Figure 1: When asked whether Mexico has the intellectual capacity to perform economic-environmental modeling, expert respondents said yes.

Similar documents
Guidelines for the Professional Evaluation of Digital Scholarship by Historians

Contribution of the support and operation of government agency to the achievement in government-funded strategic research programs

Committee on Development and Intellectual Property (CDIP)

General Assembly. United Nations A/63/411. Information and communication technologies for development. I. Introduction. Report of the Second Committee

Background and Overview of the Research and Experimental Development (R&D) Survey. Dr. John Shoopala. Chairperson, Board of Commissioners

GE Global Innovation Barometer 2018

Climate Science and the Uncertainty Monster. Judith Curry

Identification of Emerging g Food Risks: Results of an International Delphi Survey

PoS(ICHEP2016)343. Support for participating in outreach and the benefits of doing so. Speaker. Achintya Rao 1

CCG 360 o Stakeholder Survey

Home Energy Score Qualified Assessor Analysis. Results from the Qualified Assessor Questionnaire and Pilot Summit

General Questionnaire

DIGITAL GOVERNMENT TRANSFORMATION

The New Delhi Communiqué

The Finding Respect and Ending Stigma around HIV (FRESH) Study Intervention Post-Workshop Survey Community Participants

Confidence Building in Peaceful Use of Nuclear Energy Transparency and Human Resource Development in Asia Pacific Region

GENEVA COMMITTEE ON DEVELOPMENT AND INTELLECTUAL PROPERTY (CDIP) Fifth Session Geneva, April 26 to 30, 2010

Residential Paint Survey: Report & Recommendations MCKENZIE-MOHR & ASSOCIATES

Delhi High Level Conference on Climate Change: Technology Development and Transfer Chair s Summary

THE ATTITUDES OF ENTREPRENEURS AND MANAGERS REGARDING THE INFORMATION TECHNOLOGY IN ALBANIAN TOURISM ENTERPRISES ABSTRACT

Committee on Development and Intellectual Property (CDIP)

Policy Partnership on Science, Technology and Innovation Strategic Plan ( ) (Endorsed)

The aims. An evaluation framework. Evaluation paradigm. User studies

Gender Equality Commitment Workshop JUNE 2018

User Experience Questionnaire Handbook

GROUP OF SENIOR OFFICIALS ON GLOBAL RESEARCH INFRASTRUCTURES

SUSTAINABLE OCEAN INITIATIVE: KEY ELEMENTS FOR THE PERIOD

Satisfied with your custodian?

The IIE disseminates and promotes the scientific know-how

EUREKA in the ERA INTRODUCTION

Technological Foresight in Central Macedonia

II. The mandates, activities and outputs of the Technology Executive Committee

DRAFT. "The potential opportunities and challenges for SMEs in the context of the European Trade Policy:

GESIS Leibniz Institute for the Social Sciences

New Technologies and Smart Things in the Maritime Sector

Introduction. Data Source

An Evaluation Framework. Based on the slides available at book.com

RISE OF THE HUDDLE SPACE

Product Management of Research and Development Centers at Public Sector Universities in Pakistan

Ars Hermeneutica, Limited Form 1023, Part IV: Narrative Description of Company Activities

Sanna Talja & Pertti Vakkari Scholarly publishing orientations and patterns of print and electronic literature use

UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGE DEVELOPMENT AND TRANSFER OF TECHNOLOGIES (DECISION 13/CP.1) Submissions by Parties

Event Industry Global Market Research

Assessing and Monitoring Social Protection Programs in Asia and the Pacific

Standards for High-Quality Research and Analysis C O R P O R A T I O N

Ultra-Broadband Forum September 2015 Madrid, Spain

SMART HOME Insights on consumer attitudes to the smart home. The truth behind the hype. Smart home. Understand. Adopt. Success. About GfK.

Questionnaire Design with an HCI focus

Item 4.2 of the Draft Provisional Agenda COMMISSION ON GENETIC RESOURCES FOR FOOD AND AGRICULTURE

exceptional circumstance:

Science, Technology & Innovation Policy: A Global Perspective. Dr Lauren Palmer Australian Academy of Technological Sciences & Engineering (ATSE)

International Comparison of Science and Technology Capability, Judged by Japanese Experts

Second APEC Ministers' Conference on Regional Science & Technology Cooperation (Seoul, Korea, Nov 13-14, 1996) JOINT COMMUNIQUÉ

The Finding Respect and Ending Stigma around HIV (FRESH) Study Intervention Workshop Survey Community Participants

SURVEY ON USE OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)

Third World Academy of Sciences

ANALYSIS OF THE KNOWLEDGE GENERATION AND TECHNOLOGICAL DEVELOPMENT BY HEIS AND IMPACT ON SMES

SBI/SBSTA: Parties move forward on economic diversification and just transition work

Guidelines for Writers You must write for at least two different magazines on two different topics.

An Integrated Expert User with End User in Technology Acceptance Model for Actual Evaluation

Indo Asian Journal of Multidisciplinary Research (IAJMR) ISSN:

33 rd Asia Pacific Metrology Programme General Assembly 30 November 1 December 2017 New Delhi, India

We recommend you cite the published version. The publisher s URL is:

International initiatives in data sharing: OECD, CODATA and GICSI. Yukiko Fukasaku Innovmond Padova 21 September 2007

Climate Asia Research Overview

Usage of any items from the University of Cumbria s institutional repository Insight must conform to the following fair usage guidelines.

REPORT ON THE EUROSTAT 2017 USER SATISFACTION SURVEY

Competencies in Manufacturing Engineering Technology programs from employer s point of view.

Survey of Institutional Readiness

Re: JICPA Comments on the PCAOB Rulemaking Docket Matter No. 034

United Nations expert group meeting on strengthening the demographic evidence base for the post-2015 development agenda, 5-6 October 2015, New York

U.S. Public Opinion & Interest on Human Enhancements Technology JANUARY 2018

Interim Report on the Heiligendamm Process at the G8 Summit in Hokkaido Toyako 7 to 9 July 2008

Why Randomize? Dan Levy Harvard Kennedy School

CPE/CSC 580: Intelligent Agents

Interview with Prof. Dr. Stefan Mecheels, CEO Hohenstein Institute in Bönnigheim (Germany)

Japanese Acceptance of Nuclear and Radiation Technologies after Fukushima Diichi Nuclear Disaster

The Contribution of the Social Sciences to the Energy Challenge

SPICE: IS A CAPABILITY MATURITY MODEL APPLICABLE IN THE CONSTRUCTION INDUSTRY? Spice: A mature model

1 NOTE: This paper reports the results of research and analysis

Science & Technology Basic Plan (FY )

V.Smile Canadian Launch. A COMPAS Report for VTech Electronics

SPEECH BY DEPUTY MINISTER OF EDUCATION, SCIENCE AND TECHNOLOGY HON. CHIKUMBUTSO HIWA, M.P.

a) Getting 10 +/- 2 head in 20 tosses is the same probability as getting +/- heads in 320 tosses

Accelerating growth in a connected Mediterranean region

PEER REVIEW EVALUATION PROCESS OF MARIE CURIE ACTIONS UNDER EU S FP7

Knowledge Brokerage for Sustainable Development

_ To: The Office of the Controller General of Patents, Designs & Trade Marks Bhoudhik Sampada Bhavan, Antop Hill, S. M. Road, Mumbai

December 12, Dear NOAA Family,

TExES Art EC 12 (178) Test at a Glance

BIM Awareness and Acceptance by Architecture Students in Asia

Vital Statistics from Civil Registration Records

HOW TO START A CLIENT ADVISORY COUNCIL. Create a Lightning Rod for Referrals. Financial Professional Use Only / Not for Distribution to the Public

A Summary Report of a 2015 Survey of the Politics of Oil and Gas Development Using Hydraulic Fracturing in Colorado

REPORT OF THE UNITED STATES OF AMERICA ON THE 2010 WORLD PROGRAM ON POPULATION AND HOUSING CENSUSES

Chapter 4. Benefits and Risks From Science

Critical Issues and Problems in Technology Education

Emerging biotechnologies. Nuffield Council on Bioethics Response from The Royal Academy of Engineering

Report CREATE THE FUTURE YEAR OLDS

Fistera Delphi Austria

Transcription:

PNNL-15566 Assessment of Economic and Environmental Modeling Capabilities in Mexico William Chandler Laboratory Fellow, Pacific Northwest National Laboratory (retired) 31 October 2005 Purpose This paper reports the first effort by the Pacific Northwest National Laboratory (PNNL) to assess, on the behalf of the U.S. Environmental Protection Agency (EPA), the skills and infrastructure present in the economic and environmental modeling community of several developing countries, including Mexico, China, India, South Korea, and South Africa. This first report in the assessment focuses on the results of a questionnaire circulated at the U.S.-Mexico Economic and Environmental Modeling Workshop, convened in July 2005 in Mexico City. The workshop was hosted by the new Centro Mario Molina, or the Molina Center for Energy and the Environment, which was recently established by Mario Molina, a Nobel laureate, to apply science in Mexico to help improve the environment. EPA funded the workshop as part of a series to develop intellectual capacity for economic and environmental problem solving in developing countries. PNNL organized the effort and provided technical assistance to EPA. The purpose of the workshop series and for this assessment is to help policy makers make investments to improve economic-environmental modeling capabilities and, especially, for the international economic and environmental modeling community to make judgments about the most useful opportunities for cooperation and collaboration. It is EPA s intention to continue and expand this assessment. Methodology We gave questionnaires to 32 (non-randomly) selected, high-level experts in Mexico who were familiar with both the issues of economic and environmental modeling in the country and the intellectual capacity and infrastructure for carrying out the work. We provided the questionnaire in a folder of workshop materials. Verbal requests were made to return the survey, which was returned in a way that protected anonymity. Twenty of the 32 persons returned the survey. Given the small sample size, the results presented should be considered descriptive, not inferential, statistics. Half the questions were presented in a format requesting the participant to indicate strength of agreement or disagreement to a statement. The questions were carefully crafted to avoid positive bias, the tendency for respondents to agree with positive statements, by providing similar statements made in the negative. The other half of the survey required estimating the capacity for modeling by filling in a blank, for number of modeling teams for example. 1

The survey questions are reproduced in Tables 1 and 2. The results for the first part of the survey Table 1 are summarized in Figures 1-4; these figures represent the combined results of the positive and negative survey questions. Table 2 includes the survey questions and compiled results for the second part of the survey. Detailed Findings A general opinion of American participants in the U.S.-Mexico Workshop on Economic and Environmental Modeling was that Mexico possesses intellectual and model capacity that is comparable to that of the international community, including Japan, Europe, and the United States. This opinion is supported by the responses of the Mexican experts we surveyed. In contrast, however, the strongest single response we obtained from the modeling survey is that the Mexican government provides very little support for Mexican modelers and model development. This attitude found voice also in question-and-answer sessions in the workshop itself, especially in a policy discussion session, in which a repeated criticism is a perceived lack of continuity in support. This lack of support manifests itself not only in funding for outside experts, but in funding of Mexican civil servants and the ability of the government to review and to serve as a client (even nonpecuniary) for model results. Additional findings included the following, perhaps unsurprising results. A majority of experts believe that Mexican economic and environmental modelers possess high skill levels. A strong majority of experts believes that the Mexican government fails to support economic-environmental modeling. Experts disagreed more or less evenly on whether Mexican infrastructure, broadly defined, was adequate to meet the nation s economicenvironmental modeling needs. Significantly, experts found computing equipment to be generally adequate to the task, but that lack of data is a major impediment. Also, a small majority of experts believes that Mexico s economic-environmental modeling capabilities are insufficient for its policy-making needs and commitments. It is notable that experts were more mixed in their opinion whether economicenvironmental modeling per se was anywhere sufficient for policy making, inside or outside Mexico. We interpret this result as meaning that half the Mexican experts believe modeling is scientific and half do not, meaning there is a healthy skepticism about modeling, which we believe to be part science and part art. Nevertheless, Mexican experts expressed even less confidence in their own nation s capacity to provide policyrelevant and useful modeling results. This result stands in marked contrast to these same experts opinion that Mexican modelers include a sufficiently high-level of intellectual capacity. We can speculate that these mixed results are not so much a contradiction, but are consistent with the belief that the government of Mexico provides far too little support for economic- environmental modeling. To paraphrase the result, Mexico has highly qualified modelers, but they get little or no funding from the government and their work is insufficient for satisfying the policy-making needs of the Mexican government. This conclusion is consistent with the impression created by the interventions of several experts in the policy-making session at the workshop. It should be noted that all but one of the surveys was returned before that session took place. 2

The second half of the survey (presented in Table 2) asked for specific numerical responses to questions about modeling capacity. The chief results from this part of the survey can be most simply summarized in the following key points: Mexico has 3 or 4 top-down modeling teams (Mode = 3; Mean = 3.9). Mexico has 3 bottom-up modeling teams (Mode = 3; Mean = 2.5). Mexico has 2 issue specific modeling teams (Mode = 2; Mean = 2.3). Mexico has 2 non-co2 greenhouse gas modeling teams (Mode = 2; Mean = 2.2). The experts could identify even without naming them only 2-3 university programs providing graduate education in modeling, only 2-3 peer-reviewed publications in economic-environmental modeling each year, and only 3 or so international organizations collaborating with Mexico on economic-environmental modeling. 3

Figure 1: When asked whether Mexico has the intellectual capacity to perform economic-environmental modeling, expert respondents said yes. 45 40 35 30 SURVEY STATEMENT: Mexico Has High Intellectual Capability for Energy-Economic Modeling. QUESTION TO RESPONDENTS: Do you agree, disagree, or have no opinion? 25 20 15 10 5 0 Agree Disagree No opinion 4

Figure 2: When asked if Mexico possesses adequate computing and data collection infrastructure to conduct economic-environmental modeling, experts responses were mixed, agreeing that computing was adequate, but not data collection. 16 14 12 10 SURVEY STATEMENT: Mexico Has Adequate Infrastructure for Energy- Economic Modeling QUESTION TO RESPONDENTS: Do you agree, disagree, or have no opinion? 8 6 4 2 0 Agree Disagree No opinion 5

Figure 3: A clear majority of Mexican experts surveyed believe that funding for economic-environmental modeling in their country is inadequate. 12 10 8 SURVEY STATEMENT: Mexico Provides Adequate Financial Support for Energy- Economic Modeling QUESTION TO RESPONDENTS: Do you agree, disagree, or have no opinion? 6 4 2 0 Agree Disagree No opinion 6

Figure 4: Respondents are divided in their opinion whether economicenvironmental modeling is adequate for making policy decisions. 20 18 16 14 12 10 8 6 4 2 SURVEY STATEMENT: Mexico's Energy-Economic Modeling Is Adequate for Policy Making QUESTION TO RESPONDENTS: Do you agree, disagree, or have no opinion? 0 Agree Disagree No opinion 7

Table 1: This table shows the first of two parts of the survey, as presented. In the cells where respondents could mark, Strongly Agree..Strong Disagree, the total responses to each question has been tallied. Survey of Mexican Economic-Environmental Modeling Capacity Please indicate whether you strongly agree, agree, have no opinion, disagree, or strongly disagree with the following statements: Statements: [PLEASE MARK ONE CELL IN EACH ROW WITH "FILL" LIKE THIS:] Mexico has several highly qualified economic-environmental modeling teams. Strongly Agree Agree No opinion X Disagree Strongly Disagree 11 2 4 Energy-economic models used in Mexico are not adequate to guide policy making for climate change. 4 6 6 1 Energy-economic models used in Mexico compare favorably to European, U.S., and Japanese models. 6 4 7 Mexican policy makers do not find economic-environmental models credible (they do not "believe" the results). 1 5 6 5 The Mexican government provides significant financial support for economicenvironmental modeling. 2 4 7 4 Mexican experts apply a sufficient peer-review process for economic-environmental modeling. 4 6 5 2 Mexico-based peer-reviewed journals devote sufficient space to publishing methods for and results from economic-environmental models. 1 7 8 1 Mexican economic-environmental modelers are not required to undergo sufficient professional training. 12 5 Mexican economic-environmental modeling is adequate to meet Mexico's international climate change policy commitments. 1 1 6 8 1 Economic-environmental models should be used only as a guide to policy making and should not be relied on as "scientific" in nature. 2 4 1 9 1 Many Mexican modeling experts are working in Mexico in addition to those listed in the agenda for the 11-12 July 2005 U.S.-Mexico Economic-Environmental Modeling 4 6 6 1 Access to adequate computing capacity is an impediment to economic-environmental modeling in Mexico. 1 2 2 9 3 Data limitations are not a serious impediment to economic-environmental modeling in Mexico. 3 1 11 2 Mexican economic-environmental modeling is more oriented to top-down or macroeconomic modeling than it is to bottom-up modeling with technological detail. 8 4 4 1 8

Table 2: Survey of Mexican Economic-Environmental Modeling Capacity Specific Capabilities Please give your best guess estimate for each category by marking one cell in each row. (Give a range, if you prefer.) Indicators How many teams of Mexican economic-environmental modelers are you aware of in Mexico? MODE MEAN - Top down model teams 3 3.9 - Bottom up model teams 3 2.5 - Issue-specific model teams (e.g., transportation) 2 2.3 - Modeling teams who address Non-CO2 greenhouse gases 2 2.2 How many peer reviewed articles on economic-environmental modeling are published (in total) each year by Mexican specialists? 2 3.1 How many Mexican modeling teams utilize a high level of technological (engineering) detail in the models they run? 4 2.6 How many degree programs in Mexico train graduates in economic-environmental modeling? 2 1.3 How many public and private clients sponsor economic-environmental modeling in Mexico? 2 1.8 How many international organizations collaborate with Mexican researchers in the field of economic-environmental modeling? 3 3.1 9