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updated march 2008   
                           

Research Interests
1. Natural resource/environmental/ecological economics
2. Regional impact analysis
3. Economic-bio modeling

CURRENT RESEARCHES
Investigation of Regional Efficiency
Related to regional development, measuring the regional efficiencies is attractive issue. Moreover, it is interesting topic to investigate the relationship between the regional efficiencies and the region size, infrastructure, education and so on.  He is working on this topic using Data Envelopment Analysis and Directed Acyclic Graphs approaches. Visit Prof Bessler's web for more information about DAG

Kim, M, and T.R. Harris. “An Efficiency Analysis of Nevada and Utah Counties: Region Size Leads Regional Efficiency.” Presented at the 47th Southern Regional Science Annual Meeting, Arlington, VA-Washington, DC (March 2008)

Impacts of Changing Polices on BLM land

Linear programming and input-output analysis: using ranch level linear programming model, he is attempting to assess ranch-level impacts of changing policies on BLM land.

Harris, T.R., J. Alevy, M. Kim, and B. Fadaly. “Development and Initial Application of an Integrated Linear Programming/Social Accounting Model: Rangeland Livestock Application.” Presented at the 2008 Southern Agricultural Economics Association (SAEA) Annual Meeting, Dallas, Texas (February 2008)

Land Use and Land Use Change

Investigation of the potential of land-based carbon sequestration and role of biomass, and resulting net greenhouse gas emissions from land use change; effects of carbon taxes and subsidies on agricultural and forestry sectors.

 

Continuation of past researches 1.


Climate Change and Health

Co-working with experts in Centers for Disease Control and Prevention (CDC) to evaluate the impact of climate change on health; heat related illness.

 

Economic Feasibility and Potential of Biomass for Power Plants in Nevada

Examining the economic implications of using biomass for electrical power generations replacing coal in Nevada

 

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PAST RESEARCHES
Land Use and Forestry Modeling

Search of a practical land use and forestry modeling; rebuilding PNNL Agricultural Land Use (AgLU) model which is called AgLU2x

Sands,R.D. and M. Kim. 2008. "Modeling Competition for Land: Methods and Application to Climate Policy." Eds T. Hertel, S. Rose and R. Tol. Economic Analysis of Land Use in Global Climate Change Policy, Routledge, forthcoming.

Kim, M.and R.D. Sands. 2007. "Look Ahead Ability and Forest Modeling." Working paper, JGCRI.

Sands, R.D., and M. Kim. “Modeling Land Competition in AgLU.” Presented at the Energy Modeling Forum (EMF-22): Land Use Subgroup, Tsukuba, Japan (December 2006)

Sands, R.D., and M. Kim. “Land Use Simulation in AgLU: Advanced Methods.” Presented at 11th AIM International Workshop, Tsukuba, Japan (February 2006)

Sands, R.D., and M. Kim. “Land Use Simulation in AgLU: Advanced Methods.” Presented at the Energy Modeling Forum (EMF-22): Land Use Subgroup, Washington, D.C. (February 2006)

Carbon Sequestration and Fungibility
Grading standard due to differential use value of greenhouse gas offsets from agricultural and forestry sector; in other words, greenhouse gas offsets from agricultural and forestry activities may not be perfect substitutes for offsets from other sources, for example, permanence, leakage, additionality and uncertainty.

Kim, M., B.A. McCarl, and B.C. Murray. 2008. "Permanence Discounting for Land-Based Carbon Sequestration." Ecological Economics 64(4):763-769.

Kim, M., and B.A. McCarl. 2008. "Uncertainty Discounting for Land-Based Carbon Sequestration." Working paper, Texas A&M University, Under journal review. Early draft is available here

McCarl, Bruce A., M. Kim, H. Lee, B.C. Murray, R.D. Sands, and U.A. Schneider. 2007. “Insight from EMF-associated Agricultural and Forestry Greenhouse Gas Mitigation Studies.” edited by Michael Schlesinger, Haroon Kheshgi, Joel Smith, Francisco de la Chesnaye, John Reilly, Tom Wilson, and Charlie Kolstad. Human Induced Climate Change: An Interdisciplinary Assessment, Cambridge University Press.

Kim, M., B.A. McCarl, and T. Butt. 2005. “Uncertainty Discounting for Land-Based Carbon Sequestration.” Presented at the International Policy Forum Greenhouse Gas Management, Victoria, British Columbia, Canada

Kim, M., B.A. McCarl, and B.C. Murray. 2005 “Permanence Discounting for Land-Based Carbon Sequestration.” Presented at the Third USDA/CASMGS Symposium, Greenhouse Gas and Carbon Sequestration in Agriculture and Forestry, Baltimore, Maryland

Kim, M., Economic Investigation of Discount Factors for Agricultural Greenhouse Gas Emission Offsets , Dissertation, Texas A&M University, College Station, TX, 2004. Dissertation link at Texas A&M University

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Energy Balances and Input-Output Analysis
Manipulation of energy balance data from International Energy Agency (IEA) and creation of hybrid input-output table for Second Generation Model (SGM) and further investigation of climate change analysis; and comparison of SGM and GTAP approaches

Sands, R.D., M. Kim, and A.A. Fawcett. 2007. "Extending GTAP Data for Climate Policy Analysis." Selected paper, presented at the Annual Conference on Global Economic Analysis, Purdue University, West Lafayette, IN

Sands, RD., S. Miller and M. Kim, 2005. The Second Generation Model: Comparison of SGM and GTAP Approaches to Data Development, Pacific Northwest National Laboratory, PNNL-15467. Available here

Time Series and DAG Analysis
A directed acyclic graph (DAG) analysis of the U.S. fed cattle market to shed light on causation between captive supply and fed cattle cash market price

Lee, A.C. and M. Kim. "Causality among Fed Cattle Market Variables: A Directed Acyclic Graph Analysis of Captive Supply." Under journal review

Lee, A.C., and M. Kim. “Fed Cattle Price Discovery: Directed Acyclic Graph and Time Series Modeling.” Presented at the 2007 American Agricultural Economics Association (AAEA) Annual Meeting, Portland, Oregon (July 2007)

Value of Information - ENSO and NAO Forecasting

Kim, M. and B.A. McCarl. 2005. "An Investigation of the Yield and Production Effects of the North Atlantic Oscillation." Climatic Change, 71: 117-139.

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