Journal ArticleDOI
Determinants of environmental innovation in US manufacturing industries
TLDR
In this article, the authors employ panel data models to study how environmental innovation by US manufacturing industries responded to changes in pollution abatement expenditures and regulatory enforcement during the period 1983 through 1992.About:
This article is published in Journal of Environmental Economics and Management.The article was published on 2003-03-01. It has received 1245 citations till now. The article focuses on the topics: Manufacturing & Porter hypothesis.read more
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Business Models for Sustainable Innovation: State of the Art and Steps Towards a Research Agenda
TL;DR: In this paper, the authors review the current literature on business models in the contexts of technological, organizational, and social sustainability innovations and propose examples of normative 'boundary conditions' that business models should meet in order to support sustainable innovations.
Journal ArticleDOI
Does It Pay to Be Green? A Systematic Overview
Ambec Stefan,Lanoie Paul +1 more
TL;DR: In this paper, the authors systematically analyze the mechanism involved in each of the following channels of potential revenue increase or cost reduction owing to better environmental practices: (a) better access to certain markets; (b) differentiating products; (c) selling pollution-control technology; (d) risk management and relations with external stakeholders; (e) cost of material, energy, and services; (f)cost of cap...
Journal ArticleDOI
Business Models for Sustainable Innovation: State-of-the-Art and Steps Towards a Research Agenda
TL;DR: In this article, the authors review the current literature on business models in the contexts of technological, organizational and social innovation and propose examples of normative requirements that business models should meet in order to support sustainable innovations.
Journal ArticleDOI
Determinants of Environmental Innovation - New Evidence from German Panel Data Sources
TL;DR: In this article, the authors used two German panel data bases, the establishment panel of the Institute for Employment Research (IAB) and the Mannheim Innovation Panel (MIP) of the Centre for European Economic Research (ZEW), to explore the determinants of environmental innovations.
Journal ArticleDOI
Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts
TL;DR: In this paper, the authors examined the effect of environmental policies on technological innovation in the specific case of renewable energy and found that broad-based policies, such as tradable energy certificates, are more likely to induce innovation on technologies that are close to competitive with fossil fuels.
References
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Journal ArticleDOI
Longitudinal data analysis using generalized linear models
Kung Yee Liang,Scott L. Zeger +1 more
TL;DR: In this article, an extension of generalized linear models to the analysis of longitudinal data is proposed, which gives consistent estimates of the regression parameters and of their variance under mild assumptions about the time dependence.
Journal ArticleDOI
Toward a New Conception of the Environment-Competitiveness Relationship
TL;DR: In this article, the authors argue that the trade-off between environmental regulation and competitiveness unnecessarily raises costs and slows down environmental progress, and that instead of simply adding to cost, properly crafted environmental standards can trigger innovation offsets, allowing companies to improve their resource productivity.
Book
Regression Analysis of Count Data
TL;DR: The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences.
Journal ArticleDOI
Econometric Models for Count Data with an Application to the Patents-R&D Relationship
TL;DR: This paper developed and adapted statistical models of counts (nonnegative integers) in the context of panel data and used them to analyze the relationship between patents and R&D expenditures. But their model is not suitable for the analysis of large-scale data sets.
Journal ArticleDOI
Tightening Environmental Standards: The Benefit-Cost or the No-Cost Paradigm?
TL;DR: Porter and van der Linde as discussed by the authors argue that the traditional approach consists of comparing the beneficial effects of regulation with the costs that must be borne to secure these benefits, which is an artifact of what they see as a "static mindset."