Global Productivity

Page 140

114

CHAPTER 2

GLOBAL PRODUCTIVITY

EMDEs. Although these developments may be seen as discouraging, they also indicate continuing potential for major productivity gains if the right reforms are implemented. Climate change and agriculture. Climate change is expected to continue to adversely affect productivity, partly because natural disasters have become more common (chapter 3). The agriculture sector may be particularly affected if higher temperatures decrease crop yields in some countries (Fuglie et al. 2020). Agriculture currently accounts for 32 percent of GDP in low-income countries, compared to just 9 percent in EMDEs excluding low-income countries. In 2018, agriculture accounted for half of all employment in SSA and 44 percent in SAR. Less favorable demographics. The share of the working-age population rose by 13 percentage points between 1995 and 2008 in MNA, and by 3.0 percentage points in SSA. In the coming years, populations in these regions are set to age. From 2018 to 2030 the share of the working-age population is expected to decline by 4.0 percentage points in advanced economies and 2.5 percentage points in EMDEs (figure 2.11). In EAP and ECA, the share of the working-age population is expected to decline by 3-4 percentage points by 2030, the reversal of a previous demographic dividend. In other regions—LAC, MNA, SAR, and SSA—the share is expected to be broadly stable. Increased macroeconomic crisis risk. The COVID-19 pandemic could increase the vulnerability of many EMDEs to a macroeconomic crisis, perhaps linked to sovereign and private sector debt (World Bank 2020b; chapter 3). New pressures on the financial sector could also play a role. Previously, from the mid-1990s onward, EMDEs had made progress in achieving low inflation and macroeconomic stability (figure 2.4). In most cases, the scope for further improvement is limited (Ha, Kose, and Ohnsorge 2019). More EMDEs have adopted floating exchange rates and inflation targeting. Output volatility has declined in many countries (Ćorić 2014, 2019). It may be difficult to maintain that lower volatility given the pandemic, and, more generally, productivity gains from greater stability may be even harder to achieve.

Policy priorities The new analysis presented in this chapter, and its review of the literature, suggests that a comprehensive policy approach is needed to raise productivity growth. Such an approach could have three main strands, recognizing that the productivity slowdown of the past decade has multiple sources. First, governments should aim to stimulate private and public investment, and improve human capital. Second, policies should be designed to ensure a growth-friendly macroeconomic and institutional environment (Cirera and Maloney 2017). Third, governments should promote productivity growth at the firm level, by ensuring that enterprises are appropriately exposed to trade and foreign investment, and encouraging investment in human capital, including management as well as technical training. Within these three strands, priorities will depend on the context. Countries with large unmet needs for infrastructure could seek to expand fiscal resources to finance more and


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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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