MSEEL Project Context: State of the Region

Caleb Stair, Sriparna Ghosh, and Randall Jackson

RRI Resource Doc 2017-01

Key words/Codes: Regional Economics, Regional Analysis, Energy Economics, Environmental Economics

View Document  (20 pp, 840 KB)

Abstract: The Marcellus Shale Energy and Environmental Laboratory, or MSEEL is the nation’s first integrated research initiative on shale gas drilling. An experimental hydraulic fracturing gas well is the centerpiece of the MSEEL project, “which West Virginia University launched in fall 2014 in partnership with Northeast Natural Energy, the National Energy Technology Laboratory of the U.S. Department of Energy and Ohio State University. The five-year, $11 million project is the first-ever long-term, comprehensive field study of shale gas resources in which scientists will study the process from beginning-to-end.”1 Because one dimension of the MSEEL analysis is the economic impacts and implications of well-drilling activity, this report has been prepared to provide a statistical overview and description of the local and regional economies leading up to the initiation of the MSEEL project, and to set the stage generallyfor subsequent socioeconomic analyses. The report includes various graphs and tables that describe the local economy during the 2001 to 2014 period, providing a context within which to view the role of gas extraction activities in the economy.


Economic Clusters Research
an Annotated Bibliography

Jing Chen and Randall Jackson

RRI Resource Doc 2015-04

Key words/Codes: Economic clusters, Agglomerations, Typologies;
R11, R12, O18

View Document (33 pp, 411 KB)



LCA Methodologies
an Annotated Bibliography

Xueting Zhao

RRI Resource Doc 2015-03

Key words: Life-Cycle Assessment (LCA), Process, Input-output,Hybrid

View Document  (37 pp, 394 KB)



Foundations of the WVU Econometric Input-Output Model

Randall Jackson and Juan Tomás Sayago-Gómez

RRI ResourceDoc 2015-02

Key words/Codes: Input-Output Model, Econometric model,
Forecasting Models; R15, C32, E27

View Document  (14 pp, 516 KB)



Quasi-Experimental Methods
an Annotated Bibliography

Mulugeta S. Kahsai and Randy Jackson

RRI ResourceDoc 2015-01

Key Words/Codes: Quasi experimental methods; Propensity Score Matching

View Document (26 pp, 339 KB)




Social Accounts for CGE in a Multi-Software Environment: Implan, GAMS and Excel

Amir Borges Ferreira Neto and
Randall Jackson

RRI ResourceDoc 2014-03_v2

Key Words/Codes: CGE, SAM, Spreadsheet, Excel, IMPLAN, GAMS; C68, R13

View Document (6 pp., 302 KB)


This resource document provides a method for streamlining the IMPLAN-GAMS SAM -> CGE workflow. We present the step-by-step procedure for constructing a Social Accounting Matrix (SAM) in IMPLAN, reading the data into GAMS, saving the SAM in spreadsheet format to facilitate subsequent direct editing, and using the edited spreadsheet SAM as input directly into GAMS for further CGE modeling.

Estimation of China Sectoral Emission Intensity: Based on Input-Output Model

Xueting Zhao

RRI ResourceDoc 2014-02

Key words/Codes: China, Sectoral, Emission Intensity, Input-Output, C67, Q53, R15

View Document (pp. 10, 604 KB)


With strong economic growth, China’s energy consumption and CO2 emissions grow quickly. The energy shortage and environmental problem have become the bottleneck of further economic growth. The most popular method to estimate the environmental impact is the Environmental input-output analysis, and the most important data support is the sectoral emission intensities. This Resource Document describes the process to estimate the China sectoral CO2 emission intensities based on the Disaggregated Input-Output table (suggest to read the Technical Document: Disaggregating Input-Output Models). This document includes the data sources, calculation process and the procedural notes.The calculation includes both the national China and Shanxi province.

Water Valuation Research
Annotated Bibliography

Christopher Shultz and Randall Jackson

RRI ResourceDoc 2014-01R1

Key Words/Codes:  Water resources, ecological economics, environment and development; Q32, Q56, Q57

View Document  (pp. 55, 451 KB)




Integrating Input-Output and Life Cycle Assessment: Mathematical Foundations

Randall W. Jackson

RRI ResourceDoc 2013-02

Key Words/Codes: I/O, LCA

View Document (pp. 7, 917 KB)


Input-output (IO) and Life Cycle Assessment (LCA) modeling share a strikingly similar mathematical foundation and formulation, yet melding the two frameworks is not completely straightforward. In particular, the boundaries of the two systems must be brought into alignment carefully, so as to avoid double counting. In this document, the two frameworks and their mathematical foundations are presented in brief, and the salient issues that enter into procedures integrating the two are highlighted.

Integrated Modeling Frameworks

Randall W. Jackson

RRI ResourceDoc 2013-01

Key Words/Codes: LCA, IO, SDA, SAMs, CGE

View Paper (pp. 5, 382 KB)


This document is intended to clarify the foundations of the IO and CGE analytical frameworks and procedures that underlie the NSF and USDA/NIFA funded research projects. It covers environmental data, life cycle assessment (LCA), input-output models (IO), structural decomposition analysis (SDA), social accounting matrix models (SAMs), and computable general equilibrium modeling (CGE).