Abstract
The chapter presents estimations of the size of the shadow economies of Bangladesh, Cambodia, China, Indonesia, Japan, Laos, Malaysia, the Philippines, South Korea, Thailand and Vietnam over the period 2000–2014. According to my estimation the average size (over 2000–2014) of the shadow economy of Bangladesh is 33.7%, of Cambodia 45.4%, of China 12.0%, of Indonesia 29.0%, of Japan 9.2%, of Laos 27.5%, of Malaysia 28.9%, of the Philippines 32.6%, of South Korea 15.1%, of Thailand 39.0%, and of Vietnam 15.2%. I find that an increase in the burden of indirect taxation and the unemployment rate and less business freedom are the driving forces of the shadow economies of these eleven countries.
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Notes
- 1.
The Multiple Indicator Multiple Causes (MIMIC ) Approach is a latent estimation procedure for the size and development of a shadow economy. It is briefly explained in Sect. 3.3.1, entitled Econometric Methodology. The MIMIC method is based upon a statistical theory of unobserved variables, which considers the multiple causes and multiple indicators of the shadow economy to be measured. The MIMIC model uses multiple indicators and multiple causes in a structural equation model (SEM) with the latent variable shadow economy. The cause variables influence the shadow economy and the shadow economy activities are reflected in the indicator variables.
- 2.
This definition is used, for example, by Feige (1989, 1994), Schneider (2005, 2010, 2015), Feld and Schneider (2010), Schneider and Williams (2013), Buehn and Schneider (2012), Schneider et al. (2010) and Williams and Schneider (2016). Do-it-yourself activities are not included. For estimates of the shadow economy and the do-it-yourself activities for Germany , see Buehn et al. (2009).
- 3.
- 4.
- 5.
These indices are compiled by the Heritage Foundation, Washington D.C., various years. The control of corruption ranks between 0 (lowest no-corruption ) and 200 (highest possible corruption ) and the rule of law ranks between 0 (no rule of law) and 200 (best rule of law).
- 6.
Cash is the most popular and frequent means for paying people in the shadow economy. Cash does not leave any traces (the opposite of a cheque or an electronic transfer) and, due to this, cash is the most easy means of payment for shadow economy transactions. In most countries, cash is used for shadow economy transactions in up to 80% of the cases. If one were to abolish cash, the transaction costs for shadow economy activities would rise, but they would not diminish because the causes of why people work in the shadow economy would not diminish. If one were to abolish cash, the first simulations for European countries show that the shadow economy would be reduced by roughly 10%.
- 7.
- 8.
The pioneers of this approach are Frey and Weck-Hannemann (1984), who applied this approach to cross-section data from the 24 OECD countries for various years.
- 9.
The co-variance (cited from Wikipedia, the free encyclopedia, www.wikipedia.org, September 2016) is a measure of how much two random variables change together. If the greater value of one variable mainly corresponds with the greater value of the other variable, and the same holds for lesser values, i.e., the variables tend to show similar behaviour, the co-variance is positive. In the opposite case, when the greater values of one variable mainly correspond to the lesser values of the other, i.e., the variables tend to show the opposite behaviour, the co-variance is negative.
- 10.
These 11 Asian countries were chosen because I could compile a consistent data-set of the causal and indicator variables for them.
- 11.
As these two tax variables are highly correlated in equations 3 and 4, the direct tax variable is left out, as the direct tax burden variable is of minor importance in these countries.
- 12.
China is an extremely difficult case, due to the fact that China is a mixture of a planned and market economy; these figures have to be interpreted with great care and may be not reliable.
- 13.
Such an incentive would lead to more credit card transactions. The use of credit cards would provide us with a better documentation of the payment system because card payments are more visible and one clearly sees the type of payment that is used for a certain service or good. If credit cards were used more, this would certainly have a dumping effect on the size and development of the shadow economy.
References
Bajada C, Schneider F (2005) The shadow economy of the Asia Pacific. Pac Econ Rev 10/3:379–401
Buehn A, Schneider F (2012) Shadow economies around the world: novel insights, accepted knowledge and new estimates. Int Tax Public Financ 19(1):139–171
Buehn A, Karmann A, Schneider F (2009) Shadow economy and do-it-yourself activities: the German case. J Inst Theor Econ 164(4):701–722
Dell’Anno R (2007) The shadow economy in Portugal: an analysis with the MIMIC approach. J Appl Econ 10:253–277
Dell’Anno R, Solomon OH (2008) Shadow economy and unemployment rate in USA: is there a structural relationship? An empirical analysis. Appl Econ 40:2537–2555
Enste D, Schneider F (2006) Wie groß ist die Schattenwirtschaft? Des Rätsels Lösung, Wirtschaftsdienst—. Z Wirtsch 86(2):185–191
Feige EL (1989) The underground economies. Tax evasion and information distortion. Cambridge University Press, Cambridge
Feige EL (1994) The underground economy and the currency enigma. Suppl Public Financ/Financ Publiques 49:119–136
Feld L, Schneider F (2010) Survey on the shadow economy and undeclared earnings in OECD countries. Ger Econ Rev 11(2):109–149
Frey BS, Weck-Hannemann H (1984) The hidden economy as an unobserved variable. Eur Econ Rev 26(1):33–53
Giles DEA (1999) Measuring the hidden economy: implications for econometric modelling. Econ J 109(456):370–380
Giles DEA, Tedds LM (2002) Taxes and the Canadian underground economy. Canadian Tax Foundation, Toronto
Johnson S, Kaufmann D, Shleifer A (1997) The unofficial economy in transition. Brook Pap Econ Act 2:159–221
Johnson S, Kaufmann D, Zoido-Lobatoìn P (1998a) Regulatory discretion and the unofficial economy. Am Econ Rev 88(2):387–392
Johnson S, Kaufmann D, Zoido-Lobatoìn P (1998b) Corruption, public finances and the unofficial economy, World Bank Policy Research, Working Paper Series No. 2169. The World Bank, Washington, DC
Schneider F (1986) Estimating the size of the Danish shadow economy using the currency demand approach: an attempt. Scand J Econ 88(4):643–668
Schneider F (2005) Shadow economies around the world: what do we really know? Eur J Polit Econ 21(3):598–642
Schneider F (2010) The influence of public institutions on the shadow economy: an empirical investigation for OECD countries. Eur J Law Econ 6(3):441–468
Schneider F (2015) Schwarzarbeit, Steuerhinterziehung und Korruption: Was ökonomische und nicht ökonomische Fehler zur Erklärung beitragen. Perspekt Wirtsch 16(4):412–425
Schneider F, Enste D (2000) Shadow economies: size, causes, and consequences. J Econ Lit 38(1):77–114
Schneider F, Williams CC (2013) The shadow economy. Institute of Economic Affairs, London
Schneider F, Buehn A, Montenegro CE (2010) New estimates for the shadow economies all over the world. Int Econ J 24(4):443–461
Smith P (1994) Assessing the size of the underground economy: the statistics Canada perspectives. Can Econ Observer 7:3.16–3.33
Tanzi V (1999) Uses and abuses of estimates of the underground economy. Econ J 109(456):338–340
Vo DH, Ly TH (2014) Measuring the shadow economy in the ASEAN nations: the MIMIC approach. Int J Econ Financ 6(/10):139–148
Williams CC, Schneider F (2016) Measuring the global shadow economy: the prevalence of informal work and labour. Edward Elgar, Cheltenham
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Schneider, F. (2017). New Estimates for the Shadow Economies of 11 Asian Countries from 2000 to 2014. In: Rövekamp, F., Bälz, M., Hilpert, H. (eds) Cash in East Asia. Financial and Monetary Policy Studies, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-319-59846-8_3
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