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The purpose of this paper is to provide a link between two of the seminal contributions of Edwin Mansfield. The first focuses on the determinants of firm growth and the second is concerned with university-based knowledge spillovers. By linking both firm-specific characteristics as well as access to knowledge spillovers from universities, the empirical evidence found in this paper suggests that knowledge spillovers as well as firm-specific characteristics influence firm growth.

Technological change affects industry dynamics, by influencing whether an industry experiences a shakeout and attains a concentrated market structure. Decades-long competitive processes are similar for matched industries in different nations, indicating that competitive processes — not just eventual concentration levels — arise systematically from causes that might be traced. The television manufacturing industry in the United States and the United Kingdom is used to illustrate common processes at work.

Edwin Mansfield combination of well-founded theoretical formulation about the process of innovation, the systematic testing of broadly accepted views in economics. His pioneering work helped to shape the theory of innovation from a primary focus on industry and firm specific characteristic as well as on the external environment, such as spillovers. The purpose of this paper is to link the seminal contributions of Mansfield. The first focuses on the determinants of firm, the second is concerned with industry context and the third is concerned with university-based knowledge spillovers. The purpose of this paper is to provide a link between these literatures spawned by Mansfield. By linking industry and firm-specific characteristics as well as access to knowledge spillovers from universities, the empirical evidence suggests that knowledge spillovers as well as firm-specific characteristics influence firm growth.

The cost of greenhouse gas (GHG) mitigation over time depends on both the rate of technical change in leading-edge technologies and the diffusion of knowledge and capabilities throughout international markets. This paper presents a framework developed by the U.S. Environmental Protection Agency (EPA) and RTI International (RTI) for incorporating technical change in non-CO2 GHG mitigation projections over time. An engineering (bottom-up) approach is used to model technical change as a set of price and productivity factors that change over time as a function of technology advances and the location of developing countries relative to the technology efficiency frontier. S-shaped diffusion curves are generated, which demonstrate the maturity of the market for a given technology in a given region. The framework is demonstrated for coal mine methane mitigation technologies in the United States and China, but it is applicable for the full range of technology adoption issues.