1997Palgrave Macmillan UK eBooksRequires access

Proportions, Growth and Cycles between Constant and Non-Constant Returns to Scale

Maurizio Ciaschini

Open publisher page 0 citations

Abstract

One of the main features which characterizes current production processes is that of non-constant returns to scale. While this feature is generally accepted in theoretical analysis, it fails to generate any effective applied instruments for multi-sectoral modelling. This fact may be due to the popularity of the constant returns to scale hypothesis, and in particular to the high reputation of the Leontief assumptions. In fact, these provide both an operational framework for production accounts and a clear-cut derivation of sectoral input requirements functions from actual data. Nevertheless, they also induce the erroneous view that a dynamic multisectoral model is explosive (i.e. highly unstable) outside its balanced growth path. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

About this research paper

What this paper is about

One of the main features which characterizes current production processes is that of non-constant returns to scale. While this feature is generally accepted in theoretical analysis, it fails to generate any effective applied instruments for multi-sectoral modelling. This fact may be due to the popularity of the constant returns to scale hypothesis, and in particular to the high reputation of the Leontief assumptions. In fact, these provide both an operational framework for production accounts and a clear-cut derivation of sectoral input requirements functions from actual data. Nevertheless, they also induce the erroneous view that a dynamic multisectoral model is explosive (i.e. highly unstable) outside its balanced growth path. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

One of the main features which characterizes current production processes is that of non-constant returns to scale. While this feature is generally accepted in theoretical analysis, it fails to generate any effective applied instruments for multi-sectoral modelling. This fact may be due to the popularity of the constant returns to scale hypothesis, and in particular to the high reputation of the Leontief assumptions. In fact, these provide both an operational framework for production accounts and a clear-cut derivation of sectoral input requirements functions from actual data. Nevertheless, they also induce the erroneous view that a dynamic multisectoral model is explosive (i.e. highly unstable) outside its balanced growth path. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Returns to scale, Constant (computer programming), Popularity, Scale (ratio), Econometrics, Production (economics), Economics, Path (computing)

Related papers

Back to paper searchBrowse research topicsOriginal source
Proportions, Growth and Cycles between Constant and Non-Constant Returns to Scale — Research Paper | ScholarLens