Public Policy, Technology Adoption, and Aggregate Energy Efficiency

This research examines the factors that influence the adoption of new energy-saving technologies among U.S. manufacturing plants and explores their potential impact on aggregate energy efficiency. We conduct this analysis using two models: a conventional diffusion model and a stand-alone model of new technology adoption we develop in this paper. The latter model allows us to compute effects on aggregate efficiency based solely on adoption data

Modelling a mixed system of air pollution fee and tradable permits for controlling nitrogen oxide: a case study of Taiwan *

A mixed-integer non-linear programming model that minimises the total regulatory costs of controlling nitrogen oxide is used to investigate how a newly proposed permit trading scheme in Taiwan, which incorporates the features of banking and a non-one-to-one trading ratio, may affect firms' emission reduction strategies and permit trading decisions. Compared to the previous regulation where only an air pollution fee is used, the new regulation that requires a reduction in emissions by 10 per cent from the emission level in the year 2000 for a 5 year period will increase the costs by 77 per cent, which is equivalent to US$9.87 million. The design of banking and the increasing returns to scale characteristic of pollution control among firms might lead to an uneven reduction in emissions in each year. Setting a lower reservation rate for banking would, however, help maintain a more stable environmental quality without a significant loss to the government in terms of air pollution fee revenue. Copyright 2007 The Author Journal compilation 2007 Australian Agricultural and Resource Economics Society Inc. .

Technology adoption decisions under a mixed regulatory system of tradable permits and air pollution fees for the control of Total Suspended Particulates in Taiwan

Air pollution fee, Tradable permits, Mixed-integer non-linear programming, Banking, Total Suspended Particulates, Q580, Q530, Q520,

How ‘bad apples’ spoil the bunch: Faultlines, emotional levers and exclusion in the workplace

Just as a rotten apple makes other apples around it begin to decay, so too can people influence others within their vicinity, particularly in terms of destructive emotions and behaviors. Trevino and Youngblood (1990) adopted the term ‘bad apples’ to describe individuals who engage in unethical behaviors and who also influence others to behave in a similar manner. In this chapter, the ‘bad apple’ metaphor is adopted to describe the employee whose actions and interactions create and maintain destructive faultlines and unethical exclusion behaviors that negatively impact the emotional well-being and effective and ethical performance of the team. In particular, the chapter examines the way in which ‘bad apples’ use destructive emotion management skills through the manipulation of emotional levers of others, what motivates them to do so and the implications it may have on management