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Despite the critical role of the policy environment in facilitating the advancement of building information modeling (BIM) as a systemic innovation to reshape traditional facility design, construction and operation processes, scant scholarly attention has been paid to systematically investigating how and why complex BIM policies are concretely and gradually implemented in different regional contexts from a dynamic policy diffusion perspective. This study aims to empirically investigate how different types of BIM policy instruments are dynamically implemented in heterogeneous regions over time and how the diffusion of BIM policies across different regions is comprehensively impacted by both internal efficiency needs and external legitimacy pressures.

This study employed a positivist research paradigm in which BIM policy data from 182 prefecture-level and above cities in China during 2011–2022 were analyzed with quantitative approaches for theory verification. Based on the content analysis of the evolutionary characteristics of the adopted BIM policy instruments in heterogeneous regions over time, the event history analysis (EHA) method was then used to further examine the mechanisms underlying the diffusion of BIM policies across different regions.

The content analysis results show that while environmental instruments (such as technological integration and goal planning) are the primary policy instruments currently adopted in China, recent years have also witnessed increasing adoptions of supply-side instruments (such as fiscal support and information support) and demand-side instruments (such as demonstration projects and tax incentives). After controlling for the impacts of regional fiscal and technical resources, the EHA results illustrate that BIM policy adoption positively relates to regional construction industry scale but negatively relates to regional industry productivity and that compared with public pressures from industry participants, vertical pressures from the central government and horizontal pressures from neighboring regions are more substantial drivers for policy adoption.

As an exploratory effort of using a dynamic policy diffusion perspective to systematically investigate how BIM policies are adopted in heterogeneous regional contexts to facilitate BIM advancement, this study not only characterizes the complexity and dynamics of BIM policies but also provides deepened understandings of the mechanisms underlying policy adoption in the conservative construction industry. The findings hold implications for how multifarious policy instruments can be more effectively and dynamically adopted to facilitate the advancement of BIM and related technologies as innovative solutions in the construction domain.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This paper aims to provide a comprehensive view of the different competition-based approaches that policymakers can exploit to foster external knowledge search and their positioning among innovation policy measures. A growing number of companies have implemented initiatives to access external knowledge to increase their innovativeness, consistently with the open innovation paradigm. Competition-based approaches have received increasing attention by the private sector as a way to access external knowledge. However, despite their potential role as innovation policy measures, a limited attention has been devoted so far to investigate them from the policymakers’ perspective.

To this aim, a two-stage empirical analysis has been carried out to develop a taxonomy of competition-based approaches. The first stage leveraged a multiple case study methodology including a sample of 20 competition-based approaches, while the second one leveraged interviews with Italian and European key informants.

This paper proposes a novel taxonomy including eight competition-based approaches, which differ among each other in terms of policy strategy, scope breadth and output required. Moreover, this paper enriches a well-established taxonomy of innovation policy instruments with the identified competition-based approaches.

This study contributes to the current debate on innovation policy by providing a taxonomy that includes eight competition-based approaches that can be exploited by policymakers to foster external knowledge search as well as their positioning among the innovation policy instruments. The taxonomy will hopefully support policymakers in identifying of the most suitable instruments in the light of their policy strategy and objectives.

The aim of this article is to investigate how the use of financial instruments influences the development of Regional Development Funds (RFR) in Poland and to assess the maturity and coherence of the regional development financing system in this country.

The methodology is based on the multilevel governance literature and on data collected during 26 in-depth interviews in regional, national and international institutions.

The authors demonstrate that the use of financial instruments stimulates new kinds of cooperation between several institutions and contributes to the establishment of RFR. The authors also show that the Polish regional financing system is still developing and formulate recommendations about necessary improvements.

The main contribution of this article, in addition to taking up a new, relevant topic for the regional development policy in countries benefiting from European Union (EU) cohesion policy, is the application of the multilevel governance (MLG) concept to explain the development of the Polish regional development financing system. Moreover, the significant added value of this study comes from the use of data collected during 26 in-depth interviews (IDI) in regional, national and international institutions on the use of repayable instruments in regional development policy.

Business research and development (R&D) is of critical importance for innovation and economic growth. The purpose of this study is to present an application of the analytic hierarchy process (AHP) to select the most appropriate policy measure to support the business expenditure on R&D (BERD).

AHP method adopts a multi-criteria approach that can be used to analyse and prioritize the policy measures based on pairwise comparisons between several attributes that affect the selection of a policy tool. The model formulated in this study is applied to a real case of supporting decision-makers in some high-tech sectors in Iran.

The results highlight the four main financial policy measures implemented in Iran to enhance the BERD; those are, public procurement for R&D, direct subsidies for R&D, grants for R&D and income tax credit for firms have the priority values of 0.280, 0.260, 0.249 and 0.211, respectively.

The findings of this study are based on subjective evaluation of policy measures by experts of designing policy measures. Objective assessment of policy measures is important too because the preferences of policy interventions change during the time. Another significant point is that the priorities of specific policy measures depend on the effectiveness of their implementing arrangement and the previously successful experience of firms in receiving them.

This paper presents an application of the AHP to select the most appropriate policy measure to support the BERD. This method could be used to prioritize the policies and interventions that governments implement to solve different problems, especially at the innovation system level.

The purpose of this paper is to analyse innovation policies in India from 1958 to 2020. A policy tools framework was developed to compare the innovation policies in India. India developed and implemented four innovation policies from 1958 to 2013. The recent policy change was brought in the year 2020 with releasing the draft of the Science, Technology and Innovation Policy (STIP 2020). The authors analysed the recent draft of STIP 2020 with the earlier four innovation policies.

Innovation policies implemented from 1958 to 2013 in India were studied and analysed in the “text as a data approach” and a comparative policy analysis tool was designed for this purpose. The recent draft of STIP 2020 was evaluated and the provisions of the fifth draft of STIP 2020 were compared with the previous four innovation policies' design and formulation. The CPA tool design consists of five broad themes Awareness and capacity building; Finance and infrastructure; Resource management and governance; Outreach and networking; and Policy implementation and evaluation.

Draft STIP 2020 has many features similar to earlier policies. However, policy has focused on bringing in more clarity about national challenges, goals and objectives, yet it needs better implementation to achieve stated outcomes more effectively and efficiently. New initiatives include strengthening the innovation system with open science, improving STI education, expanding the financial landscape, establishing national STI observatory acting as a central repository of all data related to the STI ecosystem and accountable research ecosystem, promoting translational and foundational research of global standards, promoting entrepreneurship, self-reliance, mainstream science communication and public engagement and decentralised institutional mechanisms. Thus, the STIP 2020 is ambitious in its approach to promoting STI in India and needs a supportive mechanism to achieve the stated objectives.

Current comparative policy analysis focused only on identifying similarities and differences among innovation policies implemented in India from 1958 to 2020 and its evolutionary changes in policy and its instruments choice. The recent draft STIP 2020 is not approved and has no update regarding its approval and implementation by the government. The revised and yet to implement STIP 2020 may have variances in the policy instruments. The earlier policies are so broad and without specific problem statements. They were released as statements and resolutions which makes it is challenging to understand the impact of each policy. Similar policy tools in STI 2013 and STIP 2020 were only considered to observe the policy instrument choice. The achievements of the innovation policies implemented before STIP 2020 are not included. Evolutionary changes in the problem statements and policy tools prescribed in innovation policies are studied.

Department of Science and Technology, Government of India, released a draft of STIP in 2020. The draft of STIP was evaluated with previous Innovation Policies. To the authors’ understanding, this is the first attempt to evaluate the STIPs of India using the “text as a data” approach. The tool can be validated by using it for CPA of innovation policies of other emerging, developed and least developed economies to understand cross-country variations in policy instrument choice by policymakers.

The purpose of this empirical case study is to study and explain the role of public leadership in the expansion of municipal climate action in Canada.

In 2017 and 2018, the authors conducted13 semi-directed interviews with municipal staff and elected officials from three municipalities, a documentary analysis of primary and secondary sources. Interviews and documentation collected were also coded using the software NVIVO 12. The authors compared three municipal case studies: the City of Toronto (Ontario), the City of Guelph (Ontario), and the Town of Bridgewater (Nova Scotia).

The authors found that leadership is a prominent factor explaining the expansion of municipal climate action in Canada. Municipal climate action is initiated and championed by an individual, elected officials or municipal staff, who lead and engage in the development of policy instruments to mitigate and/or adapt to climate change. These leaders facilitate the formulation and implementation of instruments, encourage a paradigm shift within the municipality, overcome structural and behavioural barriers, and foster collaboration around a common vision. Optimal municipal climate leadership occurs when the leadership of elected officials and municipal is congruent, though networks play a significant role by amplifying municipal sustainability leadership. They support staff and elected officials leadership within municipalities, provide more information and funding to grow the capacity of municipalities to develop instruments, to the point that conditions under which municipalities are driving climate action are changing.

This paper hopes to contribute to better understand under what conditions municipalities drive change.

There is an international scholarly recognition that municipalities should be further explored and considered important actors in the Canadian and international climate change governance. Gore (2010) and Robinson and Gore (2015) highlighted that we are yet to understand the extent to which municipalities are involved in climate governance in Canada. This article directly addresses this gap in the current scholarly literature and explores the expansion of climate municipal leadership with the aspects of interviews.

The monetary policy implementation and corporate investment are closely intertwined. The aim of modern monetary policy is to mitigate economic fluctuations and stabilise economic growth. One of the ways of influencing the real economy is influencing the level of investment by enterprises.

This chapter provides evidence on how monetary policy affected corporate investment in Poland between 1Q 2000 and 3Q 2022. We investigate the impact of Polish monetary policy on investment outlays in contexts of high uncertainty.

Using the correlation analysis and the regression model, we show the relation between the monetary policy and the investment outlays of Polish enterprises. We used the least squares method as the most popular in linear model estimation. The evaluation includes model fit, independent variable significance and random component, i.e. constancy of variance, autocorrelation, alignment with normal distribution, along with Fisher–Snedecor test and Breusch–Pagan test.

We find that Polish enterprises are responsive to changes in monetary policy. Hence, the corporate investment level is correlated with the effects of monetary policy (especially with the decision on the central bank's basic interest rate changes). We found evidence that QE policy has a positive impact on Polish investment outlays. The corporate investment in Poland is positively affected by respective monetary policies through Narodowy Bank Polski (NBP) reference rate, inflation, corporate loans, weighted average interest rate on corporate loans.