Seeing ‘With my Own Eyes’: Strengthening Interactions between Researchers and Schools*
Summary (2 min read)
1. INTRODUCTION
- The Indian economy grew at unprecedented rates in the late eighties and nineties with manufacturing growth exceeding that of the rest of the economy.
- Predicting this demand is important, both because of the practical need to guide investments by individuals and institutions and because accelerated demand for education not matched by a matching surge in supply will lead to increased income inequality.
- Autor and Katz (1999) provide a survey of this literature.
- The authors investigate the hypothesis that skill-biased technological change did in fact arrive in India in the 1990s, examining Indian registered manufacturing using the Annual Survey of Industry (ASI).
2. THE INSTITUTIONAL CONTEXT
- Indian industrial policies were put in place just after independence in the 1950s and remained largely unchanged until the mid-eighties.
- Statements of changes in industrial policy were made in 1973, 1977 and 1980 which involved some streamlining of the licensing process and additional advantages for small and medium sized firms, especially those which exported most of their production.
- Perhaps more importantly from their perspective, there were complementary changes in policies relating to trade and financial markets.
- Figure 1 shows that during the 1990s the proportion of non-manual8 workers in registered manufacturing increased (from 23.5 to 24.4 percent) despite the increase in their relative wages (from 1.88 to 2.04).9.
- The authors goal is to investigate the causes of that increase in demand for skills in Indian manufacturing in the 1990s.
3. SKILL–BIASED TECHNOLOGICAL CHANGE – A FRAMEWORK
- The first aspect of their framework is a definition of factor-biased technological change.10 Consider a production technology Y = g (K, S, L, t) , (1) where K is capital, S is skilled labor, L is unskilled labor and t is time.
- One can illustrate simultaneously rising relative wages and employment for the skilled workers in terms of a simple relative demand and supply framework, making the standard assumption that factors are paid their marginal products.
- Because of this one should see skill-use shifts occurring where employers have more to gain from the introduction of new technology.
- Nevertheless, changes in capital skill complementarity will reflect changes in skill-bias of technology embedded in capital.
- To the extent that this shift occurs within industries (which the authors measure in 3 digit industry aggregates) they expect that the coefficients on imports and exports (φ and η) will be negative in the following equation.
4. DATA AND RESULTS
- The analysis is based on the India Annual Survey of Industry (ASI) which was available to us from 1983/84 through 1997/98 disaggregated by state and 3 digit (NIC) industry.
- The authors found two types of data problems: 1) Possible coding mistakes -.
- The data indicate a very sharp decline in employment in West Bengal between 1984 and 1985, from 1.1 million manufacturing workers to 800 thousand.
- Recognizing this, their analysis is conducted both with and without the suspect West Bengal data.
- The authors found that at the 4 digit industry level a large number of industry-state observations were present in some years but missing in previous or subsequent years, apparently due to a policy of aggregating observations across industry classifications in order to preserve confidentiality.
Results
- Table 3 reports changes in relative wages and quantities for non-manual and manual workers for the pre- and post-reform sample periods, 1984-89 and 1990-98 respectively.
- In contrast, during the 1984-89 period the employment share of non-manual workers dropped by 0.23 percentage points annually, while their relative wages increased at a rate of 0.26 percent per year.
- That indicates industries were substituting toward the employment of skilled labor despite the rising relative wage of skill.
- India is a country of diverse manufacturing technologies spread across vast distances with poor transport between States and between interior States and foreign markets.
- The two rightmost columns report that this increase in the capital-skill complementarity coefficient (0.0320 or 0.0278, depending on specification) is large and statistically significant.
5. CONCLUSIONS
- Indian manufacturing was unusual in the 1980s in the falling proportion of non-manual (relatively skilled) workers in employment, bucking a worldwide trend which has been associated with skillbiased technological change.
- Furthermore, estimated capital-skill complementarity increased significantly between the 1980s and 1990s from about zero, to a level similar to that for U.S. manufacturing in the 1960s or 1970s.
- Data on investments in technology would help us understand why demand for skills has increased in some industries and not in others.
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Cites background from "Seeing ‘With my Own Eyes’: Strength..."
...…a number of studies report that many scientists lack the appropriate skills for effective science communication, or that they are not offered sufficient training opportunities in developing the communication skills needed (Davies et al., 2012; Ecklund, James, & Lincoln, 2012; Royal Society, 2006)....
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...However, this poses a challenge for some scientists since a number of studies report that many scientists lack the appropriate skills for effective science communication, or that they are not offered sufficient training opportunities in developing the communication skills needed (Davies et al., 2012; Ecklund, James, & Lincoln, 2012; Royal Society, 2006)....
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References
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"Seeing ‘With my Own Eyes’: Strength..." refers background in this paper
...This is arguably particularly important in international research environments, where differences between research staff and communities in wealth, health and exposure to science can be very marked (Angell 1997; Krosin et al. 2006; Molyneux et al. 2004; Nabulsi et al. 2011)....
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...These fears contributed to rumours – as described elsewhere – of the research programme being involved in ‘devilworship’ (Molyneux et al. 2004)....
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...Social science studies since the early 2000s have documented that many community members have a range of questions and concerns about the research, sometimes expressed in rumours (Molyneux et al. 2004; Molyneux et al. 2005)....
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"Seeing ‘With my Own Eyes’: Strength..." refers background in this paper
...Social science studies since the early 2000s have documented that many community members have a range of questions and concerns about the research, sometimes expressed in rumours (Molyneux et al. 2004; Molyneux et al. 2005)....
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Frequently Asked Questions (11)
Q2. What future works have the authors mentioned in the paper "Seeing ‘with my own eyes’: strengthening interactions between researchers and schools*" ?
The authors wish to thank the Wellcome Trust ’ s International Engagement Award for funding this project and recognise the vital role played by Salim Mwalukore, Dorcas Kamuya and Vicki Marsh in establishing the Kilifi Schools Engagement Programme. Lastly the authors wish to thank the teachers and students of Bahari Girls, Shariani and Kilifi Township Secondary Schools, and to the Kilifi District Education Office for their support to the project.
Q3. What is the main conclusion of the study?
Experience from this pilot study suggests that participatory engagement between researchers and schools not only raises awareness of research and promotes positive attitudes towards science, but also offers researchers an opportunity to appreciate and learn from the community.
Q4. How many people are employed in the KEMRI programme?
The programme employs over 700 people, with researchers primarily from Kenya and elsewhere in East Africa, the UK, and other countries worldwide.
Q5. What is the need to recognise the limits of what community engagement can do?
Also highlighted is the need to recognise the limits to what community engagement itself can do in terms of solving all problems in research, including historical and background injustices and inequities, and unfair distribution of benefits in research.
Q6. How many people participated in the pilot?
The pilot involved 19 mid-level Kenyan researchers (i.e. degree (9), Masters (5) and PhD level (5)), the District Education Officer (DEO), school heads, Parent Teacher Associations (PTAs), students and 17 science teachers from three schools.
Q7. What is the effect of the pilot intervention on students’ attitudes towards scientists?
The increase in words such as ‘ordinary’, ‘normal’, and ‘hard-working’ in students’ descriptions of scientists suggest a lessening in the remoteness previously expressed towards scientists.
Q8. What activities were used to help the scientists in the pilot?
meetings and workshops throughout the course of the process with all of those involved with the pilot allowed for feedback and reflection, and fed into lessons for future expansion.
Q9. What is the purpose of the article?
In this article the authors describe the implementation and impact of a pilot participatory intervention involving schools, being considered as one potential component of a wider programme-wide set of community engagement activities.
Q10. What did the majority of teachers and stakeholders say about the potential young scientists?
Across the majority of post intervention Focus Group Discussions, teachers, students and stakeholders talked about the potential young scientists had to be role models for students.
Q11. What was the evidence for the increasing positive attitudes towards KWTRP?
Further evidence for these increasingly positive attitudes came in the form of an increasing willingness and enthusiasm for SEP activities by school participants throughout the intervention, and by the way in which feelings, opinions, concerns and questions were raised and discussed.