Choice structuring properties | Variables | Data sources | Explanation of variables and data sources |
---|---|---|---|
Concealability | Number of vessels in port | http://www.marinetraffic.com (University of Aegean (Greece), Department of Product and Systems Design Engineering) | The source provides real-time data on the number of vessels docked at each country’s port. This research used data from November 10, 2014a |
% of a country’s ports within the top 125 ports in the world in total cargo volume | (a) National Geospatial Intelligence Agency World Port Index (2009) (b) American Association of Port Authorities World Port Rankings Report (AAPA 2009) | (a) This source was used to obtain information about the total number of ports in each country (b) This source was used to get information about the top 125 ports by total cargo volume The calculated percentage was recoded into an ordinal measure (‘0’ = no ports; ‘1’ = 15 % or less of ports; ‘2’ = more than 15 % of ports). A total of 43, 21, and 8 countries fit into these groups, respectively | |
Value of fish imports | United Nations FAOSTAT database (UN FAO 2009)b | Data on imports and exports of fish in billion USD were gathered for 2009 | |
Value of fish exports | |||
Convenience | Number of marine species within the country’s waters that are highly commercial internationally | http://seaaroundus.org (University of British Columbia and PEW Charitable Trusts) | Data on highly commercial species were available as of 2009 |
Quality of port infrastructure | World Economic Forum Global Competitiveness Report (WEF 2009) | The WEF (2009) report measures countries on their competitiveness on ‘infrastructure’, among other constructs. The measure ‘quality of port infrastructure’ is one of the subcategories of ‘infrastructure’. Scores for ports range from ‘1’ = extremely underdeveloped; to ‘7’ = well developed and efficient by international standards. These scores were determined by the availability and accessibility of seaport facilities | |
Fisheries MCS | Illegal fishing score | University of British Columbia (UBC) (Pitcher et al. 2006)c | Each country was scored on whether vessels were fishing illegally in its fisheries, with ‘0’ = no; ‘2.5’ = occasionally; ‘5’ = often’ ‘7.5’ = a great deal; and ‘10’ = almost as much, or more than legal vessels. If no information was available, a score of ‘10’ was given to the country. |
Catch inspection schemes score | |||
Observer schemes score | |||
Vessel monitoring schemes score | For each of these fisheries management indicators, countries were scored from 0 to 10, with ‘0’ = no such program is in place and ‘10’ = the program is in place and is almost entirely effective (Pitcher et al. 2006, p. 11) | ||
Scores on control of access to stop illegal fishing | |||
Governance | Political stability and absence of violence/terrorism | World Bank Worldwide Governance Indicators (World Bank 2009) | These indicators are complex indices built by the World Bank using “several hundred variables obtained from 31 different sources” (e.g. public opinion surveys, non-profit organization reports, academic research data, and findings from international non-governmental organizations) (Kaufman, et al. 2010, p. 2) |
Government effectiveness | |||
Control of corruption | |||
Wildlife protection regulation | Number of environmental protection and conservation treaties and conventions a country belongs to | http://seaaroundus.org (University of British Columbia and PEW Charitable Trusts) | These include treaties and conventions related to fisheries, environment, sustainability and other conservation-related issues that a country was a signatory of as of 2009 |
Percentage of territorial waters that are marine protected areas | (a) The UN Millennium Development Goals Indicators database http://mdgs.un.org/unsd/mdg/Data.aspx(2010) d (b) http://seaaroundus.org (University of British Columbia and PEW Charitable Trusts) | This variable was calculated by dividing the country’s ‘marine protected areas in square kilometers’ (as of 2010e) by the country’s area of marine territorial waters. The former was extracted from data source (a), the later from data source (b) | |
Environmental sustainability coefficient | World Economic Forum Global Competitiveness Report (WEF 2013) | The WEF report (WEF 2013)f scores countries from ‘1’ for least sustainable to ‘7’ for most sustainable |