Based on the panel data of 11 regions in the Yangtze River Economic Belt from 1998 to 2016, we tested and analyzed the effects of high-tech industrial expansion on green development. For these regions in the Yangtze River Economic Belt, we wanted to investigate the potential linear relationship between the scale of high-tech industry and green development or the possible threshold effect. We wanted to determine if this relationship is different in various regions of the Yangtze River Economic Belt. According to the empirical test, we found that: (1) for the entire Yangtze River Economic Belt region, the influence of high-tech industrial scale on green development doubled the threshold effect, and a marginal efficiency diminishing effect existed with the further increase in scale; (2) due to the differences among the regions, the threshold effect was different in different regions, with a double threshold effect in the lower reaches, a single threshold effect in the middle reaches, and no threshold effect in the upper reaches; and (3) regarding the high-tech industrial scale, the downstream areas were too large to weaken its promoting effect on green development. In the middle reaches, the positive impact on green development was still increasing, and the high-tech industrial scale should be further expanded. However, in the upstream areas, high-tech industrial scales did not reach the threshold value and the relationship between the high-tech industrial scale and green development was linear. Therefore, local high-tech industries should be cultivated and developed.

Development is the eternal theme of the times. However, the transformation of the development mode is imminent, and we should abandon the extensive economic development mode and turn to the efficient development of an intensive mode. The high-tech industry will be the decisive force in future industrial development. The agglomeration of the industry will help form economies of scale, thereby improving the effective allocation of resources and promoting productivity. The increase in green economy efficiency is a key factor in achieving green development and an important indicator of achieving the coordinated development of economic development and environmental protection. Therefore, in this study, we try to improve the efficiency of the green economy through industrial agglomeration to achieve green development. In order to solve this problem, we took the Yangtze River Economic Belt as the research object, used Super Slacks-based Measure (SBM) data envelopment analysis (DEA) and general algebraic modeling system (GAMS) to study the green economy efficiency, and then used the system generalized moment method (SGMM) to study the impact of high-tech industry agglomeration on green economy efficiency. According to the empirical test, we found that (1) the green economy efficiency of the Yangtze River Economic Belt shows a volatile upward trend, (2) the green economy efficiency of the Yangtze River Economic Belt differs with time and by region, (3) the agglomeration of the high-tech industry has a lagging effect on the improvement of green economy efficiency, and (4) the regression coefficients of economic development and foreign direct investment are positive and those of environmental regulation and urbanization are negative. Finally, in this paper, we provide corresponding policy recommendations to promote the agglomeration of high-tech industries, thereby improving the efficiency of the green economy.

As the pillar industry of China’s national economy, the electronic information industry plays an important role in social development and has increasingly become an important indicator of international competitiveness in the informatization age. We constructed a fusion evaluation model of the electronic information industry and financial industry in China, and used coupling theory to measure the integration degree of the two industries. Next, we empirically measure the impact of the industrial integration level on the competitiveness of the electronic information industry. According to the empirical test, we found that (1) the coupling degree ranged from 0.9 to 1 with minimal changes and that a strong coupling relationship existed between the electronic information industry and financial industry; (2) the coupling coordination degree ranged between 0.59 and 0.80, with a coordination level ranging from primary to intermediate coordination; and (3) the degree of industrial integration had a lagging positive impact on industrial competitiveness. Based on these results, we proposed policy recommendations to strengthen industrial integration and promote the international competitiveness of China’s electronic information industry for various aspects such as government services, technology upgrades, industry integration, and effective capital entry.

Challenge-oriented organizational citizenship behavior or the organization-improving tasks employees perform beyond their job description is important for high organizational performance, but the organizational factors influencing it are poorly understood. In this study, we explored how inclusive leadership influences employees’ challenge-oriented organizational citizenship behavior in the Chinese context, drawing on data from 558 employees in high-tech industries. Multivariate correlation analysis showed that inclusive leadership promotes employees’ challenge-oriented organizational citizenship behavior and that this influence is partly mediated by work engagement. Further, it showed that organizational innovative atmosphere has a moderating effect on the relationship between inclusive leadership and employees’ challenge-oriented organizational citizenship behavior. In effect, this study expands the range of predictive variables for challenge-oriented organizational citizenship behavior and provides not only theoretical insight but also practical guidance for leaders who seek to motivate this behavior in their employees.

Compared with traditional urbanization, new urbanization is more closely aligned with China’s basic national conditions and reflects the basic goal of sustainable development. As the main method of new urbanization, in situ urbanization can make up for the shortcomings of traditional urbanization. The establishment of national new urbanization pilot areas is an important element of the new urbanization policy. This paper tests the policy effect of the National New-type Urbanization Plan (2014–2020) on in situ urban development through the establishment of pilot areas. We found the following: (1) In the central region, the establishment of new urbanization pilot areas has not played a significant role in promoting the process of in situ urbanization. By dividing the central cities into Yangtze River and non–Yangtze River Economic Belt areas, we also find that the effect of the new urbanization policy is not obvious, for these cities are not located in the Yangtze River Economic Belt. (2) The central cities located in the Yangtze River Economic Belt have seen significant policy effects due to their advantages in transportation, resources, industry, labor, etc. The establishment of new urbanization pilot areas has a significant promoting effect on the process of in situ urbanization.

High-tech industries are characterized by strong technology, low energy consumption, and low pollution. Among these high-tech industries, five sectors (pharmaceutical industry, aerospace industry, electronic and communication equipment industry, computer and office equipment industry, and medical equipment industry) are selected for our study; and R&D investment is an important support for the development of high-tech industries. How do research and development (R&D) investments affect energy consumption in high-tech industries? Are these effects all positive? What are the differences in the impacts for different types of high-tech sectors or in different regions? And why? To analyze these issues, state space mode is an appropriate method which presented a dynamic process, accurately estimating the parameters at each time nod. We used this model to analyze the impact of five high-tech sectors' research and development (R&D) investments on energy consumption in the four regions of China from 1998 to 2016. Some conclusions are drawn from the research: (1) Pharmaceutical industry has a negative influence on energy consumption in all regions. Compared with other types of high-tech industries, the pharmaceutical industry consumes a higher degree of energy. (2) In the east, middle, and northeast of China, a gap remains between scientific research and production due to the lack of high-tech personnel in the aerospace industry, which lead to a weak effects on energy consumption in these regions (3) For the electronic and communication equipment industry and computer and office equipment industry, the continuous inflow of funds and talent has led to greater competition pressure and excess production capacity in some developed areas. This accounts for the fact that the two industries' R&D investment is beneficial to the reduction of energy consumption in the western regions. (4) The densely populated eastern region has a large demand for health services, leading to an increased demand for medical equipment. That is why the R&D of medical equipment industry have significantly reduced the energy consumption in the east regions than in the other regions.

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