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The dislocation between regional innovation and economic development directly influences the economic effect of regional innovation. However, no in-depth researches have been made on how to solve this problem. Using data from Henan Province, China, employing geographical detector technology, this paper focuses on testing whether the industry-university-research cooperation can contribute to coordinating the relation between regional innovation and economic development. It is shown that: 1) the industry-university-research cooperation in Henan Province is increasing gradually, and the network presents a core-edge structure, and the coupling degree between regional innovation and economic development is spatially unbalanced, which is similar to the spatial distribution of the intensity of industry-university-research cooperation; 2) as an important approach to effectively connect scientific researches with market demands, the industry-university-research cooperation can help form an interactive, interconnected, coupled and coordinated virtuous relation between regional innovation and economic development. Compared with the cooperation between organizations of the same type and the separate innovation of organizations, the improvement of the industry-university-research cooperation level can better coordinate the relation between regional innovation and economic development; 3) the cooperative innovation model between enterprises and universities can better promote the coupling between regional innovation and economic development, compared with many industry-university-research cooperation models. For underdeveloped areas lacking local knowledge base, industry-university-research cooperation should be considered as a long-term development strategy, especially using the knowledge sources of external universities and scientific research institutions to enhance innovation capability and achieve economic growth. [ABSTRACT FROM AUTHOR]

The sustainable development of China's economy and society has been restricted by energy and environmental issues. With the implementation of the Rise of Central China strategy, Henan, a populous province in China, is facing the threat of an energy shortage as its economy grows steadily and the urbanization process accelerates. Using panel data of 18 cities in Henan Province for the period of 2006–2018, this study investigates the relationship between energy consumption and economic and social development variables based on the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and threshold regression method. The empirical results indicate that economic and social development are significantly positively correlated with total electricity consumption, although there is regional heterogeneity in this relationship. Moreover, there is evidence for a nonlinear relationship between economic and social development and urban energy consumption. These conclusions not only promote the healthy and sustainable economic development of Henan Province but also provide a reference for other provinces and cities that are experiencing rapid development in China. [ABSTRACT FROM AUTHOR]

Benchmark land price balance is an important content of urban benchmark land price work. In this paper, by building different levels of factor layers, the balance of urban residential land in 18 cities of Henan Province is studied, and the 18 cities can be divided into five categories. It is found that the urban land price level is basically consistent with the level of economic development, and some urban land price is lower due to local policy. [ABSTRACT FROM AUTHOR]

Demonstration Policy on rural revitalization aims at driving the economic development of the entire region through the demonstration effect. Using the panel data of 15 rural revitalization demonstration areas in Henan province of China from 2013 to 2020, this study explores the promotion effect of rural revitalization demonstration policies on rural economy through the Differences-in-Differences (DID) method. The results show that the construction of rural revitalization demonstration areas has significantly promoted the growth of local economy. The demonstration effect is the best in the middle of the economic development, followed by the better economic development of the demonstration, and finally the economic backwardness of the demonstration. More specifically, the order of effect from large to small is as follows: counties (second-level administrative regions), poverty-stricken counties (third-level administrative regions), county-level cities (first-level administrative regions). [ABSTRACT FROM AUTHOR]

Higher institutions are prime for cultivating talents to respond to the economic, cultural and social development in local areas. It is of great significance to explore the integration of higher institutions with regional economies. This paper sheds new light on the correlation model between China's regional economy and higher institutions. Herein, many colleges and universities in Henan Province are sampled as study cases, how the higher institutions serve local economy is thoroughly studied. The findings show that the higher education combining regional requirements for economic development can effectively push forward the internal reform of the institutions, enhance the linkage between the institutions and the society, achieve a good effect in discipline construction. It is also suggested that higher institutions should further establish a sound social evaluation system and supervisory authority in future development. [ABSTRACT FROM AUTHOR]

To account for potential asymmetries in the relationship, this study applies new bootstrap symmetric and asymmetric multivariate panel Granger causality test to examine the causal relationship between international tourism receipts (ITRs) and economic growth in China for the period from 1995 to 2019. The result supports evidence for the symmetric causality in Henan, showing significant one-way Granger causality from ITRs to real gross domestic product (RGDP). They also indicate that Hunan has significant one-way Granger causality from RGDP to ITRs. These results denote that the hidden tourism-led growth hypothesis is valid in Heilongjiang, Henan, Hubei and Jiangxi. [ABSTRACT FROM AUTHOR]

The carbon emission from major sectors and key industries is the main source of regional carbon emission, which has caused severe climate anomalies. Decoupling analysis and prediction of carbon emissions are helpful to formulate effective carbon emission reduction targets and coordinate the relationship between carbon emission and economic development. Considering the differences between sectors, this paper selects 12 major industrial carbon emitting sectors in Henan Province as the research object, decomposes the carbon emission driving factors by Logarithmic Mean Divisia Index (LMDI) method, analyzes the decoupling relationship of carbon emission and economic development by Tapio decoupling model, constructs a decoupling effort model by combining the LMDI method and Tapio decoupling model to analyze the influence of each effect on the decoupling relationship, and sets up baseline scenario, low carbon scenario and enhanced low carbon scenario to forecast carbon emission and its decoupling state with economic development by the Long-range Energy Alternatives Planning system (LEAP) model. It is concluded that the restraining effects of energy structure, energy intensity and industrial structure are increasing. The decoupling index between carbon emission and economic development of 12 sectors shows a downward trend. Both energy structure effect and energy intensity effect have made weak decoupling efforts, and the decoupling efforts of industrial structure effect were relatively small, especially in Ferrous metal smelting and calendering industry and other five sectors. In 2035, four sectors will achieve carbon neutralization and the overall decoupling effect of carbon emissions will be obvious. Finally, this paper puts forward some recommendations to promote carbon emission reduction. • Decomposition, decoupling and forecasting analysis of carbon emission. • Combining decomposition and decoupling analysis to construct decoupling effort model. • Differences between sectors of industry are considered. • The decoupling efforts of industrial structure effect were relatively small. • Four industrial sectors will achieve carbon neutralization in 2035. [ABSTRACT FROM AUTHOR]

In order to cope with global warming, China has put forward the "30 · 60" plan. We take Henan Province as an example to explore the accessibility of the plan. Tapio decoupling model is used to discuss the relationship between carbon emissions and economy in Henan Province. The influence factors of carbon emissions in Henan Province were studied by using STIRPAT extended model and ridge regression method, and the carbon emission prediction equation was obtained. On this basis, the standard development scenario, low-carbon development scenario, and high-speed development scenario are set according to the economic development model to analyze and predict the carbon emissions of Henan Province from 2020 to 2040. The results show that energy intensity effect and energy structure effect can promote the optimization of the relationship between economy and carbon emissions in Henan Province. Energy structure and carbon emission intensity have a significant negative impact on carbon emissions, while industrial structure has a significant positive impact on carbon emissions. Henan Province can achieve the "carbon peak" goal by 2030 years under the standard and low-carbon development scenario, but it cannot achieve this goal under the high-speed development scenario. Therefore, in order to achieve the goals of "carbon peaking" and "carbon neutralization" as scheduled, Henan Province must adjust its industrial structure, optimize its energy consumption structure, improve energy efficiency, and reduce energy intensity. [ABSTRACT FROM AUTHOR]

Rapid urban development has led to severe land subsidence in Luoyang, Henan Province in the past few years. The current research on subsidence in urban areas of Luoyang is relatively few and early, and cannot reflect the current status of land subsidence in Luoyang. To grasp the current status of land subsidence in Luoyang and prevent the harm caused by subsidence. We used 57 Sentinel-1A Synthetic Aperture Radar (SAR) images covering Luoyang to obtain the land subsidence from April 2017 to December 2021 by using the small baseline subset interferometric SAR technique. The results show that there are several areas of land subsidence in Luoyang City, and the most serious area of subsidence is located near the highway in Jianxi District, with a cumulative subsidence of 130 mm. Land subsidence exists to varying degrees near transportation facilities (Expressway roads, railway, metro), key urban facilities (airports, high-speed railway stations) and ancient sites in Luoyang. A number of small-scale local subsidence in Luoyang is mainly related to high-intensity urban construction, and urban highway and building construction are the main causes of local land subsidence. Industrial activities are also an important factor in land subsidence in Luoyang. Groundwater and rainfall can impact land subsidence, and large amounts of rainfall during the flood season can replenish groundwater resources and slow down the rate of land subsidence. Loess foundations and large amounts of artificial fill in the city may also induce land subsidence. [ABSTRACT FROM AUTHOR]

Rapid urbanization has led to the increasing scarcity of land resources in China. Exploring the spatial-temporal characteristics and influencing factors of urban land use efficiency (LUE) is of great significance for optimizing the allocation efficiency of land resources and promoting regional sustainable development. In this study, the Super-SBM model was used to calculate the urban LUE of the Yellow River Basin from 2009 to 2018. The regional differences and agglomeration characteristics of LUE in the Yellow River Basin were analyzed. Moreover, a panel regression model was used to analyze the influencing factors of LUE. The results showed that the LUE in the Yellow River Basin experienced a process of fluctuation decline during the study period. The regional difference of LUE in the Yellow River Basin was as follows: upper reaches > middle reaches > lower reaches. The hot and cold spots of LUE were relatively stable in spatial distribution during the study period. The hot spots were mainly distributed in Ordos in the upper reaches and Yulin in the middle reaches, while the cold spots were mainly distributed in Henan Province in the lower reaches. Globalization had a positive impact on LUE in the lower reaches. Marketization had a positive impact on LUE in the whole basin and lower reaches, and a negative impact on LUE in the middle reaches. Decentralization had a positive impact on the LUE of the whole basin and the upper reaches, and a negative impact on the LUE of the lower reaches. [ABSTRACT FROM AUTHOR]

Firstly, this paper analyzed current situations, major practice and existing problems of under-forest economy in Henan Province. Then, it made an in-depth discussion of guiding thought, principle and objectives, construction task and safeguarding measures of the under-forest economic development plan. Besides, it analyzed benefits of the under-forest economic development plan. By 2017, the area of under-forest economic land will reach 1. 60 million hm², create output value of 155.2 billion yuan (accounting for more than 20% of forest output value), provide 3.27 million jobs, and will greatly increase ecological carrying capacity of construction and development of the Central Plains Economic Region (CPER). [ABSTRACT FROM AUTHOR]

By means of investigation and research of the 7 cities of the urban and rural integration in Henan Province, the paper summarizes five aspects of urban and rural integration in Henan Province in common from the social and economic conditions, spatial characteristics, dynamic mechanism, organization form, security measures: higher level of economic development, the selective advantage of location, the power mechanism characteristics of taking the government as the main body from top to bottom, the organization form of strengthen the construction of new rural area and industrial agglomeration area construction, the security measures of innovation mechanism system.The main sticking point to urban and rural integri-tion is the capital input and output, the rural collective economic power shortage problem, the problem of sustainable development of new rural community. A useful reference is playing the active role of rural cadre and masses initiative to promote the integration of urban and rural by injection power source from bottom to top; much channel solves problem of farmer employment according to local conditions; improve rural economy from hematopoietic function rely on industry development. [ABSTRACT FROM AUTHOR]

To analyze the differences in the spatial and temporal distribution patterns of online attention to sudden torrential rain public events in Shanxi and Henan provinces in China, and their influencing factors, the Baidu index search platform was used to obtain the online attention of 31 provinces (autonomous regions and municipalities directly under the central government) nationwide for the 20 July 2021 to 9 August 2021 Henan torrential rain and the 5 October 2021 to 25 October 2021 Shanxi torrential rain. The geographical concentration index, the coefficient of variation, the Moran index, and the Pearson correlation were used to analyse the spatial and temporal distribution characteristics of the online attention of the floods in Shanxi and Henan and their influencing factors. The study shows that: (1) from a temporal perspective, the daily internet attention of both the Shanxi and Henan torrential rain reached its highest value on the third day, showing a sharp rise followed by a sharp fall in an inverted "V" pattern, and compared to the prolonged and continuous torrential rain in Shanxi, the short-lived precipitation and broken ring of the Henan torrential rain were seriously urgent, showing a higher internet attention. For example, the highest daily attention in Shanxi was only 73,643, while the highest daily attention in Henan was 56,054, which is 7.6 times higher than the former. The Geographical Concentration (G) index of internet attention for torrential rain in Shanxi increased from 1.55 to 8.25 within three weeks, with attention shifting from scattered to concentrated, while the G-index for torrential rain in Henan showed an inverted "V" shape; the Coefficient of Variation (CV) index for torrential rain in both provinces showed a downward trend within three weeks. (2) In terms of spatial distribution, the regional distribution of the network concern about the torrential rain in Shanxi and Henan is uneven. The provinces and cities with a higher concern about the torrential rain in Shanxi are mainly some eastern provinces and cities, such as Jiangsu, Beijing, Zhejiang, Fujian, Hainan, etc., who have signed coal protection agreements with Shanxi. The provinces and cities with a higher concern about the torrential rain in Henan are mainly the economically developed coastal provinces or provinces adjacent to Henan, such as Beijing, Zhejiang, Shandong, and Shaanxi, etc. The concern of each city for the torrential rain in the two provinces is in line with the law of distance decay. (3) In terms of influencing factors, the level of regional economic development, demographic factors, and Internet penetration and distance all have a certain influence on the level of attention to sudden torrential rain, and the study found that the level of economic development and demographic factors have the most significant influence on the level of internet attention. [ABSTRACT FROM AUTHOR]

Two catastrophic extreme precipitation events in July 2021 and August 1975 caused tremendous damages and deaths in Henan, one of the most populated provinces in China. Revealing the relationship between large‐scale circulation patterns and precipitation extremes is vital for understanding the physical mechanisms and providing potential value for improving prediction and hence reducing impacts. Here, nine large‐scale circulation patterns are identified for July–August using the self‐organizing map. We find daily precipitation extremes under the fifth pattern (P5), characterized with the strongest easterly wind anomalies in Henan, feature the highest frequency and the largest intensity. Seven out of total 11 days in the two catastrophic extreme precipitation events belong to P5, and the top two maximum hourly precipitation extremes over continental China occurred under P5. The larger intensity of precipitation extremes is attributed to the dynamical contribution, suggesting more‐intense precipitation extremes under P5 are largely dominated by stronger ascending motions. Plain Language Summary: Henan is one of the most populated provinces in China. Two catastrophic extreme precipitation events in July 2021 and August 1975 caused devastating catastrophes, such as flooding and urban waterlogging, which resulted in widespread impacts on agricultural production, human livelihood, and economic development. We used a clustering method called self‐organizing map to link large‐scale circulation patterns with daily precipitation extremes in Henan Province. Our results show that the fifth pattern (P5), associated with the strongest easterly wind anomalies over Henan Province, is most conducive to extreme rainfall. Precipitation extremes under P5 exhibit the highest occurrence frequency and the largest mean intensity. Seven out of total 11 days for the two catastrophic extreme precipitation events belong to P5, while the top two maximum hourly precipitation extremes over continental China occurred under P5. The larger mean intensity of precipitation extremes under P5 is mainly caused by strong ascending motions. This work provides important implications for understanding the physical mechanisms and also providing potential value for the forecasting of precipitation extremes in Henan Province. Key Points: The circulation pattern (P5) most conducive to the occurrence of daily precipitation extremes is identified using self‐organizing mapSeven out of total 11 days in the "21·7" and "75·8" catastrophic extreme precipitation events belong to P5 patternThe dynamical processes, that is, the stronger ascending motions, dominate the more‐intense precipitation extremes in P5 pattern [ABSTRACT FROM AUTHOR]

Low energy utilization is observed in China due to the extensive economic growth mode, which further leads to considerable energy wastes and environmental pollution. The construction industry plays an important role in the national economic development of China and consumes tremendous materials; thus, this industry discharges abundant CO2. The energy consumption growth rate of the construction industry in China is far higher than the national energy consumption growth rate, resulting in the prominent situation of high energy consumption and low yield. A case study based on Henan Province, China, was conducted to further analyze the environmental efficiency of the construction industry. An index system was established by using the Super-slack-based model (Super-SBM). This system chooses the following: labor, energy, capital, and technology of the construction industry as the input variables, economic output as the output variable, and carbon emissions as the unexpected output. This system was also used to investigate the energy efficiency of the construction industry in Henan Province from 2008 to 2019. Results demonstrated that the construction industry in Henan Province has failed to eliminate the extensive development mode thus far. The environmental efficiency of the construction industry presents a fluctuating growth with a mean of 1.048, which generally remains at a relatively low level. The numbers of construction machines and enterprises in the construction industry have redundancy in approximately 50% of the years. Thus, this study can provide some positive references to enrich the evaluation index system and estimation model of energy efficiency of the construction industry, which includes unexpected output. Moreover, the current study can provide a comprehensive understanding of the environmental efficiency of the construction industry in a province in China and realize reasonable allocation of construction industrial resources. [ABSTRACT FROM AUTHOR]

The Belt and Road (abbreviated as B&R) creates opportunities for the economy and trade development and the improvement of national relations of the Belt and Road countries. Development of service trade plays an important role in the Belt and Road. Henan Province takes the opportunity of B&R to develop the international service industry and makes some achievements. In the new era of development, analyzing the trade competitiveness of international service in Henan Province under the background of the Belt and Road is of great significance to help Henan Province recognize its own strengths and weaknesses in service trade development and make targeted improvements. Studies have shown that the share of international market, revealed, advantages of comparative competitiveness trade and service trade openness of service trade in Henan Province under the background of the Belt and Road are constantly improving, but the overall development level is still low and slow development occurs. We utilize the concept of fuzzy embedded along with Analytic Network Process (ANP) which makes it suitable for managing vagueness of the linguistics information of assessment system. Therefore, in order to further improve the international competitiveness of service trade in Henan Province, it is necessary to optimize the international market share, competitiveness, and degree of openness. Specifically, it is necessary to transform and upgrade the traditional service trade industry, continue to expand the breadth and depth of service trade openness, strengthen the talent team building to improve the quality of employees, and promote the brand construction of service industry to enhance the industry's development potential. [ABSTRACT FROM AUTHOR]

Rapid economic growth and urbanization have contributed to increasing concerns around sustainable development in China. Although urban sustainable development is often comprised of environmental, economic, social and governance aspects, most empirical studies on the public perception of sustainability have exclusively focused on the environmental aspect. Using extensive survey data from three representative cities in Henan Province, China, this study is a first endeavor to examine how perceptions of urban sustainability performance and concerns vary by demographic and socio‐economic status of local residents. This study documents that familiarity with sustainable development concepts is positively associated with education, income, party affiliation and personal health of individuals, while negatively correlated with age. In addition, this study has shown that the most severe threats to sustainability as perceived by citizens are air pollution, corruption, income and education inequality, and excessive industrial production. At the same time, economic indicators such as unemployment, poverty and consumerism are considered lesser threats than social inequality or environmental pollution. Furthermore, residents generally view the sustainable development performance of their cities as mediocre. While generally younger residents and residents with higher levels of education tend to be more critical and long‐term residents tend to be more forgiving, results frequently show that concerns and attitudes towards sustainable development by various socio‐demographic groups differ from city to city. This is strong evidence to support independent local policies tailored to the socio‐demographics of each individual city. [ABSTRACT FROM AUTHOR]