Global Productivity

Page 242

216

GLOBAL PRODUCTIVITY

CHAPTER 4

FIGURE 4.4 Convergence club memberships During 1970-2018, there were five clubs of countries with declining productivity differentials. Sixteen EMDEs have transitioned to the highest-productivity convergence club since the 2000s, and 22 have transitioned to the second highest. A. Convergence clubs, 1970-2018 and transitions relative to the early-sample estimation of convergence clubs (1970-2000)

Club 1 Australia; Austria; Belgium; Canada; Cyprus; Denmark; Finland; France; Germany; Hong Kong SAR, China; Iceland; Ireland; Israel; Italy; Japan; Luxembourg; Malta; Netherlands; Norway; Republic of Korea; Singapore; Spain; Sweden; Switzerland; United States; United Kingdom Greece; New Zealand; Portugal Albania; Bulgaria; Chile; China; Hungary; India; Iraq; Malaysia; Myanmar; Panama; Poland; Romania; Sri Lanka; Thailand; Turkey; Vietnam

Club 2 Algeria; Argentina; Brazil; Costa Rica; Islamic Republic of Iran; Mexico; South Africa; St. Lucia; Uruguay Angola; Bangladesh; Burkina Faso; Cambodia; Colombia; Dominican Republic; Ecuador; Arab Republic of Egypt; Georgia; Ghana; Indonesia; Jamaica; Jordan; Morocco; Mozambique; Nigeria; Peru; Philippines; Sudan; Tunisia; Uganda; Zambia

Club 3 Bolivia; Côte d'Ivoire; Ethiopia; Guatemala; Honduras; Mali; Pakistan; Paraguay; Senegal; Tajikistan; Tanzania; Ukraine

Club 4 Cameroon; Kenya; Kyrgyz Republic; Malawi

Club 5 Democratic Republic of Congo; Haiti; Madagascar; Niger; Zimbabwe

Source: World Bank. Note: Based on convergence clubs estimated as in Phillips and Sul (2009). EMDEs = emerging market and developing economies. A. The figures show the club composition when estimated over the whole sample (1970-2018). The red dotted boxes show economies that were in a lower convergence club in the first half of the sample 1970-2000 (for example, moved from Club 2 to Club 1). Black text indicates advanced economies, and blue text are EMDEs.

Results. Since 1970, countries have fallen into five distinct convergence clubs in which productivity moved along a similar trajectory and productivity differentials were decreasing over time. Several countries have moved into faster-productivity clubs since 2000 (figure 4.4). •

Clusters during 1970-2018. The first club (Club 1) consists of economies converging toward the highest-productivity level. It includes all advanced economies, several upper-middle-income EMDEs that have sustained long periods of robust growth, and three low-income or lower-middle-income economies with rapid productivity growth (figure 4.5, panel A). This club initially had a broad range of productivity levels in 1970, which had narrowed by 2010 as low-productivity economies caught up. The second club includes the majority of upper-middle-income, or near uppermiddle-income EMDEs, converging toward an intermediate level of productivity. Lower clubs consist primarily of lower-middle- and low-income economies that have persisted in a low-productivity low-growth state (figure 4.5). Advanced economy members of the high-productivity Club 1 have achieved average productivity growth of about 2 percent since 1970, rising to 3 percent for EMDE Club 1 members —


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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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