University of Groningen Effects of energy- and climate ...References 162 Bonfiglio, A. (2009) On the...
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University of Groningen
Effects of energy- and climate policy in GermanyTöbben, Johannes
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References
161
References
Albala-Bertrand, J.M. (2013) Disasters and the Networked Economy. Oxon, UK: Routledge.
Anderson, C.W., J.R. Santos & Y.Y. Haimes (2007) A risk-based input-output methodology for
measuring the effects of the August 2003 Northeast blackout. Economic Systems Research,
19:2, 183-204.
Arndt, C., S. Robinson & F. Tarp (2002) Parameter Estimation for a Computable General Equilibrium
Model: A Maximum Entropy Approach. Economic Modelling, 19:3, 375–398.
Almon, C. (2000) Product-to-product tables via product-technology with no negative flows. Economic
Systems Research, 12:1, 27-43.
Arversen, A., C. Birkeland & E. G. Hertwich (2013) The Importance of Ships and Spare Parts in
LCAs of Offshore Wind Power. Environmental Science and Technology, 47:6, 2948-2956.
Bachmann C., M. J. Roorda & C. Kennedy (2015) Developing a Multi-Scale Multi-Region Input–
Output Model. Economic Systems Research, 27:2, 172-193.
Baldwin, R. & J. Harrigan (2011) Zeros, Quality, and Space: Trade Theory and Trade Evidence.
American Economic Journal: Microeconomics, 3:2, 60-88.
Bardt, H. & J. Niehues (2013) Verteilungswirkungen des EEG. Zeitschrift für Energiewirtschaft, 37:3,
211-218.
Batey, P. W. & M. Madden (1999) Interrelational Employment Multipliers in an Extended Input-
Output Modeling Framework. In: G. J. D. Hewings, M. Sonis, M. Madden & Y. Kimura (eds)
Understanding and Interpreting Economic Structure, Springer, Berlin, Heidelberg, D, 73-89.
Batten, D. F. (1983) Spatial Analysis of Interacting Economies. Kluwer Nijhoff Publishing, Boston,
MA, USA.
Batty, M. (1974) Spatial entropy. Geographical analysis, 6:1, 1-31.
Bazzazan, F. & P. Batey (2003) The Development and Empirical Testing of Extended Input-Output
Price Models. Economic Systems Research, 15:1, 69-86.
BDEW–Bundesverband der Energie-und Wasserwirtschaft eV (2012) Erneuerbare Energien und das
EEG: Zahlen. Fakten, Grafiken (2011). http://www.windkraft-journal.de/2012/01/16/bdew-
energie-info-erneuerbare-energien-und-das-eeg-zahlen-fakten-grafiken-2011/11608
BMWi – Bundesministerium für Wirtschaft und Energie (2015) Die Energie der Zukunft - Vierter
Monitoringbericht zur Energiewende. https://www.bmwi.de/BMWi/Redaktion/PDF/V/vierter-
monitoring-bericht-energie-der-zukunft,property=pdf,bereich=bmwi2012,sprache=de,
rwb=true.pdf
Bon, R. (1988) Supply-Side Multiregional Input-Output Models. Journal of Regional Science, 28:1,
41-50.
References
162
Bonfiglio, A. (2009) On the parameterization of techniques for representing regional economic
structures. Economic Systems Research, 21:2, 115-127.
Bonfiglio, A. & F. Chelli (2008) Assessing the behaviour of non-survey methods for constructing
regional input–output tables through a Monte Carlo simulation. Economic Systems Research,
20:3, 243-258.
Boomsma, P. & J. Oosterhaven (1992) A Double‐entry Method for the Construction of Bi‐regional
Input‐Output Tables. Journal of Regional Science, 32:3, 269-284.
Bouwmeester, M. C. & J. Oosterhaven (2009) Methodology for the construction of an international
supply-use table. Paper presented at the 17th International Input-Output Conference, Sao
Paulo, Brazil, July 13-17.
Bouwmeester, M. C., J. Oosterhaven and J. M. Rueda-Cantuche (2014) A new SUT Consolidation
Method tested by a Decomposition of Value Added and CO 2 embodied in EU27 Exports.
Economic Systems Research, 26:4, 511-541.
Butler, L. & K. Neuhoff (2008) Comparison of feed-in tariff, quota and auction mechanisms to
support wind power development. Renewable Energy, 33:8, 1854-1867.
Caggiani, L., M. Ottomanelli & M. Dell‘Orco (2014) Handling uncertainty in Multi Regional Input-
Output models by entropy maximization and fuzzy programming. Transportation Research
Part E, 71, 159–172.
Carerra, L., G. Standardi, F. Bosello & J. Mysiak (2015) Assessing direct and indirect economic
impacts of a flood event through the integration of spatial and computable general equilibrium
modelling. Environmental Modelling & Software, 63: 109-122.
Casler, S. D. & A. Rafiqui (1993) Evaluating fuel tax equity: direct and indirect distributional effects.
National Tax Journal, 46:2, 197-205.
Cazcarro, I., R. Duarte & J. Sánchez Chóliz (2013) Multiregional Input–Output Model for the
Evaluation of Spanish Water Flows. Environmental Science & Technology, 47:21, 12275-
12283.
Chenery, H. B. (1953) Regional Analysis. In: H. B. Chenery, P. G. Clark & V. C. Pinna (Eds) The
Structure and Growth of the Italien Economy. U. S. Mutual Security Agency, Rome, 76-96.
Cloutier, M. L. & P. J. Thomassin (1994) Closing the Canadian Input–Output Model: Homogeneous
vs Non-homogeneous Household Sector Specifications. Economic Systems Research, 6:4,
397-414.
De Mesnard, L. (2004) Understanding the shortcomings of commodity-based technology in input-
output models: an economic-circuit approach. Journal of Regional Science, 44:1, 125-141.
Dietzenbacher, E. (1997) In vindication of the Ghosh model: A reinterpretation as a price model.
Journal of Regional Science, 37:4, 629-651.
Dietzenbacher, E. & M. L. Lahr (2013) Expanding Extractions. Economic Systems Research, 25:3,
341-360.
References
163
Dietzenbacher, E., B. Los, R. Stehrer, M. Timmer & G. De Vries. (2013) The Construction of World
Input–Output Tables in the WIOD Project. Economic Systems Research, 25:1, 71-98.
Dietzenbacher, E. & R.E. Miller (2015) Reflections on the Inoperability Input-Output Model.
Economic Systems Research, 27:4, 478-486.
Eding, G., J. Oosterhaven, B. De Vet & H. Nijmeijer (1999) Constructing Regional Supply and Use
Tables: Dutch Experiences. In: G. J. D. Hewings, M. Sonis, M. Madden & Y. Kimura (eds)
Understanding and Interpreting Economic Structure, Springer, Berlin, Heidelberg, D, 73-89.
Eurostat (2008) Eurostat Manuel of Supply, Use and Input-Output Tables (Manual No. KS-RA-07-
013-EN-N).
Fernandez-Vazquez, E. (2015) Empirical Estimation of non-linear Input-Output Models: An Entropy
Econometrics Approach. Economic Systems Research, 27:4, 508-524.
Flegg, A. T., Y. Huang & T. Tohmo (2015) Using CHARM to adjust for Cross-Hauling: The Case of
the Province of Hubei, China. Economic Systems Research, 27:3, 391-413.
Flegg, A. T. & T. Tohmo (2013a) A Comment on Tobias Kronenberg‘s ―Construction of Regional
Input-Output Tables Using Nonsurvey Methods: The Role of Cross-Hauling‖. International
Regional Science Review, 36:2, 235-257.
Flegg, A. T. & T. Tohmo (2013b) Regional Input–Output Tables and the FLQ Formula: A Case Study
of Finland. Regional Studies, 47:5, 703-721.
Flegg, A. T. & T. Tohmo (2016) Estimating Regional Input Coefficients and Multipliers: The Use of
FLQ is Not a Gamble. Regional Studies, 50:2, 310-325.
Flegg, A. T. & C. D. Webber (1997) On the Appropriate Use of Location Quotients in Generating
Regional Input‐Output Tables: Reply. Regional Studies, 31:8, 795-805.
Flegg, A. T. & C. D. Webber (2000) Regional size, regional specialization and the FLQ formula.
Regional Studies, 34:6, 563-569.
Flegg, A. T., C. D. Webber & M. V. Elliott (1995) On the appropriate use of location quotients in
generating regional input–output tables. Regional Studies, 29:6, 547-561.
Frondel, M., N. Ritter, C. M. Schmidt & C. Vance (2010) Economic impacts from the promotion of
renewable energy technologies: The German experience. Energy Policy, 38:8, 4048-4056.
Gallego, B. & M. Lenzen (2009) Estimating Generalised Regional Input–Output Systems: A Case
Study of Australia. In: M. Ruth & D. Brynhildur (eds) The dynamics of regions and networks
in industrial ecosystems, Edward Elgar, Cheltenham, UK, Northhampton, MA, USA, 55-82.
Geschke, A., M. Lenzen, K. Kanemoto & D. Moran (2011) AISHA: A tool to construct a series of
contingency tables. Paper presented at the 19th International Input-Output Conference,
Alexandria, USA June 13-17.
Gilchrist, D. & L. V. St. Louis (1999) Completing Input-Output Tables Using Partial Information with
an Application to Canadian Data. Economic Systems Research, 11:2, 185-193.
References
164
Golan, A. (2006) Information and Entropy Econometrics – A Review and Synthesis. Foundations and
Trends in Econometrics, 2:1-2, 1-145.
Golan, A., G. Judge & S. Robinson (1994) Recovering information from incomplete or partial
multisectoral economic data. Review of Economics and Statistics, 76:3, 541–549.
Golan, A., G. Judge & D. Miller (1996) Maximum Entropy Econometrics: Robust Estimation with
Limited Data. John Wiley & Sons, Chichester, UK.
Grösche, P. & C. Schröder (2014) On the redistributive effects of Germany‘s feed-in tariff. Empirical
Economics, 46:4, 1339-1383.
Ham, H., T. J. Kim b & D. Boyce (2005) Implementation and estimation of a combined model of
interregional, multimodal commodity shipments and transportation network flows.
Transportation Research Part B, 39, 65–79.
Hallegate, S (2008) An adaptive regional input-output model and its application to the assessment of
the economic cost of Katrina. Risk Analysis, 28:3, 779-799.
Hallegate, S. & M. Ghil (2008) Natural disasters impacting a macroeconomic model with endogenous
dynamics. Ecological Economics, 68:1-2, 582-592.
Hamilton, K. & G. Cameron (1994) Simulating the distributional effects of a Canadian carbon tax.
Canadian Public Policy, 20:4, 385-399.
Harris, R. I. & A. Liu (1998) Input‐output modelling of the urban and regional economy: the
importance of external trade. Regional Studies, 32:9, 851-862.
Hillebrand, B., H. G. Buttermann, J. M. Behringer & M. Bleuel (2006) The expansion of renewable
energies and employment effects in Germany. Energy Policy, 34:18, 3484-3494.
Huang, W., S.K. Kobayashi & H. Tanji (2008) Updating an input-output matrix with sigh-
preservation: Some improved objective functions and their solutions. Economic Systems
Research, 20:1, 111-23.
Intergovernmental Panel on Climate Change (2013) Climate Change 2013: The physical science basis.
Contribution of working group I to the fifth assessment report of the Intergovernmental Panel
on Climate Change (IPCC).
Isard, W. (1951) Interregional and regional input-output analysis: a model of a space-economy. The
Review of Economics and Statistics, 33:4, 318-328.
Isard, W. (1953) Regional commodity balances and interregional commodity flows. American
Economic Review, 43:2, 167-180.
Isard, W., I. J. Azis, M. P. Drennan, R. E. Miller, S. Saltzman & E. Thorbecke (1998) Methods of
interregional and regional analysis. Ashgate, Aldershot, UK.
Isserman, A. M. (1980) Estimating export activity in a regional economy: A theoretical and empirical
analysis of alternative methods. International Regional Science Review, 5:2, 155-184.
Jackson, R. W. (1998) Regionalizing national commodity-by-industry accounts. Economic Systems
Research, 10:3, 223-238.
References
165
Jackson, R. W. (2014) Cross-Hauling in Input-Output Tables: Comments on CHARM. Working Paper
2014-02, Regional Research Institute, West Virginia University. http://rri.wvu.edu.
Jackson, R. W. & W. R. Schwarm (2011) Accounting foundations for interregional commodity-by-
industry input-output models. Letters in Spatial and Resource Sciences, 4:3, 187-196.
Jackson, R. W., W. R. Schwarm, Y. Okuyama & S. Islam (2006) A method for constructing
commodity by industry flow matrices. The Annals of Regional Science, 40:4, 909-920.
Jansen, P. K. & T. T. Raa (1990) The choice of model in the construction of input-output coefficients
matrices. International Economic Review, 31:1, 213-227.
Jaynes, E. T. (1957) Information Theory and Statistical Mechanics. The Physical Review, 106:4, 620-
630.
Jensen, R. C. (1980) The concept of accuracy in regional input-output models. International Regional
Science Review, 5:2, 139-154.
Johnson, R. C. (2012) Trade and prices with heterogeneous firms. Journal of International Economics,
86:1, 43-56.
Joshi, S. (1999) Product Environmental Life Cycle Assessment Using Input-Output Techniques.
Journal of Industrial Ecology, 3:2-3, 95-120.
Junius, T. & J. Oosterhaven (2003) The Solution of Updating or Regionalizing a Matrix with both
Positive and Negative Entries. Economic Systems Research, 15:1, 87-96.
Kim, T. J., D. E. Boyce & G. J. Hewings (1983) Combined Input‐Output and Commodity Flow
Models for Interregional Development Planning: Insights from a Korean Application.
Geographical Analysis, 15:4, 330-342.
Koks, E.E., L. Carrerra, O. Jonkeren, J. Aerts, J.C.J.H. Husby, M. Thissen, G. Standardi & J. Mysiak.
(2015) Regional disaster impact analysis: comparing input-output and computable general
equilibrium models. Natural Hazards and Earth Systems Sciences Discussions, 3:11, 7053-
7088.
Koks, E.E. & M. Thissen (2016) A MultiRegional Impact Assessment (MRIA) Model for Disaster
Analysis. Economic Systems Research, forthcomming.
Kowalewski, J. (2015) Regionalization of National Input–Output Tables: Empirical Evidence on the
Use of the FLQ Formula. Regional Studies, 49:2, 240-250.
Kronenberg, T. (2009) Construction of Regional Input-Output Tables Using Nonsurvey Methods: The
Role of Cross-Hauling. International Regional Science Review, 32:1, 40-64.
Kronenberg, T. (2012) Regional input-output models and the treatment of imports in the European
System of Accounts (ESA). Jahrbuch für Regionalwissenschaft, 32:2, 175-191.
Kronenberg, T. & J. Többen (2011) Regional input-output modelling in Germany: The case of North
Rhine-Westphalia. Paper presented at the IV Spanish Conference on Input-Output Analysis,
Madrid, Spain, September 28-30.
References
166
Kronenberg, T. & J. Többen (2013) Über die Erstellung regionaler Input-Output-Tabellen und die
Verbuchung von Importen. In: IWH (eds) Neuere Anwendungsfelder der Input-Output-
Analyse. Beiträge zum Halleschen Input-Output-Workshop 2012, IWH, Halle (Saale), D.
Kockelman, K. M., J. Ling, Y. Zhao & N. Ruiz-Juri (2005) Tracking land use, transport and industrial
production using random utility-based multiregional input–output models: application for
Texas trade. Journal of Transport Geography,13, 275–286.
Kullback, J. (1959) Information Theory and Statistics. John Wiley & Sons, New York, NY, USA.
S. Kullback, & R. A. Leibler (1951) On information and sufficiency. Annals of Mathematical
Statistics, 22:1, 79–86.
Lahr, M. L. (1993) A review of the literature supporting the hybrid approach to constructing regional
input–output models. Economic Systems Research, 5:3, 277-293.
Lahr, M. L. (2001) Reconciling domestication techniques, the notion of re-exports and some
comments on regional accounting. Economic Systems Research, 13:2, 165-179.
Lahr, M. & L. de Mesnard (2004) Biproportional Techniques in Input-Output Analysis: Table
Updating and Structural Analysis. Economic Systems Research, 16:2, 115-134,
Langniß, O., J. Diekmann & U. Lehr (2009) Advanced mechanisms for the promotion of renewable
energy—Models for the future evolution of the German Renewable Energy Act. Energy
Policy, 37:4, 1289-1297.
Lehmann, H. (2004) Die Modellierung der Konsumausgaben privater Haushalte auf der Grundlage
repräsentativer Einkommens-und Verbrauchsstatistiken. Nomos Verlagsgesellschaft, Baden-
Baden.
Lehr, U. & T. Drosdowski (2015) Soziale Verteilungswirkungen der EEG-Umlage unter
Berücksichtigung von Einkommensklassen. GWS Discussion Paper 2015/1, GWS Osnabrück.
http://www.gws-os.com/discussionpapers/gws-paper15-1.pdf.
Lehr, U., C. Lutz & D. Edler (2012) Green jobs? Economic impacts of renewable energy in Germany.
Energy Policy, 47, 358-364.
Lehr, U., C. Lutz, D. Edler, M. O‘sullivan, K. Nienhaus, J. Nitsch, B. Breitschopf, P. Bickel & M.
Ottmüller (2011) Kurz- und langfristige Auswirkungen des Ausbaus der erneuerbaren
Energien auf den deutschen Arbeitsmarkt. Studie im Auftrag des Bundesministeriums für
Umwelt, Naturschutz und Reaktorsicherheit (BMU), Osnabrück, Stuttgart, Berlin.
Lehr, U., J. Nitsch, M. Kratzat, C. Lutz & D. Edler (2008) Renewable energy and employment in
Germany. Energy Policy, 36:1, 108-117.
Lehtonen, O. & M. Tykkyläinen (2014) Estimating Regional Input Coefficients and Multipliers: Is the
Choice of a Non-Survey Technique a Gamble? Regional Studies, 48:2, 382-399.
Leigh, R. (1970) The use of location quotients in urban economic base studies. Land Economics, 46:2,
202-205.
References
167
Lenzen, M., B. Gallego & R. Wood (2009) Matrix balancing under conflicting information. Economic
Systems Research, 21:1, 23-44.
Lenzen, M., A. Geschke, T. Wiedmann, J. Lane, N. Anderson, T. Baynes, J. Boland, P. Daniels, C.
Dey & J. Fry (2014) Compiling and using input–output frameworks through collaborative
virtual laboratories. Science of The Total Environment, 485-486, 241-251.
Lenzen, M., K. Kanemoto, D. Moran & A. Geschke (2012a) Mapping the Structure of the World
Economy. Environmental Science & Technology, 46:15, 8374-8381.
Lenzen, M., D. Moran, K. Kanemoto, B. Foran, L. Lobefaro & A. Geschke (2012b) International trade
drives biodiversity threats in developing nations. Nature, 486, 109-112.
Lenzen, M., D. Moran, K. Kanemoto & A. Geschke (2013) Building EORA: A Global Multi-Region
Input–Output Database at High Country and Sector Resolution. Economic Systems Research,
25:1, 20-49.
Lenzen, M. & J. M. Rueda-Cantuche (2012) A note on the use of supply-use tables in impact analyses.
Statistics and Operation Research Transactions, 36:2, 139-152.
Leontief, W. (1941) Structure of the American Economy, 1919–1929. Harvard University Press,
Cambridge, USA.
Leontief, W. (1973) Structure of the World Economy - Outline of a Simple Input-Output Formulation.
Nobel Memorial Lecture, December 11, 1973.
Leontief, W. & A, Strout (1963) Multi-regional Input-Output Analysis. In: T. Barna (eds) Structural
Interdependence and Economic Development. Palgrave Macmillan, UK, 119-150.
Lesser, J. A. & X. Su (2008) Design of an economically efficient feed-in tariff structure for renewable
energy development. Energy Policy, 36:7, 981-990.
Li, J., D. Crawford-Brown, M. Syddall & D. Guan (2013) Modeling imbalanced economic recovery
following a natural disaster using input-output analysis. Risk Analysis, 33:10, 1908-1923.
Lian, C. & Y.Y. Haimes (2007) Managing the risk of terrorism to interdependent infrastructure
systems through the dynamic inoperability input-output model. Systems Engineering, 9, 241-
258.
Liang, Q.-M., Y. Fan & Y.-M. Wei (2007) Multi-regional input–output model for regional energy
requirements and CO2 emissions in China. Energy Policy, 35:3, 1685-1700.
Llano, C., E. Almudena, J. Perez & A. Pulido (2010) Opening the Interregional Trade ‗‗Black Box‘‘:
The C-Intereg Database for the Spanish Economy (1995–2005). International Regional
Science Review, 33:3, 302-337.
MacKenzie, C.A., J.R. Santos & K. Barker (2012) Measuring changes in international production from
a disruption: Case study of the Japanese earthquake and tsunami. International Journal
Production Economics, 138: 293-302.
Madsen, B. & C. Jensen-Butler (1999) Make and use approaches to regional and interregional
accounts and models. Economic Systems Research, 11:3, 277-300.
References
168
Majeau-Bettez, G., R. Wood & A. H. Strømman (2016) On the financial balance of input–output
constructs: revisiting an axiomatic evaluation. Economic Systems Research, 28:3, 333-343.
Malik, A., M. Lenzen, R. N. Ely &d E. Dietzenbacher (2014) Simulating the impact of new industries
on the economy: The case of biorefining in Australia. Ecological Economics, 107, 84-93.
Maron, H., H. Klemisch & B. Maron (2011) Marktakteure Erneuerbare-Energien-Anlagen in der
Stromerzeugung. Klaus Novy Institut/trend: research.
Merciai, S. & R. Heijungs (2014) Balance issues in monetary input-output tables. Ecological
Economics, 102, 69-74.
Miller, R. and Peter, B. (2009) Input-Output Analysis: Foundation and Extensions. Cambridge
University Press, New York.
Miyazawa, K. (1968) Input-output analysis and interrelational income multiplier as a matrix.
Hitotsubashi Journal of Economics, 8:2, 39-58.
Miyazawa, K. & S. Masegi (1963) Interindustry Analysis and the Structure of Income‐Distribution.
Metroeconomica, 15:2, 89-103.
Moses, L. N. (1955) The stability of interregional trading patterns and input-output analysis. The
American Economic Review, 45:5, 803-826.
Munich Re, (2014) Natural Catastrophes 2013: Analyses, Assessments, Positions. 2014 Issue of
Topics GEO.
Neuwahl, F., A. Löschel, I. Mongelli & L. Delgado (2008) Employment Impacts of EU Biofuels
Policy: Combining Bottom-up Technology Information and Sectoral Market Simulations in an
Input-Output Framework, Ecological Economics, 68:1-2, 447-460.
Nijkamp, P. (1975) Reflections on Gravity and Entropy Models. Regional Science and Urban
Economics, 5, 203-225.
Nitsch, V. (2000) It‘s not right, but it‘s okay: On the measurement of intra-and international trade
distances. Bankgesellschaft Berlin. http://www.vwl2.wi.tu-darmstadt.de/media/vwl2/pdfs/01-
05-30.pdf.
Norcliffe, G. (1983) Using location quotients to estimate the economic base and trade flows. Regional
Studies, 17:3, 161-168.
O‘brien, R. (2007) A Caution Regarding Rules of Thumb for Variance Inflation Factors. Quality &
Quantity, 41:5, 673-690.
Okuyama, Y. & J. R. Santos. (2014) Disaster Impact and Input-Output Analysis. Economic Systems
Research, 26:1, 1-12.
Oosterhaven, J. (1981a) Interregional input-output analysis and Dutch regional policy problems.
Aldershot: Gower Publishing Company Limited, Hamshire, UK.
Oosterhaven, J. (1981b) Export Stagnation and Import Price Inflation in an Interregional Input-Output
Model. In: Buhr, W. and Friederich, P. (eds) Regional Development under Stagnation. Nomos
Verlagsgesellschaft, Baden-Baden, D, 124-147.
References
169
Oosterhaven, J. (1984) A family of square and rectangular interregional input-output tables and
models. Regional Science and Urban Economics, 14:4, 565-582.
Oosterhaven, J. (1988) On the plausibility of the supply-driven input-output model. Journal of
Regional Science, 28:2, 203-17.
Oosterhaven, J. (1996) Leontief versus Ghoshian Price and Quantity Models. Southern Economic
Journal, 62:3, 750-759
Oosterhaven, J. (2005) Spatial interpolation and disaggregation of multipliers. Geographical Analysis,
37:1, 69-84.
Oosterhaven, J. (2012) Adding supply-driven consumption makes the Ghosh model even more
implausible. Economic Systems Research, 24:1, 101-11.
Oosterhaven, J. (2015) On the doubtful usability of the Inoperability IO model. Economic Systems
Research, forthcoming.
Oosterhaven, J. & M.C. Bouwmeester (2016) A new approach to modelling the impact of disruptive
events. Journal of Regional Science, 56:4, 583-595.
Oosterhaven, J. & T. Knaap (2003) Spatial economic impacts of transport infrastructure investments.
In: Pearman, A. , P. Mackie, J. Nellthorp & L. Giorgi (eds) Transport Projects, Programmes
and Policies: Evaluation Needs and Capabilities. Aldershot, Ashgate, UK, 87-111.
Oosterhaven, J., E. C. Van Der Knijff & G. J. Eding. (2003) Estimating interregional economic
impacts: an evaluation of nonsurvey, semisurvey, and full-survey methods. Environment and
Planning A, 35:1, 5-18.
Oosterhaven, J., D. Stelder & S. Inomata (2008) Estimating international interindustry linkages: non-
survey simulations of the Asian-Pacific economy. Economic Systems Research, 20:4, 395-414.
Oosterhaven, J. & & K.R. Polenske (2009) Modern regional input-output and impact analyses. in: R.
Capello & P. Nijkamp (eds) Handbook of Regional Growth and Development Theories,
Edward Elgar, Cheltenham, UK, 423-439.
Oosterhaven, J.& J. Többen (2017) Regional economic impacts of heavy flooding in Germany: A non-
linear programming approach. Spatial Economic Analysis, accepted.
Paelinck, J., J. de Caevel, & D. J. (1965) ‗Analyse Quantitative de Certaines Phénomènes du
Développment Régional Polarisé: Essai de Simulation Statique d‘itérarires de Propogation‘.
In: Problèmes de Conversion Éconmique: Analyses Théoretiques et Études Appliquées. M.-
Th. Génin, Paris: 341–387.
Park, J. Y., P. Gordon, J. E. Moore II & H. V. Richardson (2009) A two-step approach to estimating
state-to-state commodity trade flows. Annals of Regional Science, 43, 1033–1072.
Pavia, J. M., B. Cabrer & R. Sala (2009) Updating input–output matrices: assessing alternatives
through simulation. Journal of Statistical Computation and Simulation, 79:12, 1467-1482.
Polenske, K. R. (1979) Energy Analysis and the Determination of Multiregional Prices. Papers in
Regional Science, 43:1, 83-97.
References
170
Polenske, K. R. (1980) US multiregional input-output accounts and model. Lexington Books,
Lexington, MA, USA.
Potsdam-Institute for climate impact research (PIK), University Berlin, University Cologne (2011)
Auswirkungen des Klimawandels auf die Schadensituation in der deutschen
Versicherungswirtschaft, http://www.gdv.de/wp-content/uploads/2012/01/Klimakonferenz_
2011_PIK_Studie_Hochwasser.pdf.
Prognos (2011) Bedarf an konventioneller Kraftwerkskapazität in Deutschland – Gutachten für die
E.ON Kraftwerke GmbH.
Pyatt, G. (1994a) Modelling Commodity Balances: A Derivation of the Stone Model. The Richard
Stone Memorial Lecture, Part I. Economic Systems Research, 6:1, 5-20.
Pyatt, G. (1994b) Modelling Commodity Balances in a Computable General Equilibrium Context. The
Richard Stone Memorial Lecture, Part II. Economic Systems Research, 6:2, 123-134.
Ten Raa, T. & J. M. Rueda-Cantuche (2003) The construction of input–output coefficients matrices in
an axiomatic context: some further considerations. Economic Systems Research, 15:4, 439-
455.
Rasmussen, P. N. (1956) Studies in Inter-Sectoral Relations. North-Holland, Amsterdam, NL.
Reich, U.-P., R. Stäglin & C. Stahmer (1995) Ein System von Input-Output-Tabellen für die
Bundesrepublik Deutschland: Konzeption, Erstellung, Auswertung. Duncker & Humblot,
Berlin, D.
van Rijckeghem, W. (1967) An exact method for determining the technology matrix in a situation with
secondary products. Review of Economics and Statistics, 49:4, 607-608.
Robinson, S., A. Cattaneo & M. El-Said (2001) Updating and estimating a social accounting matrix
using cross entropy methods. Economic Systems Research, 13:1, 45–64.
Rodrigues, J. F. D. (2014) A Bayesian Approach to the Balancing of Statistical Economic Data.
Entropy, 16:3, 1243-1271.
Rodrigues, J. F. D. (2015) Maximum-Entropy Prior Uncertainty and Correlation of Statistical
Economic Data. Journal of Business & Economic Statistics, 34:3, 357-367.
Rose, A. (2004) Economic principles, issues, and research priorities in hazard loss estimation. inY.
Okuyama & S.E. Chang (eds) Modeling Spatial and Economic Impacts of Disasters,
Berlin/New York, Springer-Verlag, 13-36.
Rose, A. & G.-S. Guha (2004) Computable general equilibrium modelling of electric utility lifeline
losses from earthquakes. in Y. Okuyama & S.E. Chang (eds) Modeling Spatial and Economic
Impacts of Disasters, Springer, Berlin, 119-141.
Rose, A. & D. Wei (2013) Estimating the economic consequences of a port shutdown: The special role
of resilience. Economic Systems Research, 25:2, 212-232.
Round, J. I. (1978) An Interregional Input‐Output Approach to the Evaluation of Nonsurvey Methods.
Journal of Regional Science, 18:2, 179-194.
References
171
Round, J. I. (1983) Nonsurvey techniques: a critical review of the theory and the evidence.
International regional science review, 8:3, 189-212.
Rueda-Cantuche, J. M. (2011) The choice of type of input-output table revisited: moving towards the
use of supply-use tables in impact analysis. Statistics and Operation Research Transactions,
2011, 35:1, 21-38.
Rueda-Cantuche, J. M. & T. T. Raa (2009) The choice of model in the construction of industry
coefficients matrices. Economic Systems Research, 21:4, 363-376.
Santos, J.R. (2006) Inoperability Input-Output Modeling of Disruptions to Interdependent Economic
Systems. Systems Engineering, 9, 20–34.
Santos, J.R. & Y.Y. Haimes (2004) Modelling the demand reduction input-output (I-O) inoperability
due to terrorism of connected infrastructures. Risk Analysis, 24, 1437-51.
Santos, J.R., K.D.S. Yu, S.A.T. Pagsuyoin & R.R. Tan (2014) Time-varying disaster recovery model
for interdependent economic systems using hybrid input-output and event tree analysis.
Economic Systems Research, 26:1, 60-80.
Sargento, A. L., P. N. Ramos & G. J. Hewings (2012) Inter-regional trade flow estimation through
non-survey models: An empirical assessment. Economic Systems Research, 24:2, 173-193.
Sargento, A. L. M. (2009) Regional input-output tables and models: interregional trade estimation and
input-output modelling based on total use rectangular tables. PhD Thesis, Faculdade de
Economia, Universidade de Coimbra.
Schumann, J. (1990) On some Basic Issues of Input-Output Economics: Technological Structure,
Prices, Imputations, Structural Decomposition, Applied General Equilibrium. Economic
Systems Research, 2:3, 229-239.
Schulte in den Bäumen, H., J. Többen & M. Lenzen (2015) Labour forced impacts and production
losses due to the 2013 flood in Germany. Journal of Hydrology, 527, 142-150.
Schultz, S. (1977) Approaches to identifying key sectors empirically by means of input-output
analysis. Journal of Development Studies, 14, 77–96.
Snickars, F. & J. W. Weibull (1977) A Minimum Information Principle - Theory and Practice.
Regional Science and Urban Economics, 7:1, 137-168.
Shannon, C. (1948) A mathematical theory of communication. Bell System Technology Journal, 27,
379–423.
Sonis, M. & G. J. Hewings (1999) Miyazawa‘s contributions to understanding economic structure:
interpretation, evaluation and extensions. . In: G. J. D. Hewings, M. Sonis, M. Madden & Y.
Kimura (eds) Understanding and Interpreting Economic Structure, Springer, Berlin,
Heidelberg, 13-51.
Sonis, M. & J. Oosterhaven (1996) Input-Output Cross Analysis: A Theoretical Account. Environment
and Planning A, 28:8, 1507-1517.
References
172
Speck, S. (1999) Energy and carbon taxes and their distributional implications. Energy policy, 27:11,
659-667.
Standardi, G., F. Bosello & F. Eboli (2014) A sub-national version of the GTAP model for Italy.
Working Papers of the Fondatione Eni Enrico Mattei.
Steenge, A.E. & M. Bočkarjova (2007) Thinking about imbalances in post-catastrophe economies: An
input-output based proposition. Economic Systems Research, 19:2, 205-223.
Strassert, G. (1968) Zur bestimmung Strategischer Sektoren mit Hilfe von Input-Output Modellen.
Jahrbücher für Nationalökonomie und Statistik, 182: 211–215.
Techert, H., J. Niehues, H. Bardt, E. Gawel, K. Korte, A. Löschel, F. Flues & P. Heindl (2012)
Verteilungswirkungen des Erneuerbare-Energien-Gesetzes. Wirtschaftsdienst, 92, 507-519.
Temurshoev, U., N. Yamano & C. Webb (2011) Projection of Supply and Use Tables: Methods and
their Empirical Assessment. Economic Systems Research, 23:1, 91-123.
Theil, H. (1967) Economics and Information Theory. North Holland, Amsterdam, NL.
Thieken, A.H., T. Bessel, S. Kienzler, H. Kreibich, M. Müller, S. Pisi & K.Schröter (2016) The flood
of June 2013 in Germany: how much do we know about its impacts? Natural Hazards Earth
Systems Sciences, 16, 1519-1540.
Thissen, M., F. van Oort, D. Diodato & A. Ruijs (2013) Regional Competitiveness and Smart
Specialization in Europe Place-based Development in International Economic Networks.
Edward Elgar, Cheltenham, UK, Northhampton, MA, USA.
Többen, J. (2014) Construction of subnational multiregional Input-Output tables: The case of
Germany's federal states. Paper presented at the 22nd International Input-Output Conference,
Lisbon, Portugal, July 14-18.
Többen, J. (2016a) On the simultanious estimation of physical and monetary commodity flows. Under
revision for Economic Systems Research.
Többen, J. (2016b) Regional Net-Impacts and Distributive Effects of Promoting Renewable Energies
in Germany. Under revision forEcological Economics.
Többen, J.& T. H. Kronenberg (2015) Construction of Multi-Regional Input–Output Tables Using the
Charm Method, Economic Systems Research, 27:4, 487-507.
Tohmo, T. (2004) New developments in the use of location quotients to estimate regional input–output
coefficients and multipliers. Regional Studies, 38:1, 43-54.
Tsuchiya, S., H. Tatana & N. Okada (2007) Economic loss assessment due to railroad and highway
disruptions. Economic Systems Research 19/2: 147-162.
Tukker, A., A. de Koning, R. Wood, T. Hawkins, S. Lutter, J. Acosta, J. M. Rueda Cantuche, M.
Bouwmeester, J. Oosterhaven & T. Drosdowski (2013) Exiopol – development and illustrative
analyses of a detailed global MR EE SUT/IOT. Economic Systems Research, 25:1, 50-70.
References
173
Ulrich, P., M. Distelkamp & U. Lehr (2012) Employment effects of renewable energy expansion on a
regional level—first results of a model-based approach for Germany. Sustainability, 4:2, 227-
243.
Ulrich, P. & U. Lehr (2014) Erneuerbar beschäftigt in den Bundesländern: Bericht zur aktualisierten
Abschätzung der Bruttobeschäftigung 2013 in den Bundesländern. Studie im Auftrag des
Bundesministeriums für Wirtschaft und Energie (BMWi), Osnabrück.
United Nations, European Communities, International Monetary Fund, Organisation for Economic
Co-Operation and Development & World Bank (2009) System of National Accounts, 2008.
United Nations Publications, New York, USA.
United Nations Statistical Division (2008) International Merchandise Trade Statistics: Supplement to
the Compilers Manual. United Nations Publications, New York, USA.
Valadkhani, A. & Michell, W. F. (2002) Assessing the Impact of Changes in Petroleum Prices on
Inflation and Household Expenditures in Australia. Australian Economic Review, 35:2, 122-
132.
Viet, V. Q. (1994) Practices in input-output table compilation. Regional science and urban economics,
24:1, 27-54.
Wang, Y., A. Geschke & M. Lenzen (2015) Constructing a Time Series of Nested Multiregion Input–
Output Tables. International Regional Science Review, forthcomming.
Weisz, H. & F. Duchin (2006) Physical and Monetary Input-Output Analysis: What Makes the
Difference? Ecological Economics, 57:3, 534–541.
Wehowsky, P., W. Leidemann, A. Lezuo, W. Seifritz, M. Fischedick, D. Herrmann, T. Pfeiffer, U.
Fahl & A. Voß (1994) Strom- und wärmeerzeugende Anlagen auf fossiler und nuklearer
Grundlage. IKARUS – Ein Entwicklungsvorhaben des Forschungszentrums Jülich im Auftrag
des Bundesministeriums für Forschung und Technologie, Nr. 4-06(2).
Wenkel, R. (2013) Deutsche Welle. Journal news from 04.06.2013, http://www.dw.de/floods-hit-
germany-at-economic-low-point/a-16858079.
Wiedmann, T. (2009) A review of recent multi-region input-output models used for consumption-
based emission and resource accounting. Ecological Economics, 69:2, 211-222.
Wiedmann,T. O., S. Suh, K. Feng, M. Lenzen,| A. Acquaye, K. Scott, & J. R. Barrett (2011)
Application of Hybrid Life Cycle Approaches to Emerging Energy Technologies - The Case
of Wind Power in the UK. Environmental Science and Technology, 45:15, 5900-5907.
Wiedmann, T. O., H. Schandl, M. Lenzen, D. Moran, S. Suh, J. West & K. Kanemoto (2015) The
Material Footprint of Nations. PNAS, 112:20, 6271-6276.
Wiedmann, T., R. Wood, J. Minx, M. Lenzen & R. Harris (2008) Emissions embedded in UK trade–
UK-MRIO model results and error estimates. Paper presented at the International Input–
Output Meeting on Managing the Environment, Sevilee, Spain, July 9-11.
References
174
Wier, M., K. Birr-Pedersen, H. K. Jacobsen & J. Klok (2005) Are CO 2 taxes regressive? Evidence
from the Danish experience. Ecological Economics, 52:2, 239-251.
Wilson, A. G. (1967) A statistical theory of spatial distribution models. Transportation research, 1:3,
253-269.
Wilson, A. G. (1970) Inter‐regional Commodity Flows: Entropy Maximizing Approaches.
Geographical analysis, 2:3, 255-282.
Wilson, A. G. (1971) A family of spatial interaction models, and associated developments.
Environment and Planning, 3:3, 1-32.
Wolf, K.-J. (2004). Gesamtwirtschaftliche Beschäftigungseffekte durch die Investitionen in Fossile
Kraftwerke. Unpublished Diploma-Thesis.
Wood, R., T. R. Hawkins, E. G. Hertwich & A. Tukker (2014) Harmonizing National Input—Output
Tables for Consumption-Based Accounting—Experiences from EXIOPOL. Economic Systems
Research, 26:4, 387-409.
Wood, R., K. Stadler, T. Bulavskaya, S. Lutter, S. Giljum, A. de Koning, J. Kuenen, H. Schütz, J.
Acosta-Fernández, A. Usubiaga, M. Simas, O. Ivanova, J. Weinzettel, J. H. Schmidt, S.
Merciai & A. Tukker (2015) Global Sustainability Accounting—Developing EXIOBASE for
Multi-Regional Footprint Analysis. Sustainability, 7:1, 138-163.
Wu, J., Le, J. & Z., Zhang (2013) Inflationary effect of oil-price shocks in an imperfect market: A
partial transmission input–output analysis. Journal of Policy Modelling, 35:2, 354–369.
Yi, I., N. Itsubo, A. Inaba & K. Matsumoto (2007) Development of the interregional I/O based LCA
method considering region-specifics of indirect effects in regional evaluation. The
International Journal of Life Cycle Assessment, 12:6, 353-364.
You, L. & S. Wood (2006) An entropy approach to spatial disaggregation of agricultural production.
Agricultural Systems, 90, 329–347.
You, L., S. Wood & U. Wood-Sichra (2009) Generating plausible crop distribution maps for Sub-
Saharan Africa using a spatially disaggregated data fusion and optimization approach.
Agricultural Systems, 99, 126–140.
Zhang, Y., H. Zheng, B. D. Fath, H. Liua, Z. Yang, G. Liu & M. Su (2014) Ecological network
analysis of an urban metabolic system based on input–output tables: Model development and
case study for Beijing. Science of the Total Environment, 468–469, 642–653.
Zhao, Y. & K. M. Kockelman (2004) The random-utility-based multiregional input–output model:
solution existence and uniqueness. Transportation. Research Part B, 38:9, 789–807.