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Perceived Enablers of Battery Electric Vehicle (BEV) Adoption Among Transport Cooperatives in the Philippines
Authors: Emmanuel P. Paulino
School of Business and Accountancy, De La Salle University Dasmariñas
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Corresponding author: Emmanuel P. Paulino
Contact Information:
empauls@gmail.com
De La Salle University Dasmariñas
Governor’s Drive, Dasmariñas City, Cavite 4115
Philippines
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General Introduction
This dataset contains survey responses collected from transport cooperatives across the three major regions of the Philippines—Luzon, Visayas, and Mindanao. It was designed to assess the perceived enablers of Battery Electric Vehicle (BEV) adoption, including organizational readiness, infrastructure support, environmental and economic drivers, risk governance mechanisms, and government incentives.

Data collection was conducted in 2024, as part of an institutional research project to support academic, industry, and policy discussions surrounding transport electrification in cooperative-based operations. This dataset is made publicly available for use in academic analysis, policymaking, and replication studies related to sustainable transportation and electric mobility in emerging economies.

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Purpose of the research
The primary objective of this dataset is to explore the relationships between enabling conditions (both challenges and opportunities) and the readiness of transport cooperatives to adopt BEV technologies. The study also examines whether cooperative characteristics—such as geographic location, financial capacity, operational maturity, and fleet composition—affect BEV adoption patterns.

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Data Collection and Instruments
Survey data were collected via structured questionnaires, using a 4-point Likert scale (1 = Strongly Disagree to 4 = Strongly Agree). The instrument was pilot-tested prior to deployment to ensure clarity and reliability. The constructs were based on established theoretical frameworks in technology adoption, risk governance, and organizational change.

Responses were recorded from cooperative officers and members directly involved in operational decision-making. The survey was administered both electronically and in printed form, depending on the region's digital accessibility.

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Software and File Format
- File name: BEV.csv
- File type: Comma-Separated Values (CSV)
- Format: UTF-8
- Software compatibility: Excel, LibreOffice, SPSS, R, Python
- No proprietary software required

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Description of the data in this data set
All variables are arranged per respondent entry in the CSV file. Column headings represent either Likert-based survey items or coded profile variables.

Variable Groups and Coding Conventions:

- OrgRead1–OrgReadX: Organizational Readiness items
- InfraRead1–InfraReadX: Infrastructure Readiness items
- EnvEcon1–EnvEconX: Environmental & Economic Considerations
- RiskGov1–RiskGovX: Risk Governance Ecosystem
- GovSupport1–GovSupportX: Government Support
- BEVAdopt1–BEVAdoptX: BEV Adoption Readiness

Demographic/Profile Variables:
- Area: Region of the cooperative — Luzon (1), Visayas (2), Mindanao (3)
- NetWorth: Cooperative’s total net worth —
  (1) Up to Php 3,000,000
  (2) Php 3,000,001–15,000,000
  (3) Php 15,000,001–100,000,000
  (4) More than Php 100,000,000
- YearsOp: Years of operation —
  (1) Up to 3 years
  (2) >3 to 6 years
  (3) >6 to 9 years
  (4) More than 9 years
- BEVShare: Percentage of BEVs in the fleet —
  (2) 1–25%
  (3) 26–50%
  (4) 51–75%

Missing Data:
Missing values are left as blank cells. No codes such as “NA” or “-99” were used.

Units of Measurement:
All Likert items are ordinal (1–4). Profile variables are categorical codes.
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