New Insight Into The Spatial Autoregressive Model of Industrial Wastewater Discharge In The Yellow River Basin

Author(s):  
Libo Xia ◽  
Zhiliang Wang ◽  
Shuang Du ◽  
Decun Tian ◽  
Feng Chen

Abstract This article has carried out a statistical analysis of the industrial wastewater discharge (IWD) and gross regional product (GRP) of 79 cities in the Yellow River Basin from 2003 to 2019. By calculating the Moran index of IWD and GRP, the study has found that a certain spatial autoregressive in space. There is an environmental Kuznets curve (EKC) between the environmental pollution and economic development of cities in the Yellow River Basin, and a spatial autoregressive is modelled by a set of random effects that are assigned a conditional autoregressive prior distribution. In the Bayesian environment, Markov chain Monte Carlo (MCMC) is used for inferencing, and the spatial weight matrix is ​​selected to be U-shaped matrix, and the error of the model is minimized. The parameter posterior distribution results of the model showed that the GRP did not show a significant decline. The modified EKC showed that the discharge of industrial wastewater in the entire Yellow River Basin will be reduced. Generally, cities with high pollutant emissions should learn from other cities to reduce emissions, and cities with low GRP need to increase local economic development.

Author(s):  
Yanhong Zhao ◽  
Peng Hou ◽  
Jinbao Jiang ◽  
Jun Zhai ◽  
Yan Chen ◽  
...  

The coupling and coordination relationship between ecology and the economy in the Yellow River Basin is a hot topic in sustainable development research. Said research has important guiding significance for the ecological security and comprehensive development of the Yellow River Basin. Taking the Yellow River Basin as the object of our study, based on the data of the economy, energy consumption data, ecology data and water resources data, we construct an indicator system of the economic development and ecological status of the Yellow River Basin and use the principal component analysis method to calculate the economic development and ecological status index. Then, we use the evaluation method, the coupling degree model and the coupling coordination degree model to analyze the time and space evolution trends of economic development and ecological state, coupling degree and coupling coordination degree. The results show that: (1) From 2000 to 2018, the economic development index of the Yellow River Basin rose steadily; the ecological status index showed a slow rise and then a downward trend. (2) The degree of coupling between economic development and ecological state has been considered as intensity coupling after 2005. The coupling trend slowly increased and then decreased, indicating that the interaction effect between the economy and ecology was first significantly enhanced and then slowly weakened. (3) The degree of coupling coordination increased from 0.2994 to 0.6266 and then decreased to 0.5917, reflecting the continuous improvement of the relationship between the regional economy and the ecological environment and the trend toward coordination. From 2015 to 2018, due to the gradual increase in the difference between economic development and ecological conditions, the coupling and coordination between the two decreased. Studies have shown that ecological construction and protection should be strengthened to ease the contradiction between the economy and ecology and achieve coordinated development.


2020 ◽  
Author(s):  
Chan Xiao ◽  
Lianchun Song

<p>The Yellow River Basin is the place where Chinese civilization originated, known as the mother river of the Chinese nation. The Yellow River originates from the Bayan Kara Mountain in the Qinghai Tibet Plateau. It flows through Qinghai, Sichuan, Gansu, Ningxia, Inner Mongolia, Shanxi, Shaanxi, Henan and Shandong provinces, with a total length of 5464 kilometers, a drainage area of 795000 square kilometers and a population of 110 million. It has an important position in China's economic development. Now the development plan of the Yellow River Basin has been promoted to the level of national strategy. In order to better serve the economic development planning of the Yellow River Basin, the climate characteristics and climate risks of the upper, middle and lower reaches of the Yellow River Basin were analyzed. The topography of the Yellow River Basin is high in the West and low in the East, with great difference in topography and complex climate. It is sensitive to climate change and prone to drought and flood, extreme drought and rainstorm and flood. With global warming, the upstream tends to warm and humid, which has an important impact on the ecosystem, the middle and lower reaches tend to warm and dry, which has an important impact on pollution control and flood control. The impact of climate change must be considered in the development plan of the Yellow River Basin.</p>


2021 ◽  
Author(s):  
Chengzhen Song ◽  
Guanwen Yin ◽  
Zhilin Lu ◽  
Yanbin Chen

Abstract At present, China's economic development has entered a "new normal." Exploring Industrial ecological efficiency (IEE) in the background of economic transformation is of great significance to promote China's industrial transformation and upgrading and achieving high-quality economic development. Based on the Super-Efficiency DEA model, this study evaluated the IEE of cities in the Yellow River Basin from 2008 to 2017. Exploratory spatial data analysis methods were used to explore the spatial-temporal evolutionary characteristics, and a panel regression model was established to explore the influencing factors of IEE. The research results showed that: The IEE in the Yellow River Basin exhibited an elongated S-shaped evolutionary trend from 2008 to 2017, and the mean IEE of cities presented a trend whereby Yellow River Basin’s regions could be ranked in the following order: lower reaches > middle reaches > upper reaches. There was significant spatial autocorrelation of the IEE in the Yellow River Basin, and the hot and cold spots showed an obvious "spatial clubs" phenomenon. The results of panel regression show that the influence factors of IEE in the Yellow River Basin showed spatial heterogeneity in their effect.


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