Targeting the Collection of Superior Data for the Estimation of the Intermediate Deliveries in Regional Input-Output Tables
Bibliographic Data
| ID | 4752965 |
|---|---|
| Authors | Xuemei Jiang (0000-0002-5639-0453, Chinese Academy of Sciences, corresponding author), Erik Dietzenbacher (0000-0001-8874-4175, Faculty of Economics and Business, University of Groningen, PO Box 800, 9700 AV, Groningen, The Netherlands and Graduate University, Chinese Academy of Sciences, Beijing, China, corresponding author), Bart Los (0000-0001-5850-4795, University of Groningen, corresponding author) |
| Year | 2010 |
| Volume | 42 |
| Issue | 10 |
| Pages | 2508-2526 |
| Publication date | 2010-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a4316 |
| OpenAlex | W2016797788 |
| Language | EN |
| Citations received | 2 |
| References cited | 55 |
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
Data collection · Data mining · Data set · Estimation · Statistics · Computer Science · Engineering · Environmental Impact and Sustainability · Mathematics · Regional Economic and Spatial Analysis · Regional resilience and development · Artificial Intelligence
Input-output and regional economics
Approaches to identifying key sectors empirically by means of input‐output analysis
In Vindication of the Ghosh Model
Effects of Parametric Uncertainty and Technological Change on Input-Output Models
Monte Carlo Sensitivity Analysis of Input-Output Models
An Intersectoral Flows Analysis of the California Economy
Interregional feedback effects in input-output models
Studies in Inter-Sectoral Relations
Input-Output Approach in an Allocation System
Estimating and Projecting Input-Output Coefficients
Input-Output Economics
Small and Large Industry
Exchanging Regional Input—Output Coefficients
Experiments in Regionalization of a National Input-Output Table
Empirical Identification of Key Sectors
Measuring Connectedness of Input - Output Models
The Effect of Relative Coefficient Size on Input-Output Multipliers
An Efficient Approach to the Estimation of Regional Input-Output Multipliers
Input-Output Coefficients and Multipliers from a Total-Flow Perspective
Frontiers of Input-Output Analysis
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,13 |
| Citation span | 2010 - 2018 (9) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |