Directed technological change, energy and more
A modern story
Bibliographic Data
| ID | 21691022 |
|---|---|
| Authors | Zheng Hou (0000-0001-9148-6840, Iscte – Instituto Universitário de Lisboa, corresponding author), Catarina Roseta‐Palma (0000-0001-9332-823X, Iscte – Instituto Universitário de Lisboa), Catarina Roseta-Palma, Joaquim J S Ramalho (0000-0003-3533-2411, Iscte – Instituto Universitário de Lisboa) |
| Year | 2020 |
| Volume | 25 |
| Issue | 6 |
| Pages | 611-633 |
| Publication date | 2020-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Development Economics (JOURNAL) |
| Journal identifiers | ISSN: 1355-770X • E-ISSN: 1469-4395 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1355770x2000008x |
| OpenAlex | W3009594665 |
| Language | EN |
| Citations received | 2 |
| References cited | 60 |
Reliance of modern economic activities on the use of energy, most of which still comes from non-renewable sources, provokes concerns regarding the most efficient utilization of energy inputs in production. While most theory expects directed technological change to be biased towards the non-renewable input, there is rare macro-level evidence that technological change is actually biased towards energy rather than other main inputs. To fill this gap, we apply stochastic frontier analysis to country data regarding output produced with capital, labor and energy, and estimate a set of indicators for technological change. Findings show that technological change is biased the most towards energy in general. In particular, although different groups of countries exhibit various patterns, there is strong evidence that technological change favors energy more than labor. This is in line with the theoretical expectation that technological change ought to be biased towards the non-renewable input rather than the renewable ones
Economics · Frontier · Macro · Macroeconomics · Microeconomics · Natural resource economics · Productivity · Renewable energy · Stochastic frontier analysis · Technical change · Technological change · Computer Science · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Engineering · Environmental Impact and Sustainability
Directed Technical Change
The Induced Innovation Hypothesis and Energy-Saving Technological Change
The Environment and Directed Technical Change
Wald Criteria for Jointly Testing Equality and Inequality Restrictions
The Optimal Depletion of Exhaustible Resources
One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels
Growth with Exhaustible Natural Resources
Intergenerational Equity and Exhaustible Resources
Fixed and Random Effects in Stochastic Frontier Models
A model for technical inefficiency effects in a stochastic frontier production function for panel data
Induced Innovation and Energy Prices
Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
Formulation and estimation of stochastic frontier production function models
The Theory of Wages
Factor Substitution and Factor-Augmenting Technical Progress in the United States
A tale of two market failures
When Does Labor Scarcity Encourage Innovation
The Economics of Exhaustible Resources
Energy Prices and the Adoption of Energy-Saving Technology
| Citations per year | 0.33 |
|---|---|
| Citation span | 2020 - 2022 (3) |
| Highly cited | No |