scholarly journals Technological Structure and Technical Change in the U.S. Northeast Farm Region

1986 ◽  
Vol 15 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Conrado M. Gempesaw ◽  
James W. Dunn
Keyword(s):  
Technical Change ◽  
Duality Theory ◽  
Production Structure ◽  
Northeast Region ◽  
Farm Production ◽  
Technological Structure ◽  
The U.S

Considerable attention has been given to the proper measurement, estimation, and analysis of the technological structure of aggregate U.S. agriculture (Binswanger, Brown, Ray, and Antle). During the last decade, duality theory-motivated studies have also analyzed regional farm production (Saez, and Shumway). Except for the Saez study, no attempt has been made to analyze the farm production structure of the Northeast region.

scholarly journals History Lessons: The Early Development of Intellectual Property Institutions in the United States

2001 ◽  
Vol 15 (3) ◽  
pp. 233-246 ◽  
Author(s):  
B. Zorina Khan ◽  
Kenneth L Sokoloff
Keyword(s):  
Intellectual Property ◽  
Technical Change ◽  
The United States ◽  
Central Feature ◽  
Public Disclosure ◽  
Property System ◽  
Private Market ◽  
Strict Enforcement ◽  
Market For Technology ◽  
The U.S

The U.S. was a pioneer in establishing the world's first modern intellectual property system. That system was distinguished by the provision of broad access to, and strict enforcement of, property rights in new inventions, coupled with the requirement of public disclosure, and it was effective at stimulating the growth of a market for technology and technical change more generally. Far from being static, fundamental modifications were introduced over time in response to changing circumstances. That such adjustments so often proved to be constructive owes partly to a private market being a central feature of the system, and partly to the democratic structure of U.S. institutions.

An intraregional economic analysis of production structure and factor demand in major Canadian softwood lumber producing regions

1988 ◽  
Vol 18 (8) ◽  
pp. 1036-1048 ◽  
Author(s):  
J. K. Meil ◽  
J. C. Nautiyal
Keyword(s):  
Technical Change ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Production Capacity ◽  
Series Data ◽  
Variable Cost ◽  
Production Structure ◽  
Cross Sectional ◽  
Behaviour Factor ◽  
Factor Demand

Cross-sectional time-series data were employed to estimate four intraregional models of production structure and factor demand over the time period 1968–1984. Lumber, tie, and pulp chip information was incorporated into the restricted, single-output, variable cost transcendental logarithmic function. Results indicate that aggregate sectoral studies do not adequately reflect regional production behaviour in the industry. Additional tests for aggregation bias demonstrated that different mill sizes within a region also portray differing production behaviour. Factor demand decomposition analysis indicated that demand for production inputs is not static, but is governed by offsetting dynamic effects. With few exceptions, all mills across regions exemplify material- and energy-using and labour-saving biases in technical change. Larger mills consistenly registered the greatest labour-saving technical change, which countered their lack of attaining significantly large cost-reducing scale economies. Mid-sized mills consistently exhibited the largest returns to scale. The data suggest that small mills are leaving the industry in some regions and production capacity is becoming concentrated in the larger mills.

Pathways of Technological Change

2014 ◽  
Vol 5 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Jeffrey G. Woods
Keyword(s):  
Human Capital ◽  
Technological Change ◽  
Technical Change ◽  
Service Sector ◽  
Tax Revenue ◽  
Skilled Workers ◽  
Structural Unemployment ◽  
The Government ◽  
And Training ◽  
The U.S

While technological change benefits the U.S. service sector and the economy as a whole, the creation, design and production of innovations may favor highly-skilled over less-skilled workers. If skill-biased technical change creates more job vacancies for skilled, relative to less-skilled workers, less-skilled workers are at greater risk of becoming structurally unemployed. An epidemiological model is developed that describes the pathways to, and prevention of, structural unemployment (SU) of less-skilled workers. Less-skilled workers must protect themselves from being “infected” by the diffusion of skill-biased technical change in the service sector. They must choose to become “vaccinated” with “injections” of human capital to reduce the probability of contracting the “disease” of (SU) and to avoid permanently working in de-skilled jobs. By making less-skilled workers more productive, one can simultaneously improve the distribution of education and training, health and income inequality while providing the government more tax revenue.

Mapping Innovation in the Digital Transformation Era

2019 ◽  
pp. 160-178 ◽  
Author(s):  
Elona Marku ◽  
Manuel Castriotta ◽  
Maria Chiara Di Guardo ◽  
Michela Loi
Keyword(s):  
Digital Transformation ◽  
Future Technology ◽  
Communications Industry ◽  
Technological Structure ◽  
Technology Convergence ◽  
High Degree ◽  
The U.S ◽  
Technology Trends ◽  
Degree Of Overlap

Digital transformation is imperative for gaining and sustaining a firm's competitive advantage. Hence, understanding the dynamics of technology evolution becomes salient for both scholars and practitioners. This chapter aims to provide a complementary perspective to the field of innovation by mapping and visualizing the patterns of digital transformation at the industry level with a particular focus on the role of technology convergence. The authors tracked 20 years of the technology of the U.S. communications industry in order to investigate how digital transformation has shaped the industry technological structure, which are the technological gaps and potential future technology trends. The results show a deep transformation of the industry with many interconnections between technology domains and a high degree of overlap between technology areas.

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