A General Method to Assess Domestic Value-added in Exports When Processing Trade is Pervasive, with an Application to China Robert Koopman and Zhi Wang US International Trade Commission Shang-Jin Wei Columbia University, NBER, and CEPR The paper is a recipe with an illustration Growing up in a centrally planned economy, I was force-taught input-output tables and Leontief inverse as central planners love them as useful tools After coming to the United States, I eagerly embraced market economy and had resolved to never touch the input-output tables again… Imported inputs reduce value added in exports The story of an iPod/iPad …has been told too many times In trade statistics China’s export value =$150/unit Chinese value added = $4 iPods/iPads are assembled through processing trade How general is the iPod story? Presentation Outline Conceptual Framework Problems with Existing Method A new method Application to China Domestic content in China’s total exports By sector Conclusions and Future Research How to compute foreign content in exports? Existing Literature International Trade: “vertical specialization” Hummels, Ishii and Yi (JIE, 2001) - HIY for short Yi (JPE, 2003) Goh and Olivier (HEC France wp, 2004) Chinn (NBER wp, 2005) U.S. National Research Council (Nat Acad Press, 2006) Dean, Fung and Wang (ITC wp, 2007) Input-output models: “domestic/foreign content” Chen, X., L. Cheng, K.C. Fung and L. J. Lau. 2004 Lau L.J., X. Chen, L. K. Cheng, K. C. Fung, Y. Sung, C. Yang, K. Zhu, J. Pei and Z. Tang. 2007 How to compute foreign (and domestic) content in exports? The HIY approach assumes the same intensity in the use of imported inputs between all exports and domestic sales. Might not be appropriate for most countries “Duty drawback” -> use of more imported inputs in exports Especially inappropriate for developing countries with aggressive export promotion programs Mexico: Maquiladora China: pervasive processing trade How to compute foreign/domestic content in exports? Step 1: Recognize processing exports explicitly Tracking input-output coefficients and import coefficients separately for processing exports vs for normal exports and domestic sales Challenge: the new input-output coefficient matrices not collected by authorities Step 2: Estimate the new I/O coefficients Combine info from trade statistics with existing I/O tables The I/O model when processing exports are not explicitly recognized - the implicit approach by HIY (1) A X Y D (2) A X Y M D M (3) X M uA uA Av u D M Total production = dom sale +exports Total imports = final sale + use as intermediates Total cost of production = direct VA(cost of factors) +cost of intermediates AD = [aDij] = matrix of direct input coefficients of domestic products; AM = [aMij] is an matrix of direct input coefficients of imported goods; AD = [aDij] = matrix of direct input coefficients of domestic products; AM = [ aMij] ] is an matrix of direct input coefficients of imported goods; YD = vector of final demands for domestically produced products, including usage in gross capital formation, private and public consumption, and gross exports; YM = vector of final demands for imported products, including usages in gross capital formation, private and public final consumption; X is a vector of gross output; M is a vector of imports; Av = [avj] is a vector of each sector j’s ratio of value-added to gross output; The I/O model when processing exports are not explicitly recognized - the implicit approach by HIY The solution: D 1 X (I A ) Y D (M Y M ) AM ( I AD ) 1 Y D DVS Av X / Y Av ( I AD ) 1 D YD is a vector of final demands for domestic products, which includes domestic products used in gross capital formation, private and public final consumption, and gross exports; Define share of domestic value in exports Define share of domestic content (domestic value added) in final demand: DVS V / Y D Av X / Y D Av ( I AD ) 1 Share of foreign content: FVA = 1- DVA Assessing DVA/FVA when processing trade is pervasive: New approach Existing approach: Domestic final demand and all exports are assumed to have the same input-output matrix New approach Recognize processing exports Let processing exports have a potentially different I/O matrix (while still letting normal exports and domestic final demand to have the same matrix). This is not a trivial extension! Re-work the model when processing trade is recognized (1*) ADD ( X E P ) ADP E P Y D X (2*) AMD ( X E P ) AMP E P Y M M P (3*) ( ADP AMP )' E P A v EP EP D (4*) ( ADD AMD )' ( X E P ) A (5*) uA uA Av u, Dk Mk v (X EP) X EP k D, P Imported VA Share/Foreign content: generalize HIY Total imported intermediate inputs request: M Y M A MD ( I A DD ) 1 (Y D E N ) AMD (1 A DD ) 1 A DP E P A MP E p Total FVA(VS) share in a country’s exports by industry D T VSS VSS VSS P DD 1 uA ( I A ) MD uA (1 ADD ) 1 ADP uAMP MD T Total FVA (VS) share in a country’s aggregate exports N P E E TVSS uA MD ( I A DD ) 1 u ( A MD (1 A DD ) 1 A DP A MP ) te te This is a generalization of HIY(2001) When ADP=ADD, and AMP=AMD, TVSS reduces to the HIY formula When EP/te = 0, TVSS also reduces to the HIY formula Domestic content/DVA: generalizes the HIY formula Total DVA share in a country’s exports by industry D T DVS DVS DVS P DD 1 AV ( I A ) D P AV (1 ADD ) 1 ADP AV D T Total DVA share in a country’s aggregate exports N P E E D P TDVS AV ( I ADD ) 1 ( AV (1 ADD ) 1 ADP AV ) te te D Estimation Challenge Challenge: ADD, ADP, AMD, AMP, AVD, and AVP are not directly observable. Approach: Combine input-output tables (from NBS) with trade statistics To minimize squared errors in separating the processing exports input – output structure from a given national input-output account. Objective function: K K M in S = ( z ijdn z 0 ijdn ) 2 z0 i 1 j 1 K K + i=1 i=1 dn ij ( z ijmp z 0 ijmp ) 2 z0 mp ij K K ( z ijdp z 0 ijdp ) 2 i=1 j 1 K + j=1 (v nj v0 nj ) 2 v0 n j z0 dp ij K i 1 j 1 K (v jp v0 pj ) j 1 v0 pj K ( z ijmn z 0 ijmn ) z ijmn Constraints Four “balance” conditions: K (z j 1 dn ij z ) y dp ij e = xi (z p i e j 1 (z mn ij zijmp ) yim = mi K K j 1 K d n i i dn ij z ) v = xj mn ij n j e dp mp p p ( z z ) v = e ij ij j j p j i 1 Six adding up constraints K z j 1 mn ij K (z j 1 K mp z ij =m n i j 1 K dn ij =m p i z ) = z ij (min mip ) dp ij j 1 v nj v jp = v j yid yim = yi zijdn zijdp zijmn zijmp = zij Parameters and their data sources • • • • • • • • • • • x = Gross output by sector; (from IO table) z= Goods used as intermediate inputs in sector ; (from IO table) v= Value-added by sector ; (from IO table) en= Normal exports by sector ; (from IO table and trade statistics) ep = Processing exports by sector ; (from IO table and trade statistics) m= Total imports by sector ; (from IO table) mp= Imports by sector used as intermediate inputs to produce processing exports; (share from trade statistics) mn = Imports by sector used as intermediate inputs for domestic \production and normal exports; (share from trade statistics) y = Total final demand by sector; (includes consumption and investment, from IO table) ym = Final demand from imports by sector (residuals of m- mn - mp ) yd= Final demand by sector provided by domestic production (residual of y- ym); Let’s look at an application Aggregate By industry Chinese domestic content in its merchandise exports is increasing overtime 100 Percent of total exports 90 80 70 60 50 40 30 20 10 0 1997 Direct domestic value-added Direct foreign value-added 2002 2007 Indirect domestic value-added Indirect Foreign value-added HIY’s level of FVA (VS) share is under-estimated Upward trend in FVA is most likely incorrect 50 Percent of total exports 45 40 35 30 25 20 15 10 5 0 Total Foreign value-added HIY-1997 HIY-2002 HIY-2007 KWW-1997 KWW-2002 KWW-2007 Chinese domestic content is much lower in processing exports than in normal exports 100 90 Percent of total exports 80 70 60 50 40 30 20 10 0 Normal-1997 Processing 1997 Normal-2002 Total Foreign value-added Processing-2002 Normal-2007 Total Domestic Value-added Processing-2007 Should there be any trend in DVA share? Two opposing forces Domestic input producers get better over time But the cost of using imported inputs may get lower over time Decomposing Chinese Total Manufacturing Exports Differences between HIY and redefined measures 100 Percent of total exports 90 80 70 60 50 40 30 20 10 0 HIY-1997 HIY-2002 HIY-2006 Direct domestic value-added Direct foreign value-added KWW-1997 KWW-2002 KWW-2006 Indirect domestic value-added Indirect Foreign value-added Domestic Value-added Share in Chinese Merchandise Exports to its Major Trading Partners Low DVA share destinations, in percent, 2007 Hong Kong Singapore Processing exports as share of Chinese exports United States EU10 DVA as share of Chinese exports Malaysia Taiwan province Share as China’s exports to the World EU15 Japan 0 10 20 30 40 50 60 70 80 90 100 Domestic Value-added Share in Chinese Merchandise Exports to its Major Trading Partners High DVA share destinations, in percent, 2007 Russia Eastern Europe/Central Asia Processing exports as share of Chinese exports Sub-Saharan Africa Middle East/North Africa DVA as share of Chinese exports Rest Asia Rest of Latin Amer/Caribbean Share as China’s exports to the World Indonesia India 0 10 20 30 40 50 60 70 80 90 100 Domestic Value-added Share in Chinese Merchandise Exports by Firm Ownership in percent, 2007 Private Firms High DVA share destinations, in percent, 2007 Processing exports as share of Chinese exports Collectively Owned Firms State Owned Firms DVA as share of Chinese exports Joint Venture Firms Share as China’s exports to the World Wholly Foreign Owned 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0 Conclusions Across all products, the average share of imported value added is about 50-60% for China. The FVA share varies across products Relatively more sophisticated sectors are more likely to have a high FVA share (e.g., consumer electronics, 65%, and computers, 83%) One could combine it with regional inputoutput matrices, or incorporate it in a global analysis such as the KPWW framework For products with a high foreign content, Japan, Korea, Taiwan, Hong Kong and the U.S. are the primary contributors to foreign content Thank you.
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