Global Productivity

Page 231

GLOBAL PRODUCTIVITY

CHAPTER 4

205

productivity (TFP), which can be estimated only on the basis of special assumptions. Labor productivity is also conceptually closer to per capita income, the variable of primary interest in discussions of global average living standards and the global income distribution. The data set is constructed from national accounts, the World Bank’s World Development Indicators, The Conference Board, and the Penn World Table 9.1 (annex 4B). The next section discusses the evolution of convergence over time, then the third section estimates the speed of convergence, both regardless of country characteristics and conditional on country characteristics. The fourth section provides evidence for the presence of club convergence and assesses the characteristics of EMDEs that have demonstrated faster degrees of convergence. The final section concludes and discusses policy implications.

How has productivity convergence evolved? Productivity gaps. The gap between advanced economy and EMDE labor productivity levels is large. On average since 2010, labor productivity in EMDEs was just 16 percent, and in LICs just 2 percent, of the advanced economy average (figure 4.1, panel A). Even the top decile of EMDE output per worker was just 70 percent of the lowest decile of advanced economy labor productivity levels. Among EMDE regions, labor productivity is highest in the Middle East and North Africa (MNA), Latin America and the Caribbean (LAC), and Europe and Central Asia (ECA); it is lowest in Sub-Saharan Africa (SSA) and SAR (figure 4.1, panel B). On average, MNA produced 41 percent of the output per worker of advanced economies, and output per worker in SSA and SAR was well below the EMDE average, at just 8 and 7 percent, respectively, of advanced economy productivity. Other regional features are as follows. •

EAP. EAP economies are characterized by a relatively low dispersion of productivity levels compared to other EMDE regions, ranging from 2-25 percent of the level in the average advanced economy. This may partly reflect the close economic integration of the region’s economies.

ECA. Close trade integration with the euro area, strong growth since the deep recessions following the collapse of the Soviet Union, and relatively high initial productivity levels in some cases have led economies in the ECA region to have the second-highest average labor productivity level among EMDE regions. However, there is significant variation, with output per worker in nonoil commodity exporters in the region averaging just one-quarter of the output per worker relative to commodity-importing economies.

LAC. In LAC, the labor productivity gap with advanced economies has widened since the 1970s, with labor productivity falling from 23 to 20 percent of the levels in the average advanced economy.


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Annex 7B Marginal productivity gap

4min
pages 452-453

References

14min
pages 456-463

Annex 7A Data and methodology

6min
pages 448-451

References

13min
pages 421-428

Sectoral productivity gaps

2min
page 432

Annex 7C Firm TFP data, estimates, and methodology

5min
pages 454-455

Annex 6C Commodity-driven productivity developments: Methodology

2min
page 420

Conclusion and policy implications

2min
page 412

Drivers of productivity: Technology vs. demand shocks

2min
page 391

Annex 6A SVAR identification of technology drivers of productivity

8min
pages 413-416

PART III Technological Change and Sectoral Shifts

0
pages 383-386

Effects of demand shocks

2min
page 397

Figure 6.1 Global labor productivity surges and declines

7min
pages 388-390

Sub-Saharan Africa

2min
page 350

Figure 5.22 Factors supporting productivity growth in MNA

7min
pages 333-335

Figure 5.19 Drivers of productivity growth in LAC

9min
pages 325-328

South Asia

4min
pages 337-338

Conclusion

2min
page 363

Figure 5.13 Drivers of productivity growth in ECA

10min
pages 314-317

Middle East and North Africa

2min
page 329

Latin America and the Caribbean

2min
page 318

Figure 5.12 Drivers of productivity growth in ECA in regional comparison

5min
pages 312-313

Europe and Central Asia

2min
page 305

Figure 5.7 Drivers of productivity growth in EAP

3min
page 301

PART II Regional Dimensions of Productivity

0
pages 281-284

Sources of, and bottlenecks to, regional productivity growth

4min
pages 290-291

Figure 5.1 Evolution of regional productivity in EMDE regions

4min
pages 288-289

East Asia and Pacific

2min
page 295

References

12min
pages 274-280

Evolution of productivity across regions

2min
page 287

Annex 4F Productivity measurement: PPP vs. market exchange rates

4min
pages 268-269

Annex 4C Beta-convergence testing

2min
page 257

Figure 4.4 Convergence club memberships

2min
page 242

Annex 4D Estimating convergence clubs: Commonalities in productivity levels

7min
pages 258-260

Testing for convergence and its pace

4min
pages 236-237

Conclusion and policy implications

7min
pages 253-255

Convergence clubs

7min
pages 239-241

Annex 3B Robustness

2min
page 213

Conclusion

2min
page 204

Figure 3.8 Episodes across different types of events

4min
pages 193-194

Annex 3A Data, sources, and definitions

2min
page 206

How has productivity convergence evolved?

2min
page 231

Figure 3.4 Episodes of war

2min
page 187

What policies can mitigate the effects of adverse events?

2min
page 203

Figure 3.5 Correlations between war frequency and productivity growth

7min
pages 188-190

Figure B3.1.1 Severity of pandemics, epidemics, and climate disasters

6min
pages 179-181

Figure B3.1.3 Impact of epidemics

6min
pages 184-186

Annex 2A Partial correlations

2min
page 146

Figure 3.2 Episodes of natural disaster

4min
pages 175-176

Box 3.1 How do epidemics affect productivity?

1min
page 178

Adverse events: Literature and stylized facts

2min
page 171

Conclusion

2min
page 145

Figure 2.13 Developments in financial and government technology

2min
page 143

Figure 2.12 EMDE infrastructure and education gaps

2min
page 142

Policy priorities

4min
pages 140-141

Figure 2.11 Post-GFC slowdown of the drivers of productivity growth

10min
pages 136-139

References

12min
pages 101-108

Analyzing the effects of drivers

1min
page 128

Developments in drivers of productivity

2min
page 134

Figure 2.1 Innovation

5min
pages 114-115

Box 2.1 Review of recent firm-level total factor productivity literature

8min
pages 130-133

Summary of stylized facts

2min
page 126

Long-run drivers

4min
pages 112-113

Box 1.1 Productivity: Conceptual considerations and measurement challenges

9min
pages 85-88

Conclusion

2min
page 96

Annex 1A Cyclical and technology-driven labor productivity developments

1min
page 100

Figure B1.1.1 Labor productivity decomposition and natural capital in EMDEs

7min
pages 89-91

References

13min
pages 65-70

Key findings and policy messages

4min
pages 32-33

Future research directions

2min
page 64

Synopsis

2min
page 39

PART I Productivity: Trends and Explanations

0
pages 71-74

Evolution of productivity

2min
page 78

Sources of the slowdown in labor productivity growth after the GFC

2min
page 83

Implications of COVID-19 for productivity

11min
pages 34-38
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