Dataset Open Access

Data, materials, methods and codes for publication Reis et al., "Understanding the stickiness of commodity supply chains is key to improving their sustainability", 2020, One Earth.

Tiago N. P. dos Reis

Explanation of the data and code used for the article: "Understanding the stickiness of commodity supply chains is key to improving their sustainability", 2020, One Earth.

 The file: "StickinessAnalysisCompleteGeneric_CleanUpdate18-5-2020.R" is the R code/ script containing all the data preparation and the stickiness analysis.

The file: "BRAZIL_SOY_V2.3_WITH_DOMESTIC_TRADERS.csv" contains the raw data of Brazil's soy exports and domestic consumption from trase.earth. This dataset can also be obtained from trase.earth in the latest version.

The file: "NodesCiS.csv" is a table with the Ci (stickiness on linkages) measured for the types of supply chain relationships: A. logistics hubs supplying traders, and D. traders supplying countries. They are put together in the same table because they are all "sending" relationships.

The file: "NodesCiR.csv" is a table with the Ci (stickiness on linkages) measured for the types of supply chain relationships: C. traders sourcing from logistics hubs, and E. countries sourcing from traders. They are put together in the same table because they are all "receiving" relationships.

The file "NodesCiSMunCountry.csv" is a table with the Ci (stickiness on linkages) measured for the types of supply chain relationships: B. logistics hubs supplying countries (directly not passing through traders). This is separate in another table because it is a direct sending relationship from LHs to countries.

The file "NodesCiRMunCountry.csv" is a table with the Ci (stickiness on linkages) measured for the types of supply chain relationships: F. countries sourcing from logistics hubs (directly not passing through traders). This is separate in another table because it is a direct receiving relationship from LHs to countries.

The file: "NodesWPiS.csv" is a table with the WPi (stickiness on flows) measured for the types of supply chain relationships: A. logistics hubs supplying traders, and D. traders supplying countries. They are put together in the same table because they are all "sending" relationships.

The file: "NodesWPiR.csv" is a table with the Ci (stickiness on flows) measured for the types of supply chain relationships: C. traders sourcing from logistics hubs, and E. countries sourcing from traders. They are put together in the same table because they are all "receiving" relationships.

The file "NodesWPiSMunCountry.csv" is a table with the Ci (stickiness on flows) measured for the types of supply chain relationships: B. logistics hubs supplying countries (directly not passing through traders). This is separate in another table because it is a direct sending relationship from LHs to countries.

The file "NodesWPiRMunCountry.csv" is a table with the Ci (stickiness on flows) measured for the types of supply chain relationships: F. countries sourcing from logistics hubs (directly not passing through traders). This is separate in another table because it is a direct receiving relationship from LHs to countries.

Files (124.9 MB)
Name Size
BRAZIL_SOY_V2.3_WITH_DOMESTIC_TRADERS.csv
md5:85458130b22a0584d12c7ee6cea95e7e
121.7 MB Download
NodesCiR.csv
md5:157440740a9b6a50aec06777c77a2515
632.9 kB Download
NodesCiRMunCountry.csv
md5:800f6690833ec520a35a346814a4af6d
164.9 kB Download
NodesCiS.csv
md5:ca2cb8366ca233c46143d0efac9bc460
658.1 kB Download
NodesCiSMunCountry.csv
md5:3b508ca549e394df85e334a5f57224c7
200.6 kB Download
NodesWPiR.csv
md5:c47455ca3a5da142bdc283886091f6ef
528.2 kB Download
NodesWPiRMunCountry.csv
md5:bbd39f1858e14fe000201909cc6204e9
98.4 kB Download
NodesWPiS.csv
md5:c5752d4763bb3ee93dc230fe05e10e10
587.7 kB Download
NodesWPiSMunCountry.csv
md5:ab39f33cbd9e85ad26fd0c7bfa6dc177
165.1 kB Download
StickinessAnalysisCompleteGeneric_CleanUpdate18-5-2020.R
md5:193b68202e3a78f81752ae1feb514f5c
230.5 kB Download
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