Resource Management In China Research Articles

Sustainable Urban Water Resource Management in China: Challenges and Innovations

Rapid urbanization in China has led to severe challenges in urban water resource management, including water scarcity, pollution, and the impacts of climate change. This study examines innovative technologies such as water recycling, rainwater harvesting, and urban green infrastructure, focusing on their implementation in major cities like Beijing, Shenzhen, and Guangzhou. Through case studies and data analysis, the research evaluates the effectiveness of these solutions in addressing the pressing water management issues. The findings suggest that integrated water management strategies, supported by strong policy frameworks and public involvement, are critical for achieving sustainable urban water systems. The study concludes with recommendations for improving urban resilience to water-related challenges in the face of ongoing climate and demographic pressures.

Set pair analysis and system dynamics coupling approach for structure simulation and variation trend evaluation of water resources spatial equilibrium system

AbstractThe implement of water resources spatial equilibrium (WRSE) schemes is fundamental task of integrated water resources management in China, in which, the evaluation and simulation analysis of WRSE system is of great concern for understanding the overall variation and feedback characteristics of WRSE system. Therefore, we utilized the ordered degree, entropy and connection number coupling model to evaluate the variation of WRSE system, and also employed system dynamics (SD) and scenario simulation integrated method to reveal the feedback characteristics between different equilibrium variables and subsystems, and thus the set pair analysis‐SD based approach for structure simulation and variation trend evaluation of WRSE system was constructed. The application results in Anhui province, China demonstrated that, the overall variation of provincial spatial equilibrium situation of WRSE system presented obvious improving trend, 2009–2019, the index of ordered degree and connection number entropy in Hefei, increased from the minimum of 0.6434 (Grade 3, unequilibrium) to maximum of 0.9985 (Grade 1, equilibrium). Moreover, the future variation of WRSE system will display stable improving trend during 2020 to 2029, in which, annual water resources availability and water resources utilization efficiency will have significant influence on WRSE system. And the research findings can be favorable to formulate water resources development and utilization strategies.

The new region demarcation framework for implementing the joint prevention and control of groundwater pollution: A case study in western of Bohai Bay, China

The joint groundwater pollution prevention and control (GPPC) strategy has been extensively implemented to address the coastal region groundwater pollution challenges in China. However, regional groundwater pollution control and treatment efficiency cannot achieve the expected results due to the lack of regional priority control orders and accurate restoration levels. Thus, this study developed a new region demarcation framework method for delineating GPPC zones, in tandem with a comprehensive pollution index method, the DRASTIC model, source apportionment. To validate the new methodological framework, a case study of groundwater pollution in Qinhuangdao, the western of Bohai Bay, China, was implemented to calculate pollution prevention and control zoning. In total, 340 groundwater samples from shallow aquifers with 9 target pollutants (NO3-, NO2-, NH4+, As, Cd, Cr, Cu, Pb, and Ni) were selected as the dataset for GPPC regionalization. The results showed that GPPC zoning further clarified the direction of groundwater pollution protection and management in Qinhuangdao. Compared to the traditional method, the new GPPC zoning better reflects groundwater mobility characteristics and pollution transport and enrichment patterns in terms of groundwater functional integrity and delineation. This new regional demarcation framework method contributes to providing support for the fine division of groundwater pollution zoning and precise pollution control for groundwater resource management in China.

HUMAN RESOURCE MANAGEMENT IN CHINA UNDER ECONOMIC GLOBALIZATION

Economic globalization is the development characteristic and advantage of modern economy, especially the in-depth development of knowledge economy and people-oriented era, which has become the decisive factor of the world economy in the 21st century. In this context, competition among countries increasingly revolves around the quantity, quality and development level of human resources. This transformation has brought both opportunities and challenges to human resource management (HRM) in China. Economic globalization has prompted China's human resources management concepts to be re-examined and updated, and the field of human resources management has shown a more diversified pattern. The subjects of human resources management are constantly changing, and it is necessary to adjust the human resource’s structure and improve the overall quality of the workforce. While economic globalization has brought opportunities to China, it has also brought tremendous pressure to China's human resources management. Fierce international competition has posed a severe test to human resources and challenged traditional human resource management methods and structures. This article deeply explores the impact of economic globalization on human resource management in China. It analyzes how China's human resources management responds to the emergence of diverse talent market, the growing demand for cross-cultural skills, the fluidity of global talent flows, the need for technology and digital transformation, and the regulation and compliance faced in operations challenge. Globalized environment. By understanding and responding to these changes, China's human resource management can proactively respond to the changing situation and seize the opportunities brought by economic globalization.

The study of human resource management in Chinese SMEs

With the rapid development of China's economy, small and medium-sized enterprises (SMEs) play an important role in promoting national economic growth, creating job opportunities and promoting technological innovation. However, at present, there are many problems in human resource management in China's SMEs, which limit their development potential and competitiveness, such as the lagging management concept, imperfect training mechanism and high employee turnover rate in human resource management. This paper puts forward the corresponding solutions, such as establishing the people-oriented management concept, increasing the training input, optimizing the salary and welfare system and establishing a good promotion mechanism. At the same time, SMEs should adjust and optimize according to their actual conditions to ensure that these strategies can effectively improve the level of human resource management and provide support for the sustainable development of enterprises.

A novel framework for integrative assessment of water balance health in China

Existing studies on water resource issues focus on water scarcity while largely lacking an integrative water balance health assessment and ignoring the combined impacts of water quality, water transfer, and unconventional water resources on water balance. Here, we proposed a novel framework for assessing regional water balance health considering three dimensions of water problems about imbalances: water scarcity, water inequality, and systems incoordination. This paper first quantified the levels of water balance health at multiple geographic and temporal scales in China, and then investigated the critical components and the impacts of improved surface water quality, inter-basin water transfer, and unconventional water use on the local water balance health. Results showed that China was under an unhealthy water balance due to multiple imbalances based on the annual average assessments during 2014–2018. More than 45% of the national population (∼615 million people) was affected by an unhealthy water balance. Hotspots with unhealthy water balance exhibited spatial heterogeneity and temporal variability, with Northern China experiencing unhealthy water balance throughout the year, while Southern China usually faced this issue during the winter. Unhealthy water balance in Northern China was primarily driven by water scarcity, while in the west of the Hu-Huanyong Line, water inequality exacerbated the situation. Southeastern China faced systems incoordination, particularly vulnerable during extreme events, such as severe droughts. More than 400 and 150 million people benefited significantly from improved surface water quality and inter-basin water transfer, respectively, relieving unhealthy water balance. However, the effectiveness of unconventional water use was found to be limited. This study contributed to a better understanding of water balance health and facilitated the development of policies for integrated water resources management in China.

Sustainable resource management in China's energy mining sector: A synthesis of development and conservation in the FinTech era

The optimal exploitation of energy and mineral resources is crucial to the optimal allocation of resources and the sustainable development of Society. Based on the optimal control theory, this paper establishes a dynamic model of inter-period optimal exploitation of mineral resources and examines the impacts of energy resource supply and environmental pollution with the help of a panel data vector autoregressive (PVAR) model under the constraints of environmental regulations and technological advances in each region. These results show that the estimated coefficient for the one-period lag of energy supply is significantly positive at the 1% level, indicating that a positive shock resulting in increased energy supply in the preceding period is associated with a pronounced escalation in environmental pollution. Meanwhile, the estimated coefficient for the one-period lag of environmental pollution is negative at the 1% level. In contrast, the estimated coefficients for the one-period lag of environmental regulation and technological progress are positive. It implies that positive shocks in the intensity of environmental regulation and technological progress in the previous period contribute to a more efficient energy supply. Furthermore, the estimated coefficient for the one-period lag of environmental pollution and energy supply is significantly positive at 1%. It suggests that heightened environmental pollution and energy shortages in the preceding period prompted the government to undertake necessary measures to address these issues. Therefore, establishing a theoretical model that meets the characteristics of China's resources will be conducive to realizing sustainable development of resources and the environment.

Research on the Ideological and Political Education in the Curriculum of Human Resource Management in China

Research on the Ideological and Political Education in the Curriculum of Human Resource Management in China

Optimization Research on Natural Resource Management in China through Multi-Model Comprehensive Evaluation

Optimization Research on Natural Resource Management in China through Multi-Model Comprehensive Evaluation

RESEARCH ON EFFICIENT INDEXING OF LARGE-SCALE GEOSPATIAL DATA BASED ON MULTI-LEVEL GEOGRAPHIC GRID

Abstract. With the implementation of unified natural resource management in China, national geographic conditions monitoring data have been identified as fundamental data for natural resource survey and monitoring. The efficiency of information extraction from massive spatio-temporal data to support natural resource management has emerged as a critical indicator for maximizing the value of geographic conditions monitoring data and enhancing data-driven decision management. Traditional spatial indices are computationally intensive, and when confronted with immense data volume or uneven data scale, issues such as extensive index computations and poor scale adaptability arise, impeding the efficient retrieval of complex geospatial data. In response to the need for efficient indexing of massive geospatial monitoring data at a scale of 100 million, a multi-level geographic spatial index framework based on geographic grids is proposed. Within the geographic conditions spatio-temporal database, a three-level spatial index of "zone-grid-space" is constructed, utilizing massive land cover data for analysis and testing. The results demonstrate that the multi-level spatial index method exhibits excellent scale adaptability, and grid coding dimensionality reduction and numerical operations effectively reduce the computational load of spatial retrievals of complex vector patches. This method significantly improves the retrieval efficiency of large-scale national geographic conditions data, providing an efficient technique for lightweight information extraction of large-scale monitoring geospatial data within spatial computing systems. The method holds reference value for on-demand retrieval, analysis, and decision-making of natural resource spatio-temporal big data.

The impact of oil and natural gas trading and globalization on natural resources management in China

The Pandemic outbreak strike global economy like a hurricane. Every single area was hit by COVID-19 including energy market and sector. This major hit not only affected energy prices, investments and demand-supply but also energy other sectors such as oil and gas. Besides, the consistent increase in population growth and surging global economic activities created a huge demand-supply gap in natural resources. On this backdrop, the present study intends to investigates the impact of oil and natural gas trading and globalization on natural resources management in China in the time span of 1985–2021. The researchers check the linkages among oil and natural gas trading, globalization and natural resources management using the dynamic autoregressive distributed lag (DARDL) approach. The outcomes revealed that oil and natural gas trading, globalization, EG, industrialization and inflation have a positive linkage with natural resources management in China. Based on the results, it is suggested that in order to reap greater benefits from natural resources, practitioners are asked to shed light on the need of globalization and human capital development as this way effective natural resources management can be ensured. The study also implies that oil and gas industry is obliged to follow change before its starts loosing energy market share.

Evaluating green financing mechanisms for natural resource management: Implications for achieving sustainable development goals

China has made noteworthy strides in achieving the Sustainable Development Goals (SDGs), including natural resource management. The country’s economic expansion has put more strain on its natural resources during Covid-19 pandemic, which has contributed to environmental deterioration, the extinction of species, and climate change. Consequently, green finance can create new opportunities for assisting natural resource management practices that support environmental, social, and economic sustainability. In order to realize the SDGs, this study employs a hybrid Fuzzy Multi-Criteria Decision Making (MCDM) approach based on the Analytical Hierarchy Process (AHP) and Visekriterijumska Optimizacija i Kompromisno Resenje (VIKOR) to assess and prioritize important criteria, sub-criteria, and green financing mechanisms for natural resource management in China. Therefore, this study identified six criteria, eighteen sub-criteria, and six green financing strategies for promoting sustainable development and natural resource management methods in China. According to the Fuzzy AHP findings, financial sustainability (0.192), institutional feasibility (0.176), and environmental impact (0.171) are the most crucial criteria. While, the Fuzzy VIKOR findings reveal that carbon markets, green bonds, and green investment funds are the best financial solutions for reaching sustainable development and effective resource management practices in China. This research enables policymakers, investors, and other stakeholders improve sustainable development and natural resource management in China.

Geodiversity and natural resource management: The importance of combustible renewables and waste in China

As an important source of materials for new development, the restoration of our built heritage, energy production, minerals, soils, and so on, geological resources play a crucial role in economic development. This paper examines the impact of geodiversity on natural resource management in China from 1971 to 2019 while using combustible renewables and waste, energy depletion, and CO2 intensity as moderator variables. The results indicate that geodiversity and combustible renewables and wastes increase natural resource management, while energy depletion and CO2 intensity increase natural resource management. Policymakers are suggested to involve the promotion of sustainable practices to ensure that resources are used responsibly, including governments to introduce incentives to encourage farmers to adopt sustainable agricultural practices or can work with companies to promote the responsible use of natural resources. Moreover, regarding the legislative measures, policymakers in China should promote public awareness of the importance of geodiversity and natural resources. This could involve initiatives to promote an understanding of these resources' importance and the potential environmental and social impacts of their misuse. Such initiatives could be supported through investment in education, as well as through the use of public campaigns. Limitations of the study and future directions for research are discussed.

Spatiotemporal variation characteristics analysis of infrastructure iron stock in China based on nighttime light data

Abstract Iron is one of the most important basic materials in infrastructure development, spatial and temporal variation characteristics analysis of infrastructure iron stocks is conducive to revealing its distribution and change patterns from different scales, which can provide a scientific basis for sustainable urban development and iron resource management in China. In this article, we first calculated provincial infrastructure iron stock data from 2000 to 2020. Then, fitting equations between nighttime lighting data and infrastructure iron stock are constructed to simulate the spatial distribution of China’s infrastructure iron stock at 500 m resolution from 2000 to 2020. Finally, the spatial and temporal dynamics of China’s infrastructure iron stock is analyzed from four scales: national, regional, provincial, and urban agglomeration. The results show as follows: (1) China’s infrastructure iron stock grew at an average annual rate of 26.42% from 2000 to 2020, with China’s infrastructure iron stock increasing 6.28 times over the 21 years. Construction facilities are the most important part of the infrastructure iron stock, and its share is still increasing. (2) On a regional scale, the high-growth type of infrastructure iron stock is mainly distributed in the eastern region, while the no-obvious-growth type is mainly distributed in the western region. The high grade of infrastructure iron stock is mainly distributed in the eastern region, while the low grade is mainly distributed in the western region. (3) On a provincial scale, the highest share of no-obvious-growth type of infrastructure iron stock is in Xinjiang. The highest proportion of infrastructure iron stock of high-growth type is in Jiangsu. The highest proportion of low-grade infrastructure iron stock is in Xinjiang. The highest proportion of infrastructure iron stock of high grade is in Beijing. (4) In terms of urban agglomerations, the high-growth type of infrastructure iron stock is mainly located in Shanghai–Nanjing–Hangzhou, while the no-obvious-growth type is mainly located in the Middle south of Liaoning. The high-grade infrastructure iron stock is mainly distributed in Shanghai–Nanjing–Hangzhou, while the low grade is mainly distributed in Sichuan–Chongqing.

Dynamics of Bacterioplankton Communities during Wet and Dry Seasons in the Danjiangkou Reservoir in Hubei, China.

Water quality is directly linked to drinking water safety for millions of people receiving the water. The Danjiangkou Reservoir is the main water source for the Middle Route of the South-to-North Water Diversion Project (MR-SNWDP), located in the vicinity of Henan and Hubei provinces in China. Aquatic microorganisms are key indicators of biologically assessing and monitoring the water quality of the reservoir as they are sensitive to environmental and water quality changes. This study aimed to investigate the spatiotemporal variations in bacterioplankton communities during wet (April) and dry (October) seasons at eight monitoring points in Hanku reservoir and five monitoring points in Danku reservoir. Each time point had three replicates, labeled as wet season Hanku (WH), wet season Danku (WD), dry season Hanku (DH), and dry season Danku (DD) of Danjiangkou Reservoir in 2021. High-throughput sequencing (Illumina PE250) of the 16S rRNA gene was performed, and alpha (ACE and Shannon) and beta (PCoA and NDMS) diversity indices were analyzed. The results showed that the dry season (DH and DD) had more diverse bacterioplankton communities compared to the wet season (WH and WD). Proteobacteria, Actinobacteria, and Firmicutes were the most abundant phyla, and Acinetobacter, Exiguobacterium, and Planomicrobium were abundant in the wet season, while polynucleobacter was abundant in the dry season. The functional prediction of metabolic pathways revealed six major functions including carbohydrate metabolism, membrane transport, amino acid metabolism, signal transduction, and energy metabolism. Redundancy analysis showed that environmental parameters greatly affected bacterioplankton diversity during the dry season compared to the wet season. The findings suggest that seasonality has a significant impact on bacterioplankton communities, and the dry season has more diverse communities influenced by environmental parameters. Further, the relatively high abundance of certain bacteria such as Acinetobacter deteriorated the water quality during the wet season compared to the dry season. Our findings have significant implications for water resource management in China, and other countries facing similar challenges. However, further investigations are required to elucidate the role of environmental parameters in influencing bacterioplankton diversity in order to devise potential strategies for improving water quality management in the reservoir.

Transition towards sustainable energy: The role of economic complexity, financial liberalization and natural resources management in China

China's sustainable development heavily depends on the nation's capacity to shift from fossil fuel to renewable energy, which can aid in meeting the country's target of attaining carbon neutrality by 2060. Currently, China is a global leader in renewable energy capacity; there is a need to understand the role of some major determinants of renewable energy usage. In this research, we consider it essential to investigate how financial globalization, economic complexity, and natural resources impact China's renewable energy usage, while considering crucial factors such as economic growth and environmental degradation. Annual dataset spanning from 1980 to 2019 and the dynamic autoregressive distributed lag approach for empirical investigation. The empirical outcome suggests that renewable energy is positively influenced by economic complexity, natural resources and economic growth. Furthermore, these results highlight the neutral impact of financial globalization and economic growth on renewable energy in the long run. However, financial globalization negatively impacts renewable energy in the short run. The frequency domain approach was used for the causal interaction test, which established the evidence of causality interaction between renewable energy and its determinants at various time horizons. As a result, policymakers should prioritize product specialization and diversification while pursuing more sophisticated exports.

Making China’s water data accessible, usable and shareable

Water data are essential for monitoring, managing, modelling and projecting water resources. Yet despite such data—including water quantity, quality, demand and ecology—being extensively collected in China, it remains difficult to access, use and share them. These challenges have led to poor data quality, duplication of effort and wasting of resources, limiting their utility for supporting decision-making in water resources policy and management. In this Perspective we discuss the current state of China’s water data collection, governance and sharing, the barriers to open-access water data and its impacts, and outline a path to establishing a national water data infrastructure to reform water resource management in China and support global water-data sharing initiatives. This Perspective characterizes the major challenges to open-access water data in China. A potential data management infrastructure to improve the collection, sharing, and use of water data is outlined.

Improved Management of Grassland to Promote Sustainable Use Based on Farm Size

Grassland farms form the basis of grassland resource management in China. Farm sizes in China are generally small, which obviously increases the risk of grassland ecosystems. It is necessary to analyze the impact of farm size on grasslands from the perspective of livestock production in order to improve grassland management. This study combines field investigations and statistical analysis from 2004 to 2020, using a total of 126 farms from the Xilinguole League of Inner Mongolia in China as samples. These sample farms are divided into large farms and small farms. Different production scale and management behaviors are explored, along with their different impacts on grassland resources use. The results show that the expansion of farm size is constrained by the government management policies. Different behaviors are adopted by large and small farms in terms of finance, grassland circulation, and overgrazing management. The differentiation mechanisms of different farm size and the utilization of grassland resources are clarified in this study. This work suggests that managers promote sustainable use based on farm size and build appropriate policies to avoid future risks. The results of this study can provide a framework for solving similar problems.

An overview of soil moisture drought research in China: Progress and perspective

Soil moisture drought (SMD) directly affects agricultural yield and land water resources. Understanding and predicting the occurrences and evolution of SMD are of great importance for a largely agricultural country such as China. Compared to other drought categories, SMD receives less attention due to the lack of long-term soil moisture datasets. In recent decades, SMD research has been greatly developed in China, benefiting from increased ground and satellite measurements along with state-of-the-art land surface models. Here, the authors provide a brief overview of the recent progress in SMD research in China, focus on historical drought identification and its prediction, and then raise some future perspectives. Based on historical SMD studies, drought frequency has increased overall and drought duration has been prolonged since the 1950s for China as a whole, but they both show substantial temporal variations at the regional scale. Research on SMD prediction has mainly relied on the statistical relationship between soil moisture and climate variables. Few studies based on the dynamical approach in seasonal drought prediction have highlighted the importance of initial conditions and atmospheric forcing datasets. Given the importance of SMD in agricultural practice and water resource management in China, it is necessary to emphasize the following: 1) conducting research on multiple time scales (e.g., from days to the centurial time scale) and cross-regional drought identification research; and 2) developing a SMD prediction system that takes advantage of climate prediction systems, land surface models, and multisource soil moisture datasets.摘要论文回顾了中国土壤湿度干旱 (SMD) 历史重建和季节预测研究进展, 并对未来研究进行了展望. 自1950s年代以来, 全国整体干旱频率增加, 持续时间延长, 且有明显区域特征. SMD预测多是利用土壤湿度与气候变量之间的统计关系, 而少量基于动力学方法的干旱预测研究强调了初始条件和大气强迫数据对季节尺度干旱预测的重要性. 本论文提出: 1) 加强多时间尺度, 跨区域的SMD研究; 2)联合气候预测系统, 陆面模式和多源土壤湿度数据研制SMD预测系统.

Impact of Efficient Resource Management Practices on Sustainable Performance: Moderating Role of Innovative Culture-Evidence From Oil and Gas Firms.

Academics and practitioners have paid close attention to waste, energy, and resource management due to growing awareness of its effects on sustainable performance. This study aims to explore the status and challenges of efficient resource management in China, an under-researched area. Moreover, it proposes a theoretical framework to fill the academic and practical gap how efficient resource management practices can build sustainable performance. This study justifies the need to explore the need of efficient resource management practices in emerging economies like China. Empirical data derived using a cross-sectional survey of 265 employees from oil and gas firms in China were used to test the theoretical framework developed from mainstream literature. Empirical findings of this study highlight the role of efficient resource management practices such as CSR, process and equipment, human resource practices, product design, and manufacturing planning which have a positive and significant impact on sustainable performance. In addition, innovative culture plays a moderating role in enhancing firms' sustainable performance. The findings suggest that there is further scope to utilize the efficient resource management practices for encouraging innovative culture to build sustainable performance. This study creates a basis for future research of building sustainable organizational performance by integrating efficient resource management practices. This study also highlights gaps in the system and provides insights into policymakers and manufacturing sector employees on holistically building a sustainable organization.