Global Productivity

Page 329

GLOBAL PRODUCTIVITY

CHAPTER 5

303

Middle East and North Africa Labor productivity growth in MNA was the weakest among EMDE regions before and after the GFC. It averaged –0.1 percent between 2013-18, although with wide heterogeneity across economies within the region. Weak productivity growth has widened the region’s productivity gap with advanced economies. Large public sectors, underdeveloped private sectors, and lack of economic diversification hold back productivity growth. Although recent reform initiatives in many countries in the region are promising, the COVID-19 pandemic may hinder productivity in the short and medium term. A multipronged policy effort is needed to reliably raise productivity growth in the region, including raising the quality of human capital and boosting private sector investment, increasing firm productivity, removing obstacles to sectoral reallocation, and creating business-friendly environments.

Evolution of regional productivity Low labor productivity growth. From an already weak pre-GFC rate (0.1 percent during 2003-08), labor productivity growth in MNA decelerated further, to about –0.1 percent during 2013-18, the weakest among EMDE regions (figure 5.20).11 This slowdown affected more than half of EMDEs in the region and was strongest among energy exporters, where productivity growth has been severely constrained by weak investment (figure 5.21). Moreover, continued reliance on commodity exports in many economies means that they have not experienced the diversification or expansion of other sectors that helped drive high productivity growth in regions such as EAP. Weak post-GFC productivity growth in the region continues a long-standing trend that featured productivity growth below the EMDE average for the past two decades. The disruptions spurred by the COVID-19 pandemic put the productivity prospects of the region at substantial risk, especially combined with the negative oil price shock. Within-region heterogeneity. Within-region productivity trends differ considerably. Energy-exporting economies experienced a 0.5 percent productivity contraction in 201318, amid a 50 percent plunge in oil prices from a mid-2014 peak. In energy importers, productivity growth rose to 1.9 percent in 2013-18, from 1.3 percent in 2003-08. Wide dispersion in labor productivity levels. At two-fifths of advanced economy productivity, MNA has the highest productivity level of any EMDE region. Yet, relative to the advanced economy average, the level was lower in 2013-18 than in 2003-08. Moreover, productivity levels in MNA differ widely within the region, with substantially higher levels in the Gulf Cooperation Council (GCC) economies than in energy importers. This disparity reflects the variation in natural resource endowments between lower-middle-income energy importers such as Egypt, Morocco, and Tunisia, and highincome energy exporters such as Saudi Arabia and the United Arab Emirates. 11 The primary sample under which regional labor productivity trends are discussed is based on 14 MNA economies: Algeria, Bahrain, the Arab Republic of Egypt, the Islamic Republic of Iran, Iraq, Jordan, Kuwait, Lebanon, Morocco, Oman, Qatar, Saudi Arabia, Tunisia, and the United Arab Emirates.


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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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