De-industrialization and comparative advantage in the global value chain

We investigate the causes of de-industrialization and potential for re-industrialization using trade-linked input–output data from WIOD. By introducing a new global value chain measure of comparative advantage, we relate a sector's share in domestic final demand to that in production and separate the direct effect of trade on its income share. This method identifies the declining share of manufacturing value added in domestic final expenditures to be the main cause of de-industrialization. Differences in comparative advantage between countries do matter, especially in the case of employment shares, but have a limited impact via the direct trade effect on value added. The findings point to a peculiar paradox of industrial policy: precisely when it is successful in raising competitiveness and hence productivity growth of manufacturing, it also furthers the global decline of relative prices in manufacturing. In contrast to the national objectives of re-industrialization, effective industrial policies accelerate de-industrialization in the global economy.     

ON BRÓDY'S CONJECTURE: THEORY,FACTS AND FIGURES ABOUT INSTABILITY OF THE US ECONOMY

Bródy's conjecture regarding the instability of economies is submitted to an empirical test using input–output flow tables of varying size for the US economy, for the benchmark years 1997 and 2002, as well as for the period 1998–2011. The results obtained using input–output tables of various dimensions lend support to the view of increasing instability (in the sense of Bródy) of the US economy over the period considered. Furthermore, our analysis shows that only a few vertically integrated industries are enough to shape the behaviour of the entire economy in the case of a disturbance. These results may usefully be contrasted with those derived in a parallel literature on aggregate fluctuations from microeconomic ‘idiosyncratic’ shocks.     

Hypothetical extractions from a global perspective

ABSTRACT

The hypothetical extraction method (HEM) has been widely used to measure interindustry linkages and the importance of industries. HEM considers the hypothetical situation in which a certain industry is no longer operational. HEM was developed for national economies, using national input–output tables. When performing HEM, it is assumed (often implicitly) that the input requirements that were originally provided by the extracted industry are met by additional imports in the post-extraction situation. Applying HEM to global multiregional input–output tables then causes serious problems. It is no longer sufficient to assume that the required inputs are imported. Instead, it is necessary to indicate explicitly how much is imported from each origin to replace the original inputs. Our adaptation of HEM is the global extraction method (GEM). As an illustration, GEM is applied to the extraction of the motor vehicle industry in China, the US, and Germany, using the 2014 WIOD input–output table.     

Why has China’s vertical specialization declined?

Vertical specialization (VS) is quantified by the VS share, which measures the average import content per dollar of exports. A characteristic of China’s export trade is its strong dependence on assembly and processing activities. To take proper account of this, China’s VS shares should explicitly distinguish processing export production from other production. We estimate China’s annual VS shares from 2000 to 2012—the latest year for which a special input–output table is available that makes such an explicit distinction. We find that VS shares increased from 2000 to 2004 and subsequently started to decrease. To explore why it has declined, we introduce a new structural decomposition approach. We find that the decrease of the VS share appears to have been driven mainly by the substitution of imported intermediates by domestic products. This occurred in particular in the production of exports, which implies an upgrading of China’s position in global value chains.     

Measuring Smile Curves in Global Value Chains

The logic of the ‘smile curve’ in the context of global value chains (GVCs) has been widely used in case studies of individual firms, but rarely identified at the country-industry level by using real data. This paper puts forward a proposal, based on an inter-country input–output model, to consistently measure both the gain of value added and the position of countries and industries when they join GVCs. This allows for better identification and mapping of economy-wide smile curves in a given conceptual value chain. Using the World Input-Output Tables, we identify the Information and Communications Technology exports-related smile curves for China and the United States (US), which provide an intuitive and visual representation of who gains value added and jobs through joining GVCs, and to what extent. Further insight into the distributional implications of GVC expansion, based on our analysis of labour markets for China and the US, provides a strong support for the so-called ‘Paradoxical Pair of Concerns’ between developed and developing countries. Our empirical results show that gains through joining GVCs may vary greatly across different skill levels of labour domestically, a fact that has, at least in part, been a driver of the backlash against globalization and the rise of trade protectionism.     

Total Labour Requirements and Value Added Productivity of Labour in the Process of Economic Development

When the inverse of the value added productivity of labour is regressed on total labour requirements (which is equivalent to labour values), a significant relationship is obtained. This indicates that the value added productivity of labour can be explained by total labour requirements (labour values). The mean value of the regression coefficients is about 1.7. The regression coefficients have a tendency to increase during the process of rapid economic development and to decrease afterwards. Such movements are explained by value added linkages. This study is based on input–output analysis, where total labour requirements per monetary unit of output and the value added productivity of labour are calculated for each of 24 industries in Japan, Korea and USA, every 5 years between 1960 to 1985.     

Disaggregating input–output tables in time: the temporal input–output framework

The input–output framework has evolved dramatically since its initial formulation. New analytical techniques and extensions have allowed a more comprehensive assessment of the economy and expanded its applicability. Nonetheless, the core of the framework has remained unchanged: an annually compiled input–output table, which conveys monetary flows between sectors in a region in a particular year. Hence, the technical coefficients derived from it are ‘average’ input compositions, neglecting fluctuations in production capacity, seasonality and temporal shocks within that period. This paper develops a consistent methodology to disaggregate the annual input–output table in its time dimension in order to estimate intra-year input–output matrices with distinct technical structures for a particular year. The main advantages in relation to the annual model are to allow seasonal effects to be studied within the input–output framework, to better understand the process of coefficient change and to offer a more comprehensive dynamic view of production.     

Global growth to 2024: reversion to which mean?

• We expect global GDP growth to average 3.5% per year (at PPP exchange rates) over the next ten years. This is lower than the 3.8% recorded in 2000–14 though not dramatically so. There will be a modest recovery in advanced economy growth ‐ but not to pre‐crisis rates. Emerging market (EM) growth will slow but remain faster than growth in the advanced economies. And with EM's share in world GDP much increased from 10–15 years ago, EMs will continue to provide a large proportion of world growth.
• EM growth is expected to run at around 4.5% per year in 2015–24, well down on the 6% seen in 2000–14. This includes a slowdown from around 10% to 5–6% in China ‐ but China's share in world GDP has risen so much that China's contribution to world growth will remain very substantial.
• Advanced economies are forecast to grow by 1.9% per year in 2015–24, a big improvement from the 1% pace of 2007–14 (which was affected by the global financial crisis) but below the 1990–2014 average. Indeed, the gap between forecast G7 GDP and GDP extrapolated using pre‐crisis trends in potential output will remain large at 10–15% in 2015–24.
• Global growth will remain relatively strong compared to much longer‐term averages: growth from 1870–1950 was only around 2% per year. But a return to such low growth rates looks unlikely; China and India were a major drag on world growth until the 1980s but are now fast growing regions.
• Our forecast is relatively cautious about key growth factors; the contribution of productivity growth is expected to improve slightly, while those from capital accumulation and labour supply fall back. Demographics will be a more severe drag on growth from 2025–40. Overall, risks to our long‐term forecasts look to be skewed to the downside.

     

Distinguishing China's processing trade in the world input-output table and quantifying its effects

ABSTRACT

Distinguishing processing trade is crucial to national input-output table-based research on China's international trade. This paper further investigates the importance of distinguishing China's processing trade in multicountry input-output table-based studies. We focus on the bias in China's bilateral trade in value added caused by China's undistinguished processing trade. We construct a product-by-product world input-output table capturing China's processing trade based on the World Input-Output Database. Empirical studies show that, if China's processing trade is undistinguished, the profile of China's bilateral trade in value added would be seriously distorted; China's bilateral net trade in value added with some economies, such as Japan, Korea and Taiwan, would be significantly underestimated, while it would be significantly overestimated for some other economies, such as the United States. Distinguishing processing trade in multicountry input-output tables is also crucial when China's bilateral trade in value added is considered.     

Accounting for international trade in value added: a comment on the OECD–WTO project

ABSTRACT

In the global economy of today, global value-added chains allow firms and countries to take apart the production process and do the part they are best at. In response to this new reality, OECD and WTO have launched a common statistics project of the ‘OECD–WTO Trade in Value-Added (TiVA) Database’. The database links national input–output tables with bilateral trade data to develop inter-country input–output tables that allow compiling, and revealing such chains. Its data are actual nominal values compiled at current exchange rates. The paper takes issue with that choice. Recalling that elsewhere in the United Nations national accounting figures are transformed to purchasing power parity before being compared internationally the paper suggests to follow suit and compile international value-added chains at real exchange rates, as well, and it sketches an introductory outline of how to do so.     

Intercountry feedback and spillover effects within the international supply and use framework: a Bayesian perspective*

This paper proposes a new framework for the estimation of product-level global and interregional feedback and spillover (FS) factor multipliers. The framework is directly based on interregional supply and use tables (SUTs) that could be rectangular and gives a possibility of taking account of the inherent input–output data uncertainty problems. A Bayesian econometric approach is applied to the framework using the first version of international SUTs in the World Input–Output Database. The obtained estimates of the global and intercountry FS output effects are discussed and presented at the world, country and product levels for the period of 1995–2009.     

Emissions burden shifting in global value chains – winners and losers under multi-regional versus bilateral accounting

ABSTRACT

International trade leads to emissions burden shifting and threatens mitigation targets. Multiregional input–output (MRIO) and bilateral trade input–output (BTIO) models are widely used to analyse emissions embodied in trade and global value chains. Especially, the last one is used in analysing border tax adjustment (BTA) on the carbon content of imports. The model choice is not trivial. The analysis shows BTIO's inability to capture the consumer-principle throughout the production chain and its inadequacy as an option for consumption-based accounting, because it allocates emissions to the first importing country and to the sector of production, instead to the consumer (both country and region). Regarding the BTA assessment, BTIO tax domestic carbon content of direct imports, but not indirect imported carbon content. MRIO does provide incentives for mitigation in third countries. The differences in allocation of emissions and taxes’ burden of both models have different consequences for developed and undeveloped regions.     

Note on the Differences in Accounting Identities between ‘Current Dollar’ and ‘Real’ Input–Output Tables

A common error among uses of input–output methods is the conflation of the accounting identities of current dollar, double-entry input–output systems with the accounting properties of ‘real’ input–output systems designed to index physical flows. ‘Column’ sums of the sectoral technical coefficients of the former systems will sum to unity by construction, whereas column sums of the sectoral technical coefficients of the latter systems will not, in general, sum to unity. In this note, the differences in the accounting properties of the two types of input–output systems are detailed, both formally and with the aid of a numerical example.     

An industrial ecology virtual framework for policy making in China

ABSTRACT

This study develops a multi-regional input–output (MRIO) laboratory for policy-relevant applications in China. The Chinese IELab features unique flexibility and advances the previous state of the art in terms of three novel aspects. First, it can generate regionally and sectorally very detailed MRIO tables based on users’ own research questions. Second, it covers the entire territorial economic boundary and has the longest and most up to date annual time series from 1978 to 2015. Third, it can be used to provide insight to a wide range of research and policy questions including social, economic, and environmental issues, thus significantly improving all applications that rely on input–output tables. These features are illustrated by generating a Beijing–Tianjin–Hebei multi-regional supply and use table for 2014 at city level and applying it to the case study of transferring Beijing’s non-capital functions according to The Beijing-Tianjin-Hebei Coordinated Development Strategy set by the Chinese government.     

A flexible adaptation of the WIOD database in a virtual laboratory

ABSTRACT

The World Input-Output Database provides a time series of world input–output tables (WIOTs) that have been used for example to understand the manifold effects of the increased integration of markets through international trade. In order to enhance the flexibility of research on global trade issues using WIOD, we implement the WIOT workflow in a collaborative, cloud-based virtual laboratory environment. We demonstrate that a lab-based adaptation of WIOD is able (a) to continuously create and update versions of the WIOTs in a timely, consistent, and cost-effective way, (b) to enhance original information with accompanying information on standard deviations, and (c) to enable flexible re-casting of the entire WIOT time series into user-specific geographical and sectoral classifications.     

An Aggregated Regional Economic Input–Output Analysis within a Fuzzy Environment

Abstract

Imprecision within economic input–output frameworks can be a problem, particularly when investigating the characteristics of defined industry sectors. This study undertakes an aggregated regional economic input–output analysis, within a fuzzy environment. The dearth of studies encompassing a fuzzy approach within input–output analysis largely concerns the problematic representation of imprecision. Results pertaining to the fuzzy output multipliers associated with each sector group are described, including possibilistic mean and variance; also identified is a specific ranking of the sector groups. Where appropriate, results are compared with those from a Monte Carlo simulation based stochastic analysis.     

AN INPUT–OUTPUT STUDY OF THE SINGAPORE INFORMATION SECTOR

The development and use of information and communication technologies is one of the key drivers of the ‘knowledge economy.’ In this paper, we investigate the impact of information technology on the output growth of the Singapore economy using the input–output framework. The input–output framework allows us to understand the impact of information sector in an integrated framework in terms of its linkages to the manufacturing and service sectors. In particular, we adopt the input–output approach to shed light on both production and diffusion activities of the information sector on the Singapore economy. The results indicate that the ICT sector provided the key linkages for the expansion of high-value added manufacturing activities and electronics export for the Singapore economy.     

DEVELOPING A MULTI-SCALE MULTI-REGION INPUT–OUTPUT MODEL

Many efforts have recently been devoted to developing global multi-region input–output (GMRIO) models. Unfortunately, the scales of GMRIO models do not allow them to capture the heterogeneity of regions within a single country. Multi-scale models can provide more comprehensive analyses capable of capturing the interdependencies of the global economy while preserving regional differences. The primary objective of this research is to develop methods for integrating multi-region input–output data sets from multiple spatial scales into multi-scale multi-region input–output (MSMRIO) models. These methods result in models that may have unusual features such as non-square trade coefficient matrices and a mix of industry-by-industry and commodity-by-commodity technical coefficients. To demonstrate the feasibility of MSMRIO modelling, a Canada-centric model was developed. This model includes 47 countries and Canada's 13 subnational regions. A MSMRIO model provides a tool to analyse global issues with a more spatially detailed focus.     

Rate of return regulation and the Le Chatelier principle

This paper examines whether rate-of return regulation alters the input quantities firms use to produce their selected output level when the corresponding input prices change, in a manner similar to the Le Chatelier principle. More specifically, would the change in a rate regulated firm’s input quantity due to a change in its input price be less price elastic than the unregulated firm’s change in the input quantity due to a change in its input price. We follow Färe and Logan (1986), Nelson and Wohar (1983) in estimating a rate regulated cost function and capital input share system of equations. Using a 1992–2000 panel of 34 US major investor-owned electric utilities, empirical results indicate that the regulated own-input price elasticities of demand for labor and fuel are less price elastic than their corresponding unregulated own-input price elasticities of demand (a Le Chatelier principle type effect). Having a fuel clause (1) reduces the firm’s willingness to substitute from fuel to either non-fuel (capital, labor) input when the price of fuel rises, and (2) enhances the firm’s willingness to substitute from non-fuel inputs to fuel when the price of non-fuel inputs rises.