Pub Date : 2022-05-01DOI: 10.1080/09535314.2022.2068407
R. Itoh, Kiyoshi Yonemoto
This study proposes a multi-regional input–output (I–O) model obtained from comparative statics analysis and a linear approximation of Eaton and Kortum's (2002). [Technology, geography, and trade. Econometrica, 70(5), 1741–1779. https://doi.org/10.1111/ecta.2002.70.issue-5] general equilibrium trade model. The derived reduced form, which represents the effect of a final demand shock, is equivalent to the Leontief inverse, which means that our model is a straightforward extension of the conventional I–O framework. In addition, supply-side shocks, such as a decrease in transport costs, and the corresponding welfare gains are also calculated without setting any structural parameters. The linear reduced forms also enable us to decompose the welfare gains into various ripple channels, such as by sector, region, or the time that the gain arrives. A Japanese multi-regional I–O table is used as a numerical example to derive the effect of a reduction in transport costs (for the links around the northern region). The results indicate that more than half of the welfare gains in the southwest region are delivered through indirect channels, and their time to arrival is more than twice of that in the northern region, which is close to the shock.
{"title":"An interregional input–output analysis with the Eaton–Kortum model","authors":"R. Itoh, Kiyoshi Yonemoto","doi":"10.1080/09535314.2022.2068407","DOIUrl":"https://doi.org/10.1080/09535314.2022.2068407","url":null,"abstract":"This study proposes a multi-regional input–output (I–O) model obtained from comparative statics analysis and a linear approximation of Eaton and Kortum's (2002). [Technology, geography, and trade. Econometrica, 70(5), 1741–1779. https://doi.org/10.1111/ecta.2002.70.issue-5] general equilibrium trade model. The derived reduced form, which represents the effect of a final demand shock, is equivalent to the Leontief inverse, which means that our model is a straightforward extension of the conventional I–O framework. In addition, supply-side shocks, such as a decrease in transport costs, and the corresponding welfare gains are also calculated without setting any structural parameters. The linear reduced forms also enable us to decompose the welfare gains into various ripple channels, such as by sector, region, or the time that the gain arrives. A Japanese multi-regional I–O table is used as a numerical example to derive the effect of a reduction in transport costs (for the links around the northern region). The results indicate that more than half of the welfare gains in the southwest region are delivered through indirect channels, and their time to arrival is more than twice of that in the northern region, which is close to the shock.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"35 1","pages":"49 - 74"},"PeriodicalIF":2.5,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45639705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-01DOI: 10.1080/09535314.2022.2065466
M. Anokhina
Agrarian growth is becoming increasingly important to many countries as the global demand for food rises, natural resources become scarcer, and environmental problems deepen. Herein, I propose a mechanism for designing agricultural growth management strategies that is based on fuzzy cognitive logic. The research presented is built on three main findings. First, it integrates established theories of economic growth, economic cyclicality, and sectoral market theories into a model of agricultural growth management. This enables the identification of main growth factors and the determination of the nature of their effects on agricultural dynamics. Second, I develop an algorithm for cognitive analysis of agricultural growth management and justify both this mathematical apparatus and the tools it uses. And third, I conduct a computational experiment that applies cognitive technologies to generate what I believe is the best agricultural economic growth strategy for Russia.
{"title":"Fuzzy cognitive model of agricultural economic growth","authors":"M. Anokhina","doi":"10.1080/09535314.2022.2065466","DOIUrl":"https://doi.org/10.1080/09535314.2022.2065466","url":null,"abstract":"Agrarian growth is becoming increasingly important to many countries as the global demand for food rises, natural resources become scarcer, and environmental problems deepen. Herein, I propose a mechanism for designing agricultural growth management strategies that is based on fuzzy cognitive logic. The research presented is built on three main findings. First, it integrates established theories of economic growth, economic cyclicality, and sectoral market theories into a model of agricultural growth management. This enables the identification of main growth factors and the determination of the nature of their effects on agricultural dynamics. Second, I develop an algorithm for cognitive analysis of agricultural growth management and justify both this mathematical apparatus and the tools it uses. And third, I conduct a computational experiment that applies cognitive technologies to generate what I believe is the best agricultural economic growth strategy for Russia.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45317109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-24DOI: 10.1080/09535314.2022.2062301
E. Gilles, Javier Deaza, A. Vivas
We address the role of imported intermediates in productivity by applying a methodology that proposes an equivalence between input–output analysis and data envelopment analysis, and decomposes sectoral productivity gains into two factors: efficiency change and technical change. We illustrate this by using data for Spain in the 2008–2015 period with three levels of labor skills, capital, and twenty-eight industries, and compare the results of two different settings: one including only domestic intermediates and the other incorporating total (i.e. both domestic and imported) inputs. We find differential results regarding productivity, efficiency, and technical changes that are attributable to imported intermediates. We also find that the main drivers of productivity change are high-skilled labor and the manufacturing sector. Our results suggest the importance of both trade and educational policies that respectively foster international economic complementarities and promote higher qualification of labor.
{"title":"The role of imported intermediates in productivity change","authors":"E. Gilles, Javier Deaza, A. Vivas","doi":"10.1080/09535314.2022.2062301","DOIUrl":"https://doi.org/10.1080/09535314.2022.2062301","url":null,"abstract":"We address the role of imported intermediates in productivity by applying a methodology that proposes an equivalence between input–output analysis and data envelopment analysis, and decomposes sectoral productivity gains into two factors: efficiency change and technical change. We illustrate this by using data for Spain in the 2008–2015 period with three levels of labor skills, capital, and twenty-eight industries, and compare the results of two different settings: one including only domestic intermediates and the other incorporating total (i.e. both domestic and imported) inputs. We find differential results regarding productivity, efficiency, and technical changes that are attributable to imported intermediates. We also find that the main drivers of productivity change are high-skilled labor and the manufacturing sector. Our results suggest the importance of both trade and educational policies that respectively foster international economic complementarities and promote higher qualification of labor.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"35 1","pages":"211 - 227"},"PeriodicalIF":2.5,"publicationDate":"2022-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44665352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-27DOI: 10.1080/09535314.2022.2047011
Aleksandra Kordalska, M. Olczyk
ABSTRACT This paper aims to identify patterns of functional specialisation (FS) in global value chains (GVCs) and determinants of upgrading them for selected Central Eastern European (CEE) economies. By combing the World Input-Output Database with data on occupations, we reveal a new FS pattern among subgroups of CEEs. Poland and Slovakia have an unfavourable GVC position and specialise in low value-added fabrication function. In contrast, other CEEs have competitive advantages in high value-added tasks: the Baltic countries and Slovenia in management services, the Czech Republic and Slovenia in R&D. We identify upgrading factors for different types of FS in GVCs. The wages convergence of CEEs with developed economies, and strong GVC backward linkages support the path to higher value-added in almost all business functions. Higher GDP per capita and lower economic distance to Germany allow CEEs to escape from ‘factory economies' status and also generate higher value-added in R&D activities.
{"title":"Upgrading low value-added activities in global value chains: a functional specialisation approach","authors":"Aleksandra Kordalska, M. Olczyk","doi":"10.1080/09535314.2022.2047011","DOIUrl":"https://doi.org/10.1080/09535314.2022.2047011","url":null,"abstract":"ABSTRACT This paper aims to identify patterns of functional specialisation (FS) in global value chains (GVCs) and determinants of upgrading them for selected Central Eastern European (CEE) economies. By combing the World Input-Output Database with data on occupations, we reveal a new FS pattern among subgroups of CEEs. Poland and Slovakia have an unfavourable GVC position and specialise in low value-added fabrication function. In contrast, other CEEs have competitive advantages in high value-added tasks: the Baltic countries and Slovenia in management services, the Czech Republic and Slovenia in R&D. We identify upgrading factors for different types of FS in GVCs. The wages convergence of CEEs with developed economies, and strong GVC backward linkages support the path to higher value-added in almost all business functions. Higher GDP per capita and lower economic distance to Germany allow CEEs to escape from ‘factory economies' status and also generate higher value-added in R&D activities.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"35 1","pages":"265 - 291"},"PeriodicalIF":2.5,"publicationDate":"2022-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41470714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-18DOI: 10.1080/09535314.2022.2045258
Davit Stepanyan, G. Zimmermann, H. Grethe
Given the fast growth of available computational capacities and the increasing complexity of simulation models addressing agro-environmental issues, uncertainty analysis using stochastic techniques has become a standard modeling practice. However, conventional uncertainty/sensitivity analysis methods are either computationally demanding (Monte Carlo-based methods) or produce results with varying quality (Gaussian quadratures). In this article, we present a computationally inexpensive and reliable uncertainty analysis method for simulation models called informed rotations of Gaussian quadratures (IRGQ). We also provide an R script that generates IRGQ points based on the required input data. The results demonstrate that this method is able to produce approximations that are close to the estimated benchmarks at low computational costs. The method is tested in three different simulation models using different input data in order to demonstrate the independence of the proposed method on specific model types and data structures. This is a methodological paper for practitioners rather than theorists.
{"title":"Stochastic simulation with informed rotations of Gaussian quadratures","authors":"Davit Stepanyan, G. Zimmermann, H. Grethe","doi":"10.1080/09535314.2022.2045258","DOIUrl":"https://doi.org/10.1080/09535314.2022.2045258","url":null,"abstract":"Given the fast growth of available computational capacities and the increasing complexity of simulation models addressing agro-environmental issues, uncertainty analysis using stochastic techniques has become a standard modeling practice. However, conventional uncertainty/sensitivity analysis methods are either computationally demanding (Monte Carlo-based methods) or produce results with varying quality (Gaussian quadratures). In this article, we present a computationally inexpensive and reliable uncertainty analysis method for simulation models called informed rotations of Gaussian quadratures (IRGQ). We also provide an R script that generates IRGQ points based on the required input data. The results demonstrate that this method is able to produce approximations that are close to the estimated benchmarks at low computational costs. The method is tested in three different simulation models using different input data in order to demonstrate the independence of the proposed method on specific model types and data structures. This is a methodological paper for practitioners rather than theorists.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"35 1","pages":"30 - 48"},"PeriodicalIF":2.5,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42527995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01Epub Date: 2022-03-17DOI: 10.3390/biologics2010007
Rebecca Zelmanovich, Kevin Pierre, Patrick Felisma, Dwayne Cole, Matthew Goldman, Brandon Lucke-Wold
High altitude illness in its most severe form can lead to high altitude cerebral edema (HACE). Current strategies have focused on prevention with graduated ascents, pharmacologic prophylaxis, and descent at first signs of symptoms. Little is understood regarding treatment with steroids and oxygenation being commonly utilized. Pre-clinical studies with turmeric derivatives have offered promise due to its anti-inflammatory and antioxidant properties, but they warrant validation clinically. Ongoing work is focused on better understanding the disease pathophysiology with an emphasis on the glymphatic system and venous outflow obstruction. This review highlights what is known regarding diagnosis, treatment, and prevention, while also introducing novel pathophysiology mechanisms warranting further investigation.
{"title":"High Altitude Cerebral Edema: Improving Treatment Options.","authors":"Rebecca Zelmanovich, Kevin Pierre, Patrick Felisma, Dwayne Cole, Matthew Goldman, Brandon Lucke-Wold","doi":"10.3390/biologics2010007","DOIUrl":"10.3390/biologics2010007","url":null,"abstract":"<p><p>High altitude illness in its most severe form can lead to high altitude cerebral edema (HACE). Current strategies have focused on prevention with graduated ascents, pharmacologic prophylaxis, and descent at first signs of symptoms. Little is understood regarding treatment with steroids and oxygenation being commonly utilized. Pre-clinical studies with turmeric derivatives have offered promise due to its anti-inflammatory and antioxidant properties, but they warrant validation clinically. Ongoing work is focused on better understanding the disease pathophysiology with an emphasis on the glymphatic system and venous outflow obstruction. This review highlights what is known regarding diagnosis, treatment, and prevention, while also introducing novel pathophysiology mechanisms warranting further investigation.</p>","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"3 1","pages":"81-91"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81657290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-23DOI: 10.1080/09535314.2022.2035689
Hui-Zheng Liu, Huibin Du, Zengkai Zhang, Huimin Wang, K. Zhu, Yaling Lu, Xi Liu
China is facing serious water scarcity, and the effects of international trade on its water resources have been widely examined. Processing exports account for nearly half of China’s gross exports. Adopting China’s multi-regional input–output table that captures processing exports, we enrich the literature on virtual water exports by accounting for trade heterogeneity. The results show that China’s virtual water exports show a significant trade heterogeneity. Normal and processing exports are attributed to 86.7% and 13.3% of the Agriculture sector’s water use induced by exports respectively. Conversely, normal and processing exports are attributed to 31.8% and 68.3% of the Communications Equipment, Computers sector’s water use induced by exports respectively. In addition, a cross-regional compensation is needed to deal with the unequal regional distribution of water uses and economic benefits related to exports.
{"title":"Trade heterogeneity and virtual water exports of China","authors":"Hui-Zheng Liu, Huibin Du, Zengkai Zhang, Huimin Wang, K. Zhu, Yaling Lu, Xi Liu","doi":"10.1080/09535314.2022.2035689","DOIUrl":"https://doi.org/10.1080/09535314.2022.2035689","url":null,"abstract":"China is facing serious water scarcity, and the effects of international trade on its water resources have been widely examined. Processing exports account for nearly half of China’s gross exports. Adopting China’s multi-regional input–output table that captures processing exports, we enrich the literature on virtual water exports by accounting for trade heterogeneity. The results show that China’s virtual water exports show a significant trade heterogeneity. Normal and processing exports are attributed to 86.7% and 13.3% of the Agriculture sector’s water use induced by exports respectively. Conversely, normal and processing exports are attributed to 31.8% and 68.3% of the Communications Equipment, Computers sector’s water use induced by exports respectively. In addition, a cross-regional compensation is needed to deal with the unequal regional distribution of water uses and economic benefits related to exports.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"35 1","pages":"397 - 416"},"PeriodicalIF":2.5,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48340873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-23DOI: 10.1080/09535314.2022.2034139
Lena Kilian, Anne Owen, A. Newing, D. Ivanova
To estimate household emissions from a consumption-perspective, national accounts are typically disaggregated to a sub-national level using household expenditure data. While limitations around using expenditure data are frequently discussed, differences in emission estimates generated from seemingly comparable expenditure microdata are not well-known. We compare UK neighbourhood greenhouse gas emission estimates derived from three such microdatasets: the Output Area Classification, the Living Costs and Food Survey, and a dataset produced by the credit reference agency TransUnion. Findings indicate moderate similarity between emission estimates from all datasets, even at detailed product and spatial levels; importantly, similarity increases for higher-emission products. Nevertheless, levels of similarity vary by products and geographies, highlighting the impact microdata selection can have on emission estimates. We focus our discussion on how uncertainty from microdata selection can be reduced in other UK and international contexts by selecting data based on the data generation process, the level of disaggregation needed, physical unit availability and research implications.
{"title":"Microdata selection for estimating household consumption-based emissions","authors":"Lena Kilian, Anne Owen, A. Newing, D. Ivanova","doi":"10.1080/09535314.2022.2034139","DOIUrl":"https://doi.org/10.1080/09535314.2022.2034139","url":null,"abstract":"To estimate household emissions from a consumption-perspective, national accounts are typically disaggregated to a sub-national level using household expenditure data. While limitations around using expenditure data are frequently discussed, differences in emission estimates generated from seemingly comparable expenditure microdata are not well-known. We compare UK neighbourhood greenhouse gas emission estimates derived from three such microdatasets: the Output Area Classification, the Living Costs and Food Survey, and a dataset produced by the credit reference agency TransUnion. Findings indicate moderate similarity between emission estimates from all datasets, even at detailed product and spatial levels; importantly, similarity increases for higher-emission products. Nevertheless, levels of similarity vary by products and geographies, highlighting the impact microdata selection can have on emission estimates. We focus our discussion on how uncertainty from microdata selection can be reduced in other UK and international contexts by selecting data based on the data generation process, the level of disaggregation needed, physical unit availability and research implications.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"35 1","pages":"325 - 353"},"PeriodicalIF":2.5,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43505366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-20DOI: 10.1080/09535314.2022.2026894
Daniel Herrero, Adrián Rial
This article analyzes the causes that affect the export performance of the German manufacturing sector. By applying a subsystem approach to input–output analysis, we take into account the interlinkages between manufacturing and services. In particular, we consider two types of relationships that influence manufacturing competitiveness: the wage squeeze in services due to institutional factors and outsourcing; and the role played by knowledge-intensive business services (KIBS) as innovation drivers. Taking vertically integrated sectors as units of analysis, an export model is estimated. We find that labor costs play only a minor role for international competitiveness, while non-price factors are the main drivers of German exports. Therefore, although the wage squeeze in services is the centerpiece in the unit labor costs and export prices moderation, it is of minor importance for export growth. Conversely, the growing integration of KIBS provides a strong stimulus for non-price competitiveness and export growth.
{"title":"Productive linkages in a segmented economy: the role of services in the export performance of German manufacturing","authors":"Daniel Herrero, Adrián Rial","doi":"10.1080/09535314.2022.2026894","DOIUrl":"https://doi.org/10.1080/09535314.2022.2026894","url":null,"abstract":"This article analyzes the causes that affect the export performance of the German manufacturing sector. By applying a subsystem approach to input–output analysis, we take into account the interlinkages between manufacturing and services. In particular, we consider two types of relationships that influence manufacturing competitiveness: the wage squeeze in services due to institutional factors and outsourcing; and the role played by knowledge-intensive business services (KIBS) as innovation drivers. Taking vertically integrated sectors as units of analysis, an export model is estimated. We find that labor costs play only a minor role for international competitiveness, while non-price factors are the main drivers of German exports. Therefore, although the wage squeeze in services is the centerpiece in the unit labor costs and export prices moderation, it is of minor importance for export growth. Conversely, the growing integration of KIBS provides a strong stimulus for non-price competitiveness and export growth.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"35 1","pages":"183 - 210"},"PeriodicalIF":2.5,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48805425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-18DOI: 10.1080/09535314.2021.2012430
Yuwan Duan, E. Dietzenbacher, B. Los, Cuihong Yang
We construct new interregional input–output tables for China, which can be used to analyze changes in the interindustry linkages within and between eight Chinese regions, and their consequences. We claim that analyses based on these tables yield more accurate results than analyses using existing interregional input–output tables for China, because our tables explicitly account for a typical feature of the Chinse economy: the importance of processing exports activities. These activities rely heavily on imported inputs and much less on inputs sourced from domestic regions. Accounting for such differences between processing exports and other production activities reduces aggregation biases. We illustrate the usefulness of the tables by computing supply chain fragmentation indices for China and quantifying the biases that are avoided by using our input–output tables instead of conventional ones. We make our tables (for 2002, 2007 and 2012) publicly available.
{"title":"Processing trade in Chinese interregional input–output tables: construction and application","authors":"Yuwan Duan, E. Dietzenbacher, B. Los, Cuihong Yang","doi":"10.1080/09535314.2021.2012430","DOIUrl":"https://doi.org/10.1080/09535314.2021.2012430","url":null,"abstract":"We construct new interregional input–output tables for China, which can be used to analyze changes in the interindustry linkages within and between eight Chinese regions, and their consequences. We claim that analyses based on these tables yield more accurate results than analyses using existing interregional input–output tables for China, because our tables explicitly account for a typical feature of the Chinse economy: the importance of processing exports activities. These activities rely heavily on imported inputs and much less on inputs sourced from domestic regions. Accounting for such differences between processing exports and other production activities reduces aggregation biases. We illustrate the usefulness of the tables by computing supply chain fragmentation indices for China and quantifying the biases that are avoided by using our input–output tables instead of conventional ones. We make our tables (for 2002, 2007 and 2012) publicly available.","PeriodicalId":47760,"journal":{"name":"Economic Systems Research","volume":"1 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43681236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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