This page summarizes Enterprise Surveys data for Philippines. The graphs below provide an overview of the sample and highlight the biggest obstacles experienced by private sector firms in Philippines. The 12 tables below the graphs summarize key factual indicators at the country and regional levels for each of the business environment topics. A few subjective indicators are also available.

 

NUMBER OF FIRMS SURVEYED

1,335

Business owners and top managers in 1,335 firms were interviewed from November 2014 through May 2016.

Characteristics of Firms Surveyed

Garments: 151 Chemicals & Chemical Products: 149 Rubber & Plastics Products: 161 Fabricated Metal Products: 154 Food: 159 Other Services: 152 Retail: 146 Other Manufacturing: 141 Electronics: 122 Garments: 151 Chemicals & Chemical Products: 149 Rubber & Plastics Products: 161 Food: 159 Other Services: 152 Food: 159 Food: 159 Garments: 151 Garments: 151 Chemicals & Chemical Products: 149 Chemicals & Chemical Products: 149 Rubber & Plastics Products: 161 Rubber & Plastics Products: 161 Fabricated Metal Products: 154 Fabricated Metal Products: 154 Electronics: 122 Electronics: 122 Other Manufacturing: 141 Other Manufacturing: 141 Retail: 146 Retail: 146 Other Services: 152 Other Services: 152 Small (5-19): 418 Large (100+): 403 Medium (20-99): 514 Small (5-19): 418 Large (100+): 403 Medium (20-99): 514 Small (5-19): 418 Small (5-19): 418 Medium (20-99): 514 Medium (20-99): 514 Large (100+): 403 Large (100+): 403 NCR Excluding Manila: 457 Central Luzon: 256 Metro Manila: 194 Metro Cebu: 201 Calabarzon: 227 NCR Excluding Manila: 457 Central Luzon: 256 Metro Manila: 194 NCR Excluding Manila: 457 NCR Excluding Manila: 457 Central Luzon: 256 Central Luzon: 256 Calabarzon: 227 Calabarzon: 227 Metro Cebu: 201 Metro Cebu: 201 Metro Manila: 194 Metro Manila: 194

NUMBER OF FIRMS SURVEYED

1,335

After being presented with a list of 15 business environment obstacles, business owners and top managers in 1,335 firms were asked to choose the biggest obstacle to their business.

Ranking of the Top Business Environment Obstacle for Firms

Business licenses and permits: 4.5 Customs and trade regulations: 5.0 Transportation: 5.2 Access to land: 6.0 Labor regulations: 6.4 Electricity: 7.9 Tax rates: 9.0 Access to finance: 10.4 Corruption: 11.5 Practices of the informal sector: 20.0

ECONOMY OVERVIEW

Country Highlights summarize the key findings from the Enterprise Survey

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Country Profiles provide key investment climate indicators for a country with benchmarks against their respective regional and income groups

Philippines Country Profile

Philippines Country Profile

581.8KB pdf file

REGION:
East Asia & Pacific
INCOME CATEGORY:
Lower middle income
POPULATION:
100,699,395
GNI PER CAPITA (US $):
3,540

Resources

Custom Data Set

Custom Data Set

Generate a Custom Data Set for Philippines including standard errors, indicator values by firm subgroups, historical data and comparable countries.

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Indicator Philippines East Asia & Pacific All Countries 2  
Bribery incidence (percent of firms experiencing at least one bribe payment request) Percent of firms experiencing at least one bribe payment request during 6 transactions dealing with utilities access, permits, licences, and taxes.

17.2 30.4 17.8  
Bribery depth (% of public transactions where a gift or informal payment was requested) Bribery depth is the percentage of transactions (out of 6 transactions dealing with utilities access, permits, licences, and taxes) where a gift or informal payment was requested.

12.4 23.9 13.9  
Percent of firms expected to give gifts in meetings with tax officials Percent of firms expected to give gifts or an informal payment in meetings with tax officials.

14.1 21.6 13.0  
Percent of firms expected to give gifts to secure government contract Percent of establishments that consider that firms with characteristics similar to theirs are making informal payments or giving gifts to public officials to secure government contract.

20.5 47.3 29.2  
Value of gift expected to secure a government contract (% of contract value) Percentage of the contract value expected as a gift to secure a government contract. Only firms that have confirmed that they have secured or attempted to secure a government contract in the last 12 months were required to answer this question.

0.3 2.4 1.7  
Percent of firms expected to give gifts to get an operating license Percent of firms expected to give gifts or an informal payment to get an operating license.

10.0 21.8 14.4  
Percent of firms expected to give gifts to get an import license Percent of firms expected to give gifts or an informal payment to get an import license.

22.5 32.0 14.6  
Percent of firms expected to give gifts to get a construction permit Percent of firms expected to give gifts or an informal payment to get a construction permit.

39.9 42.3 23.3  
Percent of firms expected to give gifts to get an electrical connection Percent of firms expected to give gifts or an informal payment to get an electrical connection.

20.2 22.5 16.3  
Percent of firms expected to give gifts to get a water connection Percent of firms expected to give gifts or an informal payment to get a water connection.

11.2 23.7 16.0  
Percent of firms expected to give gifts to public officials "to get things done" Percent of establishments that consider that firms with characteristics similar to theirs are making informal payments or giving gifts to public officials to "get things done” with regard to customs, taxes, licenses, regulations, services, etc.

59.4 52.9 22.1  
Percent of firms identifying corruption as a major constraint Percent of firms identifying corruption as a major constraint. The computation of the indicator is based on the rating of the obstacle as a potential constraint to the current operations of the establishment.

35.4 16.1 33.0  
Percent of firms identifying the courts system as a major constraint Percent of firms identifying the courts system as a major constraint. The computation of the indicator is based on the rating of the obstacle as a potential constraint to the current operations of the establishment.

12.4 6.6 14.8  
  • Notes

    * This indicator is computed using data from manufacturing firms only.

    Additional Notes

    1. Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself.
    2. Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2010-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages.
    3. Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document.
    4. Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms.
    5. Standard errors are labeled "n.c.", meaning not computed, for the following:

           1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and

           2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
    6. Please cite our data as follows:

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