Data from:Corruption, development and governance indicators predict invasive species risk from trade

Brenton-Rule EC, Barbieri RF, Lester PJ

Date Published: May 19, 2016

DOI: http://dx.doi.org/10.5061/dryad.1qq64

 

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Title Interception data for "Corruption, development and governance indicators predict invasive species risk from trade"
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Description This data file contains three sheets - "Vegetable Pathway", "Timber Pathway" and "Vehicle Pathway". Details on pathways are described in the ESM of the main manuscript. Governance indicator scores were obtained from the World Bank World Governance Indicators (WGI) database (www.govindicators.org) Development indicator scores were obtained from the World Bank Development Indicators database (http://data.worldbank.org/indicator) The meanings of the columns within each sheet are as follows: Country: Country of commodity origin Year: Year in which interception of non-native species occurred Total trade: Total trade in the selected pathway. Pathways are described in the ESM of the main manuscript. Total detections: Total detections in the defined pathway each year G_voice: Governance indicator of Voice and Accountability G_stability: Governance indicator of Political Stability and Freedom from Violence G_effective: Governance indicator of Government Effectivenss G_regulator: Governance indicator of Regulatory Quality G_law: Governance indicator of Rule of Law G_corruption: Governance indicator of Control of Corruption D_agri: Development indicator of Agricultural land (% of land area) D_export: Development indicator of Exports of goods and services (% of GDP) D_forest: Development indicator of Forest area (% of forest area) D_GDP: Development indicator of Gross domestic product These Governance and Development indicator scores are further described in Table 1 of the main manuscript. Ministry for Primary Industries New Zealand's Ministry for Primary Industries provided access to the data on an ‘as is’ basis. MPI does not warrant as to the quality, accuracy or completeness of the data. MPI or any original data creator does not accept liability for any damages, whether direct or indirect, resulting from the use of the data. The data were obtained from the Data Analysis Team's (Analysis and Profiling Group, Border Standards Directorate, MAFBNZ) "Interception Database" and the MAF Quantum Database. Data includes only border interceptions.
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When using this data, please cite the original publication:

Brenton-Rule EC, Barbieri RF, Lester PJ (2016) Corruption, development and governance indicators predict invasive species risk from trade. Proceedings of the Royal Society B 283(1832): 20160901. http://dx.doi.org/10.1098/rspb.2016.0901

Additionally, please cite the Dryad data package:

Brenton-Rule EC, Barbieri RF, Lester PJ (2016) Data from: Data from:Corruption, development and governance indicators predict invasive species risk from trade. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.1qq64
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