Abstract
This publication uses a model to study the relationship between environmental regulations and plant exit. It has the main characteristics of a multinomial qualitative response model of the logit type, but also has elements of a Markov chain model. The model uses Norwegian panel data for establishments in three manufacturing sectors with high shares of units which have been under strict environmental regulations. In two of the sectors, the exit probability of non-regulated establishments is about three times higher than for regulated ones. It is also found that the probability of changing regulation status from non-regulated to regulated depends significantly on economic factors. In particular, establishments with weak profitability are the most likely to become subject to environmental regulation. 12 refs., 2 figs., 6 tabs.
Citation Formats
Bioern, E, Golombek, R, and Raknerud, A.
Environmental regulations and plant exit: A logit analysis based on established panel data.
Norway: N. p.,
1995.
Web.
Bioern, E, Golombek, R, & Raknerud, A.
Environmental regulations and plant exit: A logit analysis based on established panel data.
Norway.
Bioern, E, Golombek, R, and Raknerud, A.
1995.
"Environmental regulations and plant exit: A logit analysis based on established panel data."
Norway.
@misc{etde_377517,
title = {Environmental regulations and plant exit: A logit analysis based on established panel data}
author = {Bioern, E, Golombek, R, and Raknerud, A}
abstractNote = {This publication uses a model to study the relationship between environmental regulations and plant exit. It has the main characteristics of a multinomial qualitative response model of the logit type, but also has elements of a Markov chain model. The model uses Norwegian panel data for establishments in three manufacturing sectors with high shares of units which have been under strict environmental regulations. In two of the sectors, the exit probability of non-regulated establishments is about three times higher than for regulated ones. It is also found that the probability of changing regulation status from non-regulated to regulated depends significantly on economic factors. In particular, establishments with weak profitability are the most likely to become subject to environmental regulation. 12 refs., 2 figs., 6 tabs.}
place = {Norway}
year = {1995}
month = {Dec}
}
title = {Environmental regulations and plant exit: A logit analysis based on established panel data}
author = {Bioern, E, Golombek, R, and Raknerud, A}
abstractNote = {This publication uses a model to study the relationship between environmental regulations and plant exit. It has the main characteristics of a multinomial qualitative response model of the logit type, but also has elements of a Markov chain model. The model uses Norwegian panel data for establishments in three manufacturing sectors with high shares of units which have been under strict environmental regulations. In two of the sectors, the exit probability of non-regulated establishments is about three times higher than for regulated ones. It is also found that the probability of changing regulation status from non-regulated to regulated depends significantly on economic factors. In particular, establishments with weak profitability are the most likely to become subject to environmental regulation. 12 refs., 2 figs., 6 tabs.}
place = {Norway}
year = {1995}
month = {Dec}
}