Database for Improving Data Collection among National and Provincial Statistical Agencies to Enhance Policymaking for the Cultural and Creative Industries
Welcome to the comprehensive database for the "Improving Data Collection among National and Provincial Statistical Agencies to Enhance Policymaking for the Cultural and Creative Industries" project, a collaborative effort aimed at enhancing the efficacy of policymaking in the cultural and creative industries. Funded by the International Fund for Cultural Diversity (IFCD), UNESCO, this initiative strives to streamline data collection processes among national and provincial statistical agencies, facilitating informed decision-making to foster growth and innovation within these sectors. Our database serves as a centralized platform, consolidating valuable insights and metrics crucial for shaping effective policies and strategies. With a focus on optimizing data collection methodologies and promoting collaboration among stakeholders, this project aims to propel the cultural and creative industries towards sustained prosperity and development.
To enhance the understanding and economic contribution of Cultural and Creative Industries (CCI), this study explores the feasibility of creating Cultural and Creative Activity Satellite Accounts (CCASA) for Australia. It operates under a broad definition of cultural industries, reflecting the symbolic essence of societies through traditions, values, and beliefs, with creativity and intellectual property at its core.
Industry Classification:
The concentric model classifies industries into:
Purpose of Satellite Accounts:
The concentric model classifies industries into:
Detailed Components:
Methods Employed:
Economic Indicators:
Objective:
The study conducted by KPMG aims to measure the economic contribution of the Arts and Culture sector by examining activity and employment levels. It leverages the Australian Culture and Leisure Classification System (ACLC) defined by the Australian Bureau of Statistics (ABS).
Classification System Components:
The study delineates 10 industrial sectors for measurement:
Economic Indicators Used:
Economic Indicators:
Assumptions:
It's assumed that the 10 Victorian ACLC industries maintain the same proportion of total output made up by wages, profit, and taxes/subsidies as their related national cultural industries.
Analysis Methodology:
A Computable General Equilibrium (CGE) model, specifically The Enormous Regional Model (TERM), was employed to analyze the long-term economic flow-through effects of changes in one sector to others, adjusting for labor and capital across the economy.
This study provides an insightful economic analysis of the Arts and Culture sector, contributing valuable data for policy-making and understanding the sector's impact on the broader economy.
https://assets.publishing.service.gov.uk/media/5a8039af40f0b62302692413/CIEE_Methodology.pdf
The Creative Industries Economic Estimates (CIEE) paper outlines the methodology for quantifying the economic contributions of the UK's Creative Industries, focusing on three main indicators: employment, Gross Value Added (GVA), and exports of services. The paper defines the Creative Industries based on individual creativity, skill, talent, and their potential for wealth and job creation through intellectual property exploitation.
Methodology Overview:
Creative Intensity: This concept is crucial for identifying Creative Industries. It represents the proportion of creative jobs within an industry. An industry is classified as 'creative' if it has over 6,000 jobs and a creative intensity over 30%. These industries are identified using Standard Occupational Classification (SOC) data.
Key Components:
Creative Industries - Employment:
Creative Economy:
Creative Industries - GVA:
GVA is calculated using approximate GVA from the Annual Business Survey, representing value directly attributable to Creative Industries.
For the broader Creative Economy, the GVA from non-creative industries is proportionally allocated based on their creative occupations.
Creative Industries - Exports:
Key Takeaways:
This methodology allows for a nuanced understanding and quantification of the Creative Industries' contribution to the UK's economy, aiding policy-making and industry support initiatives.
https://pec.ac.uk/news/national-statistics-on-the-creative-industries
In 2001, the Creative Industries were defined by the Department for Digital, Culture, Media and Sport (DCMS) as those industries ‘which have their origin in individual creativity, skill and talent and which have a potential for wealth and job creation through the generation and exploitation of intellectual property’: UK Government 2021.
For the present, DCMS has modified the above definition to include the concept of “creative intensity” which is that an industry is considered creative when more than 30% of its workforce are employed in creative occupations like designers etc. thus, Creative Industries includes:
The rest of the article talks about general statistics of these industries like their economic contribution figure, number of jobs in the industry, location (geography) etc.; the skills of the people employed in these industries; their education; R&D employed for the industry; international trade and export; class, diversity and socio-economic status.
The UNESCO Framework for Cultural Statistics (FCS) offers a comprehensive approach to understanding and measuring the socio-economic contributions of culture, emphasizing international adaptability and comparability. Below are the key methodological takeaways, reformatted for clarity and with full names of abbreviations:
Definition of Culture: Culture encompasses spiritual, material, intellectual, and emotional features of society or social groups. It includes art, literature, lifestyles, value systems, traditions, and beliefs. The FCS aims to measure cultural activities, goods, and services generated by both industrial and non-industrial processes, considering their artistic, aesthetic, symbolic, and spiritual values.
Cultural Domain Concept: To capture both economic and social aspects of culture, FCS uses the idea of "Cultural Domains". This includes:
International Classification: FCS encourages the use of international classifications for the economic measurement of culture, such as:
Cultural Participation Measurement: To gauge the social aspect of cultural industries, FCS references the UIS 2006 report and divides cultural participation into three main categories:
For measuring these activities, time use surveys for home-based activities and sample population surveys for "going out" and "identity building" are mostly used. The International Classification of Activities for Time-Use Statistics (ICATUS) is recommended.
In essence, the FCS provides a multifaceted and adaptable framework to understand and measure the impact of culture, focusing on both tangible and intangible, economic and social dimensions. It encourages the use of standardized methods and classifications to ensure consistency and comparability across different cultural contexts.
https://apo.org.au/sites/default/files/resource-files/2010-05/apo-nid184721.pdf
This comprehensive chapter focuses on measuring the economic contribution of cultural industries at national and international levels using Culture Satellite Accounts (CSAs). Here are the main takeaways, formatted for clarity:
Background and Purpose: The chapter underscores the growing importance of cultural industries in the economy, evidenced by their increasing share in GDP. It highlights the need for reliable methods to measure this impact, primarily through Culture Satellite Accounts.
International Efforts and Challenges: Countries like Finland, Canada, and Spain have established CSAs, but differences in defining cultural industries make international comparisons challenging.
Key Topics Addressed:
Culture Satellite Accounts:
Swedish Context:
Regional Culture Satellite Accounts: While there are good prospects for regional CSAs from the supply side, difficulties exist in estimating regional cultural use.
Concluding Remarks: Establishing CSAs in Sweden is feasible and important for monitoring cultural economy's role in society. Challenges include improving occupational statistics and defining cultural use. International harmonization of cultural statistics is essential for meaningful comparisons.
In summary, the chapter provides an in-depth exploration of the complexities and methodologies involved in measuring the economic impact of cultural industries through Culture Satellite Accounts, highlighting the challenges and potential for implementation at both national and regional levels.
https://storymaps.arcgis.com/stories/eee3b3c15aca435bbcc59906d65c0c18
This report talks about an extension of input-output software model, called IMPLAN. It uses government data about industries and allows an economic impact analysis. Using the model following data was collected for creative industries:
The analysis is done through Industry Contribution Analysis which measures the value of an industry at their current production level rather than by economic impact analysis.
The creative industries were defined by using Americans for the Arts creative industry list and IMPLAN industry codes as well as North American Industry Classification System (NAICS).
https://unesdoc.unesco.org/ark:/48223/pf0000154956
The Framework for Cultural Industry Statistics is a meticulous guideline developed to systematically understand, analyze, and integrate cultural industries into national and policy development. It is centered around a widely accepted definition of cultural industries, emphasizing their role in producing artistic and creative outputs, with significant potential for wealth and income generation. The industries covered are extensive, ranging from advertising and crafts to television, music, and publishing.
To effectively gather data on the often nuanced and broad-ranging cultural industries, the Framework outlines a prototype for National Cultural Industries Data Projects with four distinct components:
Diagnostic Sector Survey Model: This foundational model utilizes existing data sets such as national accounts and labor force surveys to compile basic country data across various domains, including policy, legal, and institutional frameworks. It aims to provide a thorough diagnostic of the cultural industry's structure and performance, leading to the creation of comprehensive mapping and baseline data, which serve as a foundation for further stakeholder engagement and analysis.
Statistical Data Collection and Analysis: Comprising four detailed modules, this component focuses on the economic and social metrics of cultural industries. Each module is tailored to different aspects, such as the valuation of core copyright industries, economic impacts of crafts and heritage sectors, employment pattern changes, and social implications marked by cultural participation and consumption. The objective is to foster a systematic approach to data collection and analysis that can be standardized and used for regional comparisons and international benchmarking.
Policy Case Studies: This component involves conducting focused case studies, especially targeting small and medium-sized enterprises in disadvantaged regions. It aims to understand and evaluate the effects of specific policy measures on cultural industries. These studies are crucial for mapping cultural industry clusters, analyzing policy environments, and developing methodologies that contribute to national and international knowledge bases, thereby aiding in policy formulation and adjustment.
Benchmarking Creativity: The final component is dedicated to developing a Creativity Index, which involves defining and measuring creativity within economic and social development contexts. By leveraging the data collected from the second component and other sources, it aims to compile both a national Creativity Index and an Asia-Pacific Regional Creativity Index. These indices are vital tools for understanding, comparing, and promoting creativity as a core aspect of cultural industries within different socio-economic contexts.
In sum, the Framework is a comprehensive attempt to standardize the understanding and reporting of cultural industry statistics. It emphasizes the multifaceted nature of cultural industries and the need for detailed, varied methodologies to capture their economic and social dimensions. This approach not only facilitates national capacity building and policy formulation but also enhances the comparability and utility of cultural industry data across different countries and regions.
https://unesdoc.unesco.org/ark:/48223/pf0000371562
The "Thematic Indicators for Culture in the 2030 Agenda" is a sophisticated framework and methodological tool designed to assist countries in assessing the contribution of culture to the Sustainable Development Goals (SDGs) within the 2030 Agenda. It emphasizes culture's integral role across various SDGs and policy areas. The framework's objectives are multifaceted:
The framework encompasses 22 indicators under three main pillars of the SDGs—economic, social, and environmental—along with a fourth dimension focusing on education, knowledge, and skills in cultural fields. Its guiding principles include using existing data sources, employing both qualitative and quantitative data, integrating data from UNESCO Culture Conventions & programs, measuring culture at national and urban levels, prioritizing capacity building, fostering institutional cooperation, adapting the framework to various statistical capacities, providing an aspirational tool, and aligning with the Results-Based Management conceptual framework.
Data sources for the framework are diverse, ranging from UIS and National Statistics Institutions to NGOs, universities, specific surveys, and public agencies.
The framework is structured into four thematic dimensions:
Each dimension and its respective indicators are described in detail, including their purpose, data sources, methodology, and relevant comments. This comprehensive approach ensures a thorough understanding of culture's multifaceted role in achieving sustainable development, thereby aiding countries in effectively aligning their cultural policies with the 2030 Agenda.
The document on cultural participation surveys is a detailed guide designed to assist countries in understanding and measuring public engagement in cultural activities. This is crucial for addressing social policy aspects and is tailored to provide a framework adaptable to specific national contexts while drawing insights from international practices. Here's a more detailed summary with added information:
Purpose of Cultural Participation Survey:
Understanding Engagement: To gauge the extent of public involvement in cultural activities, addressing both the social policy aspects and cultural engagement levels. International Framework: Compiling and analyzing surveys from various countries to help nations develop their own customized surveys.
Survey Content and Structure:
Operational Definition of Cultural Participation:
Defined as measuring and understanding the quantitative and qualitative aspects of participation in any activity that enhances individuals' cultural and informational capacity and capital, contributing to identity formation and personal expression.
Considerations in Data Analysis:
Independent Variables: Including gender, age, geographical area, urban/rural location, education level, household structure, economic activity, income level, race/ethnicity, class/caste, religious affiliation, arts knowledge/competence, and language.
Cross-National Variations: Recognizing that these variables may have different meanings or measurement methods in different countries.
Key Statistical Indicators:
Participation Rate: Percentage of the population engaging in cultural activities within a specific period.
Frequency Rate: Average attendance per person during a given period.
Time Allocation: Time spent on leisure and cultural activities, reported as daily/weekly rates.
Cultural Expenditure: Measured as household expenditure devoted to cultural activities, adjusted for purchasing power standards (PPS) to account for price differentials.
Data Sources:
Administrative Data: Includes metrics like the number of visits to cultural facilities, type of institutions visited, book/newspaper purchases, library usage, digital engagement, and cultural association memberships.
Survey Data: Comprising audience/visitor surveys, general population surveys, time use surveys, and household expenditure surveys.
Data Collection Methods:
Qualitative Methods: Methods such as expert interviews, focus groups, observation, and case studies.
Methodological Considerations: Addressing issues like survey definitions, population definition, survey duration, sampling methods, and data collection techniques.
Additional Survey Topics:
Social Capital: Integration of social capital modules, acknowledging the lack of universally agreed measures.
Education and Literacy: Exploring the link between education levels and cultural participation.
Tourism: Studying patterns of tourists, particularly cultural tourists.
Media Use: Assessing the presence and use of various media in households, following international standards.
Annexures:
The document includes detailed summaries of various surveys and a link to comprehensive questionnaires (not accessible in the summary).
In summary, the document is an extensive resource for understanding and measuring cultural participation, offering a range of methodologies, detailed survey structures, data sources, and key indicators. It's designed to aid countries in developing culturally sensitive and context-specific participation surveys, considering various societal and cultural factors.
https://unesdoc.unesco.org/ark:/48223/pf0000122897
The survey targeting the film world within the cultural industries aimed to capture a comprehensive picture of national production capacities and international trade in the sector. Conducted in 1999, it reached out to 185 UNESCO member states through their National Commissions, alongside 40 national filmmaker associations, making it a broad and inclusive inquiry.
The survey was structured with questions covering a wide array of areas:
The survey not only collected data but also summarized the responses received, providing a comprehensive overview of the state of the film industry in various countries. Additionally, the study presented the full questionnaire used for the survey, offering transparency and insight into the methodology and areas of inquiry. This survey was a significant effort to understand the complex and varied landscape of the global film industry, with implications for policy, trade, and cultural exchange.
https://www.statcan.gc.ca/en/concepts/ues/2018
The survey included questions for collecting the survey participants information.
UIS_CLT_CE_2016 (1) - Google Sheets
Questionnaire
https://www.statcan.gc.ca/en/concepts/ues/2018
Contains surveys.