Re-measuring Status of China＇s High-Tech Industries in International Division of Labor： Applying a Non-Competitive Input-Output Model

Based on a refined ＂non-competitive input-output model,＂ this paper proposes a new framework for analyzing the status of a country＇s high-tech industries in the international division of labor, i.e. calculates the index of＂ weighted value-added productivity ＂ by compiling non-competitive input-output tables which distinguish high-tech industries from traditional industries. The new method effectively avoids ＂statistical illusion＂ which stems from a biased focus on gross exports under intra-product specialization. The empirical study shows that since 1995, the status of China＇s high-tech industries has grown quickly as a result of enhanced labor productivity, but still lags behind those of major developed countries. In addition, the study also suggests that the status of China＇s high-tech industries has been over-estimated using the traditional gross export statistical method.

Input-occupancy-output models of the non-competitive type and their application - an examination of the China-US trade surplus

In this paper we construct an extended non-competitive input-occupancy-output model that captures China＇s processing trade and also develop a methodology to estimate the domestic value-added and employment generated by each unit of total exports, of exports by sector, and of exports by commodity, respectively. We also prove mathematically that the gross value of exports is equal to the sum of total value added and total imports. Based on the methodology proposed here, we compile the 2002 extended Chinese non-competitive input-occupancy-output table and the United States non-competitive input-occupancy- output table, and then estimate and analyze the effects of China＇s exports and US exports on their respective domestic value added and employment.

OPTIMIZING CHINA'S EXPORT STRUCTURE COMBINING GOAL PROGRAMMING AND NON-COMPETITIVE INPUT-OUTPUT MODEL

supported by the Taishan Scholar Construction Engineering by Shandong Government the National Natural Science Foundation of China under Grant Nos.61120106011 and 61203029

Efficiency and convergence of China’s export trade embodied carbon emissions

Based on the input-output data from 2002 to 2017,this paper combined the three-stage DEA model with the non-competitive I-O model and measured the embodied carbon efficiency of export trade in China’s 26 product sectors,and further investigated its influencing factors and convergence issues.The results of the study showed that:①The embodied carbon efficiency of export trade in China’s overall product sector demonstrated a positive development trend from 2002 to 2017,and this positive trend was more obvious after the implementation of conservation culture construction in 2012.But the differences of embodied carbon emission efficiency level among the product sectors were still significant.②Measured by the K-means clustering analysis method,this study found that agriculture,other service industries,wholesale and retail industries,catering industry,construction industry and manufacturing industry with strong innovation ability were mostly concentrated at high and medium efficiency levels,while industrial sectors with resource dependence and high energy consumption,such as metal smelting and rolling processing industries,non metallic mineral products industry,and coal mining industry,were at a low efficiency level.③All product sectors hadσconvergence,absoluteβconvergence and conditionalβconvergence during 2002-2010 and 2010-2017,and the level of each product sector in 2010-2017 was higher than that in 2002-2010 according to the perspective of convergence speed and degree of convergence.④Technological progress had not fully played a role in suppressing energy consumption and improving the efficiency of embodied carbon efficiency,and it would also widen the gap between the embodied carbon emission efficiency levels of various product sectors.The expansion of trade scale could effectively improve carbon emission efficiency and narrow the gap between sectors.Environmental regulation could effectively promote the improvement of embodied carbon emission efficiency but would widen the level gap between sectors.These findings indicate that China needs to build a sound environmental regulation system for the development of low-carbon trade,continue to reasonably expand the scale of trade,eliminate backward industries with production capacity,vigorously develop low-carbon technologies such as new energy,strengthen the exchange of low carbon technologies and industrial cooperation among sectors,and promote coordinated development among industries.

Research on carbon emissions embodied in China-Russia trade under the background of the Belt and Road

Based on the latest China-Russia input-output data sets over the period from 2007 to 2015,this study quantified the flow of embodied carbon emissions in China-Russia trade using the emission embodied in bilateral trade(EEBT)approach.In addition,the structural decomposition analysis(SDA)was employed to identify the potential driving factors that affect embodied carbon in imports and exports.The results showed as follow.1)China was a net exporter of carbon emissions in bilateral trade between China and Russia during 2007–2015.Despite that the bilateral trade scale had expanded considerably,the net export volume of CO_(2)from China to Russia decreased from 13.21 Mt in 2007 to 4.45 Mt in 2015.2)From the perspective of different sectors,the metal manufacturing and the chemical sectors of China and Russia were the main sources of CO_(2)emissions.3)In terms of driving factors,it was found that the carbon emission coefficient was the main reason for contributing to embodied emission reduction.Moreover,the contribution rate of carbon emission coefficient to reduce the carbon emissions in imports reached to 95.26%,as well as 108.22%in exports.The bilateral trade scale was the main driver for the increase in embodied carbon emissions,and the contribution rate to embodied carbon emissions in imports and exports were 14.80%and 65.17%,respectively.4)This study argued that China and Russia should further optimize the energy structure and improve the energy efficiency and intermediate technology in the future.

Analysis of the Pull Effect of Local Government Special-Purpose Bond Investment on Economic Growth Under the Input-Output Framework

In this paper,we discuss the development process of local government special bonds,and the role channels of local government special debt investment in driving China’s economic growth.Based on the specific decomposition of Xinjiang local government special bond investment,this paper uses the non-competitive input-output model for the first time to analyze the net pulling effect of Xinjiang local government special bond investment on Xinjiang’s GDP and employment in 2020.Two measure calibers are set in this paper based on whether the financing costs are considered or not;in addition,we set up four scenarios based on two conditions:Whether to consider retained fun and whether to consider using special-purpose bond investment to leverage social capital.The results show that:1)when financing costs are not considered,the RMB77.4 billion local government special-purpose bonds can push the GDP of Xinjiang to grow by RMB42.27 billion,RMB35.12 billion,RMB77.548billion and RMB69.34 billion respectively under the four scenarios;2)when financing costs are not considered,the number of jobs driven by the RMB77.4 billion local government special-purpose bonds was respectively 372,300,324,500,718,500 and 601,300 in the four scenarios;3)when financing costs are considered,the RMB77.4 billion local government special-purpose bonds can push the GDP of Xinjiang to grow by RMB71.876 billion and RMB64.268 billion under scenario 3)and scenario 4).