Spatial-Temporal Changes and Influencing Factors of Ecological Protection Levels in the Middle and Lower Reaches of the Yellow River

Zhu, Min; Tang, Haiyun; Elahi, Ehsan; Khalid, Zainab; Wang, Kaili; Nisar, Nimra

doi:10.3390/su142214888

Cited by 9 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, from the perspective of structure, the logic of this paper is relatively clear, but there is still some room for adjustment in the division of chapters, and there are also some deficiencies in the theoretical analysis part of the article. In the future, we will refer to the articles of Feng Ye [26], Zhang Xiaoheng [27], Zhang Qing [28], Zhu Min [29], and other scholars to further adjust and supplement the structure and chapters of the article. Second, from the perspective of entry, it would increase the practical significance of the article if we started from the consumer's point of view and added research on the economic and management aspects of festivals.…”

Section: Discussionmentioning

confidence: 99%

Influence of Festival Activities on Enterprise Production Behavior: A Case Study of the China Bamboo Culture Festival

Li,

Zhang

et al. 2023

Forests

View full text Add to dashboard Cite

At the present stage, China’s ecological civilization construction has entered a strategic period focusing on carbon reduction, which is also a critical period for achieving the improvement of ecological environment quality. The prosperity of bamboo culture and the development of the bamboo industry are of great significance in promoting the construction of an ecological civilization in China. Festival activities often have lasting impacts on the development of the host city. They not only promote urban development but also spur the growth of local enterprises in related industries. However, these impacts have been rarely explored by researchers. This paper analyzes how festival activities influence the behavior of host city enterprises from the perspective of stakeholders with a theoretical model. Taking the China Bamboo Culture Festival as an example, micro-data on bamboo enterprises in 1999–2015 were collected from the Chinese Industrial Enterprise Database and analyzed with a theoretical model to empirically verify the influence of the festival over the production behavior of bamboo enterprises. The research shows that the China Bamboo Culture Festival has a significant positive impact on the total output value and total factor productivity of bamboo product enterprises, which in turn affects the production behavior of the enterprises. In the host province/city, the enterprises that engaged in the festival surpassed the other enterprises by 1.0764% in terms of gross output; export enterprises were less affected by the festival than domestic market enterprises. The China Bamboo Culture Festival makes bamboo enterprises more sustainable and competitive in the industry, and the holding of festival activities enhances the sustainable development capabilities of enterprises by improving their business environment. In addition, significant differences were observed between enterprises in different geographical locations, of different ownerships, and in different subdivided industries. Enterprises in the eastern region are least affected by the China Bamboo Culture Festival, while those in the western region are the most impacted; those in the central region fall in the middle by the degree of influence. Bamboo, rattan, palm, and grass products are influenced by the China Bamboo Culture Festival, while the production of other manufacturing industries is basically unaffected.

show abstract

Section: Discussionmentioning

confidence: 99%

Influence of Festival Activities on Enterprise Production Behavior: A Case Study of the China Bamboo Culture Festival

Li,

Zhang

et al. 2023

Forests

View full text Add to dashboard Cite

show abstract

“…To overcome this deficiency, a local spatial autocorrelation analysis must be performed. The main methods are the local indicators of spatial association (LISAs) [29] and Moran scatter plots [30].…”

Section: Local Spatial Autocorrelationmentioning

confidence: 99%

Interpretation and Spatiotemporal Analysis of Terraces in the Yellow River Basin Based on Machine Learning

Li,

Tian,

et al. 2023

Sustainability

View full text Add to dashboard Cite

The Yellow River Basin (YRB) is a crucial ecological zone and an environmentally vulnerable region in China. Understanding the temporal and spatial trends of terraced-field areas (TRAs) and the factors underlying them in the YRB is essential for improving land use, conserving water resources, promoting biodiversity, and preserving cultural heritage. In this study, we employed machine learning on the Google Earth Engine (GEE) platform to obtain spatial distribution images of TRAs from 1990 to 2020 using Landsat 5 (1990–2010) and Landsat 8 (2015–2020) remote sensing data. The GeoDa software (software version number is 1.20.0.) platform was used for spatial autocorrelation analysis, revealing distinct spatial clustering patterns. Mixed linear and random forest models were constructed to identify the driving force factors behind TRA changes. The research findings reveal that TRAs were primarily concentrated in the upper and middle reaches of the YRB, encompassing provinces such as Shaanxi, Shanxi, Qinghai, and Gansu, with areas exceeding 40,000 km2, whereas other provinces had TRAs of less than 30,000 km2 in total. The TRAs exhibited a relatively stable trend, with provinces such as Gansu, Qinghai, and Shaanxi showing an overall upward trajectory. Conversely, Shanxi and Inner Mongolia demonstrated an overall declining trend. When compared with other provinces, the variations in TRAs in Ningxia, Shandong, Sichuan, and Henan appeared to be more stable. The linear mixed model (LMM) revealed that farmland, shrubs, and grassland had significant positive effects on the TRAs, explaining 41.6% of the variance. The random forest model also indicated positive effects for these factors, with high R2 values of 0.984 and 0.864 for the training and testing sets, respectively, thus outperforming the LMM. The findings of this study can contribute to the restoration of the YRB’s ecosystem and support sustainable development. The insights gained will be valuable for policymaking and decision support in soil and water conservation, agricultural planning, and environmental protection in the region.

show abstract

“…On the methodology for constructing the indicator system, there are four main types: directly based on research needs and data availability, on the basis of PSR model [29] [30], the DPSIR model [31] [32], and based on the SFPHD framework [33]. The study area is mainly concentrated in the upper Minjiang River basin [34] [35], the Yellow River's middle and lower reaches [36]- [38], the Yangtze River basin [39] [42], and Beijing Municipality in China [43].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Condition of the Human Habitat Ecosystem in Anhui Province and Regional Spatial and Temporal Distribution Study

Luo,

Guo

2024

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Due to the increasingly serious problems of China's human habitat ecosystem, on the basis of PESTEL paradigm, this study develops a human habitat ecological environment evaluation system with 6 criteria levels and 33 indicator layers, with Anhui Province as a representative. It also combines entropy weight method-TOPSIS, grey correlation analysis method and ArcGIS to assess the quality and spatial-temporal distribution features of the habitat ecological environment in the province of Anhui from 2012 to 2021. The results are presented below (1) Analysed from a temporal perspective, in Anhui Province, the overall quality of human habitat ecological environment improved significantly between 2012 and 2021, and the comprehensive index increased by 178.95%. (2) From the spatial dimension, Huangshan City and Maanshan City in the south of Anhui Province have the highest level of habitat ecological environment, while Huaibei City and Bozhou City perform the worst. (3) In terms of different indicators, the indicator with the strongest interlink with the humankind habitat ecosystem is the completed investment in the project of treating wastewater (PO5), and the indicator with the weakest correlation is the Total amount of wastewater discharged (TE1). The variations in time and space in the evolution and development of the quality of the humankind habitat in the province of Anhui are obvious, and differentiated and targeted measures to improve the human habitat ecological environment should be implemented to effectively promote the excellent creation of Anhui Province.

show abstract

Spatial-Temporal Changes and Influencing Factors of Ecological Protection Levels in the Middle and Lower Reaches of the Yellow River

Cited by 9 publications

References 20 publications

Influence of Festival Activities on Enterprise Production Behavior: A Case Study of the China Bamboo Culture Festival

Influence of Festival Activities on Enterprise Production Behavior: A Case Study of the China Bamboo Culture Festival

Interpretation and Spatiotemporal Analysis of Terraces in the Yellow River Basin Based on Machine Learning

Evaluation of the Condition of the Human Habitat Ecosystem in Anhui Province and Regional Spatial and Temporal Distribution Study

Contact Info

Product

Resources

About