Prof Riccardo Crescenzi STC S414

This course is compulsory on the MSc in Local Economic Development and MSc in Urban Policy (LSE and Sciences Po). This course is available on the MPA Dual Degree (LSE and Columbia), MPA Dual Degree (LSE and Hertie), MPA Dual Degree (LSE and NUS), MPA Dual Degree (LSE and Sciences Po), MPA Dual Degree (LSE and Tokyo), MPA in International Development, MPA in Public Policy and Management, MPA in Public and Economic Policy, MPA in Public and Social Policy, MPA in Social Impact, MPhil/PhD in Economic Geography, MSc in African Development, MSc in City Design and Social Science, MSc in Development Management, MSc in Environmental Economics and Climate Change, MSc in Regional And Urban Planning Studies, MSc in Urban Policy (LSE and Sciences Po) and Master of Public Administration. This course is available with permission as an outside option to students on other programmes where regulations permit.

The number of students that can be accommodated is limited. If the course is over-subscribed, places will be allocated at the Department’s discretion and a waiting list may be created. For further details, please contact your relevant Programme Coordinator.

Why do some regions and territories perform systematically better than others in terms of economic development and wealth? What are the key drivers of local and regional economic performance? How can local and regional economic development policies boost economic activity and improve socio-economic conditions in disadvantaged areas? Globalisation and technological change have challenged the 'traditional' answers to these questions and call for new analytical and policy tools. This course provides students with an in-depth understanding of the macro and meso-level determinants of regional and local economic development and of the policies influencing these drivers. After examining the existing disparities in regional economic performance between and within a number of advanced, emerging and developing countries, the course illustrates the scope and justification for government intervention in this area. Various theories and approaches to local and regional economic development, leading to different policy prescriptions, are analysed in order to identify different macro and meso determinants of economic performance (from innovation and human capital to knowledge spillovers and global networks). In particular, the course dwells on the regional policy of the European Union (EU) - one of the most important large-scale regional policy experiences - in order to discuss the pros and cons of existing policy tools and illustrate the benefits of a 'balanced' approach to the analysis, design, management and implementation of regional and local economic development policies in a globalising world. In this context, special attention will also be devoted to the cases of the United States, China and India in a comparative perspective.

20 hours of lectures and 27 hours of seminars in the MT.

Seminar teaching consist of a combination of seminars and debates.

Students will be expected to produce 1 piece of coursework in the MT in order to prepare for the Take Home Exam.

H W Armstrong & J Taylor, Regional Economics and Policy, Macmillan, 2000; R Capello, Regional Economics 2nd Edition, Routledge, 2016; R Crescenzi & M Percoco Geography, Institutions and Regional Economic Performance, Springer,  2013; R Crescenzi & A Rodríguez-Pose Innovation and Regional Growth in the European Union, Springer, 2011; C Jones Introduction to Economic Growth 2nd edition, Norton 2001; P McCann Urban and Regional Economics, OUP 2001; A Pike, A Rodríguez-Pose & J Tomaney, Local and regional development 2nd Edition, Routledge, 2017.

A number of more specialized texts will be recommended at the beginning of the course.

Take home exam (100%) in the LT.

Although systematic statistical data on survey results are not yet available for this course. Some key insights from last year’s Students Survey:

Q.1.10) How much intellectual benefit have you gained from this lecturer’s lecturing? Average score = 1.3 (StDev 0.6) – Where 1 is ‘Very Good’ and is the maximum score.

Q.1.11) Overall, how would you rate the performance of this lecturer? Average score = 1.1  (StDev 0.4) – Where 1 is ‘Very Good’ and is the maximum score.