scholarly journals Data-Driven Evaluation and Optimization of Agricultural Sustainable Development Capability: A Case Study of Northern Anhui

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 2036
Author(s):  
Muchen Luo ◽  
Fan Liu ◽  
Jianqing Chen
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Utilization Efficiency ◽  
Data Driven ◽  
Data Envelopment Analysis Model ◽  
Analysis Model ◽  
Production Scale ◽  
The Sustainable Development ◽  
Agricultural Sustainable Development ◽  
Sustainable Development Ability

Human survival depends on the sustainable development of agriculture. This study constructs a data-driven evaluation and optimization method of agricultural sustainable development capacity, aiming to better cope with challenges such as environmental pollution and excessive consumption of resources and energy, as well as improve agricultural economic level. Further, an evaluation index system was constructed based on comprehensive consideration of energy and resources utilization, environmental pollution, and agricultural economy. After simplifying and integrating the data, a data envelopment analysis model was constructed to quantitatively evaluate the capability for agricultural sustainable development and its changing trend. Moreover, its influencing factors were analyzed from the perspective of input, which provides accurate countermeasures for improving agricultural sustainable development ability, resource utilization efficiency, and process optimization. This study shows the realization process of the aforementioned method for the agricultural development of six cities in northern Anhui from 2010 to 2019. Our results suggest that the sustainable development ability of northern Anhui is weak, but overall, has a good development trend. Based on our results, some countermeasures were proposed to control production scale reasonably, reduce environmental load, and improve resource efficiency, which provides a reference for policymakers to guide and standardize the development of regional agriculture.

Study on the Sustainable Development Evaluation of Logistics Enterprise for Industry Manufacturing Based on Data Envelopment Analysis

2013 ◽  
Vol 345 ◽  
pp. 380-383
Author(s):  
Shu Lin Li
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Academic Community ◽  
Evaluation Index System ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Application Process ◽  
The Sustainable Development ◽  
Logistics Enterprise

Logistics is an important part in social reproduction; it not only has the physical recycling and energy conversion, but also involves value transfer and value realization. Besides, the logistics involved the economic system and ecological environment system. With resource constraints and environmental problems have become more serious; the sustainable development of logistics enterprise for industry manufacturing has become the focus of the academic community. Based on the concept of sustainable development and data envelopment analysis model, this paper constructs the evaluation index system of sustainable development for logistics enterprise for industry manufacturing, and clears the application process of the model according to the characteristics of its logistics enterprise for industry manufacturing.

scholarly journals Environmental Regulations on the Spatial Spillover of the Sustainable Development Capability of Chinese Clustered Ports

2021 ◽  
Vol 9 (3) ◽  
pp. 301
Author(s):  
Xinhua He ◽  
Wenjun Liu ◽  
Ruiqi Hu ◽  
Wenfa Hu
Keyword(s):  
Sustainable Development ◽  
Environmental Regulations ◽  
Spillover Effect ◽  
Data Envelopment Analysis Model ◽  
Analysis Model ◽  
The Sustainable Development ◽  
Spatial Spillover ◽  
Media Regulation ◽  
Public Media ◽  
Development Capability

For years, China has adopted environmental regulations in developing ports to improve their sustainability. Based on the data of Chinese ports from 2009 to 2018, this paper presents a data envelopment analysis model with subdividing input-output indicator weights and develops it further in two stages with the weight preference and the slacks-based measure, respectively. After assessing the sustainable development capability (SDC) of Chinese ports and their spatial correlation, it revealed that Chinese ports are clustered in several regions and their SDC has spilled over into their neighbors. Further study revealed the SDC is affected by environmental regulations in different ways: as a key measure among regulations to improve the SDC, voluntary regulation has a spatial spillover effect, but neither the mandatory regulation nor public media regulation can significantly improve the SDC. This suggests that the port authority should enact environmental regulations based on the port spatial difference and the port should expand its operation scale and market size and recruit more top talent, which is good for improving its productivity and reducing its carbon emissions.

scholarly journals Climate Drives Environmental Efficiency Across Chinese Provinces

2019 ◽  
Vol 12 ◽  
pp. 194008291987326
Author(s):  
Bin Zhang ◽  
Shijing Ye ◽  
Wei Wang ◽  
Feihua Huang ◽  
Yan He
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Mainland China ◽  
Temperate Zone ◽  
Environmental Efficiency ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
The Sustainable Development ◽  
Policy Measures

Balancing economic growth and environmental pollution is essential for the sustainable development of Mainland China. To address this issue, this study applied an improved data envelopment analysis model to evaluate the environmental efficiency of 29 provinces in Mainland China from 2006 to 2016. The study divided the 29 provinces into two groups: the subtropical and tropical zones and the temperate zone. The study then compared the differences in environmental efficiency between the two groups. The results indicate that the overall environmental efficiency of the provinces in Mainland China increased significantly from 2006 to 2016; however, there remained significant potential for improvement. In particular, the environmental efficiency is significantly lower in the temperate zone compared with the subtropical and tropical zones. As Mainland China’s population is increasingly moving to coastal areas in the subtropical and tropical zones, each province should adopt targeted policy measures to improve its environmental efficiency based on its industrial and population conditions.

scholarly journals An Improved Forecasting Method and Application of China’s Energy Consumption under the Carbon Peak Target

2021 ◽  
Vol 13 (15) ◽  
pp. 8670
Author(s):  
Xiwen Cui ◽  
Shaojun E ◽  
Dongxiao Niu ◽  
Dongyu Wang ◽  
Mingyu Li
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Optimization Methods ◽  
Support Vector ◽  
The Sustainable Development ◽  
Consumption Data ◽  
Forecasting Method ◽  
Forecasting Performance ◽  
Carbon Peak

In the process of economic development, the consumption of energy leads to environmental pollution. Environmental pollution affects the sustainable development of the world, and therefore energy consumption needs to be controlled. To help China formulate sustainable development policies, this paper proposes an energy consumption forecasting model based on an improved whale algorithm optimizing a linear support vector regression machine. The model combines multiple optimization methods to overcome the shortcomings of traditional models. This effectively improves the forecasting performance. The results of the projection of China’s future energy consumption data show that current policies are unable to achieve the carbon peak target. This result requires China to develop relevant policies, especially measures related to energy consumption factors, as soon as possible to ensure that China can achieve its peak carbon targets.

scholarly journals Constructing an Environmental Friendly Low-Carbon-Emission Intelligent Transportation System Based on Big Data and Machine Learning Methods

2020 ◽  
Vol 12 (19) ◽  
pp. 8118
Author(s):  
Tu Peng ◽  
Xu Yang ◽  
Zi Xu ◽  
Yu Liang
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Intelligent Transportation ◽  
Exhaust Emissions ◽  
Low Carbon ◽  
Vehicle Exhaust ◽  
The Sustainable Development ◽  
Low Carbon Emission

The sustainable development of mankind is a matter of concern to the whole world. Environmental pollution and haze diffusion have greatly affected the sustainable development of mankind. According to previous research, vehicle exhaust emissions are an important source of environmental pollution and haze diffusion. The sharp increase in the number of cars has also made the supply of energy increasingly tight. In this paper, we have explored the use of intelligent navigation technology based on data analysis to reduce the overall carbon emissions of vehicles on road networks. We have implemented a traffic flow prediction method using a genetic algorithm and particle-swarm-optimization-enhanced support vector regression, constructed a model for predicting vehicle exhaust emissions based on predicted road conditions and vehicle fuel consumption, and built our low-carbon-emission-oriented navigation algorithm based on a spatially optimized dynamic path planning algorithm. The results show that our method could help to significantly reduce the overall carbon emissions of vehicles on the road network, which means that our method could contribute to the construction of low-carbon-emission intelligent transportation systems and smart cities.

scholarly journals A New Grey Relational Analysis Model Based on the Characteristic of Inscribed Core (IC-GRA) and Its Application on Seven-Pilot Carbon Trading Markets of China

2018 ◽  
Vol 16 (1) ◽  
pp. 99 ◽  
Author(s):  
Lihong Wang ◽  
Kedong Yin ◽  
Yun Cao ◽  
Xuemei Li
Keyword(s):  
Time Series ◽  
Sustainable Development ◽  
Carbon Price ◽  
Carbon Trading ◽  
Analysis Model ◽  
The Sustainable Development ◽  
Grey Correlation ◽  
Relational Analysis ◽  
Trading Market ◽  
Grey Relational

In recent years, the study of the factors affecting the carbon trading price plays an important role in promoting the carbon trading markets and the sustainable development of green economy. However, due to the short establishment time of China’s carbon trading market, the carbon trading price data of the pilot markets were not complete and have the typical characteristics of poor information. The traditional grey correlation model cannot effectively identify the volatility and the grey correlation coefficient of trading data. In this paper, an inscribed cored grey relational analysis model (IC-GRA) is constructed by extracting the values of the triangle inscribed center of the time series sample. Through numerical examples and empirical analysis, it is verified that IC-GRA not only satisfies the four axioms of traditional grey correlation but also avoids the influence of outliers of time series fluctuation and improves the discriminability of the grey correlation coefficient. The empirical results of the IC-GRA model in China’s seven pilot carbon trading markets show that: 1. among international carbon trade factor, the biggest influence factor carbon trade price is different in pilot markets. The price of natural gas has a greater correlation with the carbon price of carbon trading markets in Shenzhen, Guangzhou, and Chongqing. The futures price of Certified Emission Reduction (CER) has a strong correlation with the carbon price of Shanghai and Beijing carbon trading markets; the price of Hubei carbon trading market is the largest related to crude oil future price in the New York Mercantile Exchange ( NYMEX). 2. Air Quality Index (AQI) is most relevant to the market carbon price of carbon trading, followed by the trading turnover and trading volume of the carbon trading market. Therefore, studying the carbon trading price of the carbon trading market plays a positive role in improving the sustainable development in those areas.

scholarly journals A Novel Planning Method of Urban Building Wastes for Environment Protection and Sustainable Development

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402095126
Author(s):  
Xiao-ping Bai ◽  
Xiu-weng Wang
Keyword(s):  
Sustainable Development ◽  
Systems Engineering ◽  
Building Construction ◽  
Environment Protection ◽  
Analysis Model ◽  
The Sustainable Development ◽  
Recycling System ◽  
Construction Enterprises ◽  
Science Management ◽  
Green Packaging

The building construction wastes seriously polluted the environment; building construction wastes and the recycling of green packaging materials are the important link of environment protection and sustainable development. The building construction wastes have complicated composition. Some of them can be recycled by simply sorting, but most urban building construction wastes require special separation or reprocessing. Therefore, building an efficient and practical building construction wastes multilevel utilization recycling system to resolve the recycling problems of building construction wastes is meaningful. By systematically analyzing the grading recycling system of building construction wastes, this article uses systems engineering, logistics theory, resources recycling science, management science, and other related methods and knowledge to establish a novel nonlinear programming (LP) intelligence planning analysis model for a complex reverse logistics transportation system composed of three-level recycling parts of the building construction wastes, and applies a practical example to propose the solving method of new models based on genetic algorithms and LINGO software. The presented new model and its detailed solving method can help us find the best recycling scheme from urban building construction wastes, and it has great significance for the sustainable development in building construction enterprises.

Simulation Study for Oasis-Type Urban Systems Sustainable Development - A Case Study on Wuwei City in Gansu Province

2013 ◽  
Vol 869-870 ◽  
pp. 134-141
Author(s):  
Bo Yang ◽  
Pei Ji Shi
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Environmental Pollution ◽  
Supply And Demand ◽  
Urban System ◽  
Development Trend ◽  
Gansu Province ◽  
Urban Systems ◽  
Steady Increase ◽  
The Sustainable Development

Oasis city ecological environment and socio-economic development is the only way to achieve regional sustainable development. The paper takes the use of Wuwei City in 2000-2010 statistics to simulate the next 10 years the sustainable development of the Urban System, using SD simulation model in system dynamics to comparative analysis three simulation program of complex systems including population, economy, water resources, land resources, environmental pollution and other subsystems, and explore the problems of Urban System sustainable development in Wuwei City in the future. The results showed that: only when the various factors within the system have maintained stable development trend, that steady economic development, population growth steady, steady increase water consumption, water emissions control increases, so that Wuwei City will maintain the situation of the balance between supply and demand of resources and environmental pollution, and improve and achieve ultimately the sustainable development of complex n Oasis city System.

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