Data Set for Pilot Study of Innovation in the Western Cape Cultural and Creative Industries, 2020-2022

This anonymised unit level data (n=21) was collected as part of piloting three questionnaires to measure innovation in the Western Cape cultural and creative industries in multiple institutional sectors 1) formal businesses, 2) informal businesses and households and 3) non-profit organisations and government departments. Innovation was defined in terms of the Organisation for Economic Co-operation and Development's Oslo Manual (2018). Institutional sectors were defined in terms of the criteria given in the System of National Accounts (2008) and the cultural and creative industries was defined using the UNESCO Framework for Cultural Statistics (2009) combined with Statistics South Africa standard industrial classifications (2012) to the 5-digit level (see KEY tab). Data was collected with via interview (Teams/in-person) or via self-completion (Adobe PDF form). The data were collected during 2023 and 2024, and refer to the reference period 2020-2022.Indicators: [1] Actor & sector indicator categories. Unit of observation: identity and location; industrial category; industrial sub-category (SIC7); industrial sub-category (own); employment; turnover; distribution of turnover by location of clientele/constituency; age; structure; gender; formal educational level; income (2022). [2] Innovation & system indicator categories. Innovation & innovation activities. product innovation; zero-price products; novelty of product innovation; distribution of turnover by product novelty; who developed the product innovation; why develop the product innovation; process innovation; who developed the process innovation; why develop the process innovation; performed R&D; types of non-R&D innovation activities. Sector conditions and innovation strategies. degree of importance of sector-specific factors; factors in decisions to introduce innovations with social and environmental benefits; factors in decisions to start or execute innovation activities; impacts of legislation on innovation activities; technology use (2020-2022) and planned use (2023-2025); cooperation on innovation activities; cooperation partner by location; applied for and obtained, applied for and not obtained, or not applied for funding; use of existing tax incentives; types of IP protection; IP-out transactions; IP-in transactions; willingness to sell IP rights. Innovations with social and environmental benefits. social benefits of innovation and contribution to society; environmental benefits of innovation and contribution to environmental protection. This work is based on research supported in part by the National Research Foundation of South Africa (Grant Numbers: 118873). The University of Johannesburg and the Human Sciences Research Council also provided funding in support of this research. All funding is appreciatively acknowledged.

本匿名化的单元级数据（n=21）是在试点三个问卷调查过程中收集的，旨在衡量开普敦西部文化及创意产业在多个制度部门中的创新情况，包括1)正式企业，2)非正式企业和家庭，以及3)非营利组织与政府部门。创新的概念依据经济合作与发展组织（OECD）的奥斯陆手册（2018年版）进行定义。制度部门依据《2008年国民核算体系》中的标准进行界定，而文化及创意产业则参照联合国教科文组织（UNESCO）的文化统计框架（2009年版）及南非统计局的标准工业分类（2012年版），直至五位数级别（详见“关键”标签页）。数据通过访谈（Teams/面对面）或自我完成（Adobe PDF表格）的形式收集。数据收集时间跨度为2023年至2024年，所涉参考期为2020-2022年。指标包括：[1]行为者与部门指标类别。观察单位：身份与位置；行业分类；行业子分类（SIC7）；行业子分类（自定）；就业；营业额；营业额在客户/选民所在地分布；年龄；结构；性别；正式教育水平；收入（2022年）。[2]创新与系统指标类别。创新与创新活动。产品创新；零价产品；产品创新的创新性；营业额在产品创新新颖性上的分布；谁开发了产品创新；开发产品创新的原因；流程创新；谁开发了流程创新；开发流程创新的原因；进行研发；非研发创新活动的类型。行业状况与创新策略。特定行业因素的重要性程度；引入具有社会和环境效益的创新决策因素；启动或执行创新活动的决策因素；立法对创新活动的影响；技术使用（2020-2022年）及计划使用（2023-2025年）；创新活动的合作；合作伙伴的地域分布；申请并获得、申请未获得或未申请的资金；现有税收激励措施的使用；知识产权保护类型；知识产权输出交易；知识产权输入交易；出售知识产权意愿。具有社会和环境效益的创新。创新的社会效益及其对社会的贡献；创新的环境效益及其对环境保护的贡献。本研究部分得到南非国家研究基金会（项目编号：118873）的支持。乔布斯的大学和南非人文科学研究理事会也为此研究提供了资金支持。所有资助均深表感激。