Time spent dealing with the requirements of government regulations (% of senior management time) - Country Ranking

Definition: Time spent dealing with the requirements of government regulations is the proportion of senior management's time, in a typical week, that is spent dealing with the requirements imposed by government regulations (e.g., taxes, customs, labor regulations, licensing and registration, including dealings with officials, and completing forms).

Source: World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Panama 33.30 2010
2 Bhutan 28.80 2015
3 Venezuela 27.60 2010
4 Mali 27.50 2016
5 Latvia 26.80 2019
6 Algeria 25.10 2007
7 Burkina Faso 22.20 2009
8 Madagascar 20.80 2013
9 Argentina 20.50 2017
10 Romania 20.10 2019
11 Colombia 19.50 2017
12 Uruguay 19.20 2017
13 Mongolia 18.50 2019
14 Cameroon 17.90 2016
15 Mauritania 17.20 2014
16 Slovak Republic 16.50 2019
17 Cambodia 16.40 2016
18 Ecuador 15.60 2017
19 Côte d'Ivoire 15.20 2016
19 Morocco 15.20 2019
21 Bolivia 15.10 2017
22 Croatia 15.00 2019
23 Brazil 14.20 2009
24 Ireland 13.90 2020
24 Samoa 13.90 2009
26 Mexico 13.60 2010
27 Chad 13.30 2018
27 Belarus 13.30 2018
29 Czech Republic 13.20 2019
30 Sierra Leone 13.10 2017
31 Angola 12.20 2010
31 Syrian Arab Republic 12.20 2009
33 Ethiopia 11.90 2015
34 Peru 11.80 2017
35 Guyana 11.50 2010
36 Niger 11.40 2017
37 Kyrgyz Republic 11.30 2019
38 El Salvador 11.20 2016
39 Nicaragua 11.10 2016
40 Ukraine 10.80 2019
41 Tajikistan 10.70 2019
42 St. Kitts and Nevis 10.60 2010
43 Bulgaria 10.50 2019
43 Belgium 10.50 2020
45 Hungary 10.40 2019
46 Togo 10.30 2016
47 Botswana 10.20 2010
48 Serbia 10.00 2019
49 Chile 9.90 2010
49 Portugal 9.90 2019
51 Afghanistan 9.80 2014
51 Moldova 9.80 2019
53 South Africa 9.70 2020
54 Luxembourg 9.60 2020
55 Honduras 9.40 2016
55 Mauritius 9.40 2009
57 Solomon Islands 9.20 2015
57 Central African Republic 9.20 2011
59 Guatemala 9.10 2017
60 Italy 8.90 2019
60 Paraguay 8.90 2017
62 Papua New Guinea 8.80 2015
63 Kenya 8.60 2018
64 Costa Rica 8.40 2010
65 Malta 8.30 2019
66 Zambia 8.10 2019
67 Trinidad and Tobago 7.90 2010
68 Grenada 7.70 2010
68 Poland 7.70 2019
70 Nigeria 7.50 2014
70 Slovenia 7.50 2019
70 Vanuatu 7.50 2009
73 Finland 7.10 2020
73 Dominican Republic 7.10 2016
75 Tonga 6.60 2009
76 Mozambique 6.50 2018
76 Iraq 6.50 2011
76 Uganda 6.50 2013
79 Netherlands 6.30 2020
80 Lithuania 6.20 2019
81 Greece 6.10 2018
82 Timor-Leste 6.00 2015
82 Congo 6.00 2009
84 Turkey 5.90 2019
85 Denmark 5.80 2020
86 Benin 5.70 2016
87 Russia 5.60 2019
88 Cyprus 5.50 2019
89 Philippines 5.40 2015
89 Liberia 5.40 2017
91 Djibouti 5.30 2013
92 Malawi 5.00 2014
93 Uzbekistan 4.90 2019
93 Suriname 4.90 2018
95 Thailand 4.80 2016
96 Bosnia and Herzegovina 4.70 2019
96 Dem. Rep. Congo 4.70 2013
96 St. Vincent and the Grenadines 4.70 2010
99 Antigua and Barbuda 4.50 2010
100 Fiji 4.40 2009
100 Sweden 4.40 2020
102 Israel 4.30 2013
102 Kazakhstan 4.30 2019
102 Barbados 4.30 2010
105 Sudan 4.10 2014
106 Ghana 4.00 2013
107 The Bahamas 3.90 2010
107 Cabo Verde 3.90 2009
107 Estonia 3.90 2019
107 Guinea 3.90 2016
107 Belize 3.90 2010
112 Pakistan 3.50 2013
113 Bangladesh 3.30 2013
114 Zimbabwe 3.20 2016
115 Namibia 3.10 2014
115 Malaysia 3.10 2015
117 Senegal 3.00 2014
117 Rwanda 3.00 2019
119 Guinea-Bissau 2.90 2006
120 Gabon 2.80 2009
121 Azerbaijan 2.70 2019
121 Lesotho 2.70 2016
123 North Macedonia 2.50 2019
123 The Gambia 2.50 2018
125 Lebanon 2.40 2019
126 Burundi 2.30 2014
126 Albania 2.30 2019
128 St. Lucia 2.20 2010
129 Tanzania 2.00 2013
129 Eswatini 2.00 2016
131 India 1.90 2014
131 Yemen 1.90 2013
131 Dominica 1.90 2010
134 Armenia 1.80 2020
135 Jamaica 1.70 2010
135 Sri Lanka 1.70 2011
135 Georgia 1.70 2019
135 Vietnam 1.70 2015
139 Montenegro 1.50 2019
140 Nepal 1.40 2013
141 Germany 1.20 2005
142 China 0.90 2012
142 Indonesia 0.90 2015
144 Spain 0.80 2005
144 Lao PDR 0.80 2018
144 Myanmar 0.80 2016
147 Eritrea 0.50 2009
148 Egypt 0.40 2020
148 Jordan 0.40 2019
150 Tunisia 0.10 2020
150 Korea 0.10 2005

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Development Relevance: Firms evaluating investment options, governments interested in improving business conditions, and economists seeking to explain economic performance have all grappled with defining and measuring the business environment. The firm-level data from Enterprise Surveys provide a useful tool for benchmarking economies across a large number of indicators measured at the firm level. The reliability and availability of infrastructure benefit households and support development. Firms with access to modern and efficient infrastructure - telecommunications, electricity, and transport - can be more productive. A strong infrastructure enhances the competitiveness of an economy and generates a business environment conducive to firm growth and development. Good infrastructure efficiently connects firms to their customers and suppliers, and enables the use of modern production technologies. Conversely, deficiencies in infrastructure, such as loss of electricity on regular basis, create barriers to productive opportunities and increase costs for all firms, from micro enterprises to large multinational corporations.

Limitations and Exceptions: The sampling methodology for Enterprise Surveys is stratified random sampling. In a simple random sample, all members of the population have the same probability of being selected and no weighting of the observations is necessary. In a stratified random sample, all population units are grouped within homogeneous groups and simple random samples are selected within each group. This method allows computing estimates for each of the strata with a specified level of precision while population estimates can also be estimated by properly weighting individual observations. The sampling weights take care of the varying probabilities of selection across different strata. Under certain conditions, estimates' precision under stratified random sampling will be higher than under simple random sampling (lower standard errors may result from the estimation procedure). The strata for Enterprise Surveys are firm size, business sector, and geographic region within a country. Firm size levels are 5-19 (small), 20-99 (medium), and 100+ employees (large-sized firms). Since in most economies, the majority of firms are small and medium-sized, Enterprise Surveys oversample large firms since larger firms tend to be engines of job creation. Sector breakdown is usually manufacturing, retail, and other services. For larger economies, specific manufacturing sub-sectors are selected as additional strata on the basis of employment, value-added, and total number of establishments figures. Geographic regions within a country are selected based on which cities/regions collectively contain the majority of economic activity. Ideally the survey sample frame is derived from the universe of eligible firms obtained from the country’s statistical office. Sometimes the master list of firms is obtained from other government agencies such as tax or business licensing authorities. In some cases, the list of firms is obtained from business associations or marketing databases. In a few cases, the sample frame is created via block enumeration, where the World Bank “manually” constructs a list of eligible firms after 1) partitioning a country’s cities of major economic activity into clusters and blocks, 2) randomly selecting a subset of blocks which will then be enumerated. In surveys conducted since 2005-06, survey documentation which explains the source of the sample frame and any special circumstances encountered during survey fieldwork are included with the collected datasets. Obtaining panel data, i.e. interviews with the same firms across multiple years, is a priority in current Enterprise Surveys. When conducting a new Enterprise Survey in a country where data was previously collected, maximal effort is expended to re-interview as many firms (from the prior survey) as possible. For these panel firms, sampling weights can be adjusted to take into account the resulting altered probabilities of inclusion in the sample frame.

Original Source Notes: All surveys were administered using the Enterprise Surveys methodology as outlined in the Methodology page which can be found from www.enterprisesurveys.org.

Statistical Concept and Methodology: Firm-level surveys have been conducted since the 1990's by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit. Surveys implemented by the Enterprise Analysis Unit follow the Global Methodology. Private contractors conduct the Enterprise Surveys on behalf of the World Bank. Due to sensitive survey questions addressing business-government relations and bribery-related topics, private contractors, rather than any government agency or an organization/institution associated with government, are hired by the World Bank to collect the data. Confidentiality of the survey respondents and the sensitive information they provide is necessary to ensure the greatest degree of survey participation, integrity and confidence in the quality of the data. Surveys are usually carried out in cooperation with business organizations and government agencies promoting job creation and economic growth, but confidentiality is never compromised. The Enterprise Survey is answered by business owners and top managers. Sometimes the survey respondent calls company accountants and human resource managers into the interview to answer questions in the sales and labor sections of the survey. Typically 1200-1800 interviews are conducted in larger economies, 360 interviews are conducted in medium-sized economies, and for smaller economies, 150 interviews take place. The manufacturing and services sectors are the primary business sectors of interest. This corresponds to firms classified with ISIC codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies with 5 or more employees are targeted for interview. Services firms include construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government/state ownership are not eligible to participate in an Enterprise Survey. Occasionally, for a few surveyed countries, other sectors are included in the companies surveyed such as education or health-related businesses. In each country, businesses in the cities/regions of major economic activity are interviewed. In some countries, other surveys, which depart from the usual Enterprise Survey methodology, are conducted. Examples include 1) Informal Surveys- surveys of informal (unregistered) enterprises, 2) Micro Surveys- surveys fielded to registered firms with less than five employees, and 3) Financial Crisis Assessment Surveys- short surveys administered by telephone to assess the effects of the global financial crisis of 2008-09. The Enterprise Surveys Unit uses two instruments: the Manufacturing Questionnaire and the Services Questionnaire. Although many questions overlap, some are only applicable to one type of business. For example, retail firms are not asked about production and nonproduction workers. The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Aggregation method: Unweighted average

Periodicity: Annual