Five-Year Plan Period Research Articles

Spatiotemporal interaction characteristics and transition mechanism of tourism environmental efficiency in China

High-quality development is the theme of China’s economic and social development in the new era, and it is also an objective need for tourism development in the 14th Five-Year Plan period. This study presents an investigation of China’s patterns of tourism environmental efficiency from the perspective of spatiotemporal interactions. A nested analytical framework of quantile regression and spatiotemporal leaps was used to explore the driving mechanism patterns of tourism environmental efficiency under different leap types. Based on various spatial analysis methods, we posit that the patterns of tourism environmental efficiency differ through spatial associations, dynamic evolutions, and transition mechanisms. Our results indicate that there is a dynamic convergence trend of the overall differences in tourism environmental efficiency in China from 2000 to 2020 where a significant clustering phenomenon is observed in space and the level of spatial clustering gradually tends to be stable. In terms of local spatial structures and the dependence directions of tourism environmental efficiency, China’s northwest and northeast regions are more volatile, while eastern coastal regions are relatively stable. Spatiotemporal leaps of tourism environmental efficiency show certain transfer inertia with strong spatial dependence or path-locked characteristics, among which most central and western regions always maintain high carbon emission attributes. These regions are the most limited in the synergy of tourism environmental efficiency. The spatiotemporal network patterns of tourism environmental efficiency are mainly based on positive correlations and show strong spatial integration. However, a few neighboring provinces still have a certain degree of spatiotemporal competition. Driving patterns of the spatiotemporal leaps in tourism environmental efficiency among regions differ greatly. The eastern coastal provinces are driven by population-urbanization constraint patterns, and the northwest, southwest, and northeast regions are driven by technology regulation patterns. From the southeast to the northwest, the leap in the environmental efficiency of China's tourism gradually shows a stepwise pattern of "congruent constraint-reverse development-congruent development.” Therefore, the government should not only consider these various driving/constraining factors but also combine different environmentally-efficient tourism clustering types and transition paths to emphasize differentiated environmental tourism measures. This can help avoid the closure of inter-provincial tourism policies through inter-regional synergy.

Equity and prediction of health resource allocation of traditional Chinese medicine in China.

To analyze the equity of health resource allocation of Traditional Chinese Medicine(TCM) and predict its development during the 14th Five-Year Plan period, and to provide a scientific basis for promoting the improvement of TCM service capacity. The Chinese Mainland (excluding Hong Kong, Macao and Taiwan) was divided into the Northeast, Eastern, Central and Western regions, and the number of TCM medical institutions, the number of TCM beds, practitioners (assistants) of TCM and Chinese pharmacists from 2016 to 2020 were selected as evaluation indicators, and the equity of health resource allocation of TCM was evaluated by Concentration index(CI), Theil index(T) and Health resource agglomeration degree (HRAD), and the development of health resource of TCM during the 14th Five-Year Plan period was predicted by grey prediction model GM (1,1). The Concentration index of the number of TCM medical institutions and TCM beds is negative, and the allocation tends to the regions with low economic development level. The Concentration index of practitioners (assistants) of TCM and Chinese pharmacists is positive, and the allocation tends to the regions with higher economic development level. The number of TCM medical institutions, TCM beds, practitioners (assistants) of TCM and Chinese pharmacists' Theil index allocated by geography is larger than that allocated by population, which indicates that the equity of TCM health resources allocated by population is better than that allocated by geography. The number of TCM medical institutions, practitioners (assistants) of TCM and Chinese pharmacists in between regions by population contributed more than 72% to the Theil index, indicating that the inequity mainly comes from between regions. The number of TCM medical institutions, TCM beds, practitioners (assistants) of TCM and Chinese pharmacists in within regions by geography contributed more than 80% to the Theil index, indicating that the inequity mainly comes from within regions. The HRAD in the Eastern and Central regions is greater than 1, indicating that the equity is better by geography. The HRAD in the Western region is less than 1, indicating insufficient equity by geography. The HRAD/PAD of the Central region (except for the number of TCM beds in 2020) is less than 1, indicating that it cannot meet the medical needs of the agglomerated population. The HRAD/PAD of the Western region (excluding for the Chinese pharmacists) is greater than 1, indicating that the equity is better than that of the agglomeration population. The number of TCM medical institutions and TCM beds tends to regions with low economic development levels, while the number of practitioners (assistants) of TCM and Chinese pharmacists tends to regions with high economic development levels. The equity of the allocation of TCM health resources by population is better than that by geography, and the inequity of the allocation by geography mainly comes from within region. The allocation of health resources of TCM in the four regions is different, and there is a contradiction between equity and actual medical needs.

Analysis of PM2.5 Synergistic Governance Path from a Socio-Economic Perspective: A Case Study of Guangdong Province

Analyzing the influencing factors of PM2.5 concentration, scenario simulations, and countermeasure research to address the problem of PM2.5 pollution in Guangdong Province is of great significance for governments at all levels for formulating relevant policies. In this study, the ChinaHighPM2.5 dataset and economic and social statistics for Guangdong Province from 2010 to 2019 were selected, and a PM2.5 pollution management compliance path formulation method based on the multi-scenario simulation was proposed by combining the differences in city types and PM2.5 concentration prediction. Based on the prediction model of PM2.5 concentration constructed by the Ridge and SVM models and facing the PM2.5 pollution control target in 2025, the urban PM2.5 pollution control scenario considering the characteristics of urban development was constructed. According to the scenario simulation results of the PM2.5 prediction model, the PM2.5 pollution control path suitable for Guangdong Province during the 14th Five-Year Plan period was explored. The coupling coordination model was used to explore the spatial and temporal pattern evolution of PM2.5 pollution collaborative governance in various prefecture-level cities under the standard path, and the policy recommendations for PM2.5 pollution control during the 14th Five-Year Plan period are proposed. The results showed the following: ① in the case of small samples, the model can provide effective simulation predictions for the study of urban pollutant management compliance pathways. ② Under the scenario of PM2.5 management meeting the standard, in 2025, the annual average mass concentration of PM2.5 in all prefecture-level cities in Guangdong Province will be lower than 22 μg/m3, and the annual average concentration of PM2.5 in the whole province will drop from 25.91 μg/m3 to 21.04 μg/m3, which will fulfil the goal of reducing the annual average concentration of PM2.5 in the whole province to below 22 μg/m3, as set out in the 14th Five-Year Plan for the Ecological Environmental Protection of Guangdong Province. ③ Under the path of PM2.5 control and attainment, the regional coordination relationship among prefecture-level cities in Guangdong Province is gradually optimized, the number of intermediate-level coordinated cities will increase, and the overall spatial distribution pattern will be low in the middle and high in the surrounding area. Based on the characteristics of the four city types, it is recommended that a staggered development strategy be implemented to achieve synergy between economic development and environmental quality. Urban type I should focus on restructuring freight transportation to reduce urban pollutant emissions. City type II should focus on urban transportation and greening. For city type III, the focus should be on optimizing the industrial structure, adjusting the freight structure, and increasing the greening rate of the city. For city type IV, industrial upgrading, energy efficiency, freight structure, and management of industrial pollutant emissions should be strengthened.

Interpretation of 14th Five-Year Plan for National Eye Health (2021-2025)

Eye health is an essential component of physical and mental health, concerning the whole life cycle and all age groups, which is a major public health and social issue related to people's livelihood. With 2020 being the final year of the 13th Five-Year National Eye Health Plan(2016-2020) and the VISION 2020 initiative, under the support of the Bureau of Medical Administration under the National Health Commission, the White Paper on Eye Health in China was prepared, aiming to comprehensively introduce the achievements of eye health in China, as well as the work experience and challenges in the development of eye health. Under the guidance of the "Healthy China 2030" and with the aim to further promote the high-quality development of eye health during the 14th Five-Year Plan period and further improve people's eye health, the National Health Commission formulated the 14th Five-Year National Eye Health Plan (2021-2025). This paper focuses on the interpretation of the core content of the Plan, aiming to better implement the plan and achieve the goals.

Research on China's renewable energy policies under the dual carbon goals: A political discourse analysis

The development of renewable energy (RE) is an effective solution to address the global greenhouse effect and climate change. China's government has enacted a series of RE policies that play an important role in regulating and developing strategy. The development of national RE cannot be separated from the multidimensional guidance and support of policies, and policy analysis can be one of the important indicators of energy industry trends. However, currently, few studies conducted to research whether these policies are performing their intended functions and roles in driving the energy transition. This study constructed a framework from the dimensions of text content and discourse function analysis and used NVivo12 software to analyze seven important renewable energy policy discourses (2000–2022) enacted by the Chinese government to summarize the word frequency of renewable energy policies and the discourse functions they perform. The study finds that China's renewable energy policies are mainly guided by five-year plans, the types of renewable resources are constantly improved, and the policies themselves play a strong role in promoting the achievement of the dual-carbon goal. Due to the RE policies' lack of top-level design; the future development of implementation policies should fully stimulate the initiative and enthusiasm of the main subjects, such as government, enterprises and the public, and promote synergy and cooperation among subjects. Accelerating the global cooperated low-carbon scientific and technological innovation is an effective means to break through technical constraints. Finally, the paper puts forward suggestions on China's renewable energy policy to implement the dual carbon goals during its 14th Five-Year Plan period.

Measurement and Promotion Strategy of China’s Power System Regulation Capacity

Power system regulation capacity is the key factor affecting the development and consumption of renewable energy. Based on China’s policy to promote the consumption of renewable energy, this paper constructs an evaluation index system of power system regulation capability covering four dimensions: the supply side, grid side, load side, and support system. The entropy method is used to measure the power system regulation capability of 30 provinces during the 13th Five-Year Plan period. The results showed: (1) The national average power system regulation capacity index is 0.18, and only less than one-third of provinces scored higher than the average. (2) The contribution of each dimension is significantly different, and the supply side regulation capability was the highest (0.315). The regulation capability of the eastern region is stronger than that of the central region and the western region. From the perspective of subdivided fields, this study focuses on exploring five areas of power system regulation capacity construction, including electric vehicle energy storage, thermal power flexibility, regional power grid regulation, electric vehicle market, and grid construction, to tap greater development potential.

Historical Trends and Driving Forces of River Water Quality Improvement in the Megacity Shenzhen, China

The water quality of urban rivers in China has undergone significant improvement since the 13th Five-Year Plan period (2016–2020). Among these, urban rivers in Shenzhen are the most representative. Assessing historical trends and analyzing the driving forces of river water quality improvement is of great importance and provides valuable insights. This study selects two typical watersheds, Maozhou River and Longgang River, to explore how water quality trends link with water control projects in Shenzhen from 2003 to 2020. The historical trends were evaluated using a recently developed index called WQI-DET, which considers DO, COD, NH3-N, TP, and anionic surfactants. Results showed that both rivers were seriously polluted before 2010 and gradually improved during the 12th Five-Year Plan period. After 2010, the water quality improved rapidly thanks to the environmental remediation of the mainstream, especially the interception project of Longgang River around 2010, and the Maozhou River interception project in 2015. The rainwater and sewage diversion renovation project mainly contributed to meeting the standards for Class IV water bodies during the 13th Five-Year Plan period. This study reveals the semi-quantitative link between comprehensive water quality improvement and pollution control engineering measures. It is a helpful review for Shenzhen and provides a useful reference for other cities.

Forecasting China's hydropower generation using a novel seasonal optimized multivariate grey model

Global warming and environmental degradation are essential issues that endanger human survival. The conflict between rising carbon emissions and carbon neutrality goals has prompted an urgent need for China's energy sector to step up efforts to develop clean energy generation. As a significant hydropower country, hydropower generation is China's mainstay of clean energy generation. The work contributing to sustainable hydropower development requires reasonable forecasts of clean energy generation. This paper proposes a seasonal optimized multivariate grey model that optimizes background value and supplements dummy variables to explore hidden factors through an optimization algorithm to the related sequences. The novel model improves the fitting and prediction accuracy through the loop supplementation of dummy variables. The model tests the effect of China's hydropower generation prediction and compares results with other methods. The mean absolute percentage error of the model training and test groups is 3.87 % and 0.83 %. Finally, this paper predicts hydropower generation in China from 2022 to 2025 based on the power generation during China's 13th Five-Year Plan Period.

Assessment of Emission Reduction Effect of Major Air Pollution Control Measures on PM2.5 Concentrations During 13th Five-Year Period in Tianjin

The emission reduction effect of major air pollution control measures on PM2.5 concentrations was assessed using air quality simulations based on the calculation data of emission reductions from different air pollution control measures and the high spatiotemporal resolution online monitoring data of PM2.5 during the 13th Five-Year Period in Tianjin. The results showed that the total emission reductions of SO2, NOx, VOCs, and PM2.5 from 2015 to 2020 were 4.77×104, 6.20×104, 5.37×104, and 3.53×104 t, respectively. SO2 emission reduction was mainly due to the prevention of process pollution, loose coal combustion, and thermal power. NOx emission reduction was mainly due to the prevention of process pollution, thermal power, and steel industry. VOCs emission reduction was mainly due to prevention of process pollution. PM2.5 emission reduction was mainly due to the prevention of process pollution, loose coal combustion, and the steel industry. The concentrations, pollution days, and heavy pollution days of PM2.5 decreased significantly from 2015 to 2020 by 31.4%, 51.2%, and 60.0% compared to those in 2015, respectively. The concentrations and pollution days of PM2.5 decreased slowly in the later stage (from 2018 to 2020)as compared with those in the early stage (from 2015 to 2017), and the days of heavy pollution remained for approximately 10 days. The results of air quality simulations showed that meteorological conditions contributed one-third to the reduction in PM2.5 concentrations, and the emission reductions of major air pollution control measures contributed two-thirds to the reduction in PM2.5 concentrations. For all air pollution control measures from 2015 to 2020, PM2.5 concentrations were reduced by the prevention of process pollution, loose coal combustion, the steel industry, and thermal power by 2.66, 2.18, 1.70, and 0.51 μg·m-3, respectively, accounting for 18.3%, 15.0%, 11.7%, and 3.5% of PM2.5 concentration reductions. In order to promote the continuous improvement in PM2.5 concentrations during the 14th Five-Year Plan period, under the total coal consumption control and the goal of "peaking carbon dioxide emissions and achieving carbon neutrality," Tianjin should continue to optimize and adjust the coal structure and further promote the coal consumption to the power industry with an advanced pollution control level. At the same time, it is necessary to further improve the emission performance of industrial sources in the whole process, taking environmental capacity as the constraint; design the technical route for industrial optimization, adjustment, transformation, and upgrading; and optimize the allocation of environmental capacity resources. Additionally, the orderly development model for key industries with limited environmental capacity should be proposed, and clean upgrading, transformation, and green development should be guided for enterprises.

Carbon emissions predicting and decoupling analysis based on the PSO-ELM combined prediction model: evidence from Chongqing Municipality, China.

The "14th Five-Year Plan" period is a crucial phase for China to achieve the goal of carbon peaking and carbon neutrality (referred to as the "double carbon"). Thus, it is very important to analyze the main factors affecting carbon emissions and accurately predict the change of carbon emissions to achieve the goal of double carbon. For the slow data updates and the low accuracy of traditional prediction models about the carbon emissions, the key factors of carbon emissions change selected by gray correlation method and the consumption of coal, oil, and natural gas were input into four single prediction models: gray prediction model GM(1,1), ridge regression, BP neural network, and WOA-BP neural network to obtain the fitted and predicted values of carbon emissions, which serve as input to the particle swarm optimization-extreme learning machine (PSO-ELM) model together. Based on the PSO-ELM combined prediction method above and the scenario prediction indicators constructed according to relevant policy documents of Chongqing Municipality, the carbon emission values of Chongqing Municipality during the 14th Five-Year Plan period are predicted in this paper. The empirical results show that carbon emissions of Chongqing Municipality still maintain an upward trend, but the growth rate slow down compared with 1998 to 2018. In general, the carbon emission and GDP of Chongqing Municipality showed a weak decoupling state during 1998 to 2025. By calculation, the PSO-ELM combined prediction model is superior to the above four single prediction models in carbon emission prediction and has good property by the robust testing. The research results can enrich the combined prediction method about the carbon emissions and provide policy suggestions for Chongqing's low-carbon development during the 14th Five-Year Plan period.

Optimization path of corporate ESG performance and compensation performance management under carbon neutral target

Abstract Under the development of low carbon economy with the goal of “carbon neutrality”, high-emission enterprises are facing more severe pressure of energy saving and emission reduction, and how to build and corporate payroll performance management system becomes the key to corporate carbon compliance. And in the green finance-assisted green low-carbon sustainable development has become the development direction, (Environmental-Social-Governance, ESG) evaluation system has also increasingly highlighted its importance, the ESG evaluation system as the leading investment concept in the international has been the mainstream. This paper analyzes the problems of enterprise compensation management system, constructs an optimization model of enterprise compensation management based on Genetic Algorithm-Back Propagation (GA-BP) neural network, and proposes measures to optimize enterprise compensation in the context of ESG performance, taking into account the current international enterprise economic policy background. The study proposes policy recommendations to promote the implementation of green and sustainable development concepts and policies during the 14th Five-Year Plan period, and effectively addresses the adaptation of ESG and corporate compensation management under the goal of carbon neutrality.

Characteristics and prospect of geothermal industry in China under the “dual carbon” target

Geothermal energy utilization in China had been promoted actively during the 13th Five-Year Plan period (2016–2020), with resultant achievements showing unique Chinese characteristics. Buildings (measured by areas) heated/cooled by intermediate-to-deep geothermal energy increased more rapidly than those by shallow geothermal energy. Geothermal power generation was restricted by the distribution of the resource and the sufficiency of local power supply. With the proposition of “dual carbon goal” by the central government of China and the coming era of great development of renewable energy, geothermal energy will be provided more development opportunities in room heating/cooling and power generation in the country ever than before. However, tackling technology bottlenecks and introduction of appropriate policy support are still urgently needed for nurturing a healthy environment for geothermal industry. Analysis suggests that a near-to medium-term development of geothermal energy shall be focused on a comprehensive and efficient utilization both through heating/cooling and power generation. Room heating/cooling by intermediate-to-deep and shallow geothermal energy shall be promoted nationwide according to local resource endowment and economic conditions. Geothermal power generation in Yunnan and Tibet shall be pushed forward in an orderly way. For medium- and long-term development, focus shall be put on power generation by using low to medium temperature geothermal energy and hot dry rocks. The "hot spring +" model shall be adapted in steps on a regular basis. To achieve these, measures including attaching importance to tackling key technologies, promoting standards for geothermal energy development and utilization, strengthening geothermal energy exploration and evaluation, and seeking for necessary policy support shall be taken.

Big data on the prevalence of injury deaths among 187 488 elderly Chinese in the past 20 years (2000–2020): a systematic review and meta-analysis

BackgroundThis study systematically reviewed injury death and causes in the elderly population in China from 2000 to 2020, to prevent or reduce the occurrence of injuries and death.MethodsThe CNKI, VIP, Wan Fang, MEDLINE, Embase, SinoMed, and Web of Science databases were searched to collect epidemiological characteristics of injury death among elderly over 60 years old in China from January 2000 to December 2020. Random effects meta-analysis was performed to pool injury mortality rate and identify publication bias, with study quality assessed using the AHRQ risk of bias tool.Results(1) A total of 41 studies with 187 488 subjects were included, covering 125 million elderly. The pooled injury mortality rate was 135.58/105 [95%CI: (113.36 to 162.14)/105], ranking second in the total death cause of the elderly. (2)Subgroup analysis showed that male injury death (146.00/105) was significantly higher than that of females (127.90/105), and overall injury mortality increased exponentially with age (R2 = 0.957), especially in those over 80 years old; the spatial distribution shows that the injury death rate in the central region is higher than that in the east and west and that in the countryside is higher than that in the city; the distribution of death time shows that after entering an aging society (2000–2020) is significantly higher than before (1990–2000). (3) There are more than 12 types of injury death, and the top three are falling, traffic accidents, and suicide.ConclusionsChina's elderly injury death rate is at a high level in the world, with more males than females, especially after the age of 80. There are regional differences. The main types of injury death are falling, traffic, and suicide. During the 14th Five-Year Plan period, for accidental injuries and death, a rectification list for aging and barrier-free environments was issued.PROSPERO RegistrationThe systematic review was registered in PROSPERO under protocol number CRD42022359992.

Research on Beijing Manufacturing Green-Oriented Transition Path under “Double Carbon” Goal-Based on the GML-SD Model

Accelerating the “double carbon” transformation of the manufacturing industry is the key to achieving the strategic goal of “double carbon” in China, among which the low-carbon development of the Beijing manufacturing industry is the top priority. To achieve high-quality development of the manufacturing industry in Beijing, the main task is to reduce carbon emissions and improve efficiency. Therefore, on the basis of the Global Malmquist–Luenberger (GML) index and the system dynamics (SD) method, this study analyzes the green total-factor energy efficiency trends of 25 manufacturing sub-sectors in Beijing from 2006 to 2020 and incorporates the GML index as a key variable into the construction of the SD model. It then explores the path optimization of Beijing’s manufacturing low-carbon development in the 14th Five-Year Plan period via scenario simulation and offers policy recommendations for the green-oriented transition of Beijing’s manufacturing industry. The study finds that Beijing’s manufacturing industry needs to prioritize energy structure optimization and efficient energy utilization and give full play to the city’s advantages in technological innovation and investment while supporting high-end scientific research and innovation projects to confirm the capital city’s strategic position.

China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan

As the world’s largest energy consumer, China is facing multiple pressures to conserve energy, mitigate pollution and reduce carbon emissions. An objective and scientific assessment of green total factor energy efficiency (GTFEE) is an important prerequisite for achieving energy conservation, emission reduction and low carbon development. In this research, a non-radial data envelopment analysis (DEA) is conducted to assess the GTFEE in China, while the issue of climate and air pollution from energy use is considered in the assessment system. We use different indicators to refer to air pollutants, which provides a reference for related research in indicator selection. The results show that different indicators have different inefficiency values, but changes in the indicators have a minimal effect on the inefficiency values of the other constant indicators. We also assess the GTFEE for the last three five-year plan periods to inform future policy development. The results show that China’s average annual GTFEE exhibits a unique trend in each five-year plan period, with an overall “v” shaped trend. The annual average GTFEE of different regions also varies. The other changes in the rankings of the provinces are mainly concentrated in the 11th to 12th Five-Year Plan period.

Research on the New Path of High-quality Development of General Aviation Industry under the New Development Pattern of "Double Circulation"

The paper reviews the achievements of the development of general aviation industry in the 13th Five-Year Plan period. With the supply-side structural reform as the main line, the reconstruction and improvement of navigation laws and regulations as the key point, the streamline administration, delegate power, strengthen regulation and improve services reform as the focal point, the reform of the navigation supervision mode and the strengthening of supervision and supervision as the starting point, the general aviation industry ecosystem has begun to take shape. This paper analyzes the shortcomings of the development of general aviation industry at present, and finally puts forward the path of high-quality development of general aviation industry based on the double-cycle theory.

Research on the Competitive Strategy of Cement Industry in the Period of "14th Five-Year Plan"

China's economic and social development made brilliant achievements in the 13th Five-Year Plan period. During the "14th Five-Year Plan" period, the cement industry is faced with the new topic of "comprehensively deepening reform". At the same time, with the rapid development of digital economy, enterprises should develop appropriate competitive strategies in order to enhance their competitive advantages and obtain sustainable development. This paper adopts Porter's five forces model to discuss the typical enterprise in cement industry, namely Huaxin Cement Co., LTD., analyzes the competitive environment of the company, and then puts forward certain conclusions, in order to provide some reference suggestions for the realization of high-quality development of the industry.

Analysis of the circular economy efficiency of China's industrial wastewater and solid waste - based on a comparison before and after the 13th Five-Year Plan

The circular economy has been incorporated into China's Five-Year Plan as an important policy tool for sustainable development with the aim of resolving the conflicts among economic growth, energy shortages, and environmental pollution. This research introduces industrial waste emission and recycling indicators into the window two-stage DDF recycle model, explores industrial circular economy efficiency in 30 provinces of China from 2011 to 2019 in the two stages of production and recycle, and focuses on efficiency improvement and stability during the 13th Five-Year Plan period. The results show the following. (1) During the study period, especially during the 13th Five-Year Plan, the circular economy efficiency in most provinces is positively improved, and its improvement is more significant in the central and western provinces. (2) Production stage efficiency is higher than recycle stage efficiency. Whether measured in the overall process, the production stage, or the recycle stage. In mean efficiency, the east is better than the central, and the west is the worst. (3) In terms of efficiency stability during the policy period, the central is the most stable, the east is the second most stable, and the west is the least stable. Shanghai and Tianjin present high efficiency and high stability; Zhejiang, Anhui, and Qinghai present high efficiency, but low stability; and Ningxia, Yunnan, and Xinjiang perform poorly in terms of efficiency values and stability. (4) Each province could adapt to its own situation, accelerate the adjustment of the industrial structure, optimize the energy consumption structure, and improve the overall resource utilization efficiency and recycling efficiency. The government could tilt the resource layout towards provinces with development difficulties, and meanwhile promote efficient development of recycling policies with dividends that address regional imbalances.

Practice and Prospect of Water Right Reform in Inner Mongolia

The Inner Mongolia has the courage to innovate in order to solve the imbalance and insufficiency of water resources in supporting and ensuring the development of water resources, sticking to the advanced concepts of supply-side structural reform, giving priority to water saving and giving full play to the role of market mechanism in water resources allocation, a new way to break the bottleneck restriction of water resources was explored. This paper combs the practice of water right reform in Inner Mongolia, analyzes the characteristics and effects of water right reform in Inner Mongolia, and puts forward the key direction of water right market construction in Inner Mongolia during the 14th five-year plan period.

Characteristics of the knowledge graph of scientific and technological innovation in Gansu Province.

The knowledge graph based on research papers can accurately identify and present the latest developments in scientific and technological (S&T) innovation and is of great significance for supporting strategic decision-making relating to S&T innovation in undeveloped areas. Based on the international research papers produced in Gansu Province during the 13th Five-Year Plan period (2016-2020), five metrics, including the number and characteristics of papers, co-authors, main publications and their fields, major supporting institutions, and main research areas, are established herein. The results indicate that: (i) the total of 29,951 papers were published, which is about 2.89 times that in 2010-2015; (ii) Gansu Province collaborated with 149 countries/regions globally; (iii) the top 5 journals in terms of the number of papers were Medicine, Scientific Reports, RSC Advances, Science of the Total Environment, and Physical Reviews D; (iv) the funding sources were mainly from the national level; and (5) the top 5 research areas were chemistry, engineering, physics, material science, environmental science, and ecology, which accounted for 64.7% of all papers. Finally, the present study puts forward some recommendations for the decision-making process in the strategic layout of S&T innovation in Gansu Province.