Framework for mining community consultation based on discrete choice theory

The significance of local community acceptance to the success of a mine cannot be over-stated. Project sustainability has implications for local community acceptance as the development and operation of a mine can be viewed as a development intervention with concrete social, economic and environmental impacts. Although, some work has been done to understand these relationships, very little has been done to quantitatively model the relationship between project sustainability and community preferences. This paper presents a framework for quantitative community consultation for mining projects based on discrete choice theory. The paper establishes the most appropriate choice model and uses a review of the literature to select key determinants of mining community acceptance. Recommendations are made for future research to implement the proposed framework. This framework will allow engineers and regulators to better evaluate community input.

[1]  J. Martínez-Alier,et al.  International Capital vs . Local Population : The Environmental Conflict of the Tambogrande Mining Project , Peru . Draft , 2002 .

[2]  C. Kwak,et al.  Multinomial Logistic Regression , 2002, Nursing research.

[3]  John Rolfe,et al.  Mining Developments and Social Impacts on Communities: Bowen Basin Case Studies , 2009 .

[4]  D. Wise,et al.  A CONDITIONAL PROBIT MODEL FOR QUALITATIVE CHOICE: DISCRETE DECISIONS RECOGNIZING INTERDEPENDENCE AND HETEROGENEOUS PREFERENCES' , 1978 .

[5]  D. McFadden Conditional logit analysis of qualitative choice behavior , 1972 .

[6]  D. Hensher,et al.  Stated Choice Methods: Analysis and Applications , 2000 .

[7]  John Rolfe,et al.  Assessing social and economic impacts associated with changes in the coal mining industry in the Bowen Basin, Queensland, Australia , 2007 .

[8]  Andreas Kontoleon,et al.  Assessing the determinants of local acceptability of wind-farm investment: A choice experiment in the Greek Aegean Islands , 2009 .

[9]  J. Marschak Binary Choice Constraints on Random Utility Indicators , 1959 .

[10]  Susan A. Joyce,et al.  Social Impact Assessment in the Mining Industry: Current Situation and Future Directions , 2002 .

[11]  L. Thurstone A law of comparative judgment. , 1994 .

[12]  Cheol-Joo Cho Joint Choice of Tenure and Dwelling Type: A Multinomial Logit Analysis for the City of Chongju , 1997 .

[13]  Carlos F. Daganzo,et al.  Multinomial Probit: The Theory and its Application to Demand Forecasting. , 1980 .

[14]  S. Higman,et al.  Assessing the influence of Forest Day 5 , 2012 .

[15]  Walter Shearer,et al.  Defining and measuring sustainability , 1995 .

[16]  I. Thomson,et al.  Corporate Communication Standards , Practice and Issues Access to Information : A Key to Building Trust in the Minerals Sector , 2002 .

[17]  J. Mugisha,et al.  Biogas energy from family-sized digesters in Uganda: Critical factors and policy implications , 2009 .

[18]  Florian Heiss,et al.  Discrete Choice Methods with Simulation , 2016 .

[19]  M. Hunter The changing political economy of sex in South Africa: the significance of unemployment and inequalities to the scale of the AIDS pandemic. , 2007, Social science & medicine.

[20]  Kwame Awuah-Offei,et al.  Effect of mine characteristics on life cycle impacts of US surface coal mining , 2012, The International Journal of Life Cycle Assessment.

[21]  WedelMarco VriensTom Wansbeek Utility Covariancesand Context Effectsin Conjoint MNP Models , 1998 .

[22]  David Hoyos,et al.  The state of the art of environmental valuation with discrete choice experiments , 2010 .

[23]  John Rolfe,et al.  Coal mining and the resource community cycle: A longitudinal assessment of the social impacts of the Coppabella coal mine , 2009 .

[24]  John Rolfe,et al.  Assessing development options in mining communities using stated preference techniques , 2011 .

[25]  P. Río,et al.  Assessing the impact of renewable energy deployment on local sustainability: Towards a theoretical framework , 2008 .

[26]  Kate Fletcher,et al.  Demi: a case study in design for sustainability , 2002 .

[27]  D. Hensher,et al.  Assessing the influence of design dimensions on stated choice experiment estimates , 2005 .

[28]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .