Organizational Size and Pollution: The Case of the U.S. Chemical Industry

2002 ◽  
Vol 67 (3) ◽  
pp. 389 ◽  
Author(s):  
Don Sherman Grant II ◽  
Albert J. Bergesen ◽  
Andrew W. Jones
Risk Analysis ◽  
2003 ◽  
Vol 23 (5) ◽  
pp. 865-881 ◽  
Author(s):  
Paul R. Kleindorfer ◽  
James C. Belke ◽  
Michael R. Elliott ◽  
Kiwan Lee ◽  
Robert A. Lowe ◽  
...  

2016 ◽  
Vol 16 (3) ◽  
pp. 312-346 ◽  
Author(s):  
Eric Prier ◽  
Edward Schwerin ◽  
Clifford P. McCue

In general, there are many disincentives standing in the way of promoting change in public procurement practices by government agencies. Because engaging in sustainable purchasing requires some level of entrepreneurialism and risk-taking, a sorting framework is adopted to gauge whether some organizations are systematically more likely to pursue sustainable public purchasing (SPP) efforts than others. One-way analysis of variance and other methods are applied to a survey of public procurement practitioners across over 300 governments in the U.S. Results strongly suggest that agencies of various scope and reach tend to abstain from aggressively pursuing SPP efforts. However, when they do employ SPP, these efforts tend to be quite variable across and within levels of government and organizational size. In an effort to bridge theory with empirical data, a strong case can be made that the current state of SPP in the United States is the result of random and very cautious experimentation with little systematic pattern to SPP adoption.


Author(s):  
Nesrin Ozalp

This paper gives a representative energy process-step model of hydrogen production in the U.S. Chemical Industry based on federal data. There have been prior efforts to create energy process-step models for other industries. However, among all manufacturing industries, creating energy flow models for the U.S. Chemical Industry is the most challenging one due to the complexity of this industry. This paper gives concise comparison of earlier studies and provides thorough description of the methodology to develop energy process-step model for hydrogen production in the U.S. Chemical Industry. Results of the energy process-step model of hydrogen production in the U.S. Chemical Industry show that steam allocations among the end-uses are: 68% to process cooling (steam injection to product combustion gases), 25% to process heating, and 7% to other process use (CO2 converter). The model also shows that the major energy consuming step in hydrogen production is the reformer, which consumes approximately 16 PJ fuel. During the course of this study, the most recent U.S. federal energy database available was for the year 1998. Currently, the most recent available U.S. federal energy database is given for the year 2002 based on the data collected from 15,500 establishments.


Author(s):  
Nesrin Ozalp

This paper presents energy end-use model of the U.S. Chemical Industry. The model allocates combustible fuel and renewable energy inputs among generic end-uses including intermediate conversions through onsite power and steam generation. Results of this model provide the basis to scale energy process-step models. Two federal databases used to construct energy end-use models are Manufacturing Energy Consumption Survey of the U.S. Energy Information Administration, and the Energy Information Administration’s “EIA-860B: Annual Electric Generator Report”. These databases provide information on energy consumption for each end-use, electricity generation, and recovered waste heat at the prime mover level of detail for each industry on a national scale. Results of the model show that the majority of the fuel input is used directly for the end-uses. Although the rest of the fuel is used to generate steam and power, most of this energy contributes to the end-uses as steam. Therefore, the purpose of fuel consumption at non-utility plants is to run their end-uses. During the course of this study, the most recent U.S. federal energy database available was for the year 1998. Currently, the most recent available U.S. federal energy database is given for the year 2002 based on the data collected from 15,500 establishments.


1981 ◽  
Vol 26 (3) ◽  
pp. 507-519
Author(s):  
Stahrl W. Edmunds
Keyword(s):  

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