Global Productivity

Page 136

110

CHAPTER 2

GLOBAL PRODUCTIVITY

FIGURE 2.11 Post-GFC slowdown of the drivers of productivity growth In EMDEs, improvements in a broad range of productivity drivers slowed after 2008. Investment growth slowed to one-third of its pre-GFC rate in EMDEs. Working-age population shares are expected to contract in coming years. The growth of educational attainment has also slowed. A. EMDEs with a slowdown in productivity drivers in the post-GFC period

B. Average investment growth Percent 12

Percent 100 75 50 25 0

1980s

1990s

2003-08

2013-18

10 8

Institutions

Education

Income equality Econ. complexity

Urban

Gender equality

Innovation

Demography

Investment

6

C. Change in working-age population shares

0 EMDEs

EMDE commodity EMDE commodity exporters importers

Percent

1980s 2003-08

4

1990s 2013-18

3 2

2020-25

2015-20

2010-15

2005-10

1 2000-05

1995-2000

1990-95

2

D. Average growth in educational attainment

Advanced economies EMDEs

Percentage points 4 3 2 1 0 -1 -2

4

0 EMDEs

EMDE commodity exporters

EMDE commodity importers

Sources: Barro and Lee (2015); International Monetary Fund; Observatory of Economic Complexity; Penn World Table; World Bank, World Development Indicators; IMF World Economic Outlook; United Nations; Wittgenstein Centre for Demography and Global Human Capital. Note: EMDEs = emerging market and developing economies; GFC = global financial crisis. A. Share of economies where improvements in each driver of productivity during 2008-18 are lower than those in the pre-GFC period 1998-2007. The following variables correspond to each concept (sample in parentheses): Institutions (75) = Worldwide Governance Indicators Government Effectiveness Index; Innovation (27) = patents per capita; Investment (69) = investment-to-GDP ratio; Income equality (73) = (-1)*Gini coefficient; Urbanization (75) = Urban population share; ECI (56) = Economic Complexity Index of Hidalgo and Hausmann (2009); Education (52) = years of schooling; Gender equality = ratio of years of schooling of female to male; Demography (75) = share of working-age population. B. GDP-weighted average annual investment (gross fixed capital formation) growth. C. Five-year average percentage point changes in the share of the working-age population (aged 15-64). D. GDP-weighted average changes in years of education.

scope for longer-term effects also (table 2.2). This section sketches how preexisting trends and the pandemic will shape the outlook for productivity growth, while acknowledging that many effects remain uncertain. Lasting impact of COVID-19. Many productivity drivers are expected to be negatively affected by the pandemic. Uncertainty about the duration of the pandemic and the global economic landscape may discourage investment (Bloom 2014). Concerns about their long-term viability and resilience may lead to a retreat from global value chains— which would choke off an important channel for international technology


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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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