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1 – 10 of over 219000Hens Runhaar, Carel Dieperink and Peter Driessen
The paper seeks to propose the basic competencies of environmental social scientists regarding policy analysis for sustainable development. The ultimate goal is to contribute to…
Abstract
Purpose
The paper seeks to propose the basic competencies of environmental social scientists regarding policy analysis for sustainable development. The ultimate goal is to contribute to an improvement of educational programmes in higher education by suggesting a toolbox that should be integrated in the curriculum.
Design/methodology/approach
Starting from the basic research questions regarding governance for sustainable development, five methods are identified capable of answering the following questions: reconstruction of policy theories; stakeholder analysis; impact assessment; cost‐benefit analysis; discourse analysis. Relevant information was collected through a literature review and practical experience by the authors.
Findings
These include: minimum content of the toolbox with methods of policy analysis for sustainable development; examples of how the toolbox can be applied; strengths and weaknesses of the methods; specification of competencies of environmental social scientists active in the area of policy analysis for sustainable development.
Practical implications
The paper proposes which methods of policy analysis for sustainable development should be integrated in higher education as well as how this should be done.
Originality/value
The paper systematically analyses the implications of the policy context in the domain of sustainable development for policy analysis in this area. In addition it gives a review of five basic methods: how they can be used to analyse policy issues from a sustainable development perspective. Aiming at reinforcing the input of scientific research in policy‐making, the paper eventually aims to promote sustainable development.
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Xiao-Long Gan, Kexin Xie, Hanqiu Liu, Raufdeen Rameezdeen and Tao Wen
The purpose of this paper is to analyse the policy instruments used by the China's Government on prefabricated construction (PC) development, with the aim to clarify the pattern…
Abstract
Purpose
The purpose of this paper is to analyse the policy instruments used by the China's Government on prefabricated construction (PC) development, with the aim to clarify the pattern and discover the focus of the policy instruments using the methods of bibliometric analysis and content analysis.
Design/methodology/approach
Through a thorough screening by all researchers, 25 policies were identified from 1995 to 2021 were selected and analysed. The external attribute analysis clarified the issuing year, organisation, and the format of each policy. The content analysis was adopted firstly to analyse the policy instrument. An analysis framework including environmental instruments, supply instruments and demand instruments was applied in categorising and counting of each policy instrument. The bibliometric analysis was then carried out to extract keywords of the policy instruments, construct a co-word network and complete the cluster analysis.
Findings
The results indicate that the policies lack consistency and had relatively low authority. The results of content analysis show that the policy system relies heavily on environmental and supply instruments, whilst the use of demand instruments seems to be grossly inadequate. The results of the bibliometric analysis identify the core ideas of each policy instrument category, discuss the existing problems and then put forward the corresponding countermeasures.
Research limitations/implications
This study comprehensively and systematically analysed the policy instruments on facilitating the development of PC in China which broaden the research perspectives of the PC development by introducing the methods of political science. The research findings afford helpful information for future policy adjustments and elucidate the effective delivery of policies to facilitate PC development for developing countries.
Originality/value
This study provides an in-depth understanding of policy instruments used by China's Government on PC development. By integrating the policy instrument analysis framework into the mixed methods of content analysis and bibliometric analysis, this study provides an innovative way to conduct policy instrument analysis.
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This chapter offers a pedagogical, analytical and heuristic framework for the critical analysis of higher education policy texts, and of the processes and motivations behind their…
Abstract
This chapter offers a pedagogical, analytical and heuristic framework for the critical analysis of higher education policy texts, and of the processes and motivations behind their articulations, grounded in considerations of relationships and flows between language, power and discourse. Theoretically the framework draws on critical discourse analysis, which provides a systematic framework for exegesis, analysis and interpretation, uncloaking the ways in which language (and other semiotic modes) work within discourse as agents and actors in the realisation, construction and perception of relations of power. The framework itself comprises two elements: one concerned with contextualising and one with deconstructing. The contextualisation element of the frame comprises three parts: temporal context, policy levers/drivers and warrant. The second element of deconstruction engages with text and discourse using a number of analytical lenses and tools derived from critical discourse analysis and critical literacy analysis.
Nihan Yildirim, Derya Gultekin, Cansu Hürses and Abdullah Mert Akman
This paper aims to use text mining methods to explore the similarities and differences between countries’ national digital transformation (DT) and Industry 4.0 (I4.0) policies…
Abstract
Purpose
This paper aims to use text mining methods to explore the similarities and differences between countries’ national digital transformation (DT) and Industry 4.0 (I4.0) policies. The study examines the applicability of text mining as an alternative for comprehensive clustering of national I4.0 and DT strategies, encouraging policy researchers toward data science that can offer rapid policy analysis and benchmarking.
Design/methodology/approach
With an exploratory research approach, topic modeling, principal component analysis and unsupervised machine learning algorithms (k-means and hierarchical clustering) are used for clustering national I4.0 and DT strategies. This paper uses a corpus of policy documents and related scientific publications from several countries and integrate their science and technology performance. The paper also presents the positioning of Türkiye’s I4.0 and DT national policy as a case from a developing country context.
Findings
Text mining provides meaningful clustering results on similarities and differences between countries regarding their national I4.0 and DT policies, aligned with their geographic, economic and political circumstances. Findings also shed light on the DT strategic landscape and the key themes spanning various policy dimensions. Drawing from the Turkish case, political options are discussed in the context of developing (follower) countries’ I4.0 and DT.
Practical implications
The paper reveals meaningful clustering results on similarities and differences between countries regarding their national I4.0 and DT policies, reflecting political proximities aligned with their geographic, economic and political circumstances. This can help policymakers to comparatively understand national DT and I4.0 policies and use this knowledge to reflect collaborative and competitive measures to their policies.
Originality/value
This paper provides a unique combined methodology for text mining-based policy analysis in the DT context, which has not been adopted. In an era where computational social science and machine learning have gained importance and adaptability to political and social science fields, and in the technology and innovation management discipline, clustering applications showed similar and different policy patterns in a timely and unbiased manner.
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Maria M. Raciti, Catherine Manathunga and Jing Qi
Social marketing and government policy are intertwined. Despite this, policy analysis by social marketers is rare. This paper aims to address the dearth of policy analysis in…
Abstract
Purpose
Social marketing and government policy are intertwined. Despite this, policy analysis by social marketers is rare. This paper aims to address the dearth of policy analysis in social marketing and introduce and model a methodology grounded in Indigenous knowledge and from an Indigenous standpoint. In Australia, a minuscule number of First Nations people complete doctoral degrees. The most recent, major policy review, the Australian Council of Learned Academies (ACOLA) Report, made a series of recommendations, with some drawn from countries that have successfully uplifted Indigenous doctoral candidates’ success. This paper “speaks back” to the ACOLA Report.
Design/methodology/approach
This paper subjects the ACOLA Report, implementation plans and evaluations to a detailed Indigenous Critical Discourse Analysis using Nakata’s Indigenous standpoint theory and Bacchi’s Foucauldian discourse analysis to trace why policy borrowing from other countries is challenging if other elements of the political, social and cultural landscape are fundamentally unsupportive of reforms.
Findings
This paper makes arguments about the effects produced by the way the “problem” of First Nations doctoral education has been represented in this suite of Australian policy documents and the ways in which changes could be made that would actually address the pressing need for First Nations doctoral success in Australia.
Originality/value
Conducting policy analysis benefits social marketers in many ways, helping to navigate policy complexities and advocate for meaningful policy reforms for a social cause. This paper aims to spark more social marketing policy analysis and introduces a methodology uncommon to social marketing.
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Leonardo Secchi, Luiz Filipe Goldfeder Reinecke and Willian Carlos Narzetti
Abstract
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Kaili Wang, Ke Dong, Jiachun Wu and Jiang Wu
The purpose of this paper is to identify the historical trends and status of the national development of artificial intelligence (AI) from a nationwide perspective and to enable…
Abstract
Purpose
The purpose of this paper is to identify the historical trends and status of the national development of artificial intelligence (AI) from a nationwide perspective and to enable governments at different administrative levels to promote AI development through policymaking.
Design/methodology/approach
This paper analyzed 248 Chinese AI policies (36 issued by the state agencies and 212 by the regional agencies). Policy bibliometrics, policy instruments and network analysis were used to reveal the AI policy patterns. Three aspects were analyzed: the spatiotemporal distribution of issued policies, the policy foci and instruments of policy contents and the cooperation and citation among policy-issuing agencies.
Findings
Results indicate that Chinese AI development is still in the initial phase. During the policymaking processes, the state and regional policy foci have strong consistency; however, the coordination among state and regional agencies is supposed to be strengthened. According to the issuing time of AI policies, Chinese AI development is in accordance with the global situation and has witnessed unprecedented growth in the last five years. And the coastal provinces have issued more targeted policies than the middle and western provinces. Governments at the state and regional levels have emphasized familiar policy foci and played the role of policymakers, along with regional governments that also functioned as policy executors as well. According to the three-dimension instruments coding, the authors found an uneven structure of policy instruments at both levels. Furthermore, weak cooperation appears at the state level, while little cooperation is found among regional agencies. Regional governments cite state policies, thus leading to the formation of top-down diffusion, lacking bottom-up diffusion.
Originality/value
The paper contributes to the literature by characterizing policy patterns from both external attributes and semantic contents, thus revealing features of policy distribution, contents and agencies. What is more, this research analyzes Chinese AI policies from a nationwide perspective, which contributes to clarifying the overall status and multi-level relationships of policies. The findings also benefit the coordinated development of governments during further policymaking processes.
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