Productivity and international energy price shocks are reflected in PPI and CPI via industrial chains.China’s in-depth participation into the global value chains has increasingly lengthened its industrial production ...Productivity and international energy price shocks are reflected in PPI and CPI via industrial chains.China’s in-depth participation into the global value chains has increasingly lengthened its industrial production chains.The question is how the changing length of production chains will affect CPI and PPI,as well as CPI-PPI correlation?By constructing a global input-output price model,this paper offers a theoretical discussion on the impact of production chain length on the CPI-PPI divergence.Our findings suggest that the price shock of international bulk commodities has a greater impact on China’s PPI than that on CPI.The effects on both China’s PPI and CPI estimated by using the single-country input-output model are higher than the results estimated with the global input-output model.However,the difference between CPI and PPI variations estimated with the global input-output model is greater than the result estimated with the single-country input-output model,which supports the view that the lengthening of production chains,especially international production chains,leads to a divergence between CPI and PPI.Empirical results based on cross-national panel data also suggest that the lengthening of production chains has reduced the CPI-PPI correlation for countries,i.e.the lengthening of production chains has increased the PPI-CPI divergence.That is to say,policymakers should target not just CPI in maintaining price stability,but instead focus on the stability of both PPI and CPI.Efforts can be made to proactively adjust the price index system,and formulate the industrial chain price index.展开更多
By building a composite index for measuring national digital economy development and sectoral digital intensities,this paper derives metrics of industry-level digital economy penetration under the framework of special...By building a composite index for measuring national digital economy development and sectoral digital intensities,this paper derives metrics of industry-level digital economy penetration under the framework of specialization within global value chains(GVCs),systematically analyzes the mechanisms through which digital economy development affects GVCs upstreamness,and examines the moderating effect of institutional quality.The study shows that different dimensions of digital economy development significantly boost GVCs upstreamness,a conclusion that holds even after accounting for endogeneity through dynamic panel models with instrumental variables based on past data.Further research shows that technological innovation capabilities and resource allocation efficiency have gradually become important channels for digital economy development to boost GVCs upstreamness.Adding indicators on institutional quality reveals that greater institutional quality not only directly promotes GVCs upstreamness but also reinforces the impact of digital economy development on higher GVCs positioning.展开更多
The depth and breadth of participation in the global value chain(GVC)significantly impacts a country's fine particulate contamination(PM_(2.5))emissions.First,based on the GVC accounting framework,the sources of P...The depth and breadth of participation in the global value chain(GVC)significantly impacts a country's fine particulate contamination(PM_(2.5))emissions.First,based on the GVC accounting framework,the sources of PM_(2.5) emissions in China between 1990 and 2015 are identified and investigated considering production-side,consumption-side,and export-implied pollution.Then,index decomposition analysis(IDA)of emissions is conducted to further investigate the changes in and causes of air pollution in China.Throughout the analytical process,differences between the PM_(2.5) emissions in two time periods-one of rapid economic growth and another of the“new normal”economy-are compared.The results demonstrate that:China is embedded in high pollution links of GVCs;China transfers pollution to third-parties by importing intermediate products from resource-intensive countries in the global production system;extensive economic growth caused an increase in China's total PM_(2.5) emissions,but cleaner production technology can reduce the emissions intensity.Industrial restructuring under the“new normal”has increased China's short-term PM_(2.5) emissions intensity.These results suggest that China should optimize and upgrade its domestic economic structure and transform its export growth mode to deliver high added value and low pollution.Further,it should prioritize cooperation between the upstream and downstream value chain and accelerate the upgrading of its consumption structure in this new era.展开更多
借鉴Fally et al.(2013)的研究方法,以世界投入产出数据库相关数据为研究样本,对2000—2014年间43个国家(地区)农业全球价值链长度进行测算与分解,并测算出相应农业上游度水平,同时实证检验了农业嵌入全球价值链的位置与其增值能力的关...借鉴Fally et al.(2013)的研究方法,以世界投入产出数据库相关数据为研究样本,对2000—2014年间43个国家(地区)农业全球价值链长度进行测算与分解,并测算出相应农业上游度水平,同时实证检验了农业嵌入全球价值链的位置与其增值能力的关系。结果表明,农业增值能力与农业上游度水平呈"倒U型"关系,农业技能劳动投入比例上升,有利于提升农业增值能力,而农业价值链长度延伸则会制约农业增值能力提升。展开更多
基金the Special Project of the National Science Foundation of China(NSFC)“Open Development of China’s Trade and Investment:Basic Patterns,Overall Effects,and the Dual Circulations Paradigm”(Grant No.72141309)NSFC General Project“GVC Restructuring Effect of Emergent Public Health Incidents:Based on the General Equilibrium Model Approach of the Production Networks Structure”(Grant No.72073142)+1 种基金NSFC General Project“China’s Industrialization Towards Mid-and High-End Value Chains:Theoretical Implications,Measurement and Analysis”(Grant No.71873142)the Youth project of The National Social Science Fund of China“Research on the green and low-carbon development path and policy optimization of China’s foreign trade under the goal of‘dual carbon’”(Grant No.22CJY019).
文摘Productivity and international energy price shocks are reflected in PPI and CPI via industrial chains.China’s in-depth participation into the global value chains has increasingly lengthened its industrial production chains.The question is how the changing length of production chains will affect CPI and PPI,as well as CPI-PPI correlation?By constructing a global input-output price model,this paper offers a theoretical discussion on the impact of production chain length on the CPI-PPI divergence.Our findings suggest that the price shock of international bulk commodities has a greater impact on China’s PPI than that on CPI.The effects on both China’s PPI and CPI estimated by using the single-country input-output model are higher than the results estimated with the global input-output model.However,the difference between CPI and PPI variations estimated with the global input-output model is greater than the result estimated with the single-country input-output model,which supports the view that the lengthening of production chains,especially international production chains,leads to a divergence between CPI and PPI.Empirical results based on cross-national panel data also suggest that the lengthening of production chains has reduced the CPI-PPI correlation for countries,i.e.the lengthening of production chains has increased the PPI-CPI divergence.That is to say,policymakers should target not just CPI in maintaining price stability,but instead focus on the stability of both PPI and CPI.Efforts can be made to proactively adjust the price index system,and formulate the industrial chain price index.
基金This study is supported by the National Social Science Foundation(NSSF)Project“Impact of Services Liberalization in High-quality Development Stage on Chinese Industry Upgrading(No.18AJY012).”
文摘By building a composite index for measuring national digital economy development and sectoral digital intensities,this paper derives metrics of industry-level digital economy penetration under the framework of specialization within global value chains(GVCs),systematically analyzes the mechanisms through which digital economy development affects GVCs upstreamness,and examines the moderating effect of institutional quality.The study shows that different dimensions of digital economy development significantly boost GVCs upstreamness,a conclusion that holds even after accounting for endogeneity through dynamic panel models with instrumental variables based on past data.Further research shows that technological innovation capabilities and resource allocation efficiency have gradually become important channels for digital economy development to boost GVCs upstreamness.Adding indicators on institutional quality reveals that greater institutional quality not only directly promotes GVCs upstreamness but also reinforces the impact of digital economy development on higher GVCs positioning.
基金This paper was supported by the National Natural Science Foundation of China[Grant number.72173100,71703130,71803159,71903157]The Soft Science Research Program of Sichuan Province[Grant number.2021JDR0133]the Fundamental Research Funds for the Central Universities[Grant number.JBK2103003,JBK1805006].
文摘The depth and breadth of participation in the global value chain(GVC)significantly impacts a country's fine particulate contamination(PM_(2.5))emissions.First,based on the GVC accounting framework,the sources of PM_(2.5) emissions in China between 1990 and 2015 are identified and investigated considering production-side,consumption-side,and export-implied pollution.Then,index decomposition analysis(IDA)of emissions is conducted to further investigate the changes in and causes of air pollution in China.Throughout the analytical process,differences between the PM_(2.5) emissions in two time periods-one of rapid economic growth and another of the“new normal”economy-are compared.The results demonstrate that:China is embedded in high pollution links of GVCs;China transfers pollution to third-parties by importing intermediate products from resource-intensive countries in the global production system;extensive economic growth caused an increase in China's total PM_(2.5) emissions,but cleaner production technology can reduce the emissions intensity.Industrial restructuring under the“new normal”has increased China's short-term PM_(2.5) emissions intensity.These results suggest that China should optimize and upgrade its domestic economic structure and transform its export growth mode to deliver high added value and low pollution.Further,it should prioritize cooperation between the upstream and downstream value chain and accelerate the upgrading of its consumption structure in this new era.
文摘借鉴Fally et al.(2013)的研究方法,以世界投入产出数据库相关数据为研究样本,对2000—2014年间43个国家(地区)农业全球价值链长度进行测算与分解,并测算出相应农业上游度水平,同时实证检验了农业嵌入全球价值链的位置与其增值能力的关系。结果表明,农业增值能力与农业上游度水平呈"倒U型"关系,农业技能劳动投入比例上升,有利于提升农业增值能力,而农业价值链长度延伸则会制约农业增值能力提升。
