analysis of the impact of CO2 emission trading on spot market prices for electricity in Germany , 2007 .

[14]  Yoshiki Yamagata,et al.  Agent-based simulation and greenhouse gas emissions trading , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[15]  Carlos Montalvo Corral,et al.  Sustainable production and consumption systems—cooperation for change: assessing and simulating the willingness of the firm to adopt/develop cleaner technologies. The case of the In-Bond industry in northern Mexico , 2003 .

[16]  B. Peters Institutional Theory in Political Science: The New Institutionalism , 1999 .

[17]  Chen Wen The greening of industry: a research approach of industrial environmental geography , 2003 .

[18]  K. Nishitani An empirical study of the initial adoption of ISO 14001 in Japanese manufacturing firms , 2009 .

[19]  D. Cantor,et al.  The competitive determinants of a firm's environmental management activities: Evidence from US manufacturing industries , 2012 .

[20]  Wallace E. Oates,et al.  The theory of environmental policy , 1976 .

[21]  P. Slovic,et al.  The affect heuristic , 2007, European Journal of Operational Research.

[22]  Thomas P. Lyon 'Green' Firms Bearing Gifts , 2003 .

[23]  Sarah Stafford The Effect of Punishment on Firm Compliance with Hazardous Waste Regulations , 2002 .

[24]  Neil Gunningham,et al.  Explaining Corporate Environmental Performance: How Does Regulation Matter? , 2003 .

[25]  Guan Jinqiao Environmental Behavior and Analysis of Driving Model for Printing and Dyeing Enterprises in Taihu Basin , 2005 .

[26]  Eric Guerci,et al.  Modeling and implementation of an artificial electricity market using agent-based technology , 2005 .

[27]  A. Marcus,et al.  On the Edge: Heeding the Warnings of Unusual Events , 1999 .

[28]  S. Lioukas,et al.  Values, Attitudes and Perceptions of Managers as Predictors of Corporate Environmental Responsiveness , 2012, Journal of environmental management.

[29]  Zhi Tang,et al.  Stakeholder–firm power difference, stakeholders' CSR orientation, and SMEs' environmental performance in China , 2012 .

[30]  C. Egri,et al.  Leadership in the North American Environmental Sector: Values, Leadership Styles, and Contexts of Environmental Leaders and their Organizations , 2000 .

[31]  Jaime Rivera-Camino Corporate environmental market responsiveness: A model of individual and organizational drivers , 2012 .

[32]  Sanjay Sharma Managerial Interpretations and Organizational Context as Predictors of Corporate Choice of Environmental Strategy , 2000 .

[33]  Stuart Mestelman The social choice of alternative corrective devices , 1984 .

[34]  Susan Strife,et al.  Reflecting on Environmental Education: Where Is Our Place in the Green Movement? , 2010 .

[35]  José F. Molina-Azorín,et al.  Evaluating environmental regulation in Spain using process control and preventive techniques , 2009, Eur. J. Oper. Res..

[36]  Perry Sadorsky,et al.  The Determinants of an Environmentally Responsive Firm: An Empirical Approach , 1996 .

[37]  Dietrich Earnhart,et al.  The Effects of Community Characteristics on Polluter Compliance Levels , 2004, Land Economics.

[38]  Birgit Müller,et al.  A standard protocol for describing individual-based and agent-based models , 2006 .

[39]  I. Ajzen Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[40]  Daniel Veit,et al.  An Agent-Based Analysis of the German Electricity Market with Transmission Capacity Constraints , 2009 .

[41]  Per G. Fredriksson Environmental policy choice: Pollution abatement subsidies , 1998 .

[42]  Lucas Reijnders,et al.  Policies influencing cleaner production: the role of prices and regulation , 2003 .

[43]  W. Gray,et al.  Compliance and Enforcement: Air Pollution Regulation in the U.S. Steel Industry , 1996 .

[44]  F. Kaiser,et al.  ENVIRONMENTAL ATTITUDE AND ECOLOGICAL BEHAVIOUR , 1999 .

[45]  J. Hamilton Politics and Social Costs: Estimating the Impact of Collective Action on Hazardous Waste Facilities , 1993 .

[46]  Konstantinos Evangelinos,et al.  Corporate environmental management and regulation of mining operations in the Cyclades, Greece , 2006 .

[47]  C. Montalvo General wisdom concerning the factors affecting the adoption of cleaner technologies: a survey 1990–2007 , 2008 .

[48]  Shameek Konar,et al.  Information As Regulation: The Effect of Community Right to Know Laws on Toxic Emissions , 1997 .

[49]  Robert W. Hahn,et al.  The political economy of environmental regulation: Towards a unifying framework , 1990 .