Deakin, Simon
(2017).
Labour law and poverty alleviation datasets.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-852349
The aim of the project was to understand the role of labour law in alleviating poverty in developing countries. The quantitative dimension of the work took the form of econometric analysis of data on legal and institutional variables. The qualitative dimension of the work consisted of interviews in the case study countries (China, Cambodia, India and South Africa). Interviewees included those with legal knowledge and experience (judges, lawyers, politicians, regulators, civil servants, labour inspectors), private-sector firm-level actors (HR and other managers), and actors in civil society (trade unions, NGOs).
Data description (abstract)
This data collection consists of (1) a leximetric dataset coding for labour laws in 117 countries for the period 1970-2013, consisting of a PDF document setting out the coding methodology and sources, and an Excel spreadsheet with the data; and (2) qualitative datasets based on interviews in Cambodia, China, South Africa and India;
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Deakin Simon |
University of Cambridge |
|
|
Contributors: |
Name |
Affiliation |
ORCID (as URL) |
Marshall Shelley |
Monash University |
|
Adams Zoe |
University of Cambridge |
|
Bishop Louise |
University of Cambridge |
|
Zheng Enying |
University of Cambridge |
|
|
Sponsors: |
Economic and Social Research Council
|
Grant reference: |
ES/J019402/1
|
Topic classification: |
Law, crime and legal systems Politics Economics Trade, industry and markets Social stratification and groupings Labour and employment
|
Keywords: |
labour law, poverty alleviation, leximetrics, Cambodia, China, India, South Africa
|
Project title: |
Labour law and poverty alleviation in low- and middle-income countries
|
Grant holders: |
Simon Deakin, Shelley Marshall
|
Project dates: |
From | To |
---|
31 March 2013 | 31 March 2016 |
|
Date published: |
30 Jun 2016 09:45
|
Last modified: |
14 Jul 2017 14:00
|
Temporal coverage: |
From | To |
---|
1 January 1970 | 31 December 2013 |
|
Collection period: |
Date from: | Date to: |
---|
31 March 2013 | 31 March 2016 |
|
Geographical area: |
Cambodia, China, India, South Africa, United Kingdom |
Country: |
United Kingdom, Cambodia, China, India, South Africa |
Data collection method: |
The quantitative dataset was constructed using a version of ‘leximetric’ methodology which provides a basis for the statistical analysis of legal rules. An index consisting of 40 indicators relating to aspects of law was developed. Then a coding template or algorithm was identified for each indicator. The coding was done by identifying the provisions of law and relevant court decisions applicable to or answering the description of each of the indicators or variables in the index. Secondary sources, relevant databases of national laws, and the ILO’s NATLEX database were consulted. Primary sources were retrieved from texts available in law libraries or online. Wherever possible, texts were consulted in their original language (the languages read in the original were English, French, German, Italian, and Spanish). Where translations of texts were consulted, it was generally possible to find a translation authorised by the government of the country concerned or by an international organisation. The data are reported by individual indicator, on a country/year basis, for 117 countries, for the period 1970-2013. The qualitative datasets consist of transcripts of interviews conducted in the case-study countries between 2013 and 2016. Where possible the datasets were recorded and transcribed. Where consent was not given for a recording, notes were taken and typed up following the interviews. |
Observation unit: |
Geographic unit, Organization, Text unit, Time unit |
Kind of data: |
Numeric, Text |
Type of data: |
Historical data, Qualitative and mixed methods data, Time series data |
Resource language: |
English |
|
Data sourcing, processing and preparation: |
The data are not derived from existing data sources. The leximetric dataset is based on primary sources in the form of legal texts but the coded data are original to the work carried out in the course of the project. The transcripts and notes contained in the qualitative datasets are based on interviews conducted in the case study countries between 2013 and 2016.
|
Rights owners: |
Name |
Affiliation |
ORCID (as URL) |
Deakin Simon |
University of Cambridge |
|
|
Contact: |
Name | Email | Affiliation | ORCID (as URL) |
---|
Deakin, Simon | s.deakin@cbr.cam.ac.uk | University of Cambridge | Unspecified |
|
Notes on access: |
The Data Collection is available for download to users registered with the UK Data Service. All requests are subject to the permission of the data owner or his/her nominee. Please email the contact person for this data collections to request permission to access the data, explaining your reason for wanting access to do the data. Once permission is obtained, please forward this to the ReShare administrator..
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Publisher: |
UK Data Archive
|
Last modified: |
14 Jul 2017 14:00
|
|
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