This project will:
• Further extend – longitudinally and across different industries - a cross-sectional dataset of international investment and trade decisions in the manufacturing sector. The dataset is multilevel and combines firm ownership data and country-level trade data.
• Apply advanced network analytic techniques to examine the interplay between micro firm level activity and country level production patterns and how these change over time.
• This will allow to investigate changes over time and differences across industries with respect to the organisation of production. In addition, the PhD student will extend the databases by adding a spatial element and the use of value-added data to capture the location of value creation and capture.
There are growing concerns among international institutions such as OECD, WTO and UNCTAD that existing dataset do not allow sufficient understanding of the increasingly internationally fragmented nature of production processes, especially given the growing importance of large and complex enterprises, along with an increase in the proportion of intra-firm trade. The data limitations greatly constrict effective policy formulation. This project seeks to contribute to the ongoing research in this area for a better understanding of the international organisation of production.
Essential skills and knowledge:
We are seeking an enthusiastic applicant with an interest in developing a novel longitudinal dataset and exploration of issues in the area of international trade, the international organisation of production and Global Value Chains. The applicant will also have to demonstrate strong initiative and motivation to learn independently new analytical techniques and about different industries.
Desirable skills and knowledge:
Programming and/or econometrics/statistical skills; familiarity with R and/or Python; network analysis; a background in economics, international business or related disciplines.
The PhD student will be housed within the Department of Economics and International Business, will be engaged in the weekly meetings of the Networks and Urban Systems Centre, will have access to the relevant databases via Faculty subscriptions and will have access to the University’s High Performance Computing Facility. Mentoring will be provided in the use of these resources.
Making an application:
Please read this information before making an application. Information on the application process is available at: https://www.gre.ac.uk/research/study/apply/application-process
. Applications need to be made online via this link. No other form of application will be considered.
All applications must include the following information. Applications not containing these documents will not be considered.
• Scholarship Reference Number (Ref)– included in the personal statement section together with your personal statement as to why you are applying
• a research proposal related to the subject topic *
• a CV including 2 referees *
• academic qualification certificates/transcripts and IELTs/English Language certificate if you are an international applicant or if English is not your first language or you are from a country where English is not the majority spoken language as defined by the UK Border Agency * *upload to the qualification section of the application form. Attachments must be a PDF format.
Before submitting your application you are encouraged to liaise with the Lead Supervisor on the details above.
Year 1: £15,009
Year 2: In line with RCUK rate
Year 3: In line with RCUK rate
In addition, the successful candidate will receive a contribution to tuition fees equivalent to the university’s Home/EU rate, currently £4,327, for the duration of their scholarship. International applicants will need to pay the remainder tuition fee, currently £10,173, for the duration of their scholarship. This fee is subject to an annual increase.