1) Tax shifting in perfect competition
2) Tax shifting in monopoly
3) Tax shifting in intermediate regimes
4) Particular cases of tax shifting

Text on-line, in the section "Materiali del corso"

Part I: Introduction to data analysis and exploratory tecniques
- Data frames
- Cluster analysis
- Principal component analysis

Part 2: Normal linear regression and its generalizations
- Polynomial regression
- Multiple regression
- Logistic and multinomial regression
- Beta regression
- Poisson and negative binomial regression

Part 3: Panel data analysis
- Balanced and unbalanced panel, micro and macro panel
- Modeling the level of the dependent variable
- Modeling change of the dependent variable
- Fixed effects and random effects models for categorical variables and continuous variables

Chatterjee, S. and Hadi, A.S. (2012), Regression Analysis by Example, 5th Edition, Wiley. Chapters: 1, 2, 3 (excluding 3.9), 4 (excluding 4.3, 4.9.2, 4.9.3, 4.10, 4.12, 4.13, 4.14), 5 (excluding 5.6 and 5.7), 6 (excluding 6.6 and 6.7), 9, 11, 12 (excluding 12.8.3 and 12.8.4), 13 (excluding 13.5, 13.6, 13.7).

Fox,J. and Weisberg, S. (2010), An R companion to applied regression, 2nd Edition, SAGE publications
Inc.

Andreb, H-J, Golsch, K., Schmidt, A.W. (2013), Applied panel data analysis for economic and social
surveys, Springer. Chapters: 1, 2, 3, 4

Civil Environmental Italian Law.

Ask the Professor for English lectures.

Civil Environmental Italian Law.

Ask the Professor for English lectures.

Part I: Linear algebra
The real vector space . Linear dependence and independence. Subspaces and spaces generated by vectors. Bases. Algebra of matrices. Determinant. Inverse matrix. Rank of a matrix. Systems of linear equations. Cramer's Theorem and Rouché-Capelli's Theorem. Homogeneous systems and linear dependence. Norm and Euclidean distance in . Scalar product. Sequences in . Topology and metrics in . Eigenvalues and eigenvectors. Diagonalization of matrices. Properties of eigenvalues.
Part II: Calculus of functions of several variables:
Continuous functions and Weierstrass theorem. Concave or convex functions. Partial derivatives and gradient. Differential. Derivations along a curve and directional derivative. Second order derivatives. Schwarz's theorem. Hessian matrix. Implicit function thoerem. Comparative statics. Inverse function theorem. Quadratic forms and matrices. Sign of a quadratic form.
Part III: Optimization:
Local and global maximum or minimum. First order conditions and second order conditions for free optimization. Equality constraints. Inequality constraints. Substitution method. Lagrange multiplier theorem. Second order conditions with constraints. Optimization for convex functions. Economic applications.
Part IV: Ordinary differential equations and systems
Definitions and examples. Exact differential. Equations in separable variables. Exact equations. Homogeneous equations. Malthusian growth model. Logistic growth model. Second order linear differential equations. General theorem of existence and uniqueness of the solution. Field of directions. Economic applications. Two-dimensional differential equation systems. Systems of linear differential equations: resolving method using eigenvalues, stationary states and their stability. Economic applications.

Textbook
• Simon & Blume: “Matematica per le scienze economiche” ed. Egea
or
• Simon & Blume: "Matematica 2 per l’economia e le scienze sociali", Università Bocconi Editore, 2002.

Section 1: Analytical techniques and modeling
- Modeling, definitions
- Basic concepts
- Solving numerical allocation problems
- Optimal control theory
- Phase diagrams
Section 2: Principles of natural resource economics and policy
- Non-renewable resources and stock pollutants: dynamics and regulation
- Fundamentals of renewable resource economics
- Fisheries and forests: optimal harvesting, stock recovery, and assessing extinction risk
- Decision making under uncertainty and option value
Section 3: Case studies and special topics
- The case studies change from year to year depending on current issues and on student interest

Teaching material
Lecture slides and other teaching material will be downloadable from the course website.
Textbook (required)
J. M. Conrad, Resource Economics, 2nd Edition 2010, Cambridge University Press, Paperback ISBN: 9780521697675, Chapters: 1 – 3 – 4 – 5.

Other textbooks (optional)
Jonathan M. Harris, Brian Roach, Environmental and Natural Resource Economics: A Contemporary Approach, Taylor & Francis Ltd 2017
C.W. Clark, Mathematical Bioeconomics. The Optimal Management of Renewable Resources, John Wiley & Sons, 1990 (for advanced students)

V.Termini, L. Colantoni, (2018), Il mondo rinnovabile. Come l'energia pulita può cambiare l'economia, la politica e la società, Luiss University Press.

First part: the marketing management and it's pillars: analytical, strategic and operational phase
Second part: introduction to product innovation: technological scenarios, concept design and evaluation, the launch of new products, startups innovative entrepreneurship
third part: environmental and business sustainability: the relationship between environment impact and marketing management. Responsible and sustainable marketing. Business cases and decision making in controversial situations.

Pozzi C., "Benvenuti nel 2050. Cambiamenti, criticità, curiosità", Egea 2019
Marino M., Pratesi C.A., "Cibo perfetto. Aziende, consumatori e impatto ambientale del cibo" Edizioni Ambiente 2015
Savoia A., "The Right It: Why So Many Ideas Fail and How to Make Sure Yours Succeed" Harpercollins 2019
Peter, Donnelly, Pratesi, "Marketing" Mc Graw Hill VI edition

The supply of agri-food products
- Agriculture and perfect competition
- Market structures and imperfect competition in agri-food sector
- Production costs agricultural supply in the short term
- Production costs and agricultural supply in the long term

The demand for agri-food products
- Recalls of consumption theory: from the utility function to the demand curve
- Income and substitution effect and classification of goods
- Price elasticity
- Income elasticity and Engel's law
- The demand for food as differentiated goods

Agriculture and agri-food system in Italy
- The Italian agri-food system
- The Italian import-export of agri-food products and the role of Made in Italy
- Quality and indications of origin in agri-food markets

The Common Agricultural Policy (Cap) of the EU and its application in Italy
- The Pac from the origin to the present day
- First and second pillar of the Cap: direct payments and rural development
- Multifunctionality of agriculture: environment, externality and public goods

- M. De Benedictis, F. Cosentino, Economia dell'azienda agraria, Il Mulino, Bologna, 1979: cap. 1, 6 e 7
- F. De Filippis, La domanda dei prodotti agroalimentari
- F. De Filippis (a cura di), L'agroalimentare italiano nel commercio mondiale, Roma, 2012: introduzione e capitoli 3, 5 e 6
- Selected readings on Italian agri-food sector will be delivered during the course
- Selected readings on EU Common agricultural policy will be delivered during the course
- R. Henke, C. Salvioni, La multifunzionalità in Europa

The purpose of this course is to provide students with analytical and empirical tools apt to build up an advanced and solid understanding of economic development processes. This objective will be pursued by connecting the theory to public policy issues at global level, international development cooperation and field level issues and key elements. The introduction of different approaches, and their firm connection within an interdisciplinary and critical perspective, is intended to lay the ground for the skills needed to contribute in the area of international development both at desk, field and analysis level.

I MODULE


- Introducing Economic Development: A Global Perspective

- Comparative Economic Development


- Classic Theories of Economic Growth and Development


- Contemporary Models of Development and Underdevelopment

- Poverty, Inequality, and Development


- Population Growth and Economic Development: Causes, Consequences, and Controversies

- Human Capital: Education and Health in Economic Development


- Agricultural Transformation and Rural Development


- The Environment and Development


- Development Policymaking and the Roles of Market, State, and Civil Society

- Foreign Finance, Investment, Aid, and Conflict: Controversies and Opportunities


- Finance and Fiscal Policy for Development

II MODULE

- Assumptions, Values, Initial definitions, History
- Focus: Debt/Structural Adjustment/Poverty Reduction - Policies
- State, Market, Civil Society
- Agricultural and Rural Development
- International Development Cooperation
- Agenda 2030, coherence, complexity
- Migration and Development
- Conflict and Development

Michael P. Todaro, Stephen C. Smith, Economic Development. 12th Edition. George Washington University: 2015, Pearson.Chapters 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 14, 15.
• Haslam Paul Alexander, Jessica Schafer and Pierre Beaudet, eds. Introduction to International Development: Approaches, Actors, and Issues. Second edition. Don Mills Ontario: Oxford University Press, 2012. Chapters 1, 3, 7, 9, 12, 14, 18, 22, 23.

• Sianes, A. (2017). Shedding Light On Policy Coherence for Development: A Conceptual Framework: Shedding light on Policy Coherence for Development. Journal of International Development, 29(1), 134–146. https://doi.org/10.1002/jid.2977

• Patton Michael Quinn, Developmental evaluation: applying complexity concepts to enhance innovation and use. New York: Guilford Press, 2011. Chapter 4.

Section 1: The research process
- Marketing process
- Market research
- Knowledge management
- Marketing information system
- Design market research process

Section 2: Qualitative research
- Qualitative traditional techniques
- Focus group
- In-depth interview
- Mystery shopping
- Qualitative data analysis

Section 3: Quantitative research
- Designing a questionnaire
- Multiple-items scales
- Reliability and validity analyses
- Survey
- Market segmentation analysis: factor & cluster analyses
- Market positioning analysis: discriminant analysis & correspondence analysis

Section 4: Final report presentation
- Improving communication skills
- Market research innovative approaches
- Preliminary field project presentation and subsequent tuning
- Definitive field project presentation

Malhotra N.K. 2015. Essentials of Marketing Research. An Applied Orientation, 1st Ed., Pearson.

Lecture slides, additional teaching material and assignments will be downloadable from a folder in OneDrive. Access will be provided to students.

Part I: Introduction to data analysis and exploratory tecniques
- Data frames
- Cluster analysis
- Principal component analysis

Part 2: Normal linear regression and its generalizations
- Polynomial regression
- Multiple regression
- Logistic and multinomial regression
- Beta regression
- Poisson and negative binomial regression

Part 3: Panel data analysis
- Balanced and unbalanced panel, micro and macro panel
- Modeling the level of the dependent variable
- Modeling change of the dependent variable
- Fixed effects and random effects models for categorical variables and continuous variables

Chatterjee, S. and Hadi, A.S. (2012), Regression Analysis by Example, 5th Edition, Wiley. Chapters: 1, 2, 3 (excluding 3.9), 4 (excluding 4.3, 4.9.2, 4.9.3, 4.10, 4.12, 4.13, 4.14), 5 (excluding 5.6 and 5.7), 6 (excluding 6.6 and 6.7), 9, 11, 12 (excluding 12.8.3 and 12.8.4), 13 (excluding 13.5, 13.6, 13.7).

Fox,J. and Weisberg, S. (2010), An R companion to applied regression, 2nd Edition, SAGE publications
Inc.

Andreb, H-J, Golsch, K., Schmidt, A.W. (2013), Applied panel data analysis for economic and social
surveys, Springer. Chapters: 1, 2, 3, 4

Section 1: The research process
- Marketing process
- Market research
- Knowledge management
- Marketing information system
- Design market research process

Section 2: Qualitative research
- Qualitative traditional techniques
- Focus group
- In-depth interview
- Mystery shopping
- Qualitative data analysis

Section 3: Quantitative research
- Designing a questionnaire
- Multiple-items scales
- Reliability and validity analyses
- Survey
- Market segmentation analysis: factor & cluster analyses
- Market positioning analysis: discriminant analysis & correspondence analysis

Section 4: Final report presentation
- Improving communication skills
- Market research innovative approaches
- Preliminary field project presentation and subsequent tuning
- Definitive field project presentation

Malhotra N.K. 2015. Essentials of Marketing Research. An Applied Orientation, 1st Ed., Pearson.

Lecture slides, additional teaching material and assignments will be downloadable from a folder in OneDrive. Access will be provided to students.

Detailed course structure

General Part

- Introduction to the Economics of Innovation

- Innovation and Performance: Growth, Employment, Productivity, Export, Environment

- The theoretical foundations of Science, Innovation and Technology Policies

- The role of Intellectual Property Rights

- Subsidies and tax credit for R&D

- Public policies for eco-innovation

The Italian case

- The characteristics of the Italian production system

- The role of public enterprises in the industrial development of Italy

- The Italian National Innovation System

- Industrial Policy in Italy

European Regional Policies to promote business investment in innovation activities

- Structural Funds for Cohesion Policies

- The objectives of the 2014-2020 programming period

-The effects of cohesion policies on firms’ performances

Teaching material will be available to students in a shared Dropbox folder.

Students NOT attending the course

Textbooks

Handbook of The Economics of Innovation, Vol. 2, edited by Bronwyn H. Hall and Nathan Rosenberg, Elsevier (All Chapters).

M. Mazzucato, The Entrepreneurial State: debunking public vs. private sector myths (Anthem 2013)

Students attending the course

- Handbook of The Economics of Innovation, Vol. 2, edited by Bronwyn H. Hall and Nathan Rosenberg, Elsevier (Chapters 20-21-24-25-26-27-28).

Compulsory readings (FOR ALL STUDENTS)

Amatori, F., Bugamelli, M., Colli, A. (2011). Italian firms in history: size, technology and entrepreneurship. Bank of Italy Economic History Working Papers, 13, pp. 1–53.

Antonelli C., Barbiellini Amidei F., Fassio C. (2014). The mechanisms of knowledge governance: State owned enterprises and Italian economic growth, 1950–1994. Structural Change and Economic Dynamics, Vol. 31, pp. 43-63.

Archibugi D. and Filippetti A., (2015). Knowledge as Global Public Good. In: The Handbook of Global Science, Technology, and Innovation, First Edition. Daniele Archibugi and Andrea Filippetti (eds). DOI: 10.1111/b.9781118739068.2015.00025.x.

Archibugi D. and Filippetti A., (2017). The retreat of public research and its adverse consequences on innovation. Technological Forecasting & Social Change, Article in Press. https://doi.org/10.1016/j.techfore.2017.05.022

Calvino F. and Virgillito M. E., (2017). The innovation-employment nexus: a critical survey of theory and empirics. Journal of Economic Surveys, DOI: 10.1111/joes.12190.

Cerulli, G., Poti, B., 2012. Designing ex-post assessment of corporate RDI policies: conceptualization, indicators and modeling. World Rev. Sci. Technol. Sustain. Dev. 9, 2–4.

Costantini, V., Crespi, F., (2013). Public policies for a sustainable energy sector: regulation, diversity and fostering of innovation. Journal of Evolutionary Economics, Vol. 23, pp. 401-429.

Costantini, V., Crespi, F., Martini, C., Pennacchio, L., (2015). Demand-pull and technology-push public support for eco-innovation: The case of the biofuels sector, Research Policy, Vol. 44, pp. 577-595.

Costantini V., Crespi F., Palma, A., (2017), Characterizing the policy mix and its impact on eco-innovation: a patent analysis of energy-efficient technologies, Research Policy, Vol. 46, pp. 799-819.

Costantini, V., Crespi, F., Marin, G., Paglialunga, E. (2017). Eco-innovation, sustainable supply chains and environmental performance in European industries. Journal of Cleaner Production, Vol. 155, pp. 141-154.

V Costantini, F Crespi, E Paglialunga (2018), The employment impact of private and public actions for energy efficiency: Evidence from European industries, Energy Policy 119, 250-267

V Costantini, F Crespi, E Paglialunga, G Sforna, System Transition and Structural Change Processes in the Energy Efficiency of Residential Sector: Evidence from EU Countries, SPRU Working Paper 2018.

European Commission (EC), (2014). Summary of data on the progress made in financing and implementing financial engineering instruments reported by the managing authorities in accordance with Article 67(2)(j) of Council Regulation (EC) No 1083/2006. Programming period 2007-2013 (situation as at 31 December 2013). DG Regional and Urban Policy.

European Commission (EC), (2017). European Innovation Scoreboard 2017. DG Internal Market, Industry, Entrepreneurship and SMEs.

Goldstein A., (2003). Privatization in Italy 1993 - 2002: Goals, Institutions, Outcomes, and Outstanding Issues. CESifo Working Paper Series No. 912. Available at SSRN: https://ssrn.com/abstract=396324

Guarascio D., Pianta M., Bogliacino F., (2016). Export, R&D and new products. A model and a test on European industries. Journal of Evolutionary Economics, Vol. 26 (4), pp. 869-905.

Mazzucato M. and Semieniuk G., (2017). Public financing of innovation: New questions. Oxford Review of Economic Policy, Vol. 33(1), pp. 24-48.

Munari F., Roberts E. B., Sobrero M., (2002). Privatization processes and the redefinition of corporate R&D boundaries. Research policy, Vol. 31, pp. 31-53.

OECD, (2014). Measuring Environmental Innovation Using Patent Data: Policy Relevance. ENV/EPOC/WPEI(2014)6/FINAL. OECD Publishing, Paris.

1. The Neo-Institutional Theory of the Firm
1.1 Overview of the neoclassical theory of the firm
1.2 Ronal Coase and the transaction cost theory
1.3 The contribution of Oliver Williamson
1.4 Quasi-Rents: Klein, Crawford, Alchian
1.5 Property Rights Theory : Grossman, Hart e Moore
2. The organization of Italian firms
2.1 From large firms and the economic miracle of the 60's to the industrial discticts of the '80s
2.2 Firms and globalization
3. Main issues
3.1 Productivity
3.2 R&D
3.3 ICT
3.4 Internationalization
3.5 Global Value Chains
4. Laboratory session

Che cosa sa fare l'Italia, di Giunta A., Rossi S. (2017), Roma, Laterza. Chapters 2, 3, 4
Other teaching material is available to students in a shared Dropbox folder on the website of the Scuola di Economia e Studi Aziendali .

Module 1

- Introduction to spatial data models
- Introductions to database management systems
- Geographic Information Systems and their applications
- Remote Sensing and its applications
- Geospatial databases: how, where and when
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Generating new spatial information
- Mapping and representing socio-economic and environmental information
- Modelling spatial phenomena
- Working with spatio-temporal scenarios

de By, R.A (ed.) (2001): Principles of Geographic Information Systems. An introductory textbook, ITC. Educational Textbook Series 1, Enschede.
Chapters: 1, 2, 3, 5, 6

Martínez, J.A., Pfeffer, K. and Baud, I. (2016): Factors shaping cartographic representations of inequalities: maps as products and processes, Habitat International: A Journal for the Study of Human Settlements, 51 (2016) pp. 90-102.

ISTAT (2015) La nuova geografia dei sistemi locali, on-line: http://www.istat.it/it/archivio/172444
ISTAT (2014) Rapporto BES, on-line: www.istat.it/it/archivio/126613

The course aims at providing students with the quantitative methods for the economic and policy analysis. The course is structured in three modules, each of them covers different concepts and methods with a quantitative applied approach:
Module 1: Geospatial information for socio-economic and environmental analysis (20h)
- Geographic Information Systems, Remote Sensing and their applications
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Modelling spatial phenomena
Module 2: Counterfactual evaluation of public policies ex-post impact (20h)
- Impact assessment of public policies
- Theoretical framework of counterfactual evaluation
- Models: Matching, Difference-in-differences, Regression discontinuity; Synthetic control
- Empirical applications: different methods for different policies
Module 3: CGE models for ex-ante climate and energy policy impact evaluation (20h)
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model, formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Applications: tradable pollution permits; carbon tax; climate change and climate negotiation

- Introduction to spatial data models
- Introductions to database management systems
- Geographic Information Systems and their applications
- Geospatial databases: how, where and when
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Generating new spatial information
- Mapping and representing socio-economic and environmental information
- Modelling spatial phenomena
- Working with spatio-temporal scenarios


Module 2

- Introduction to the impact assessment of public policies
- Theoretical framework of counterfactual evaluation
- Overview of the principal methods: Matching; Difference-in-differences; Regression discontinuity designs; Synthetic control
- Elements of a counterfactual evaluation: conditions for the as good as random scenario; identification strategy; model; testing the validity; robustness
- Implementation of counterfactual evaluation in practice (e.g., evaluating the impact of the European regional policy on growth and employment via Regression Discontinuity Design)


Module 3

- Introduction to dynamic general equilibrium modelling for environmental policy analysis
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model: regional and sector aggregation, timing, calibration and sensitivity
- Formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Modelling tradable pollution permits
- Modelling carbon taxes
- Modelling EU energy and climate policy mix
- Modelling international climate negotiation
- Modelling the cost of climate change

Module 1:
de By, R.A (ed.) (2001): Principles of Geographic Information Systems. An introductory textbook, ITC. Educational Textbook Series 1, Enschede. Chapters: 1, 2, 3, 5, 6
Martínez, J.A., Pfeffer, K. and Baud, I. (2016): Factors shaping cartographic representations of inequalities: maps as products and processes, Habitat International: A Journal for the Study of Human Settlements, 51 (2016) pp. 90-102.

Module 2:
Angrist, J. and Pischke, J.S. (2009): Mostly harmless econometrics, Princeton University Press, NJ;
Blundell, R. and Costa-Dias, M. (2009): Alternative Approaches to Evaluation in Empirical Microeconomics, Journal of Human Resources, 44(3).
Dell, M. (2010): The Persistent Effects of Peru's Mining Mita, Econometrica,78, 1863–1903.

Module 3:
Burfisher, M. (2017). Introduction to Computable General Equilibrium Models. Cambridge: Cambridge University Press. Chapters: 1, 2, 3, 4, 5, 6.
Burniaux, Jean-Marc and Truong, Truong P. (2002). GTAP-E: An Energy-Environmental Version of the GTAP Model" (2002). GTAP Technical Papers 18.
Antimiani et al. (2017). The Green Climate Fund as an effective compensatory mechanism in global climate negotiations. Environmental Science and Policy, 77, pp. 49-68.

Notes and lab materials for attending students will be provided at the beginning of each module.

Module 3

- Introduction to dynamic general equilibrium modelling for environmental policy analysis
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model: regional and sector aggregation, timing, calibration and sensitivity
- Formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Modelling tradable pollution permits
- Modelling carbon taxes
- Modelling EU energy and climate policy mix
- Modelling international climate negotiation
- Modelling the cost of climate change

Burfisher, M. (2017).Introduction to Computable General Equilibrium Models. Cambridge: Cambridge University Press. doi:10.1017/9781316450741
Chapters: 1, 2, 3, 4, 5, 6

First part: the marketing management and it's pillars: analytical, strategic and operational phase
Second part: introduction to product innovation: technological scenarios, concept design and evaluation, the launch of new products, startups innovative entrepreneurship
third part: environmental and business sustainability: the relationship between environment impact and marketing management. Responsible and sustainable marketing. Business cases and decision making in controversial situations.

Pozzi C., "Benvenuti nel 2050. Cambiamenti, criticità, curiosità", Egea 2019
Marino M., Pratesi C.A., "Cibo perfetto. Aziende, consumatori e impatto ambientale del cibo" Edizioni Ambiente 2015
Savoia A., "The Right It: Why So Many Ideas Fail and How to Make Sure Yours Succeed" Harpercollins 2019
Peter, Donnelly, Pratesi, "Marketing" Mc Graw Hill VI edition

Detailed course structure

General Part

- Introduction to the Economics of Innovation

- Innovation and Performance: Growth, Employment, Productivity, Export, Environment

- The theoretical foundations of Science, Innovation and Technology Policies

- The role of Intellectual Property Rights

- Subsidies and tax credit for R&D

- Public policies for eco-innovation

The Italian case

- The characteristics of the Italian production system

- The role of public enterprises in the industrial development of Italy

- The Italian National Innovation System

- Industrial Policy in Italy

European Regional Policies to promote business investment in innovation activities

- Structural Funds for Cohesion Policies

- The objectives of the 2014-2020 programming period

-The effects of cohesion policies on firms’ performances

Teaching material will be available to students in a shared Dropbox folder.

Students NOT attending the course

Textbooks

Handbook of The Economics of Innovation, Vol. 2, edited by Bronwyn H. Hall and Nathan Rosenberg, Elsevier (All Chapters).

M. Mazzucato, The Entrepreneurial State: debunking public vs. private sector myths (Anthem 2013)

Students attending the course

- Handbook of The Economics of Innovation, Vol. 2, edited by Bronwyn H. Hall and Nathan Rosenberg, Elsevier (Chapters 20-21-24-25-26-27-28).

Compulsory readings (FOR ALL STUDENTS)

Amatori, F., Bugamelli, M., Colli, A. (2011). Italian firms in history: size, technology and entrepreneurship. Bank of Italy Economic History Working Papers, 13, pp. 1–53.

Antonelli C., Barbiellini Amidei F., Fassio C. (2014). The mechanisms of knowledge governance: State owned enterprises and Italian economic growth, 1950–1994. Structural Change and Economic Dynamics, Vol. 31, pp. 43-63.

Archibugi D. and Filippetti A., (2015). Knowledge as Global Public Good. In: The Handbook of Global Science, Technology, and Innovation, First Edition. Daniele Archibugi and Andrea Filippetti (eds). DOI: 10.1111/b.9781118739068.2015.00025.x.

Archibugi D. and Filippetti A., (2017). The retreat of public research and its adverse consequences on innovation. Technological Forecasting & Social Change, Article in Press. https://doi.org/10.1016/j.techfore.2017.05.022

Calvino F. and Virgillito M. E., (2017). The innovation-employment nexus: a critical survey of theory and empirics. Journal of Economic Surveys, DOI: 10.1111/joes.12190.

Cerulli, G., Poti, B., 2012. Designing ex-post assessment of corporate RDI policies: conceptualization, indicators and modeling. World Rev. Sci. Technol. Sustain. Dev. 9, 2–4.

Costantini, V., Crespi, F., (2013). Public policies for a sustainable energy sector: regulation, diversity and fostering of innovation. Journal of Evolutionary Economics, Vol. 23, pp. 401-429.

Costantini, V., Crespi, F., Martini, C., Pennacchio, L., (2015). Demand-pull and technology-push public support for eco-innovation: The case of the biofuels sector, Research Policy, Vol. 44, pp. 577-595.

Costantini V., Crespi F., Palma, A., (2017), Characterizing the policy mix and its impact on eco-innovation: a patent analysis of energy-efficient technologies, Research Policy, Vol. 46, pp. 799-819.

Costantini, V., Crespi, F., Marin, G., Paglialunga, E. (2017). Eco-innovation, sustainable supply chains and environmental performance in European industries. Journal of Cleaner Production, Vol. 155, pp. 141-154.

V Costantini, F Crespi, E Paglialunga (2018), The employment impact of private and public actions for energy efficiency: Evidence from European industries, Energy Policy 119, 250-267

V Costantini, F Crespi, E Paglialunga, G Sforna, System Transition and Structural Change Processes in the Energy Efficiency of Residential Sector: Evidence from EU Countries, SPRU Working Paper 2018.

European Commission (EC), (2014). Summary of data on the progress made in financing and implementing financial engineering instruments reported by the managing authorities in accordance with Article 67(2)(j) of Council Regulation (EC) No 1083/2006. Programming period 2007-2013 (situation as at 31 December 2013). DG Regional and Urban Policy.

European Commission (EC), (2017). European Innovation Scoreboard 2017. DG Internal Market, Industry, Entrepreneurship and SMEs.

Goldstein A., (2003). Privatization in Italy 1993 - 2002: Goals, Institutions, Outcomes, and Outstanding Issues. CESifo Working Paper Series No. 912. Available at SSRN: https://ssrn.com/abstract=396324

Guarascio D., Pianta M., Bogliacino F., (2016). Export, R&D and new products. A model and a test on European industries. Journal of Evolutionary Economics, Vol. 26 (4), pp. 869-905.

Mazzucato M. and Semieniuk G., (2017). Public financing of innovation: New questions. Oxford Review of Economic Policy, Vol. 33(1), pp. 24-48.

Munari F., Roberts E. B., Sobrero M., (2002). Privatization processes and the redefinition of corporate R&D boundaries. Research policy, Vol. 31, pp. 31-53.

OECD, (2014). Measuring Environmental Innovation Using Patent Data: Policy Relevance. ENV/EPOC/WPEI(2014)6/FINAL. OECD Publishing, Paris.

The purpose of this course is to provide students with analytical and empirical tools apt to build up an advanced and solid understanding of economic development processes. This objective will be pursued by connecting the theory to public policy issues at global level, international development cooperation and field level issues and key elements. The introduction of different approaches, and their firm connection within an interdisciplinary and critical perspective, is intended to lay the ground for the skills needed to contribute in the area of international development both at desk, field and analysis level.

I MODULE


- Introducing Economic Development: A Global Perspective

- Comparative Economic Development


- Classic Theories of Economic Growth and Development


- Contemporary Models of Development and Underdevelopment

- Poverty, Inequality, and Development


- Population Growth and Economic Development: Causes, Consequences, and Controversies

- Human Capital: Education and Health in Economic Development


- Agricultural Transformation and Rural Development


- The Environment and Development


- Development Policymaking and the Roles of Market, State, and Civil Society

- Foreign Finance, Investment, Aid, and Conflict: Controversies and Opportunities


- Finance and Fiscal Policy for Development

II MODULE

- Assumptions, Values, Initial definitions, History
- Focus: Debt/Structural Adjustment/Poverty Reduction - Policies
- State, Market, Civil Society
- Agricultural and Rural Development
- International Development Cooperation
- Agenda 2030, coherence, complexity
- Migration and Development
- Conflict and Development

Michael P. Todaro, Stephen C. Smith, Economic Development. 12th Edition. George Washington University: 2015, Pearson.Chapters 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 14, 15.
• Haslam Paul Alexander, Jessica Schafer and Pierre Beaudet, eds. Introduction to International Development: Approaches, Actors, and Issues. Second edition. Don Mills Ontario: Oxford University Press, 2012. Chapters 1, 3, 7, 9, 12, 14, 18, 22, 23.

• Sianes, A. (2017). Shedding Light On Policy Coherence for Development: A Conceptual Framework: Shedding light on Policy Coherence for Development. Journal of International Development, 29(1), 134–146. https://doi.org/10.1002/jid.2977

• Patton Michael Quinn, Developmental evaluation: applying complexity concepts to enhance innovation and use. New York: Guilford Press, 2011. Chapter 4.

- Knowledge-based economy and Digital Economy. Fundamentals of the Knowledge-based Economy
- Why is Knowledge the primary productive factor? Data, information, knowledge, (wisdom).
- What is knowledge? Value Drivers in Knowledge Economy
- What is knowledge management?
- Taxonomy and Dimensions of Knowledge
- Knowledge and creativity
- KM and Big Data
- Experience and knowledge
- platform organizations
- Knowledge-intensive and Learning Organizations
- Knowledge, networks, and trust
- The impact of knowldege-based issues on firm performances
- Open Innovation definition. Open Social Innovation definition

Marchegiani L. (2012) Information, Knowledge, Attention: ICTs and Innovative Organizations. LAP Publishing.
Newell S., Robertson M., Scarbrough H., Swan J. (2009) Managing Knowledge Work and Innovation. Palgrave.

Part I: Introduction to data analysis and exploratory tecniques
- Data frames
- Cluster analysis
- Principal component analysis

Part 2: Normal linear regression and its generalizations
- Polynomial regression
- Multiple regression
- Logistic and multinomial regression
- Beta regression
- Poisson and negative binomial regression

Part 3: Panel data analysis
- Balanced and unbalanced panel, micro and macro panel
- Modeling the level of the dependent variable
- Modeling change of the dependent variable
- Fixed effects and random effects models for categorical variables and continuous variables

Chatterjee, S. and Hadi, A.S. (2012), Regression Analysis by Example, 5th Edition, Wiley. Chapters: 1, 2, 3 (excluding 3.9), 4 (excluding 4.3, 4.9.2, 4.9.3, 4.10, 4.12, 4.13, 4.14), 5 (excluding 5.6 and 5.7), 6 (excluding 6.6 and 6.7), 9, 11, 12 (excluding 12.8.3 and 12.8.4), 13 (excluding 13.5, 13.6, 13.7).

Fox,J. and Weisberg, S. (2010), An R companion to applied regression, 2nd Edition, SAGE publications
Inc.

Andreb, H-J, Golsch, K., Schmidt, A.W. (2013), Applied panel data analysis for economic and social
surveys, Springer. Chapters: 1, 2, 3, 4

1. Sustainable Development, Global Economy and Social Rights: why we need a linkage

2. The International Labour Organization and International Labour Standards

3. The European Union and Employment Law

4. International and European Trade Agreements

5. Case study: a focus on U.S.A., Mexico, Canada, Australia, Brazil, China, Japan, India France, Germany, UK, Eastern EU countries, Italy

6. Conflicts of laws in employment contracts, social security systems and industrial relations

7. Social Clauses, Codes of Conduct and CSR: an evolutionary perspective

Servais J.M., International Labour Law, Fifth edition, Wolters Kluwer International, 2017. Supplementary and up-to-date information and materials will be provided on-line to the students

Module 1

- Introduction to spatial data models
- Introductions to database management systems
- Geographic Information Systems and their applications
- Remote Sensing and its applications
- Geospatial databases: how, where and when
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Generating new spatial information
- Mapping and representing socio-economic and environmental information
- Modelling spatial phenomena
- Working with spatio-temporal scenarios

de By, R.A (ed.) (2001): Principles of Geographic Information Systems. An introductory textbook, ITC. Educational Textbook Series 1, Enschede.
Chapters: 1, 2, 3, 5, 6

Martínez, J.A., Pfeffer, K. and Baud, I. (2016): Factors shaping cartographic representations of inequalities: maps as products and processes, Habitat International: A Journal for the Study of Human Settlements, 51 (2016) pp. 90-102.

ISTAT (2015) La nuova geografia dei sistemi locali, on-line: http://www.istat.it/it/archivio/172444
ISTAT (2014) Rapporto BES, on-line: www.istat.it/it/archivio/126613

The course aims at providing students with the quantitative methods for the economic and policy analysis. The course is structured in three modules, each of them covers different concepts and methods with a quantitative applied approach:
Module 1: Geospatial information for socio-economic and environmental analysis (20h)
- Geographic Information Systems, Remote Sensing and their applications
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Modelling spatial phenomena
Module 2: Counterfactual evaluation of public policies ex-post impact (20h)
- Impact assessment of public policies
- Theoretical framework of counterfactual evaluation
- Models: Matching, Difference-in-differences, Regression discontinuity; Synthetic control
- Empirical applications: different methods for different policies
Module 3: CGE models for ex-ante climate and energy policy impact evaluation (20h)
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model, formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Applications: tradable pollution permits; carbon tax; climate change and climate negotiation

- Introduction to spatial data models
- Introductions to database management systems
- Geographic Information Systems and their applications
- Geospatial databases: how, where and when
- Retrieving and using socio-economic and environmental spatial data
- Defining and applying specific spatial data models
- Generating new spatial information
- Mapping and representing socio-economic and environmental information
- Modelling spatial phenomena
- Working with spatio-temporal scenarios


Module 2

- Introduction to the impact assessment of public policies
- Theoretical framework of counterfactual evaluation
- Overview of the principal methods: Matching; Difference-in-differences; Regression discontinuity designs; Synthetic control
- Elements of a counterfactual evaluation: conditions for the as good as random scenario; identification strategy; model; testing the validity; robustness
- Implementation of counterfactual evaluation in practice (e.g., evaluating the impact of the European regional policy on growth and employment via Regression Discontinuity Design)


Module 3

- Introduction to dynamic general equilibrium modelling for environmental policy analysis
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model: regional and sector aggregation, timing, calibration and sensitivity
- Formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Modelling tradable pollution permits
- Modelling carbon taxes
- Modelling EU energy and climate policy mix
- Modelling international climate negotiation
- Modelling the cost of climate change

Module 1:
de By, R.A (ed.) (2001): Principles of Geographic Information Systems. An introductory textbook, ITC. Educational Textbook Series 1, Enschede. Chapters: 1, 2, 3, 5, 6
Martínez, J.A., Pfeffer, K. and Baud, I. (2016): Factors shaping cartographic representations of inequalities: maps as products and processes, Habitat International: A Journal for the Study of Human Settlements, 51 (2016) pp. 90-102.

Module 2:
Angrist, J. and Pischke, J.S. (2009): Mostly harmless econometrics, Princeton University Press, NJ;
Blundell, R. and Costa-Dias, M. (2009): Alternative Approaches to Evaluation in Empirical Microeconomics, Journal of Human Resources, 44(3).
Dell, M. (2010): The Persistent Effects of Peru's Mining Mita, Econometrica,78, 1863–1903.

Module 3:
Burfisher, M. (2017). Introduction to Computable General Equilibrium Models. Cambridge: Cambridge University Press. Chapters: 1, 2, 3, 4, 5, 6.
Burniaux, Jean-Marc and Truong, Truong P. (2002). GTAP-E: An Energy-Environmental Version of the GTAP Model" (2002). GTAP Technical Papers 18.
Antimiani et al. (2017). The Green Climate Fund as an effective compensatory mechanism in global climate negotiations. Environmental Science and Policy, 77, pp. 49-68.

Notes and lab materials for attending students will be provided at the beginning of each module.

Module 3

- Introduction to dynamic general equilibrium modelling for environmental policy analysis
- Model structure, overview of CGE-based analysis and data requirement
- Designing the model: regional and sector aggregation, timing, calibration and sensitivity
- Formulating scenarios and running policy simulations
- Reporting and interpreting the results
- Modelling tradable pollution permits
- Modelling carbon taxes
- Modelling EU energy and climate policy mix
- Modelling international climate negotiation
- Modelling the cost of climate change

Burfisher, M. (2017).Introduction to Computable General Equilibrium Models. Cambridge: Cambridge University Press. doi:10.1017/9781316450741
Chapters: 1, 2, 3, 4, 5, 6

Section 1: The research process
- Marketing process
- Market research
- Knowledge management
- Marketing information system
- Design market research process

Section 2: Qualitative research
- Qualitative traditional techniques
- Focus group
- In-depth interview
- Mystery shopping
- Qualitative data analysis

Section 3: Quantitative research
- Designing a questionnaire
- Multiple-items scales
- Reliability and validity analyses
- Survey
- Market segmentation analysis: factor & cluster analyses
- Market positioning analysis: discriminant analysis & correspondence analysis

Section 4: Final report presentation
- Improving communication skills
- Market research innovative approaches
- Preliminary field project presentation and subsequent tuning
- Definitive field project presentation

Malhotra N.K. 2015. Essentials of Marketing Research. An Applied Orientation, 1st Ed., Pearson.

Lecture slides, additional teaching material and assignments will be downloadable from a folder in OneDrive. Access will be provided to students.

The course is divided in two parts. The first considers both the predictions of the Neoclassical trade theory (i.e., the Ricardian Model and the Heckscher-Ohlin Model) and the new trade models with imperfect competition, including the most recent developments related to firm-level evidence. The second part discusses the effects and the political economy determinants of trade policy. International agreements multilateral trade liberalization and on regional trade liberalization will be also discussed.
The course considers both the theories and recent empirical works, as well as a discussion of the relevant methodological issues in measurement and estimation.

Course Outline

The outline below includes the main topics will be dealt with in the course. It is arranged for the most part in the typical order in which course will be taught. The order can be changed as appropriate to meet the instructor’s objectives, including coverage of additional content.

Main topics include:

Section 1: International trade: stylized facts

Facts, changes and history of globalization
New players: Emerging economies

Section 2: Trade theories

The Absolute and Comparative Advantage
The Ricardian Model
Factor endowments and the Heckscher-Ohlin Model
The New Trade Theories
Firm Heterogeneity

Section 3: Trade policy

Import Tariffs and Quotas
Export subsidies and taxes
Measuring trade protection
Non-tariff barriers
Political economy of trade policy
Multilateral trade integration: the World Trade Organization
Regional trade integration: trade creation and trade diversion

Section 4: Empirical lab sessions

Trade and trade policies data sources
Working with trade data

Teaching material:
- Lecture slides and other teaching material will be downloadable from the course website.
Textbook:
- International Trade, R. C. Feenstra and A.M Taylor, Third Edition, 2014, Worth MacMillan.
Readings:
- Some topics rely on journal articles and papers.

Course Learning Objectives and Skill Acquisition
This course consists in two modules. The first deals with basic concepts in Energy Economics as the distribution of sources and consumption patterns at the geographical level, the analysis of demand and supply of different energy sources and the use of energy by sectors. World energy outlook scenarios are deeply investigated. The second part of the course allows students gathering main analytical tools to consider jointly energy issues and climate change impacts. The economic analysis of policy impacts over the long term and burden sharing issues in the international bargaining process are also analyzed. At the end of the course students will be able to understand global energy and climate reports, conduct their own impact analysis and be familiar with main simulation models.

Assessment
The course assessment will be based on two small dissertations that the students will write and present after the end of each part of the course, one on Energy Economics and one on Climate Policy issues, and on a final written exam formed by 5 open questions.

Course general schedule
Part I: Energy Economics
1. World Energy Outlook
2. Energy security and energy poverty
2. Fossil fuels economics
3. Energy price mechanisms
4. Alternative energy sources and clean energy technologies
Part II: Climate Change Policy
5. The science of climate change
6. Climate change impacts
7. Vulnerability and adaptation
8. Mitigation policies
7. The European low-carbon strategy

Detailed Teaching Agenda
Lecture #1: Introduction, practical information, data collection of participants
Part I: Energy Economics
Lecture #2: Introduction to the energy markets, composition of the energy mix
Lecture #3: Demand and supply, peculiarities of the energy markets
Lecture #4: How to read an energy balance: dimensions, sectors, sources
Lecture #5: Global energy markets and scenario building
Lecture #6: Energy price mechanisms: substitution elasticities
Lecture #7: Energy price mechanisms: the rebound effect
Lecture #8: Energy security and energy poverty
Lecture #9: Renewable sources: introduction and taxonomy
Lecture #10: Renewable sources: technological innovation and policy support
Lecture #11: The biofuels case: pros and cons of an eco-innovation
Lecture #12: Energy efficiency and policy support
Lecture #13: The EU Energy strategy: targets and policy instruments
Lecture #14: Dissertation on Energy Economics (Part I of the course, intermediate assessment)
Lecture #15: Dissertation on Energy Economics (Part I of the course, intermediate assessment)
Part II: Climate Change Policy
Lecture #16: The science of climate change
Lecture #17: Climate change impacts and economic damage
Lecture #18: Vulnerability and adaptation concepts
Lecture #19: The international institutional architecture for climate change
Lecture #20: Political bargaining at the international and level
Lecture #21: Mitigation actions and policy instruments
Lecture #22: The Emission Trading System and the EU experience
Lecture #23: The linkages between mitigation and economic performance
Lecture #24: Flexible mechanisms and developing countries
Lecture #25: The EU long-term low-carbon strategy
Lecture #26: Scenario building and policy impact evaluation
Lecture #27: The case of the EU long-term low-carbon strategy
Lecture #28: The case of the Green Climate Fund
Lecture #29: Dissertation on Climate Change Policy (Part II of the course, intermediate assessment)
Lecture #30: Dissertation on Climate Change Policy (Part II of the course, intermediate assessment)

Teaching material will be available to students in a dedicated Dropbox folder.
Textbooks (available in the corresponding folders for Lecture number)
Bhattacharyya S.C. (2011), Energy Economics: Concepts, Issues, Markets and Governance, UK: Springer-Verlag. Chapters: 1, 2, 3 (pp. 41-61), 4 (pp.77-81), 5 (sect. 5.1.1-5.1.5), 6 (excl. 6.5), 7 (Appendix excluded for all chapters).
IEA (International Energy Agency) (2017), World Energy Outlook 2017. Chapters: 1-2-3-4-5-6-7.
IEA (International Energy Agency) (2016), Energy Efficiency Indicators. (pages 5-10).
IPCC (2014), Climate Change 2014 – Synthesis Report. (pages 1-31).
IPCC (2014), Climate Change 2014 – Impacts, Adaptation and Vulnerability Part A. (pages 1-32).
IPCC (2014), Climate Change 2014 – Mitigation of Climate Change (pages 41-107).
Tol R.S.J. (2014), Climate Economics: Economic Analysis of Climate, Climate Change and Climate Policy, Edward Elgar Publ. Chapters: 1,2,3,4,5,6.