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What are the implications of the needed climate transition for the potential reallocation of the U.S. labor force? This paper dissects green and polluting jobs in the United States across local labor markets, industries and at the household-level. We find that geography alone is not a major impediment, but green jobs tend to be systematically different than those that are either neutral or in carbon-emitting industries. Transitioning out of pollution-intensive jobs into green jobs may thus pose some challenges. However, there is a wage premium for green-intensive jobs which should encourage such transitions. To gain further insights into the impending green transition, this paper also studies the impact of the Clean Air Act. We find that the imposition of the Act caused workers to shift from pollution-intensive to greener industries, but overall employment was not affected.
v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.
This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International Conference on Computer Vision and Image Processing. held in Jaipur, India, in September 2019. The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized according to the following topics:​ Part I: Biometrics; Computer Forensic; Computer Vision; Dimension Reduction; Healthcare Information Systems; Image Processing; Image segmentation; Information Retrieval; Instance based learning; Machine Learning.Part II: ​Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering.