Productivity can refer to different scientific fields. In economics, productivity is the amount of output created per unit input used. In corporate finance productivity is defined by the current year's sales to expense ratio over the previous year's sales to expense ratio. In linguistics, the degree to which a grammatical process can be extended to new cases is meant, whereas Social Productivity is the ratio of the volume of a group’s collaborative output produced per unit input (e.g. time) used.
In any case an increase of productivity is useful. In economics an increase of productivity reduces the costs or rises the benefits, respectively. Therefore it is interesting to examine the existing differences in order to improve the productivity.
The paper by Crespi and Geuna headlined „The productivity of UK universities“ also deals with this topic. They analysed the determinants of the three most common university research outputs, among others publications as well. For these publications for example they estimated significantly different lag structures, which means that the science system does not respond uniformly to changes in funds. I’ll expand on their work and their final results in chapter 2. Research funding as well as research production differ among the different European countries. Furthermore the productivity regarding the research activity differs, too. In chapter 3 I’ll compare some European countries regarding their research activity and their efficiency. The idea is to find out which factors cause the differences in their productivity in order to describe how countries with a lower productivity could improve their performance. Using the R&D expenditure as input factor and the scientific publication as output I’ll examine if Learning-by-Doing (LbD) or path dependence play a crucial role concerning this question. Furthermore I’ll try to find out whether some other factors that influence the relation between input and output or if time lags can be found.
At first sight LbD doesn’t seem to be a satisfying solution, as short run changes are impossible. But at least it shows, that the difference doesn’t result from any mistakes. Instead it reveals out that it will simply take some time to improve productivity. Path dependency as a solution would mean, one could check if it can be reversed by calculating the switching costs. But in fact, path dependent processes are often irreversible.
Table of Contents
1 Introduction
2 The productivity of UK universities
3 A cross country analysis
3.1 Data sources and method
3.2 Publications 2002
3.3 Publications 2003
3.4 Analysis
3.4.1 Learning-by-Doing
3.4.2 Path dependence
3.5 Conclusion
4 Critical evaluation
5 Possible extensions
6 Summary
Research Goals and Key Topics
This paper examines the relationship between research funding and scientific output across European countries, with the objective of identifying factors that influence research productivity and exploring whether mechanisms like learning-by-doing or path dependence explain the observed performance disparities between nations.
- Comparison of European R&D expenditure and scientific publication output.
- Evaluation of learning-by-doing (LbD) as a driver of research productivity.
- Analysis of path dependence regarding scientific specialization.
- Assessment of time lags in the response of scientific output to funding changes.
- Investigation into the suitability of various input factors such as researchers and PhD graduates.
Excerpt from the Book
3.4.1 Learning-by-Doing
As I suggested in chapter 3.2 LbD might be the reason for the different outcomes of the countries‘ research activity.
LbD refers to the capability of workers to improve their productivity by regularly repeating the same type of action. The increased productivity is achieved through practice, self-perfection and minor innovations. Figures 6 and 7 show the productivity of the efficient countries. In both diagrams Romania is the one with the lowest output, whereas Switzerland is the one with the most publications.
On average the productivity decreases as the output increases. A statement about decreasing returns to scale and decreasing productivity only holds, if all these countries are completely comparable. But these countries are not all completely comparable, as the intuition says and as some outliers show. For a further examination more data is needed. Nevertheless I tried to find out at least a little bit using the data of 3 years (2001, 2002 and 2003) and 4 countries. If there is LbD, there must be an increase in productivity, as well. I examined only one country at a time, trying to find out if there is LbD as an explanation of the differences in productivity.
Summary of Chapters
1 Introduction: Defines research productivity in economic terms and outlines the paper's aim to analyze determinants of research output across European countries, building upon existing literature.
2 The productivity of UK universities: Reviews existing research on UK university productivity, specifically discussing how different lag structures and production models influence the relationship between funding and output.
3 A cross country analysis: Compares R&D expenditure and publication output across various European nations to determine if factors such as learning-by-doing and path dependence influence productivity.
4 Critical evaluation: Discusses limitations regarding data availability, sample periods, and the potential biases in the publication databases used for the analysis.
5 Possible extensions: Explores alternative research methods and potential input/output factors, such as patents, highly cited papers, and the role of researchers or PhD holders.
6 Summary: Synthesizes the findings, confirming that while specialization and time lags likely influence productivity, further research with more extensive data is required for conclusive results.
Keywords
Research Funding, Research Productivity, Economics of Science, Cross-Country Analysis, Learning-by-Doing, Path Dependence, Scientific Output, R&D Expenditure, Publications, Time Lags, Science Policy, Total Factor Productivity, European Commission, Research Determinants.
Frequently Asked Questions
What is the primary focus of this term paper?
The paper focuses on the economic analysis of scientific research production, specifically investigating how research funding translates into scientific output across different European countries.
What are the central themes discussed in the text?
The main themes include research productivity, the impact of funding on output, the existence of learning-by-doing effects, path dependency in scientific specialization, and the measurement of S&T performance.
What is the core research question?
The research question asks which factors cause differences in research productivity between countries and whether mechanisms like learning-by-doing or path dependence play a role in improving performance.
Which scientific methodology is applied?
The author applies a comparative cross-country analysis using R&D expenditure per capita as an input factor and scientific publications per head as an output indicator, complemented by existing econometric models.
What is covered in the main section of the paper?
The main section covers an empirical comparison of European research activity, testing for time lags, analyzing productivity trends in specific countries, and evaluating the influence of scientific specialization.
Which keywords best characterize this work?
Key terms include research productivity, R&D expenditure, scientific publications, learning-by-doing, path dependence, and European cross-country analysis.
How does the author define the concept of 'Learning-by-Doing' (LbD)?
The author defines LbD as the capability of researchers and institutions to improve their productivity over time through repeated action, practice, and incremental innovation.
What conclusion does the author draw regarding the role of scientific fields?
The author concludes that scientific specialization is a significant factor in productivity differences due to varying publication habits, but it does not fully explain all discrepancies between countries.
- Quote paper
- Saskia Schierstädt (Author), 2006, Research funding and research production: A cross country analysis, Munich, GRIN Verlag, https://www.grin.com/document/65517
