Global Productivity

Page 134

108

CHAPTER 2

GLOBAL PRODUCTIVITY

advanced economies. The effects of average years of schooling and the investment rate are higher for EMDEs than for advanced economies, indicating the relative importance of these proximate sources of growth for EMDEs. The extent of urbanization also has a larger impact on productivity growth in EMDEs than in advanced economies. This could reflect reallocation of workers from agriculture to manufacturing and service sectors, where productivity may be higher at the margin (chapter 7). Changing importance of drivers. The changing importance of productivity growth drivers can be highlighted by comparing results for 1960-2018 with results for 19952018, updating the initial conditions. In EMDEs, the role of economic complexity seems to have strengthened since the mid-1990s (Diao, McMillan, and Rodrik 2019; Hausmann and Hidalgo 2010; Jarreau and Poncet 2012). Experience in complex production can assist in knowledge diffusion and raise productivity growth (Kraay, Soloaga, and Tybout 2004; Schor 2004). In EMDEs, the role of complexity may reflect experience gained through participation in global value chains and the hosting of FDI, in addition to an increasingly important role in innovation. Knowledge transfer via foreign investment could lead to diversified and more sophisticated exports (World Bank 2020a). Demographic forces—in the form of changes in the working-age share of populations— supported growth in the latter half of the twentieth century in EMDEs and advanced economies. More recently, population aging has become a potential headwind for many economies, working against further productivity growth. In a related Bayesian study, using a rolling sample, Bruns and Ioannidis (2020) also find that the importance of demographic variables has increased over time, although their work emphasizes population growth and the fertility rate.

Developments in drivers of productivity This section examines how drivers have developed in the recent past, and relates these changes to the post-GFC slowdown in productivity growth. The prospects for some of the drivers are also assessed. Pre-GFC improvements. Before the financial crisis, there had been major improvements in many drivers of productivity growth, and improvements in EMDEs were often larger than in advanced economies (figure 2.10). Using the cross-country regression results, the drivers considered here can be aggregated into a single index, weighted by their relative estimated effects. The analysis suggests that demographics, economic complexity, the number of patents filed per capita, and low inflation were key determinants of productivity growth over this period. Between 1995 and 2008, the quarter of EMDEs with the most favorable initial conditions experienced productivity increases 23 percent larger, on average, than the quarter of EMDEs with the least favorable initial conditions. Among low-income countries, the differential between the two groups was even larger, at 52 percent. Post-GFC slowdown in improvements. After the financial crisis, some of the drivers most strongly associated with productivity growth in EMDEs have seen slower


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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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