Spatio-temporal Evolution Characteristics and Influencing Factors of Carbon Emission Reduction Potential in China

Li, Zhangwen; Cai-jiang, Zhang; Zhou, Yu

doi:10.21203/rs.3.rs-436557/v1

Cited by 4 publications

(4 citation statements)

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“…The primary goal of complex network research is to unveil statistical properties of these networks, such as degree distributions, clustering coefficients, and average path lengths, and to explore the universal principles and rules underlying these properties [22,23]. By studying these statistical properties, one can gain a better understanding of the mechanisms, stability, and resilience of networks, as well as various dynamic processes within them.…”

Section: Basic Concepts Of Complex Networkmentioning

confidence: 99%

Analysis of professional competency awareness based on visible network graphs

Meng,

Han,

Mou

2024

Front. Phys.

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Introduction: With the advancement of society and technology, the importance of professional competency has been increasingly emphasized. This study aims to provide an in-depth analysis of the Baidu search index for “professional competency” from July 3, 2017, to October 6, 2023, across 34 provincial-level administrative regions in China.Methods: The study begins with a literature review to establish a theoretical framework. Subsequently, it delves into the fundamental concepts of complex networks, their parameters, and the principles of visible network graph algorithms. The application of system clustering and community detection algorithms is explored within this framework.Results: The empirical analysis starts with a provincial-level examination, involving the construction of visible network graphs, the exploration of scale-free networks, and discussions on regional system clustering. Following this, a nationwide analysis is conducted, focusing on the construction of visible network graphs to visualize the awareness of professional competency and studying community structures.Discussion: The findings provide insights into the awareness of professional competency across different regions. These insights are valuable for informing policy formulation and corporate decision-making, contributing to a deeper understanding of professional competency awareness and its implications.

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Section: Basic Concepts Of Complex Networkmentioning

confidence: 99%

Analysis of professional competency awareness based on visible network graphs

Meng,

Han,

Mou

2024

Front. Phys.

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“…To correct the unit standard equivalent value in Hebei Province and obtain the farmland ecosystem service value of each unit and each year by calculation, we referred to existing literature [35,36]. Agricultural carbon emissions were mainly based on the use of chemical fertilizers, pesticides, agricultural film, diesel oil, land tillage and irrigation in the process of agricultural production, referring to Li [37]. The carbon emission coefficients used to calculate available carbon emissions were 0.8956 kg/kg, 4.9341 kg/kg, 5.18 kg/kg, 0.5927 kg/kg, 312.6 kg/km 2 and 20.476 kg/km 2 .…”

Section: Plos Onementioning

confidence: 99%

Characteristics and prediction of agricultural ecological efficiency for coordination between economy and environment

Ma,

Guo,

Chen

et al. 2024

PLoS ONE

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Agricultural ecological efficiency is an important tool with which to measure the coordination of the sustainable development of agricultural economies and ecological environments. In this paper, a super-efficiency slacks-based measures model was used to measure the agricultural ecological efficiency in Hebei Province. The characteristics of spatial and temporal evolution patterns were explored using a spatial Markov transfer matrix. The results showed that (i) based on measurements, the agricultural ecological efficiency in Hebei Province showed regional differences in four regions (eastern, northern, central and southern Hebei) and 141 counties; (ii) from the perspective of evolutionary characteristics of agricultural ecological efficiency, the overall development of in Hebei Province was good, with more concentrated spatial distribution and more obvious direction, while the type of transfer of agricultural ecological efficiency in Hebei Province showed strong stability that was significantly affected by geographical neighborhood conditions and the club convergence phenomenon; (iii) from the perspective of the long-term evolutionary trend of agricultural ecological efficiency, the areas adjacent to counties with low efficiency had limited potential for improvement, and the areas adjacent to counties with high grade had great potential. However, it was difficult to achieve large-scale improvement in agricultural ecological efficiency in Hebei Province, whether the impact of geospatial backgrounds was considered or not.

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“…The climate change caused by environmental pollution is closely linked to economic growth [10]. Therefore, determining how to effectively cut carbon emissions and maintain the area's ecological environment while achieving the medium-high economic development of the BER is one of the major issues currently being faced [11]. Understanding the dynamics and spatial correlation of carbon emission intensity is crucial for realizing a low-carbon development mode [12,13].…”

Section: Introductionmentioning

confidence: 99%

Serial Dynamics, Spatial Spillover and Common Factors of Carbon Emission Intensity in China’s Bohai Economic Rim

2023

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The Bohai Economic Rim (BER) is an important economic Rim in north China. Since the implementation of the Beijing−Tianjin−Hebei Coordinated Strategy in 2014, the provinces have become more closely connected in economic development and environmental governance. This paper investigates the dynamics and spillover effects of carbon emission intensity in the BER before and after removing the common factors, and analyzes the reasons for the difference. In this study, the serial dynamics characteristics and spatial spillover effects of the carbon emission intensity of provinces were analyzed in the BER provinces between 2000 and 2019. Based on the Moran index and the spatial Durbin model, the provincial carbon emission intensity and influence factors were examined. CD (Correlation Dependence) tests were then applied, with the test results indicating that the carbon intensities had strong spatial correlation. Therefore, the dynamic spatial Durbin common factor model was introduced, characterizing the dynamic characteristics of the carbon emission intensity and the spatial spillover effect in the BER. The consequences obtained are as follows: (1) The carbon emission intensities in the BER were influenced by the energy intensity, urbanization level, economic growth, and population density. There was a significant spatial spillover effect between a province and its neighboring provinces. (2) The carbon emission intensities of the provinces exhibited a strong correlation. (3) The reason for the strong carbon emission intensity correlation is associated with environmental protection policies that are similar and the common external development environment. Combining the above findings and study conclusions, the authors offer the following policy suggestions: (1) optimize the energy structure; (2) improve the industrial structure; (3) construct a regional collaborative governance mechanism for carbon emissions; and (4) formulate a precise policy. This study is crucial for reducing regional carbon emissions, promoting the transition to a green economy and society, and achieving the “carbon peaking” and “carbon neutrality” targets in China.

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Spatio-temporal Evolution Characteristics and Influencing Factors of Carbon Emission Reduction Potential in China

Cited by 4 publications

References 0 publications

Analysis of professional competency awareness based on visible network graphs

Analysis of professional competency awareness based on visible network graphs

Characteristics and prediction of agricultural ecological efficiency for coordination between economy and environment

Serial Dynamics, Spatial Spillover and Common Factors of Carbon Emission Intensity in China’s Bohai Economic Rim

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