It is well known that the intermediate deliveries in (regional) input–output tables are estimated more accurately if nonsurvey techniques are complemented by superior data, obtained via surveys, experts, or other reliable sources. Collecting superior data is costly and it is therefore crucial that the cells for which to collect superior data are well chosen. Several methods have been proposed in the literature. Some of these select a set of individual cells, others identify entire sectors. In the present paper we evaluate six of these methods by simulating the estimation of the regional intermediate deliveries matrices for each of twenty-seven Chinese provinces in 2002, on the basis of their matrices for 1997. Data from the true 2002 matrices are used to mimic superior data collection.
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References
1.
AfrasiabiACaslerS D, 1991, “Product mix and technological change within the Leontief inverse”Journal of Regional Science31147–160.
2.
AllenRIG, 1974, “Some experiments with the RAS method of updating input–output coefficients”Oxford Bulletin of Economics and Statistics36215–228.
Andreosso-O'CallaghanBYueG, 2004, “Intersectoral linkages and key sectors in China: 1978–1997”Asian Economic Journal18165–183.
5.
BeyersW B, 1976, “Empirical identification of key sectors: Some further evidence”Environment and Planning A8231–236.
6.
BonfighoAChelliF, 2008, “Assessing the behaviour of non-survey methods for constructing regional input–output tables through a Monte Carlo simulation”Economic Systems Research20243–258.
7.
BoomsmaPOosterhavenP, 1992, “A double-entry method for the construction of bi-regional input–output tables”Journal of Regional Science32269–284.
8.
BourqueP J, 1971, “Discussion of Walderhaug's paper ‘State input–output tables derived from national data’”Proceedings of the Business and Economics Section of the American Statistical Association pp 99–100.
9.
BruckerS MHastingsS ELathamW RIII, 1987, “Regional input–output analysis: A Comparison of five ‘ready made’ model systems”Review of Regional Studies17(2) 1–16.
10.
BruckerS MHastingsS ELathamW RIII, 1990, “The variation of estimated impacts from five regional input–output models”International Regional Science Review13119–139.
11.
BullardC WSebaldA V, 1977, “Effects of parametric uncertainty and technological change on input–output models”Review of Economics and Statistics5975–81.
12.
BullardC WSebaldA V, 1988, “Monte Carlo sensitivity analysis of input–output models”Review of Economics and Statistics70708–712.
13.
CaslerS DHadlockD, 1997, “Contributions to changes in the input–output model: The search for inverse important coefficients”Journal of Regional Science37175–193.
14.
CellaG, 1984, “The input–output measurement of interindustry linkages”Oxford Bulletin of Economics and Statistics4673–84.
15.
Chinese Statistics Bureau, 2002The Compilation Methods of Chinese Input–Output Tables (China Statistics Press, Beijing).
16.
ClementsB J, 1990, “On the decomposition and normalization of interindustry linkages”Economic Letters33337–340.
17.
ConwayR S, 1975, “A note on the stability of interindustry models”Journal of Regional Science1567–72.
18.
de MelloLRJTeixeiraJ R, 1993, “The updating of input–output matrices: A Systematic survey”Economic Letters41241–245.
19.
DietzenbacherE, 1992, “The measurement of interindustry linkages: Key sectors in the Netherlands”Economic Modelling9419–437.
20.
DietzenbacherE, 1997, “In vindication of the Ghosh model: A Reinterpretation as a price model”Journal of Regional Science37629–651.
21.
DietzenbacherEvan der LindenJ A, 1997, “Sectoral and spatial linkages in the EC production structure”Journal of Regional Science37235–257.
22.
GhoshA, 1958, “Input–output approach in an allocation system”Economica2558–64.
23.
HansenW LTieboutC M, 1963, “An intersectoral flows analysis”Review of Economics and Statistics45409–418.
24.
HarriganF JMcGilvrayJ, 1988, “The measurement of interindustry linkages”Richerche Economiche42325–343.
25.
HewingsGJD, 1984, “The role of prior information in updating input–output models”Socio-Economic Planning Sciences18319–336.
26.
HewingsGJDJansonB N, 1980, “Exchanging input–output coefficients: A Reply and further comments”Environment and Planning A12843–854.
27.
HewingsGJDRomanosM C, 1981, “Simulating path analysis and multiplier decomposition within a social accounting matrix framework”Economic Journal94373–390.
28.
HirschmanA O, 1958The Strategy of Economic Development (Yale University Press, New Haven, CT).
29.
IsardWLangfordT W, 1971Regional Input–Output Study: Recollection, Reflections and Diverse Notes on the Philadelphia Experience (MIT Press, Cambridge, MA).
30.
IsrailevichP R, 1986Biproportional Forecasting of Input–Output Tables PhD dissertation, Regional Science Department, University of Pennsylvania, Philadelphia, PA.
31.
JacksonR W, 1986, “The ‘full description’ approach to the aggregate representation in the input–output modeling framework”Journal of Regional Science26515–530.
32.
JaliliA R, 2000, “Comparison of two methods of identifying input–output coefficients for exogenous estimation”Economic Systems Research12113–129.
33.
JensenR CWestG R, 1980, “The effects of relative coefficient size on input–output multipliers”Environment and Planning A12659–670.
JiangXDietzenbacherELosB, 2007, “Estimation of Chinese regional input–output tables”, paper presented at the 16th International Input–Output Conference, Istanbul; copy available from the author.
36.
JonesL P, 1976, “The measurement of Hirschmanian linkages”Quarterly Journal of Economics90323–333.
37.
LahrM L, 1993, “A review of the literature supporting the hybrid approach to constructing regional input–output models”Economic Systems Research5277–293.
38.
LahrM L, 2001, “A strategy for producing hybrid regional input–output tables”, in Input–Output Analysis: Frontiers and Extensions Eds LahrM LDietzenbacherE (Palgrave Macmillan, Basingstoke, Hants) pp 211–242.
39.
LecomberJRC, 1964, “A generalization of RAS”, Growth Project Paper 196, Department of Applied Economics, Cambridge University.
40.
LecomberJRC, 1975, “A critique of methods of adjusting, updating and projecting matrices”, in Estimating and Projecting Input–Output Coefficients Eds AllanRIGGosslingW F (Input–Output Publishing Company, London) pp 43–56.
41.
LeeT HMooreJ RLewisD P, 1973Regional and Interregional Intersectoral Flow Analysis: The Method and an Application to the Tennessee Economy (University of Tennessee Press, Knoxville, TN).
42.
LeontiefW W, 1966Input–Output Economics (Oxford University Press, New York).
43.
LiuSWuC, 1991, “Construction and application of regional input–output tables”, in Chinese Economic Planning and Input–Output Analysis Eds PolenskeK RChenX (Oxford University Press, Hong Kong) pp 159–166.
44.
LiuX, 2004Some Problems of Theory and Application in the Input–Occupancy–Output Technique PhD dissertation, Chinese Academy of Sciences.
45.
LoviscekA L, 1982, “Industrial cluster analysis—backward or forward linkages?”Annals of Regional Science1636–47.
46.
MellerPMarfanM, 1981, “Small and large industry: Employment generation, linkages, and key sectors”Economic Development and Cultural Change29263–274.
47.
MiernykW H, 1970, “Sampling techniques in making regional industry forecasts”, in Applications of Input–Output Analysis Eds CarterA PBrodyA (North-Holland, Amsterdam) pp 305–321.
48.
MillerR E, 1966, “Interregional feedback effects in input–output models: Some preliminary results”Papers in Regional Science17105–125.
49.
MillerR EBlairP D, 1983, “Estimating state-level input–output relationships from US multiregional data”International Regional Science Review8233–254.
MillerR ELahrM L, 2001, “A taxonomy of extractions”, in Regional Science Perspectives in Economic Analysis Eds LahrM LMillerR E (Elsevier Science, Amsterdam) pp 407–441.
52.
MorrisonW IThumannR G, 1980, “A Lagrangian multiplier approach to the solution of a specific constrained matrix problem”Journal of Regional Science20279–292.
53.
OosterhavenJStelderDInomataS, 2008, “Estimating international interindustry linkages: Non-survey simulations of the Asian-Pacific economy”Economic Systems Research20395–414.
54.
PaelinckJde CaevelJDegueldreJ, 1965, “Analyse quantitative de certains phénomènes du développement régional polarisé: Essai de simulation statique d'itinéraires de propagation”, in Problèmes de Conversion Economique: Analyses Théorétiques et Etudes Appliquées (M-Th Génin, Paris) pp 341–387.
55.
QiSLiuHChenJ, 2007, “Introduction to the compiling system of the Chinese regional input–output tables”, in Input–Output Theory and Practice in China Eds PenZLiuQTongR (China Statistics Press, Beijing) pp 528–542 (in Chinese).
56.
RalstonS NHastingsS EBruckerS M, 1986, “Improving regional I–O models: Evidence against uniform regional purchase coefficients across rows”Annals of Regional Science2065–80.
57.
RasmussenP N, 1957Studies in Inter-sectoral Relations (North-Holland, Amsterdam).
58.
RichardsonH W, 1972Input–Output and Regional Economics (Halstead Press, New York).
59.
RichardsonH W, 1985, “Input–output and economic base multipliers: Looking backward and forward”Journal of Regional Science25607–661.
60.
RoundJ I, 1983, “Non-survey techniques: A Critical review of the theory and evidence”International Regional Science Review8189–212.
61.
SawyerC HMillerR E, 1983, “Experiments in regionalization of national input–output tables”Environment and Planning A151501–1520.
62.
SchafferW A, 1976On the Use of Input–Output for Regional Planning (Martinus Nijhoff, Leiden).
63.
SchintkeJStäglinR, 1985, “Stability of import input coefficients”, in Input–Output Modeling Ed. SmyshlyaevA (Springer, Berlin) pp 129–139.
64.
SchintkeJStäglinR, 1988, “Important input coefficients in market transactions tables and production flow tables”, in Input–Output Analysis: Current Developments Ed. CiaschiniM (Chapman and Hall, London) pp 43–60.
65.
SchultzS, 1976, “Intersectoral comparisons as an approach to the identification of key sectors”, in Advances in Input–Output Analysis Eds PolenskeK RSkolkaJ V (Ballinger, Cambridge, MA) pp 137–159.
66.
SchultzS, 1977, “Approaches to identifying key sectors empirically by means of input–output analysis”Journal of Development Studies1477–96.
67.
ShermanJMorrisonW, 1950, “Adjustment of an inverse matrix corresponding to a change in one element of a given matrix”Annals of Mathematical Statistics21124–127.
68.
SnowerD J, 1990, “New methods of updating input–output matrices”Economic Systems Research227–37.
69.
SonisMHewingsGJD, 1989, “Error and sensitivity input–output analysis: A New approach”, in Frontiers of Input–Output Analysis Eds MillerR EPolenskeK RRoseA Z (Oxford University Press, New York) pp 232–244.
70.
SonisMHewingsGJD, 1992, “Coefficient change in input–output models: Theory and applications”Economic Systems Research4143–157.
71.
StoneRBrownA, 1962A Computable Model of Economic Growth (Chapman and Hall, London).
72.
StrassertG, 1968, “Zur Bestimmung strategischer Sektoren mit Hilfe von Input–Output Modellen”Jahrbücher für Nationalökonomie und Statistik182211–215.
73.
SzyrmerJ M, 1984Total Flow in Input–Output Models PhD dissertation, Regional Science Department University of Pennsylvania, Philadelphia, PA.
74.
SzyrmerJ M, 1986, “Measuring connectedness of input–output models: 2. Total flow concept”Environment and Planning A18107–121.
75.
SzyrmerJ M, 1992, “Input–output coefficients and multipliers from a total flow perspective”Environment and Planning A24921–937.
76.
TarancónM ÁCallejasFDietzenbacherELahrM L, 2008. “A revision of the tolerable limits approach: Searching for the important coefficients”Economic Systems Research2075–95.
77.
WestG R, 1981, “An efficient approach to the estimation of regional input–output tables”Environment and Planning A13857–867.
XuSMaddenM, 1991, “The concept of important coefficients in input–output models”, in Regional Input–Output Modelling: New Developments and Interpretations Eds Ll DewhurstJ HHewingsGJDJensenR C (Avebury, Aldershot, Hants) pp 66–97.
