Emissions Abating Technology Adoption in a Coal Trading Network

Social Network Analysis and Mining, Vol. 8(21), December 2018

11 Pages Posted: 7 Feb 2019

See all articles by Germán G. Creamer

Germán G. Creamer

Stevens Institute of Technology, School of Business; Columbia University - Department of Computer Science

Bernardo Creamer

Universidad de las Americas

Date Written: 2018

Abstract

This paper demonstrates that an investment decision such as the acquisition of a new technology that affects a particular asset is associated with the dynamic trading network of this asset. Therefore, the exogenous variables of this trading network can be used to identify the determinant factors of the investment decision and their final effect on the dynamic trading network.

Using a coal trading network among the different U.S. states between 1990 and 2005, this research studies the factors that affect the corporate strategies to adopt emission abating technology. Typically, these companies improve their processes and equipment to lower emissions, pay the news costs of emissions, or use less contaminating low-sulfur coal (high-quality inputs). Efficiency increases when more sub-bituminous coal is used because of its lower level of emissions in comparison to bituminous coal and when the electric power sector is deregulated. This research indicates that firms select strategies that simultaneously control emissions and minimizes costs. The firms reduce their pollution using higher quality inputs (sub-bituminous coal), investing in new emission abating technology or a combination of both approaches.

Keywords: Social Networks, Link Mining, Computational Economics, Environmental Economics, Energy Economics, Technological Change, Technical Efficiency, Data Envelopment Analysis

JEL Classification: D85, G12, Q48, Q52, Q55

Suggested Citation

Creamer, Germán G. and Creamer, Bernardo, Emissions Abating Technology Adoption in a Coal Trading Network (2018). Social Network Analysis and Mining, Vol. 8(21), December 2018. Available at SSRN: https://ssrn.com/abstract=3321629

Germán G. Creamer (Contact Author)

Stevens Institute of Technology, School of Business ( email )

1 Castle Point on Hudson
Hoboken, NJ 07030
United States
2012168986 (Phone)

HOME PAGE: http://www.creamer-co.com

Columbia University - Department of Computer Science ( email )

New York, NY 10027
United States

Bernardo Creamer

Universidad de las Americas ( email )

de los colimes, Av. De los Granados
Quito, 170137
Ecuador

HOME PAGE: http://www.udla.edu.ec/

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