ECONOMICS WORKING PAPER SERIES

 

ANALYSIS OF EMPLOYMENT CHANGES OVER TIME
IN THE U.S. MOTOR VEHICLE INDUSTRY

 

David Coffin
Tamar Khachaturian
David Riker

 

Working Paper 2016-08-A

 

U.S. INTERNATIONAL TRADE COMMISSION

500 E Street SW

Washington, DC 20436

August 2016

 

 

 

Special thanks to Martha Lawless, Deborah McNay, James Stamps, and Ravinder Ubee for comments and assistance with this working paper.

Office of Economics working papers are the result of ongoing professional research of USITC Staff and are solely meant to represent the opinions and professional research of individual authors. These papers are not meant to represent in any way the views of the U.S. International Trade Commission or any of its individual Commissioners. Working papers are circulated to promote the active exchange of ideas between USITC Staff and recognized experts outside the USITC and to promote professional development of Office Staff by encouraging outside professional critique of staff research.

Analysis of Employment Changes over Time in the U.S. Motor Vehicle Industry

David Coffin, Tamar Khachaturian, and David Riker

Office of Economics Working Paper 2016-08-A

August 2016

ABSTRACT

 

Over the period from 1997 to 2014, U.S. employment in the combined motor vehicle industry declined from 932,265 to 719,983 employees. During this time, significant changes in trade and non-trade factors occurred that have likely impacted employment, such as the value and composition of U.S. imports and exports and the intensified use of technology in manufacturing which increased labor productivity in some segments of the industry. This analysis decomposes the annual growth rates of employment in three separate segments of the combined motor vehicle industry into the contributions from international trade, labor productivity, and total U.S. consumption. Employment fell in both the motor vehicle and the parts manufacturing segments during this period. Labor productivity gains and increased imports both contributed to the employment declines, with labor productivity associated with a larger decline in employment. In both segments, higher domestic consumption played a larger role than increased exports in offsetting part of the employment declines. On the other hand, the vehicle body manufacturing segment posted an employment increase during this period. In this segment, employment gains from increased domestic consumption and exports offset the reductions in employment from gains in labor productivity.

 

David Coffin

Office of Industries, Advanced Technology and Machinery Division

David.Coffin@usitc.gov

 

Tamar Khachaturian

Office of Industries, Services Division

Tamar.Khachaturian@usitc.gov

 

David Riker

Office of Economics, Research Division

David.Riker@usitc.gov


 

Introduction


The expansion in international trade in motor vehicles has coincided with persistent declines in U.S. employment in the combined industry. Between 1997 and 2014, total U.S. imports of motor vehicles, bodies, and parts increased a cumulative 128.3 percent ($169 billion), and U.S. exports increased a cumulative 111.0 percent ($69 billion).[1] During the same time, employment declined a cumulative 22.8 percent, from 932,265 to 719,983 employees (figure 1).

Figure 1. U.S. employment: motor vehicles, parts, and bodies (1997 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugGbabaaaaaaaaapeGaa83eGaaa@3A8C@ 2014)

Title: Figure 1. U.S. employment: motor vehicles, parts, and bodies (1997-2014) - Description: Figure 1 shows changes in motor vehicle manufacturing employment, separating vehicle,  bodies, and parts and parts manufacturing employment from 1997 to 2014. Employment in motor vehicle manufacturing declined from 650,000 in 1997 to just over 500,000 in 2014. Body manufacturing stayed level at nearly 43,000 employees, while parts manufacturing declined from 236,000 employees to 176,000 employees.

Source: U.S. Census, ASM (accessed July 1, 2016). Corresponds to table A.1 in the appendix.


While part of the change in industry employment is likely tied to the growth of international trade, it also reflects improvements in labor productivity in the industry and in total consumption of motor vehicles in the U.S. market. This research note uses a growth accounting framework to quantify the relative contributions of changes in trade, technology, and total consumption MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ in some cases positive, in others negative MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ to the historical declines in industry employment. An increase in consumption in the United States due to an increase in aggregate demand increases labor demand and therefore employment in the U.S. industry. Likewise, an increase in U.S. exports due to an increase in foreign demand increases employment in the U.S. industry. On the other hand, an increase in imports due to a reduction in foreign costs of production generally reduces employment in the U.S. industry. Finally, an increase in labor productivity in the United States could increase or reduce employment in the U.S. industry depending on the price sensitivity of the demand for the product.

Segments of the U.S. Motor Vehicle Industry


The manufacture of U.S. motor vehicles in the United States is reported in NAICS codes 3361, 336211, and 3363.[2] NAICS code 3361 (motor vehicle manufacturing) encompasses the manufacturing of passenger vehicles, heavy trucks, and buses. NAICS code 336211 covers the manufacturing of vehicle bodies. NAICS code 3363 (motor vehicle parts manufacturing) covers manufacturing of major motor vehicle systems, but may not include all of the indirect inputs such as steel. Table 1 reports the relative size of these three distinct segments and their engagement in international trade.

Table 1. Statistics for the U.S. Motor Vehicle Industry, by Segment in 2014

 

NAICS 3361

Motor Vehicle Manufacturing

NAICS 336211

Motor Vehicle Body Manufacturing

NAICS 3363
Motor Vehicle Parts Manufacturing

Industry Employment (thousand)

176,001

42,917

501,065

Total Value of Shipments (million dollars)

307,269

13,225

244,688

Exports (million dollars)

72,797

452

53,180

Imports (million dollars)

190,764

784

106,487

Source: U.S. Census, ASM (accessed July 1, 2016); USITC DataWeb/USDOC (accessed July 1, 2016).

 

The data on the annual value of shipments and employment of the U.S. producers are from the Annual Survey of Manufactures and the Economic Census for 1997 through 2014. The data on the annual value of U.S. imports and exports are from the USITC’s Trade Dataweb. They are the landed duty-paid value of U.S. imports for consumption and the free alongside ship value of U.S. domestic exports of these industries from 1997 to 2014.

Evolution of the U.S. Motor Vehicle Industry

This section provides a short discussion of trends in each of the components of the employment analysis: imports, exports, labor productivity, and domestic consumption. Then the following section quantifies the contribution of these trends to changes in industry employment.

Imports

U.S. imports of vehicles, parts, and bodies all increased significantly during the 1997 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ 2014 period. On a percentage basis U.S. parts imports increased the most (202 percent) to over $106 billion, while the $95 billion increase in the absolute value of vehicle imports to nearly $191 billion in 2014 was greater than the other two NAICS codes (figure 2). U.S. imports of bodies are relatively insignificant because bodies are typically produced at the assembly plant by the vehicle manufacturer and are thus unlikely to cross borders.[3]

Figure 2. U.S. imports of motor vehicles, parts, and bodies (1997 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugGbabaaaaaaaaapeGaa83eGaaa@3A8C@ 2014)

Title: Figure 2. U.S. imports of motor vehicles, parts, and bodies (1997-2014) - Description: Figure 2 shows increased U.S. imports of motor vehicles, bodies, and parts from 1997 to 2014. Motor vehicle imports nearly doubled from 100 billion to just under $200 bilion, while parts imports more than doubled to over $100 billion.

Source: USITC Dataweb (accessed July 12, 2016). Imports for consumption used. Corresponds to table A.2 in the appendix.


The four largest sources for U.S. imports of motor vehicles, parts, and bodies in 2014 were Mexico, Canada, China, and Japan. Canada and Mexico, along with the United States, are part of North America’s integrated motor vehicle supply chain, with vehicles and parts traded freely between the three countries.[4] Mexico has become the leading supplier of parts and vehicles to the United States, rising from third largest in 1997. China is currently the third largest source of vehicle parts to the United States, supplying over $12 billion in 2014, compared to $300 million in 1997.[5] Japan is also a significant supplier of vehicles and parts to the United States. However, Japanese companies have invested heavily in Mexico and Canada in recent years, which have likely redirected supply to the United States to come from those countries rather than directly from Japan.[6]

Exports

U.S. exports of motor vehicles, parts, and bodies have increased significantly, from less than $61 billion in 1997 to more than $126 billion in 2014. U.S. exports of motor vehicles increased the most, growing from $24 billion in 1997 to $73 billion in 2014 (figure 3).

Figure 3. U.S. exports of motor vehicles, parts, and bodies (1997 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugGbabaaaaaaaaapeGaa83eGaaa@3A8C@ 2014)

Title: Figure 3. U.S. exports of motor vehicles, parts, and bodies (1997-2014) - Description: Figure 3 shows U.S. exports of motor vehicles, bodies, and parts from 1997 to 2014. Motor vehicle exports nearly tripled in this time period to over $70 billion, while parts exports increased by more than 50 percent. Exports of bodies were minimal.

Source: USITC Dataweb (accessed July 12, 2016). Domestic exports used. Corresponds to table A.3 in the appendix.

The four largest destinations for exports of products of vehicles, parts, and bodies in 2014 were Canada, Mexico, China, and Germany. Due to the integration of the North American supply chain discussed above, Canada and Mexico are also top destinations for U.S. exports. Canada is the leading U.S. market for these exports of all three categories, whereas Mexico is one of the top four destinations for all three categories. China, the world’s largest single-country vehicle market, is a major destination for U.S. vehicles and part exports, ranking as the second largest market for U.S. motor vehicle exports, and third largest for motor vehicle parts exports. Germany is the third largest U.S. market for motor vehicle exports, but U.S. exports of motor vehicle bodies and parts to Germany total less than $1 billion.

Consumption

Consumption of goods in this industry is primarily driven by macroeconomic trends. When the economy is growing, consumers purchase vehicles. When consumers purchase vehicles, manufacturers purchase parts. When consumers stop purchasing vehicles, manufacturers stop purchasing parts, as occurred during the economic downturn (figure 4).

Figure 4. U.S. consumption: motor vehicles, parts, and bodies (1997 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugGbabaaaaaaaaapeGaa83eGaaa@3A8C@ 2014)

Title: Figure 4. U.S. consumption: motor vehicles, parts, and bodies (1997-2014) - Description: Figure 4 shows estimated U.S. consumption of motor vehicles, bodies, and parts from 1997 to 2014. Outside of a decline because of the economic downturn in 2007 to 2010, consumption steadily increased for all three, with vehicles consumption increasing from $291 billion to $425 billion, and parts consumption increasing from $177 billion to $297 billion. Body consumption also increased from $9 billion to $13.2 billion.

Source: U.S. Census, ASM and U.S. International Trade Commission Dataweb (accessed July 1, 2016). Note: Total consumption is measured as total shipments of the U.S. industry minus U.S. exports plus U.S. imports. Corresponds to table A.4 in the appendix.

 

Productivity

During the 1997 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ 2014 period, labor productivity in all three industry segments increased (figure 5). Several factors have likely contributed to these improvements in productivity. First, there has been a rise in the use of technology MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ including robotics, automation, and digital technologies MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ in the production of vehicles and parts. The motor vehicle industry is the top purchaser of industrial robots, and installations of industrial robots increased significantly between 2010 and 2014.[7] Further, many vehicle manufacturers upgraded assembly plants to be more flexible, allowing different vehicle models to be produced on the same assembly line.[8] This flexibility reduces the need for different plants for each specific model and helps manufacturers to redistribute assembly based on demand. Also, upgraded plants operating at higher production capacities were likely one of the factors in increased productivity. Finally, the closure of older plants reduced overall production capacity, but likely contributed to capacity utilization rising to 77 percent for all motor vehicle and parts manufacturing in 2014, a level not seen since the first quarter of 2005.[9] Productivity in the remaining plants was likely higher than those that were closed during the economic downturn.

Figure 5. U.S. labor productivity: motor vehicles, parts, and bodies (1997 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugGbabaaaaaaaaapeGaa83eGaaa@3A8C@ 2014)

Title: Figure 5. U.S. labor productivity: motor vehicles, parts, and bodies (1997-2014) - Description: alt-text figure 5 shows increased productivity from 1997 to 2014 for motor vehicles, bodies, and parts. Motor vehicle and parts productivity increased by over 90 percent each, while productivity for bodies increased 36 percent.

Source: U.S. Bureau of Labor Statistics, Labor Productivity and Costs Database. Corresponds to table A.5 in the appendix.

Framework for Analyzing the Changes in Industry Employment


We model the average annual percent changes in industry employment as a combination of the percent changes in several components MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ (1) labor productivity, (2) total U.S. consumption of the products of the industry, (3) U.S. exports of the products of the industry, and (4) the U.S. imports of these products MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqefmuyTjMCPf gaiuaajugybabaaaaaaaaapeGaa83eGaaa@3A6C@ based on a mathematical accounting relationship between the industry variables. The model quantifies the contributions of the components to the whole, based on the growth rates of the components and their initial size relative to total industry shipments.

Equation (1) defines the value of output per worker in segment j  MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamOAaiaabckaaaa@381E@ in year t MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamiDaaaa@3705@ :

P jt   L jt = X jt + C jt M jt E jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gaamiua8aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaGcpeGaaeiO aiaadYeapaWaaSbaaSqaa8qacaWGQbGaamiDaaWdaeqaaOWdbiabg2 da9maalaaapaqaa8qacaWGybWdamaaBaaaleaapeGaamOAaiaadsha a8aabeaak8qacqGHRaWkcaWGdbWdamaaBaaaleaapeGaamOAaiaads haa8aabeaak8qacqGHsislcaWGnbWdamaaBaaaleaapeGaamOAaiaa dshaa8aabeaaaOqaa8qacaWGfbWdamaaBaaaleaapeGaamOAaiaads haa8aabeaaaaaaaa@4D28@ (1)

L jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gaamita8aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaaaaa@391F@ is labor productivity, defined as physical output per worker, and P jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gaamiua8aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaaaaa@3923@ is the price of the product. The numerator on the right-hand side of equation (1), U.S. exports X jt   MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gaamiwa8aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaGcpeGaaeiO aaaa@3A68@ plus total U.S. consumption C jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gaam4qa8aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaaaaa@3916@ minus U.S. imports M jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gaamyta8aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaaaaa@3920@ , is equal to total shipments of the segment. E jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gaamyra8aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaaaaa@3918@ is employment in the segment. Equation (1) implicitly defines the price index   P jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaaeiOaiaadcfapaWaaSbaaSqaa8qacaWGQbGaamiDaaWdaeqaaaaa @3A46@ as a function of the other variables.

Equation (2) is an expression for employment in segment j  MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamOAaiaacckaaaa@381F@ based on equation (1).
E jt = 1 L jt  ( X jt P jt + C jt P jt M jt P jt ) MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gaamyra8aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaGcpeGaeyyp a0ZaaSaaa8aabaWdbiaaigdaa8aabaWdbiaadYeapaWaaSbaaSqaa8 qacaWGQbGaamiDaaWdaeqaaaaak8qacaqGGcWaaeWaa8aabaWdbmaa laaapaqaa8qacaWGybWdamaaBaaaleaapeGaamOAaiaadshaa8aabe aaaOqaa8qacaWGqbWdamaaBaaaleaapeGaamOAaiaadshaa8aabeaa aaGcpeGaey4kaSYaaSaaa8aabaWdbiaadoeapaWaaSbaaSqaa8qaca WGQbGaamiDaaWdaeqaaaGcbaWdbiaadcfapaWaaSbaaSqaa8qacaWG QbGaamiDaaWdaeqaaaaak8qacqGHsisldaWcaaWdaeaapeGaamyta8 aadaWgaaWcbaWdbiaadQgacaWG0baapaqabaaakeaapeGaamiua8aa daWgaaWcbaWdbiaadQgacaWG0baapaqabaaaaaGcpeGaayjkaiaawM caaaaa@56B3@ (2)

Equation (3) relates the percent changes in industry employment to the percent changes in the price-deflated values of the other variables, based on a log-linearization of equation (2).
E ^ jt ( X j,t1 V j,t1 ) X ^ jt ( M j,t1 V j,t1 ) M ^ jt +( C j,t1 V j,t1 ) C ^ jt L ^ jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gabmyra8aagaqcamaaBaaaleaapeGaamOAaiaadshaa8aabeaak8qa cqGHfjcqdaqadaWdaeaapeWaaSaaa8aabaWdbiaadIfapaWaaSbaaS qaa8qacaWGQbGaaiilaiaadshacqGHsislcaaIXaaapaqabaaakeaa peGaamOva8aadaWgaaWcbaWdbiaadQgacaGGSaGaamiDaiabgkHiTi aaigdaa8aabeaaaaaak8qacaGLOaGaayzkaaGabmiwa8aagaqcamaa BaaaleaapeGaamOAaiaadshaa8aabeaak8qacqGHsisldaqadaWdae aapeWaaSaaa8aabaWdbiaad2eapaWaaSbaaSqaa8qacaWGQbGaaiil aiaadshacqGHsislcaaIXaaapaqabaaakeaapeGaamOva8aadaWgaa WcbaWdbiaadQgacaGGSaGaamiDaiabgkHiTiaaigdaa8aabeaaaaaa k8qacaGLOaGaayzkaaGabmyta8aagaqcamaaBaaaleaapeGaamOAai aadshaa8aabeaak8qacqGHRaWkdaqadaWdaeaapeWaaSaaa8aabaWd biaadoeapaWaaSbaaSqaa8qacaWGQbGaaiilaiaadshacqGHsislca aIXaaapaqabaaakeaapeGaamOva8aadaWgaaWcbaWdbiaadQgacaGG SaGaamiDaiabgkHiTiaaigdaa8aabeaaaaaak8qacaGLOaGaayzkaa Gabm4qa8aagaqcamaaBaaaleaapeGaamOAaiaadshaa8aabeaak8qa cqGHsislceWGmbWdayaajaWaaSbaaSqaa8qacaWGQbGaamiDaaWdae qaaaaa@70D4@ (3)

where V j,t1 = X j,t1 + C j,t1 M j,t1 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamOva8aadaWgaaWcbaWdbiaadQgacaGGSaGaamiDaiabgkHiTiaa igdaa8aabeaak8qacqGH9aqpcaWGybWdamaaBaaaleaapeGaamOAai aacYcacaWG0bGaeyOeI0IaaGymaaWdaeqaaOWdbiabgUcaRiaadoea paWaaSbaaSqaa8qacaWGQbGaaiilaiaadshacqGHsislcaaIXaaapa qabaGcpeGaeyOeI0Iaamyta8aadaWgaaWcbaWdbiaadQgacaGGSaGa amiDaiabgkHiTiaaigdaa8aabeaaaaa@4EE9@ is the value of domestic shipments of segment j MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamOAaaaa@36FB@ in year t1 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamiDaiabgkHiTiaaigdaaaa@38AD@ . E ^ jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gabmyra8aagaqcamaaBaaaleaapeGaamOAaiaadshaa8aabeaaaaa@3928@ represents the percent change in employment in segment  j MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaaeiOaiaadQgaaaa@381E@ from year t1 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamiDaiabgkHiTiaaigdaaaa@38AD@ to year t MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamiDaaaa@3705@ , E jt E j,t1 E j,t1 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape WaaSaaa8aabaWdbiaadweapaWaaSbaaSqaa8qacaWGQbGaamiDaaWd aeqaaOWdbiabgkHiTiaadweapaWaaSbaaSqaa8qacaWGQbGaaiilai aadshacqGHsislcaaIXaaapaqabaaakeaapeGaamyra8aadaWgaaWc baWdbiaadQgacaGGSaGaamiDaiabgkHiTiaaigdaa8aabeaaaaaaaa@4530@ . X ^ jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gabmiwa8aagaqcamaaBaaaleaapeGaamOAaiaadshaa8aabeaaaaa@393B@ , M ^ jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gabmyta8aagaqcamaaBaaaleaapeGaamOAaiaadshaa8aabeaaaaa@3930@ , C ^ jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gabm4qa8aagaqcamaaBaaaleaapeGaamOAaiaadshaa8aabeaaaaa@3926@ , and L ^ jt MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape Gabmita8aagaqcamaaBaaaleaapeGaamOAaiaadshaa8aabeaaaaa@392F@ represent the percent changes in the other variables from year t1 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamiDaiabgkHiTiaaigdaaaa@38AD@ to year t MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVCI8FfYJH8YrFfeuY=Hhbbf9v8qqaqFr0xc9pk0xbb a9q8WqFfeaY=biLkVcLq=JHqpepeea0=as0Fb9pgeaYRXxe9vr0=vr 0=vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaabaaaaaaaaape GaamiDaaaa@3705@ . The sum of the components on the right-hand side of equation (3) is approximately equal to the percent changes on the left-hand side of equation (3).[10]

Equation (3) is a decomposition of employment changes into changes in the component factors, and in this sense it is a quantification of the contribution of each factor. However, it is not an analysis of causation or a prediction of future effects.[11] The interpretation of the measured contribution of each factor is that it indicates how much employment would change if all other factors remained fixed, while the factor of interest changed by the historical amount.

Estimated Contributions to Changes in Industry Employment


Table 2 reports the contribution of each of the factors to the year-to-year percent changes in employment in the three segments of the combined U.S. motor vehicle industry. For each of the contributing factors, the table reports the percentage change in employment due to the factor, rather than the percentage change in the factor.

Table 2. Analysis of Average Annual Growth Rates, 1997-2014

 

NAICS 3361

Motor Vehicle Manufacturing

NAICS 336211

Motor Vehicle Body Manufacturing

NAICS 3363
Motor Vehicle Parts Manufacturing

U.S. Industry Employment

-1.4

0.3

-1.1

Contributing Factors

 

 

 

U.S. Exports

1.2

0.0

0.7

U.S. Imports

-2.9

0.0

-2.2

Total U.S. Consumption

4.9

2.5

4.2

U.S. Labor Productivity

-4.4

-2.2

-4.0

Source: USITC calculations. The linear approximation error in these calculations is discussed in note 10.


Overall, there was a decline in employment in the motor vehicle and parts segments and a slight increase in employment in motor vehicle body manufacturing. In all three segments, there were negative contributions to employment associated with increases in labor productivity and imports, and there were positive contributions to employment associated with increases in exports and total consumption in the U.S. market.

According to Table 2, employment in the U.S. motor vehicle manufacturing segment (NAICS 3361) declined by 1.4 percent per year, on average, between 1997 and 2014. The increase in labor productivity would have resulted in a 4.4 percent average reduction in employment if all of the other factors had remained constant, while the increase in U.S. imports would have reduced employment by 2.9 percent. The negative employment effects of these two factors were partly offset by a significant increase in total U.S. consumption and a smaller increase in U.S. exports, for a net 1.4 percent reduction in employment.

On the other hand, employment in the U.S. motor vehicle body manufacturing segment (NAICS 336211) increased by 0.3 percent per year on average. The increase in labor productivity would have resulted in a 2.2 percent average reduction in employment if all of the other factors had remained constant. The increase in total U.S. consumption would have resulted in a 2.5 percent average increase in employment per year more than offsetting the negative effect of the increase in labor productivity, resulting in a net 0.3 percent increase in employment. U.S. imports and exports had a less significant impact on employment.

Finally, employment in the U.S. motor vehicle parts manufacturing segment (NAICS 3363) declined by 1.1 percent per year on average. The increase in labor productivity would have resulted in a 4.0 percent average reduction in employment if all of the other factors had remained constant, and the increase in imports would have reduced employment by an additional 2.2 percent. These two factors were partly offset by the increase in total U.S. consumption and the increase in exports, for a net 1.1 percent reduction in employment.

Conclusions


The employment changes in the U.S. motor vehicle industry between 1997 and 2014 reflect several trade and non-trade factors: there were negative contributions from increases in labor productivity and imports and positive contributions from increases in total consumption and exports. The growth accounting framework in this research note provides a simple method for quantifying the relative contributions of these factors using available industry data.[12]

When we split the motor vehicle manufacturing industries into three segments, we find that the relative contributions of the trade and non-trade factors are quite different, and this is ultimately reflected in the different historical changes in employment levels in the segments. While labor productivity and imports contributed to employment declines in motor vehicle and parts manufacturing, there were larger impacts from changes in labor productivity. This is notable since China's accession to the WTO as well as NAFTA and additional U.S. trade agreements were implemented over the time period, which likely accelerated the growth of U.S. imports and exports in these industries. However, trade appeared to play a less significant role in employment declines than the increased use of technology and other factors that increased labor productivity. In all three industries, increased domestic consumption played a larger role than exports in offsetting (partially in motor vehicle and parts manufacturing and completely in body manufacturing) employment reductions that are associated with increases in labor productivity and imports.

References

Boudette, Neal. “Production capacity balloons, but today's industry can support it.” Automotive News, May 18, 2015. https://www.autonews.com/article/20150518/OEM01/305189955/production-capacity-balloons-but-todays-industry-can-support-it.

Coffin, David. Passenger Vehicles. Industry and Trade Summary. Publication ITS-09. Washington, DC: U.S. International Trade Commission, May 2013.

Federal Reserve, G.17 Industrial Product ion and Capacity Utilization, June 15, 2016. https://www.federalreserve.gov/releases/G17/default.htm.

International Federation of Robotics. “Industrial Robot Statistics.” 2015. https://www.ifr.org/industrial-robots/statistics/.

Klier, Thomas H. and James Rubenstein. “Detroit back from the brink?” Economic Perspectives, 2Q 2012, 49.

Klier, Thomas, and James Rubenstein. Who Really Makes Your Car? Kalamazoo: W.E. Upjohn Institute for Employment Research, 2008.

Mercedes Benz U.S. International (MBUSI). “About Mercedes-Benz U.S. International.” https://www.mbusi.com/factory.

Motor & Equipment Manufacturers Association (MEMA). “Restoring Credit to Manufacturers.” Senate Committee on Banking, Housing, and Urban Affairs, Economic Policy Subcommittee, October 9, 2009. https://www.banking.senate.gov/public/?a=Files.Serve&File_id=E4610997-7941-4358-8B4B-1B4C89C7E42C.

Rauwald, Christoph. “BMWs Made in America Surging as Biggest Auto Export.” July 10, 2014. https://www.bloomberg.com/news/articles/2014-07-10/bmws-made-in-america-surging-as-biggest-auto-export-cars.

U.S. Bureau of the Census (U.S. Census). “Annual Survey of Manufactures.” Historical Data tables. https://www.census.gov/manufacturing/asm/historical_data (accessed July 1, 2016).

U.S. International Trade Commission (USITC). Interactive Tariff and Trade DataWeb (DataWeb). https://dataweb.usitc.gov (accessed various dates).

U.S. International Trade Commission. Economic Impact of Trade Agreements Implemented Under Trade Authorities Procedures, 2016 Report. Inv. No. 332-555. Publication 4614. June 2016.


 

Appendix Tables

Table A1. Data for Figure 1

Year

NAICS 3361

Motor Vehicle Manufacturing

NAICS 336211

Motor Vehicle Body Manufacturing

NAICS 3363
Motor Vehicle Parts Manufacturing

1997

236,247

42,773

653,245

1998

234,960

43,306

789,565

1999

233,053

43,170

799,174

2000

230,544

43,844

802,575

2001

213,761

41,254

732,704

2002

219,243

41,450

721,655

2003

210,387

40,874

671,990

2004

215,852

43,779

644,848

2005

204,065

48,342

612,872

2006

205,843

50,906

577,729

2007

179,885

49,165

580,845

2008

156,251

46,002

526,672

2009

124,792

37,561

397,277

2010

137,284

35,891

388,920

2011

148,009

37,665

404,636

2012

157,217

41,176

466,061

2013

166,608

41,881

483,131

2014

176,001

42,917

501,065

Source: U.S. Census, ASM (accessed July 1, 2016).

 


 

Table A2. Data for Figure 2

Year

NAICS 3361

Motor Vehicle Manufacturing

NAICS 336211

Motor Vehicle Body Manufacturing

NAICS 3363
Motor Vehicle Parts Manufacturing

1997

95,437,769,729

343,174

35,276,945,010

1998

102,498,662,613

366,237

37,899,879,496

1999

122,925,815,555

322,635

45,603,846,842

2000

132,814,615,371

414,446

50,000,082,551

2001

130,431,903,687

447,466

47,098,009,374

2002

136,633,879,892

403,039

53,700,221,933

2003

137,410,172,910

509,193

58,505,349,398

2004

145,690,283,994

626,834

65,292,234,447

2005

148,887,041,680

921,513

71,603,562,761

2006

162,140,539,954

1,019,701

72,955,491,912

2007

161,958,491,954

997,625

75,860,098,408

2008

146,025,142,306

822,811

67,949,072,917

2009

96,179,426,186

592,151

48,470,496,097

2010

134,994,259,755

661,431

70,524,147,403

2011

147,092,793,536

743,762

81,607,164,827

2012

174,779,220,486

955,985

94,269,326,731

2013

183,259,646,796

754,065

97,936,887,818

2014

190,763,845,384

783,795

106,486,821,687

Source: USITC Dataweb (accessed July 12, 2016). Imports for consumption used.

 


 

Table A3. Data for Figure 3

Year

NAICS 3361

Motor Vehicle Manufacturing

NAICS 336211

Motor Vehicle Body Manufacturing

NAICS 3363
Motor Vehicle Parts Manufacturing

1997

24,290,051,624

174,959,105

36,230,121,080

1998

22,619,412,870

179,323,308

36,716,266,188

1999

22,063,782,982

212,026,205

39,279,833,905

2000

23,022,509,474

154,036,319

42,288,439,404

2001

22,776,851,427

136,410,773

39,076,167,258

2002

26,314,058,613

109,875,547

39,160,015,750

2003

29,658,892,594

117,550,769

37,281,356,161

2004

30,108,237,085

160,398,476

39,128,056,532

2005

34,851,026,092

197,413,451

40,011,521,051

2006

43,829,584,407

237,976,908

42,739,107,919

2007

52,469,265,443

276,249,943

44,984,131,886

2008

57,176,246,645

192,739,988

41,213,374,787

2009

35,856,069,710

157,655,516

30,074,176,845

2010

48,620,856,753

169,252,333

41,272,401,607

2011

58,806,191,210

235,503,464

46,812,312,596

2012

64,860,753,616

363,704,168

50,878,115,492

2013

69,082,592,413

360,700,398

51,735,753,594

2014

72,839,507,001

451,661,832

53,157,860,602

Source: USITC Dataweb (accessed July 12, 2016). Domestic exports used.


 

Table A4. Data for Figure 4

Year

NAICS 3361

Motor Vehicle Manufacturing

NAICS 336211

Motor Vehicle Body Manufacturing

NAICS 3363
Motor Vehicle Parts Manufacturing

1997

291,200,575,105

9,008,680,215

177,558,392,930

1998

309,203,915,743

9,696,170,914

185,659,644,308

1999

368,262,006,573

10,520,423,609

209,121,022,937

2000

349,265,461,897

10,335,162,410

212,047,729,147

2001

327,389,837,260

7,660,342,055

195,142,004,116

2002

351,019,116,279

8,019,082,163

219,059,371,183

2003

371,182,198,316

8,648,213,642

223,517,327,237

2004

377,482,850,909

9,437,590,436

228,806,123,915

2005

375,879,985,588

10,797,334,100

237,697,603,710

2006

380,171,013,547

11,855,509,724

232,515,347,993

2007

368,526,939,511

12,350,667,375

235,829,570,522

2008

296,927,924,661

11,274,819,071

202,349,665,130

2009

208,927,369,476

9,571,669,495

150,814,825,252

2010

293,804,962,002

9,637,047,179

198,470,063,796

2011

322,072,260,326

10,102,314,259

219,559,277,231

2012

370,434,487,870

11,439,853,281

259,114,462,239

2013

397,973,706,706

12,181,962,365

273,190,160,854

2014

425,235,208,535

13,225,048,133

297,994,413,573

Source: U.S. Census, ASM and U.S. International Trade Commission Dataweb (accessed July 1, 2016). Note: Total consumption is measured as total shipments of the U.S. industry minus U.S. exports plus U.S. imports.


 

Table A5. Data for Figure 5

Year

NAICS 3361

Motor Vehicle Manufacturing

NAICS 336211

Motor Vehicle Body Manufacturing

NAICS 3363
Motor Vehicle Parts Manufacturing

1997

58.112

78.671

63.985

1998

65.767

80.359

67.179

1999

71.129

82.514

70.861

2000

63.845

78.043

71.969

2001

63.958

63.702

73.772

2002

72.991

73.688

83.6

2003

81.872

87.959

88.213

2004

83.426

84.1

89.981

2005

87.809

88.915

94.765

2006

96.781

90.853

94.052

2007

100

100

100

2008

89.634

92.593

95.418

2009

85.019

94.633

95.736

2010

106.846

103.01

112.19

2011

114.587

103.016

113.679

2012

115.951

100.59

118.032

2013

119.192

108.096

118.078

2014

113.278

107.253

122.47

Source: U.S. Bureau of Labor Statistics, Labor Productivity and Costs Database.



[1] In this research note, the combined motor vehicles industry is defined as NAICS codes 3361, 336211, and 3363. For these years, the industry data are reported on a consistent NAICS basis.

[2] The six digit NAICS code 336211 Motor Vehicle Body Manufacturing is used instead of the four digit (3362), because the four digit category includes trailers that are produced with a separate supply chain that tends to have different suppliers.

[3] Klier and Rubenstein, Who Really Made Your Car? 2008, 8586.

[4] USITC, Economic Impact of Trade Agreements, 180; Coffin, Passenger Vehicle Industry and Trade Summary, May 2013, 53.

[5] USITC, Dataweb (accessed July 12, 2016).

[6] Coffin, Passenger Vehicle Industry and Trade Summary, 2013, 11.

[7] International Federation of Robotics, “Industrial Robot Statistics,” 2015. https://www.ifr.org/industrial-robots/statistics/.

[8] Coffin, Passenger Vehicle Industry and Trade Summary, 2013, 19.

[9] Federal Reserve, G.17 Industrial Product ion and Capacity Utilization, June 15, 2016. https://www.federalreserve.gov/releases/G17/default.htm.

[10] There is a linear approximation error when the formula in equation (3) is applied to the data, since equation (2) is not log-linear.

[11] In general, the effect of a change in imports on U.S. employment will depend on the underlying source or cause of that change. If the increase in U.S. imports is due to a reduction in foreign production costs, then the increase in imports will be associated with a reduction in U.S. employment. However, if the increase in U.S. imports is due to an increase in U.S. aggregate demand, then it will be associated with an increase in U.S. employment.

[12] It would be straightforward to replicate this analysis for any of the U.S. manufacturing industries in the Annual Survey of Manufactures.