The Long Shadow of Informality

Page 197

T H E L O NG S HA D O W O F I N F O R MA L I T Y

C H A P T ER 4

167

Second, all the correlates are associated with the level of informality in the expected manner (figure 4.9). EMDEs with better governance, a more developed and less agriculture-oriented economy, and stronger human capital tend to have lower informality. In particular, informal output as a share of official GDP is significantly lower, by about 1-2 percentage points of GDP, if the EMDE has 1-standard-deviation better governance, greater economic development, or larger human capital. In addition, tax burdens, measured as the share of government consumption or tax revenue in GDP, are significantly and negatively correlated with the size of output informality.

Conclusion Pervasive informality is associated with a wide range of development challenges, from extreme poverty to lack of access to basic sanitation services. This chapter documented and quantified the wider gaps, relative to the SDGs, among EMDEs with greater informality. These shortcomings also make EMDEs with widespread informality particularly vulnerable to adverse global shocks, including the COVID-19 pandemic. The wide range of correlates of informality suggests that informality is a phenomenon that reflects broad-based underdevelopment rather than a challenge that can be considered in isolation. Consequently, policy measures to address informality need to be equally broad-based. They include measures to enhance human capital and lift productivity, streamline regulations, and improve governance and the provision of public services and social safety nets. Policy options are discussed in detail in chapter 6. Several areas for further development are worth exploring. First, the chapter does not demonstrate a causal link between informality and the various development outcomes. The exploration of causal relationships between informality and these outcomes, in either direction, is left for future studies. Second, because of data limitations, some variables, such as access to paved roads and bank account ownership, that are relevant to informality are not included in the current BMA analysis. Future studies can improve upon the work reported here by incorporating those variables. Third, future research could explore asymmetries in the challenges posed by informality. There may be interactions between country circumstances and worker or firm characteristics that can mitigate some of the challenges posed by informality. For firms, some of these interactions were explored in box 4.2 but other important interactions may yet come to light in future research.


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References

17min
pages 344-353

Annex 6A Policies and informality

3min
pages 323-324

Fiscal measures

2min
page 301

Data and methodology

2min
page 300

6.1 Financial development and the informal economy

9min
pages 290-294

6.8 Informality after labor market reforms in EMDEs

2min
page 313

Conclusion

2min
page 271

References

20min
pages 272-284

Conclusion

2min
page 319

Latin America and the Caribbean

2min
page 251

South Asia

2min
page 260

Sub-Saharan Africa

4min
pages 264-265

Middle East and North Africa

2min
page 255

Europe and Central Asia

2min
page 246

East Asia and Pacific

2min
page 241

Informality in EMDEs

2min
page 237

References

24min
pages 222-234

4D.7 Regression: Changes in informality and poverty reduction

2min
page 208

competition

2min
page 206

4D.8 Regression: Changes in informality and improvement in income inequality

1min
page 209

4D.14 Regression: Developmental challenges and DGE-based output informality in EMDEs

5min
pages 216-218

Annex 4C Bayesian model averaging approach

4min
pages 200-201

4D.4 Regression: Labor productivity of formal and informal firms 4D.5 Regression: Labor productivity of formal firms facing informal

1min
page 205

Annex 4B Regression analysis

2min
page 199

Annex 4A Meta-regression analysis

2min
page 198

Informality and SDGs related to human development

2min
page 191

Informality and SDGs related to infrastructure

2min
page 193

4.3 Informality, poverty, and income inequality

5min
pages 180-182

Informality and institutions

2min
page 189

Finding the needle in the haystack: The most robust correlates

2min
page 195

Conclusion

1min
page 197

Informality and economic correlates

2min
page 179

4.2 Casting a shadow: Productivity in formal and informal firms

4min
pages 167-168

Links between informality and development challenges

2min
page 165

4.1 Informality and wage inequality

8min
pages 158-161

References

6min
pages 147-152

Conclusion

2min
page 136

Data and methodology

2min
page 129

Literature review: Linkages between formal and informal sectors

6min
pages 126-128

References

13min
pages 115-122

2B.9 World Values Survey

1min
page 114

2B.8 MIMIC model estimation results, 1993-2018

1min
page 113

Future research directions

2min
page 54

Database of informality measures

14min
pages 81-86

References

10min
pages 55-62

Key findings and policy messages

6min
pages 36-38

Definition of informality

4min
pages 79-80

Conclusion

2min
page 99

Annex 2A Estimation methodologies

9min
pages 100-103

16 Informality indicators and entrepreneurial conditions in Sub-Saharan

2min
page 35
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