Chaves_Jose_2010_oikos-PRI

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    oikos PRI Young Scholars Academy 2010 Mainstreaming Responsible Investment

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    The researcher expects to encounter tangible and intangible linkages between high

    level of stock value growth and high level of corporate environmental governance; and

    low level of stock value growth and low level of corporate environmental governance.

    As a consequence, it is expected to attribute to these linkages a set of specific key-

    drivers, indicators, parameters and metrics that would be, further, adopted as analytics

    tools in the process of investment decision-making.

    3.1.1 Testing Hypothesis

    Graphic 3 presents four possible fields for investigating companies environmental gov-

    ernance and shareholder value delivering correlation. This research will investigate two

    hypotheses:

    i. Does Shareholders delivered High Value can be connected to the High Level of

    Corporate Environmental Governance?

    ii. Does Shareholders delivered Low Value can be connected to the Low Level of

    Corporate Environmental Governance?

    This research is expected to confirm that there is a clear, very intense causal relation-

    ship between the adoption of the good practices of Corporate Environmental Govern-

    ance by companies and their performance in the capital markets.

    3.2 Research Methods and Tools

    To define key-environmental drivers and key-financial performance parameters andto understand its relationship is the first path in the process of research methods choos-

    ing. Overcoming the difficulty of frameworking a reliable connection between them

    would brings the strictness amalgam to this work successfulness. Two previously-

    elected methodologies come to provide the means by tangible and intangible factors

    modeling can address a driver-performance matrix .

    General Morphological Analysis comes first. It has been successfully applied in situa-

    tions when non-quantified modeling is required. The three-dimensional configuration

    spaces (Figure 1) called Zwicky box 6 provides a strong understanding of how to integrate

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    tangible and intangible drivers and parameters. It has proved an excellent decision-

    oriented methodological tool, particularly by frameworking the process of intangible,

    non-quantified stakeholder analysis.

    Fuzzy Logic will provide the whole analysis framework. It has been a proved tool for

    handling with Intangible Key-Drivers and other environmental-related subjective infor-

    mation, as transparency and reputation, for instance. The fuzzy logic aggregates effi-

    ciency and intelligence in the inference analysis over ambiguous systems. The Fuzzy

    Hierarchy COPPE/Cosenza Model 7 will be used in this work under specific co-advisory of

    its creator, Doctor Carlos Alberto Nunez Cosenza, Professor Emeritus of the Federal Uni-

    versity of Rio de Janeiro.

    Figure 1 - Three-dimensional Configuration Spaces 8

    3.3 The Environmental Analytics Framework

    This research work adopts a convergence of key-environmental drivers guidelines

    sourced from the previously mentioned voluntary initiatives. These guidelines bringTangible Key-Drivers: corporate environmental policies, strategies, value-chain com-

    petitiveness, clean product and services, compliance & legal, etc.; and Intangible Key-

    Drivers : reputation; stakeholder dialog; institutional rewarding; risk-avoidance ac-

    knowledgment: risk-management external confidence.

    Tangible Key-Drivers

    i. Environmental Policies: Vision, Mission, Values and Principles.

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    ii. Corporate Environmental Strategies: Environmental value-chain competitiveness;

    clean product and services; community environmental value creation.

    iii. Corporate Environmental Management: Objectives, targets and metrics; envi-

    ronmental systems; learning and training; accounting and valuating; reporting.iv. Environmental Compliance: Law and regulatory framework; risk management;

    auditing; commitment to reduce pollution and emission; corporate liabilities.

    v. Corporate Environmental Performance Evaluation: Climate changing: emissions reduction projects & trading efforts; Biodiversity protection; Current energy efficiency efforts; Alternative energy, forestry and biomass projects;

    Clean technology development; Pollution prevention and control; Extended value-chain producer environmental responsibility practice; Risk avoidance initiatives, emergency preparedness and response; Water Resources Management: water conservation; effluent treatment and

    reuse.

    Intangible Key-Drivers

    i. Reputation: Industry environmental benchmarking.

    ii. Community Involvement: Community environmental projects; stakeholder com-

    munication and dialog.

    iii. Institutional Rewarding: Government and NGO environmental acknowledgement.

    iv. Risk-avoidance Acknowledgment: Risk-management external confidence.

    3.4 The Financial Performance Analytics Framework

    Frameworking and delivering trustable on-time available management information

    opens the channels to the investor-based finance 9 approach. According to the authors

    Kevin P. Coyne and Jonathan W. Witter, McKinseys partners, institutional investors and

    asset managers benefit from business transparency as a regular, expectable corporate

    practice.

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    Corporate & Financial Key-Performance Originators

    i. Financial reporting quality and availability.

    ii. Investor-based finance approach & investor relations structure.iii. Risk management & business continuity processes.

    iv. Investment grade rating.

    v. Business industry benchmarking.

    Key-Fundamental Analysis

    i. Operating cost benchmarking.

    ii. Shareholder value evolution.

    iii. Market value/Book value relation.

    iv. Traditional indicators: EBIT, EBITDA, EVA, ROA, ROIC, ROE, TSR.

    4. The Case Studies

    The Standard & Poors S&P 500 Index appears to be the most adequate low-step edge

    of analysis benchmarking due to its long-standing list of comprehensive group of compa-nies and industries.

    4.1 Targeted Industries

    Environmental high-risk-susceptible industries targeting is expected to add value to this

    research comprehensiveness, strictness and corporate relevance by studying the com-

    panys performance. This research investigates the following environmental-intensive

    industries: Iron and Steel, Metal and Mining, Electric Utilities, Chemical Manufacturing,and Oil and Gas Integrated.

    From each of these industries it were selected the Leaders in Stock Price Growth % (su-

    perior quartile) and the Laggards in Stock Price Growth % (inferior quartile). Then, hy-

    pothesis will be tested:

    i. Does Shareholders delivered High Value can be connected to the High Level of

    Corporate Environmental Governance?

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    ii. Does Shareholders delivered Low Value can be connected to the Low Level of

    Corporate Environmental Governance?

    4.2 Leaders and Laggards by Selected Industry

    I ron & Stee l Indust ryL e a d e r s S t o c k P r i c e G r o w t h ( % )

    Source: FreeStockCha rts. com interactive platform

    S&P 500

    Cia SidNacional

    Mechel

    Simec

    Posco

    Gerdau

    Iron & Stee l Industry

    L a g g a r d s - S t o c k P r i c e G r o w t h ( % )

    Source: FreeStockCharts .com interactive platform

    S&P 500

    Carpenter

    Arc Mittal

    Haynes

    Worthington

    China Steel

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    Source: FreeStockCharts .com i nteract ive platform

    Metal & Mining IndustryL e a d e r s S to c k P r i c e G r o w t h ( % )

    SP-500

    Vale

    Southern

    BHP Billiton

    Alum China

    Cameco

    Source: FreeStockCharts .com interact ive platform

    Metal & Mining Indus t ryLaggards S tock Pr ice Growth (%)

    Denison

    Alumina

    SP-5OO

    Alcoa

    HorseHead

    Palladium

    Source: FreeStockCha rts.c om interacti ve platform

    Elect r ic Ut i l i t ies Indust ryL e a d e r s S to c k P r i c e G r o w t h ( % )

    S&P 500

    CPFL

    Sempra

    Eletricidad

    Cemig

    Enersis

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    Source: FreeStockCharts .com interactive platform

    Electr ic Ut i l i t ies Indust ryL a g g a r d s S t o c k P r i c e G r o w t h ( % )

    S&P 500

    Progress

    American

    DTE

    Southern

    Edison

    Source: FreeStockCharts.com interactive platform

    Chemical Manufactur ing IndustryL e a d e r s S t o c k P r i c e G r o w t h ( % )

    S&P 500

    Dow

    I Flavors

    Braskem

    Du Pont

    PPG Ind

    S&P 500

    SQM

    Syngenta

    Monsanto

    Mosaic

    Agrium

    Source: FreeStockCharts.com interactive platform

    Chemical Manufactur ing IndustryL a g g a r d s S t oc k P r i c e G r o w t h ( % )

    S&P 500

    Dow

    I Flavors

    Braskem

    Du Pont

    PPG Ind

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    Source: FreeStockCharts .com interactive platform

    Oil & Gas Integrat ed IndustryL e a d e r s S t o c k P r i c e G r o w t h ( % )

    S&P 500

    Petrobras

    PetroChina

    Hess

    SuncorChina P&C

    Source: FreeStockCharts.com interactive platform

    Oil & Gas Integrated IndustryL a g g a r d s S to c k P r i c e G r o w t h ( % )

    YPF

    Eni SPA

    Conoco

    S&P 500

    Shell

    BP

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    References

    1

    America's Green Strategy. 1991. Porter, M. E. Scientific American. 1991.2 Toward a New Conception of the Environment-Competitiveness Relationship. 1995. Porter, M.E. & van der Linde, C. Journal of Economic Perspectives.

    3 Dow Jones Sustainability Group Index: A Global Benchmark for Corporate Sustainability. 2001.Ivo Knoepfel, Head of Rating and Index Research at SAM Sustainability Group Zollikon, Switzer-land. Elsevier Science Inc.

    4 The role of asset consulting in transforming investment decision-making: The integrations of environmental, social and governance considerations into corporate valuation. Eric R. W. Knight

    and Adam Dixon. November 2009. SSRN:

    5 http://www.unpri.org

    6 Zwicky, F. (1969) - Discovery, Invention, Research - Through the Morphological Approach, To-ronto: The Macmillan Company.

    7 http://www.producao.ufrj.br/cosenza.htm

    8 Modeling Complex Socio-Technical Systems Using Morphological Analysis Tom Ritchey, 2003-2006.

    9 Taking the Mystery out of Investor Behavior, Kevin P. Coyne and Jonathan W. Witter HarvardBusiness Review, 2002.