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The purpose of this paper is to establish a group of grey prediction models and relative degree model to study the characteristics and trend of the logistics industry development in Henan province scientifically. The study results can provide references for the development policy of the logistics industry in Henan province.

The paper constructs grey prediction models and grey buffer operator models which are related to the distribution of logistics industry in Henan province, and selects prediction models by comparing model accuracy, and use them to forecast the development trend of logistics industry in future ten years of Henan province. Using the grey relative models, the paper analyses development dynamic and prospect which support the development of logistics industry, and provide some references for transferring the pattern of economic growth of Henan province, forming new economic growth point and formulating relevant policies. High prediction accuracy models are selected to forecast the future development trend of logistics industry in the next ten years.

Results show that the modern logistics industry in Henan province has been a steady growth in overall, the main growth points of the logistics industry development in Henan province are roadway miles (km), roadway (100 million tonnes/km), freight turnover (100 million tonnes/km) and waterway (100 million tonnes), the growth points for the future development of logistics industry in Henan province are the roadway freight volume, roadway passenger volume and waterway freight volume.

Regional economic competition has become an important index for measuring a country's economic development level. Logistics industry plays an important role in the regional economic development, such as promoting coordinated development of regional economy and upgrading industrial optimization, and playing a major role in industrial transfer. Hence, logistics industry, which is urgently needed to solve by the government, has become important forces for promoting the growth of economy and a basic pillar industries of regional economy.

The paper presents the systematic results of development prediction of modern logistics industry in Henan province and its dynamic analysis by using grey systems theory, not only to predict the trend of the development of the logistics industry, also to analyse the future development of logistics industry in the leading power factors.

The purpose of this paper is to investigate the current situation of China's local valve industry, the maturity of intelligent manufacturing and the way to promote intellectual development.

Firstly, a macro analysis of the valve market environment from the domestic and international perspective was conducted. Secondly, online surveys and in-depth interviews were administered to understand the current status of IM development and future development goals. Finally, case studies were conducted to demonstrate whether the hypothesis of the development approach is feasible.

This study finds that the overall maturity level of the local valve industry is still in the planning stage since the local valve industry lacks concentration and is relatively scattered. In addition, the feasible development approach is dependent on smart devices to improve production efficiency, ensure quality management and effectively control costs.

The research is conducted and focused on the Yangtze River Delta region instead of the whole country, and the size of the sample is small. Therefore, there may be some characteristics omitted in the analysis.

Manufacturers can upgrade to smart manufacturing through intelligent software platforms in order to complete an automatic interaction of data and devices. In addition, manufacturers should complete cross-regional collaborative development through the industrial Internet of things.

There is little or none of research work completed for the development strategy of the valve industry internationally. Therefore, research findings of this area can provide a fundamental understanding of China's local valve industry and contribute to the existing knowledge.

With the advance of the Silk Road Initiative proposed by China, it has been a focus of China government to develop strategic emerging industries. The development of strategic emerging industries needs the support of competitive intelligence on many aspects such as strategical planning, policy making, industrial structure adjustment, and technology innovation. However, so far there are few studies toward the competitive intelligence systems for strategic emerging industries. In this article, we focus on a number of issues related to the competitive intelligence for strategic emerging industries in China. First, we conduct a strengths, weaknesses, opportunities, and threats analysis on the situations of strategic emerging industries in China, based on which the necessity of building a competitive intelligence (CI) service system for strategic emerging industries is discussed. Next, the authors present a framework of a CI service system for strategic emerging industries in China. The principles, components, working process, and product forms are deeply described. The CI service system proposed in this article consists of a cooperation network platform, three layered organizations, and three systems, which integrates organizations, information, people, network, and service platforms into an ecosystem to offer competitive intelligence supports for government, industry, and enterprises. Finally, the authors discuss a case study of the proposed CI service system for the new energy automobile industry.

The construction industry accounts for a large proportion of the economy of developing countries, but the connotation and influencing factors of high-quality development (HQD) are still unclear. This study aims to gain a more comprehensive insight into the current development status of the regional construction industry under China's HQD orientation and the obstructive factors affecting its development and to provide informative suggestions for its HQD prospects.

In this study, the construction industry of 16 cities in the Chengdu-Chongqing economic circle (CCEC), a new region in southwest China, was used as the research object to collect data from the 2006–2019 yearbooks, construct an evaluation index system for HQD of the construction industry, derive the development level of the construction industry using the entropy value method and spatial autocorrelation method and then apply the barrier Diagnostic model was used to compare and analyze the impact level of each index.

In terms of the time dimension, the development of the construction industry in CCEC is characterized by “high in the twin core and low in the surrounding area”, with unbalanced and insufficient development; in terms of spatial correlation, some factors have positive aggregation in spatial distribution, but the peripheral linkage decreases; through barrier analysis, the impact of different barrier factors is different.

This paper will help governments and enterprises in developing countries to make urban planning and management policies to fundamentally improve the development of the construction industry in underdeveloped regions.

The digital economy has become a key force supporting the high-quality development of tourism. This paper discusses the coupling coordination relationship and spatiotemporal evolution path of digital economy and tourism in China's provinces.

This paper uses the entropy method to measure the development level of digital economy and tourism, and establishes coupling coordination model and spatial autocorrelation model to study the interaction between the two industries.

Results show that the development levels of the two industries are rising, which spatially show a progressively decreasing pattern of east-middle-northeast-west. The coupling coordination degrees of the two industries have increased steadily, but the overall level is still near maladjusted. Spatially, the positive correlation is increasing, but the incongruity of spatial agglomeration is still significant. The coupling coordination evolution path in the provinces shows differentiated characteristics. The migration path is mainly concentrated in Zones I and II. The eastern region has an obvious trend of extending to Zone III, where the tourism industry was the most affected by the pandemic.

The study helps clarify the industrial coupling and coordination relationship in various regions and formulate regional tourism digital transformation strategies to promote the high-quality development of China's tourism industry.

This paper enriches the research on the relationship between digital economy and tourism from the perspective of industrial integration. The development commonality of China's tourism digital transformation summarized provides theoretical reference and demonstration for the coordinated development of China's tourism.

This study aims to elucidate the quantitative and qualitative differences in employment development between German districts. Building on ideas from competitive development and resource-based theory, the paper particularly seeks to explain enduring East-West differences between rural regions by two different forms of competitive advantage: cost leadership and quality differentiation.

This study follows a two-step empirical approach: First, an extended shift-share regression is conducted to analyze employment development in Western and Eastern German districts between 2007 and 2016. Second, the competitive share effect and other individual terms of the shift-share model are further examined in additional regressions using regional economic characteristics as exogenous variables.

The findings suggest that the above-average employment growth of the rural districts in the West is owed to the successful exploitation of experience in manufacturing that has been gathered by firms in the past 100 years or so. While their strategy is largely based on advanced and specialized resources and an innovation-driven differentiation strategy, the relatively weak employment development of Eastern rural districts might be explained by a lack of comparable long-term experiences and the related need to focus on the exploitation of basic and general resources and, accordingly, on the efficiency-based strategy of cost leadership.

This study offers an in-depth empirical analysis of how the competitive share effect, i.e. region-specific resources beyond industry structure, contributes to regional employment development. The analysis reveals that quantitative differences in rural employment development are closely related to qualitatively different levels of input factors and different regimes of competitiveness.

The purpose of this study is to investigate the challenges and potential improvement mechanisms for the development of technology and innovation in the Ethiopian construction industry.

In this study both quantitative and qualitative research approaches were adopted. While a structured questionnaire was used for the quantitative data collection, semi-structured interview was used for qualitative data collection. In analyzing the quantitative data, mean score was used to rank the variables and factor analysis was conducted to identify the underlying dimensions of the research constructs. The qualitative data was analyzed thematically focusing on specific objectives of the study; the challenges and improvement mechanisms of technology and innovation development.

The findings indicate that the major challenges are nature of the industry and lack of awareness, weak capacity of companies and the regulatory instruments, inadequate tender duration and poor monitoring and controlling practice. The suggested improvement mechanisms are effective coordination of the process and awareness creation, promoting technology and innovation in the procurement process and technology and innovation consideration in construction project registration.

Effectiveness of construction industry improvement programmes is affected by inappropriateness of the adopted implementation mechanisms. Understanding the operating environment; the enablers and potential barriers, is important for the success of any envisioned improvement programme. The improvement framework proposed by this study indicates the potential intervention areas and improvement mechanisms to effectively induce and enhance technology and innovation development in the construction industry. Major pillars of the improvement framework are improving regulatory framework, raising awareness and stakeholder engagement and continual monitoring and controlling of the practice.

The purpose of this paper is to elucidate the dynamic interactions and co‐evolution of institutions with the technology and organization fields in emerging industry development. Insights and inspirations from comparison of the triangle relationship among government, market and local community in different institutional contexts could contribute to possible institutional innovation in the context of large‐scale institutional transition. In this way, this paper is expected to offer insights to the development of emerging industries in China.

The paper reviews the focal literature focusing on institutional change and the co‐evolution of institution, industry and technology. A multi‐level conceptual framework is put forward to explain the mechanism for the co‐evolution of technology, organization and institution. A multi‐case comparison method was applied to compare and disclose the process of co‐evolution of institutions, and the technology and organizational fields, as well as varied paths of industry development in different institutional contexts.

Emerging industry development in China is still presenting the character of path dependence to a great extent under traditional institutional arrangement, while the power and possible contribution from broader actors in the local community have been ignored. Driving force for a more innovative institutional transition towards emerging industry development should consider decentralized institutional arrangement and actions at local community instead of “command and control” from central planning.

First, the comparison of wind energy industry development in three countries creates possibilities for further analysis and reference for China's emerging industry. Second, the illustration of the triangle relationship among government, market and local community in different countries helps policy makers in China reconsider and redesign an effective institutional framework for balancing the powers among indigenous community, local government and market. Institutional alignment should be listed as an important consideration during the process of the policy design of such an effective institutional framework.

The paper presents a model to understand the dynamic co‐evolution of the institution, technology and organizational fields. It confirms the role of institution in promoting emerging industry development. Particularly, it offers inspirations for the development of emerging industries in nations facing large‐scale institutional transition.

The Chinese government has increasingly turned to industry policy as a means of promoting rural development. These industry policies have not necessarily led to an improvement in rural incomes nor to the achievement of other social and environmental goals. This paper examines ways of designing these policies to achieve better rural development outcomes.

The approach adopts a detailed micro‐level analysis of industry policy through the window of the cattle and beef industries. Intensive fieldwork and interviews are conducted with all segments of and participants in the industry in all major beef production and consumption regions. A series of normative analyses examines issues of integration, scale of development, regionalism and specialisation.

Industry policy is a powerful mechanism by which to influence regional and rural development. Improving development outcomes requires that central and local government goals converge and that regions in inland China are well integrated with other regions and sectors of the economy. Large‐scale development projects must be carefully designed to avoid displacing individual households from industry development.

By crossing institutional, geographic and industry segment lines in a comprehensive manner, the research will aid Chinese decision makers concerned with rural development in the design of their industry development policies.

A series of environmental pollution issues and economic improvement go hand in hand. Since financial listed companies contribute significantly to the national economic development, China has been paying increasing attention to the development of the financial industry. The purpose of this paper is to explore the relationship among the development level of the financial industry, over-investment of the listed companies and environmental pollution through a macro-level and micro-level mechanism.

In this study, we adopt the 2011–2017 panel data of listed companies in the manufacturing industry to study the impacts of the financial industry on environmental pollution. Meanwhile, the paper uses a mediator model, and over-investment is introduced to the econometric model as a mediator to explore whether the development of the financial industry can affect the environmental pollution through over-investment.

A U-shaped relationship between financial industry development and environmental pollution was observed through a macro-perspective; additionally, over-investment of the listed companies significantly increased environmental pollution, along with a significant mediator effect of over-investment. A significant positive correlation was observed between financial industry development and environmental pollution in the East region of China, while the correlation was negative in the Central and West regions. The mitigation effect of financial industry development on environmental pollution was more significant in the low-end manufacturing industry, compared with basic and high-end manufacturing industries.

Strengthening the incentives and supervision toward company managers, reducing over-investment behaviors, encouraging suitable financial industry development to reduce financial risks, improving environmental conservation laws and regulations, and implementing stringent penalty mechanisms for environmental conservation are necessary.