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Replication Data for: Assessment of sustainable development of China's offshore wind power systems: Insight from technology, market, policy, and security
Jul 6, 2025
Hao, Jian; Meng, Bingqian; Li, Shuyu, 2025, "Replication Data for: Assessment of sustainable development of China's offshore wind power systems: Insight from technology, market, policy, and security", https://doi.org/10.7910/DVN/QU4WBE, Harvard Dataverse, V1
This database provides a comprehensive assessment of sustainability indicators for offshore wind power development across China's four major coastal regions, encompassing 11 provinces. It comprises two core datasets: 1) Data.xlsx contains provincial-level measurements for 13 key sustainability indicators (e.g., offshore wind exploitable potential,...
CRITIC and Anti-entropy.xlsx
Jul 6, 2025 - Replication Data for: Assessment of sustainable development of China's offshore wind power systems: Insight from technology, market, policy, and security
MS Excel Spreadsheet - 21.4 KB - MD5: a5f06664cc706076f32c1a7376c7c427
The data in this document present the results of indicator weight calculation. The first table is titled “CRITIC”, which includes the standardized values of the indicators, along with their standard deviation, conflict strength, information content, and corresponding weights. The second table is titled “Anti-entropy”, which includes the standardize...
data.xlsx
Jul 6, 2025 - Replication Data for: Assessment of sustainable development of China's offshore wind power systems: Insight from technology, market, policy, and security
MS Excel Spreadsheet - 14.4 KB - MD5: 6c149c40a84049ac8db7657b55006b58
The data represents the sustainability evaluation indicators for offshore wind power development in China’s four major coastal regions, which include 11 provinces. The first table is titled “Provincial-Level Indicator Data”, and it presents the results of 13 indicators, such as Offshore wind exploitable potential, R&D innovation capability, Wind cu...
A replication of “Explaining why the computer says no: Algorithmic transparency affects the perceived trustworthiness of automated decision-making”
Jul 6, 2025
Fang, Xuemei; Zhou, Huayu; Chen, Song, 2025, "A replication of “Explaining why the computer says no: Algorithmic transparency affects the perceived trustworthiness of automated decision-making”", https://doi.org/10.7910/DVN/KV3GHH, Harvard Dataverse, V1, UNF:6:g5NH++9E2GCB3LS0RUQctA== [fileUNF]
This dataset contains all variables necessary to replicate the analysis in the study. Abstract: With the advancement of artificial intelligence, algorithms are transforming the operations of the public sector. However, lack of algorithm transparency may result in issues such as algorithmic bias and accountability challenges, ultimately undermining...
Codebook .pdf
Jul 6, 2025 - A replication of “Explaining why the computer says no: Algorithmic transparency affects the perceived trustworthiness of automated decision-making”
Adobe PDF - 100.1 KB - MD5: 7ceff2b711a38eb3f01ec7010dbd082a
Experiment1-3_raw_data.csv
Jul 6, 2025 - A replication of “Explaining why the computer says no: Algorithmic transparency affects the perceived trustworthiness of automated decision-making”
Comma Separated Values - 235.2 KB - MD5: 59f1e19083aec1e9231b2532550d8315
Interaction Analysis.tab
Jul 6, 2025 - A replication of “Explaining why the computer says no: Algorithmic transparency affects the perceived trustworthiness of automated decision-making”
Tabular Data - 104.8 KB - 14 Variables, 3546 Observations - UNF:6:AGTGVAWIp5GtmwaHEOUM0w==
Order effects.tab
Jul 6, 2025 - A replication of “Explaining why the computer says no: Algorithmic transparency affects the perceived trustworthiness of automated decision-making”
Tabular Data - 114.1 KB - 14 Variables, 3546 Observations - UNF:6:DaNnUQWAdljMFVSw+nARTg==
Study1_encoded_data.tab
Jul 6, 2025 - A replication of “Explaining why the computer says no: Algorithmic transparency affects the perceived trustworthiness of automated decision-making”
Tabular Data - 50.8 KB - 19 Variables, 1182 Observations - UNF:6:wrczIno3p168LsEDi/s+Sw==
Study2_encoded_data.tab
Jul 6, 2025 - A replication of “Explaining why the computer says no: Algorithmic transparency affects the perceived trustworthiness of automated decision-making”
Tabular Data - 50.8 KB - 19 Variables, 1182 Observations - UNF:6:P8D0Hjf4vSjCf/3DGx/TrA==
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