The Human Capital Index (HCI) is an annual measurement prepared by the World Bank.[1] HCI measures which countries are best in mobilizing their human capital, the economic and professional potential of their citizens. The index measures how much capital each country loses through lack of education and health. The index ranges between 0 and 1, with 1 meaning maximum potential is reached.[2] HCI is used in country studies of employment and wages, for example in Ukraine after Russia's invasion.[3]

Methodology edit

The applications to measuring human capital were developed in research by Noam Angrist, Simeon Djankov, Pinelopi Koujianou Goldberg, and Harry Patrinos in the scientific journal Nature.[4][5] These findings were popularized in a 2021 article.[6] HCI is grounded on the following three pillars:[7]

Survival

  • Percentage of children surviving past the age of 5

School

  • Quantity of education (Expected years of schooling by age 18)
  • Quality of education (Harmonized test scores)

Health

  • Adult survival rates (Percentage of 15-year-olds who survive until age 60)
  • Healthy growth among children (Stunting rates of children under 5)

History edit

The Human Capital Index was first published as part of the World Bank's World Development Report 2019, directed by Simeon Djankov and Federica Saliola. Nobel Prize winner Paul Romer started the measurement.

List of countries by HCI edit

List of countries by Human Capital Index 2020[8]
Rank Country / Region Score (% of potential reached)
1   Singapore 0.88
2   Hong Kong 0.81
3   Japan 0.80
4   South Korea 0.80
5   Canada 0.80
6   Finland 0.80
7   Macao 0.80
8   Sweden 0.80
9   Ireland 0.79
10   Netherlands 0.79
11   United Kingdom 0.78
12   Estonia 0.78
13   New Zealand 0.78
14   Slovenia 0.77
15   Norway 0.77
16   Australia 0.77
17   Portugal 0.77
18   France 0.76
19   Belgium 0.76
20   Switzerland 0.76
21   Cyprus 0.76
22   Denmark 0.76
23   Poland 0.75
24   Czech Republic 0.75
25   Germany 0.75
26   Austria 0.75
27   Iceland 0.75
28   Israel 0.73
29   Spain 0.73
30   Italy 0.73
31   Croatia 0.71
32   Malta 0.71
33   Latvia 0.71
34   Lithuania 0.71
35   United States 0.70
36   Belarus 0.70
37   Greece 0.69
38   Vietnam 0.69
39   Luxembourg 0.69
40   Hungary 0.68
41   Russia 0.68
42   Serbia 0.68
43   United Arab Emirates 0.67
44   Slovakia 0.66
45   China 0.65
46   Bahrain 0.65
47   Chile 0.65
48   Turkey 0.65
49   Qatar 0.64
50   Albania 0.63
51   Montenegro 0.63
52   Seychelles 0.63
53   Ukraine 0.63
54   Costa Rica 0.63
55   Kazakhstan 0.63
56   Brunei 0.63
57   Uzbekistan 0.63
58   Mauritius 0.62
59   Mongolia 0.61
60   Bulgaria 0.61
61   Mexico 0.61
62   Malaysia 0.61
63   Thailand 0.61
64   Oman 0.61
65   Peru 0.61
66   Colombia 0.61
67   Trinidad and Tobago 0.60
68   Saint Lucia 0.60
69   Argentina 0.60
70   Uruguay 0.60
71   Sri Lanka 0.60
72   Kyrgyzstan 0.60
73   Antigua and Barbuda 0.60
74   Ecuador 0.59
75   Iran 0.59
76   Palau 0.59
77   Saint Kitts and Nevis 0.59
78   Romania 0.58
79   Moldova 0.58
80   Palestine 0.58
81   Bosnia and Herzegovina 0.58
82   Armenia 0.58
83   Azerbaijan 0.58
84   Saudi Arabia 0.58
85   Georgia 0.57
86   Kosovo 0.57
87   Grenada 0.57
88   Kuwait 0.56
89   North Macedonia 0.56
90   Jordan 0.55
91   Brazil 0.55
92   Samoa 0.55
93   Kenya 0.55
94   El Salvador 0.55
95   Dominica 0.54
96   Indonesia 0.54
97   Jamaica 0.53
98   Algeria 0.53
99   Saint Vincent and the Grenadines 0.53
100   Tonga 0.53
101   Paraguay 0.53
102   Tunisia 0.52
103   Philippines 0.52
104   Lebanon 0.52
105   Fiji 0.51
106   Nauru 0.51
107   Nicaragua 0.51
108   Federated States of Micronesia 0.51
109   Nepal 0.50
110   Morocco 0.50
111   Tajikistan 0.50
112   Dominican Republic 0.50
113   Panama 0.50
114   Guyana 0.50
115   Egypt 0.49
116   India 0.49
117   Kiribati 0.49
118   Cambodia 0.49
119   Honduras 0.48
120   Myanmar 0.48
121   Bhutan 0.48
122   Zimbabwe 0.47
123   Bangladesh 0.46
124   Guatemala 0.46
125   Gabon 0.46
126   Laos 0.46
127   Vanuatu 0.45
128   Timor-Leste 0.45
129   Ghana 0.45
130   Tuvalu 0.45
131   Haiti 0.45
132   Namibia 0.45
133   Togo 0.43
134   Papua New Guinea 0.43
135   South Africa 0.43
136   Marshall Islands 0.42
137   Gambia 0.42
138   Senegal 0.42
139   Solomon Islands 0.42
140   Republic of the Congo 0.42
141   Botswana 0.41
142   Malawi 0.41
143   Iraq 0.41
144   Pakistan 0.41
145   Comoros 0.40
146   Lesotho 0.40
147   Benin 0.40
148   Afghanistan 0.40
149   Cameroon 0.40
150   Zambia 0.40
151   Madagascar 0.39
152   Tanzania 0.39
153   Burundi 0.39
154   Uganda 0.38
155   Burkina Faso 0.38
156   Ethiopia 0.38
157   Mauritania 0.38
158   Ivory Coast 0.38
159   Rwanda 0.38
160   Sudan 0.38
161   Yemen 0.37
162   Eswatini 0.37
163   Guinea 0.37
164   Democratic Republic of the Congo 0.37
165   Sierra Leone 0.36
166   Angola 0.36
167   Mozambique 0.36
168   Nigeria 0.36
169   Liberia 0.32
170   Mali 0.32
171   South Sudan 0.31
172   Chad 0.30
173   Niger 0.29

See also edit

References edit

  1. ^ Gatti, Roberta (2022-10-15). "Human Capital Project". World Bank.
  2. ^ Edwards, Sophie (2019-04-01). "Q&A: World Bank human capital index gathers momentum". Devex.
  3. ^ Blinov, Oleksiy; Djankov, Simeon (2022-11-17). "Ukraine's wages and job loss trends during the war". CEPR.
  4. ^ Angrist, Noam (2021-03-10). "Measuring human capital using global learning data". Nature. 592 (7854). Nature: 403–408. doi:10.1038/s41586-021-03323-7. PMC 8046667. PMID 33692542.
  5. ^ Angrist, Noam; Djankov, Simeon; Goldberg, Pinelopi K.; Patrinos, Harry A. (2019). "Measuring Human Capital". World Bank. doi:10.1596/1813-9450-8742.
  6. ^ Angrist, Noam; Djankov, Simeon; Goldberg, Pinelopi; Patrinos, Harry (2021-04-09). "Measuring human capital: Learning matters more than schooling". CEPR.
  7. ^ Kraay, Aart (2018-09-25). Methodology for a World Bank Human Capital Index. Policy Research Working Papers. The World Bank. doi:10.1596/1813-9450-8593. hdl:10986/30466. S2CID 170011611.
  8. ^ "Human Capital". World Bank. Retrieved 2021-04-20.

External links edit