An Adaptive Water Resources Management Framework With Combined Policies to Confront Adverse Effects and Risks Due to Population-industry Transformation Into a Floodplain Area

In this study, an adaptive water resource management framework with combined policies (AWFP) is developed for mitigating adverse effects on water resource in a floodplain area due to population-industry transformation in context of coordinative development of urban agglomeration. A location-entropy based PVRA model (LE-PCRA) and coupla-risk analysis (CRA) can be introduced to reflect the adverse effects of industrial information and driven population on water resources; meanwhile risks (including water shortage, soil loss and flood control) and corresponding correlations have been shown in the risk maps. Moreover, an adaptive scenario analysis based stochastic-fuzzy method (ASSF) can be embedded into an AWFP to deal with multiple uncertainties and their interactions due to subjective and artificial factors. The proposed AWFP is applied to a practical case study of Yongding river floodplain region for confronting adverse effects on water resources due to population-industry transformation in the context of coordinative development of Beijing-Tianjin-Hebei urban agglomeration, China. The results were obtained to reflect the negative effects of population-industry transformation and corresponding water allocation patterns in floodplain, which is effective to confront natural and artificial damages (such as water deficit, water and soil loss, and flood damage), risks and function degradation of floodplain contemporarily. Meanwhile, various policy scenarios (such as farmland returning to wetland, improvement of water resource utilization efficiency, water diversion and flood control) can be analyzed to support adjusting current population-economy strategies and water management patterns to accommodate source function of floodplain with a risk-averse and sustainable manner.

Transforming the construction sector: an institutional complexity perspective

Purpose Government initiatives to improve construction have increasingly become more focused on introducing a repertoire of technologies to transform the sector. In the literature on construction industry transformation through policy-backed initiatives, how firms will respond to the demands to adopt and use innovative technologies and approaches is taken for granted, and there is scarcely any attention given to the institutional implications of transformation agenda. The purpose of this paper is to discuss these gaps and offer directions for future research. Design/methodology/approach Following a synthesis of literature on the UK’s industry transformation agenda, the authors use the concepts of institutional logics, arrangements, complexity and strategic responses to suggest seven research questions that are at the nexus of policy-backed transformation and institutional theory. Findings In this paper, the authors argue that increasing demands for the adoption and use of digital technologies, platforms, manufacturing approaches and other “industry-4.0”-related technologies will reconfigure existing logics and arrangements in the construction industry, creating a problem of institutional complexity for general contracting firms in particular. Originality/value The questions are relevant for our understanding of the nature of institutional complexities, change, strategic firm responses, field-level dynamics and implications for the construction industry in relation to the transformation agenda. This paper is positioned to spur future research towards exploring the consequences of industry transformation through the lens of institutional theory.

Cross-industry transformation: Structural modifications and innovative development

Subject. The cross-industry transformation is viewed from perspectives of the cross-industry interaction in industrial complexes and the integration of industrial technologies, which can be used directly in unrelated industries, with the multiplicative effect giving an impetus to S&T development of the nation. Objectives. We identify key aspects and new technological trends in the industry and analyze the innovative activity as a driver of structural changes in the economy. Methods. The study is based on methods of systems, structural-functional, comparative, economic-statistical and comprehensive approaches to analyzing the safe and sustainable operation of industries. Results. The article reviews issues of the integration or intellectual and information technologies into business structures of the industrial production for profit-making and competitive advantages in the market. We determined versatile indicators of the sustainable industrial development as there technological changes induce the large transformation. We display the structure of the industrial sector over time by type of economic activity, analyzing the degree and dynamism of the innovative activity in high-tech, mid-tech and low-tech production. Despite the positive dynamics of the Industrial Production Index, the percentage of the industrial sector in GDP has been shrinking for several years in a row, with the major portion being contributed by the servicing sector. Conclusions and Relevance. The digitalization of the industrial sector is one of the principal trends in the global economic development, with digital cross-industrial technological processes prevailing in all industries, reshaping their structure and bringing innovations and modernization. The use and broad integration of digital technologies gives enterprises a competitive advantage for sustainable development, which is indispensable without additional financial injections into such technologies.

Factors Affecting the Manufacturing Industry Transformation and Upgrading: A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area

This study aims to analyze the development trend of the manufacturing industry transformation and upgrading in the Guangdong–Hong Kong–Macao Greater Bay Area (2008–2018). On the basis of synergetics, the order parameter method of factor analysis is used to study these factors. The results show that: (1) There are five slow variable factors, such as intelligent manufacturing industry, technological innovation, scale agglomeration, market demand, and fixed asset investment, which are important power sources of the transformation and upgrading of the manufacturing industry in Greater Bay Area. The development of these factors is relatively mature, and they cooperate with each other. (2) Similar to a fast variable of manufacturing development ecology, green development is an important coordinating factor in removing bottlenecks. Finally, suggestions for the development of the transformation and upgrading of the manufacturing industry are put forward.