scholarly journals Study on the Interaction and Coordinated Development of Xinjiang Financial Industry and Logistics Industry—Research Based on VEC Model

2019 ◽  
Author(s):  
Qi-qing ZHOU ◽  
A-man FAN
Keyword(s):  
Financial Industry ◽  
Coordinated Development ◽  
Logistics Industry ◽  
Industry Research ◽  
Vec Model

Candle charts for financial technical analysis

2019 ◽  
Vol 19 (1) ◽  
pp. 200-209 ◽  
Author(s):  
Mehmet F. Dicle
Keyword(s):  
Moving Average ◽  
Visual Representations ◽  
Technical Analysis ◽  
Relative Strength ◽  
Financial Industry ◽  
Strength Index ◽  
Research And Teaching ◽  
Industry Research ◽  
The Individual

Technical analysis is an important part of financial industry, research, and teaching. The methodology has two parts: i) calculation of the individual tools and ii) visual representations. In this article, I provide a community-contributed command, candlechart, to draw the most common technical analysis charts. My intent is to draw these charts similarly to industry examples. The popular candle price chart is combined with charts for volume, moving-average convergence divergence, relative strength index, and Bollinger bands.

scholarly journals Research on the Coordination of Environmental Pollution and Industrial Structure Upgrading from the Coupling Perspective

2021 ◽  
Vol 290 ◽  
pp. 03015
Author(s):  
Wenjing Zhang
Keyword(s):  
Energy Consumption ◽  
Environmental Pollution ◽  
Industrial Structure ◽  
Economic Transformation ◽  
Coordinated Development ◽  
Environmentally Sustainable ◽  
Inaccurate Data ◽  
Vec Model ◽  
Endogenous Variables ◽  
Industrial Structure Upgrading

Economic transformation and industrial structure upgrading are critical to achieving environmentally sustainable development. Based on the inaccurate data analysis of the VEC model and the logarithmic average exponential decomposition method, this paper proposes an analysis of the two-way coupling relationship between natural gas energy consumption and environmental pollution. Through the identification of conceptual models of the re-linking and decoupling relationship between energy consumption and environmental pollution, two-dimensional endogenous variables and exogenous variables are determined. The research results show that both energy consumption and CO2 emissions are on the actual data statistical line, with an error of 0. At the end, the article puts forward policy recommendations to promote the coordinated development of urban agglomeration environmental pollution and industrial structure upgrading.

scholarly journals How to Coordinate Economic, Logistics and Ecological Environment? Evidences from 30 Provinces and Cities in China

2020 ◽  
Vol 12 (3) ◽  
pp. 1058 ◽  
Author(s):  
Wei Zhang ◽  
Xinxin Zhang ◽  
Mingyang Zhang ◽  
Woyuan Li
Keyword(s):  
Economic Development ◽  
Rapid Development ◽  
Entropy Method ◽  
Ecological Environment ◽  
Eastern Region ◽  
Coordinated Development ◽  
Logistics Industry ◽  
Spatial Differences ◽  
Environment Index

With the rapid development of economy, the scale of the logistics industry is also expanding rapidly, which brings great convenience to economy and trade, and becomes one of the pillar industries of national economy. However, with the development of economy and logistics, the problem of ecological environment is becoming more and more prominent. Through the design of economic development, logistics development, and the ecological environment index system, the economic development, logistics development and eco-environment development level of 30 provinces and cities in China from 2008 to 2017 are analyzed by using the entropy method and coupling coordination degree model, and the spatial characteristics of regional economic development, logistics development, and ecological environment are analyzed by using ArcGIS software. The results show that the coupling coordination of economic development, logistics development and ecological environment in most provinces and cities in China is at the mediate coupling level, and only Shanghai, Anhui, and Fujian in the Eastern region have reached the high-quality coupling level; there are significant temporal and spatial differences in the coupling and coordinated development between economic development, logistics development and ecological environment. The level of coupling coordination in the western region has always been at a low level, while the level of coupling coordination in most of the central and eastern regions is relatively high. There are situations where the level of coupling coordination is not high; the coordinated growth of economic development, logistics development, and ecological environment is mainly driven by economic development and logistics development. However, the level of ecological environment has been lagging behind the level of economic and logistics development. In the future development, it is necessary to give full play to the role of the logistics industry in economic development, weigh the relationship between the development of the logistics industry and ecological environmental protection, actively develop green logistics, and the level of coordinated development among economic development, logistics development and ecological environment.

An Empirical Study on the Coordinated Development of Chinese Manufacturing and Logistics Industry

2011 ◽  
Vol 201-203 ◽  
pp. 2443-2446
Author(s):  
Shou Wen Ji ◽  
Heng Liang Xia ◽  
Jia Ming Meng ◽  
Xiang Yu Han
Keyword(s):  
Empirical Study ◽  
Empirical Research ◽  
Normal Level ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
General Effect ◽  
Analysis Model ◽  
Coordinated Development ◽  
Logistics Industry ◽  
Dea Method

An evaluation index system for the coordinated development of the manufacturing and logistics industry (hereafter CDMLI) was established in this paper. An assessment and analysis model for CDMLI was constructed utilizing DEA method; and an empirical research was carried out based on 18 years’ data in China. It was found that the general effect of CDMLI in China was just at a normal level.

Study on Coordination Evaluation of Modern Logistics Industry and Regional Economy High-Quality Development in Hunan Province

2021 ◽  
Vol 7 (6) ◽  
pp. 5848-5858
Author(s):  
Xu Juan
Keyword(s):  
Regional Economy ◽  
Principal Component ◽  
Hunan Province ◽  
Quality Development ◽  
Modern Logistics ◽  
Coordinated Development ◽  
High Quality ◽  
Logistics Industry ◽  
High Level ◽  
Coordination Degree

Objectives: We calculate the coupling coordination degree between modern logistics industry and high-quality development of regional economy in Hunan Province from 2008 to 2019. Methods: In this study, the coupling coordination degree model is constructed and the calculation is carried out based on Principal Component Analysis (PCA). Results: (1) The degree of coupling coordination between modern logistics industry and high-quality development of regional economy in Hunan province is generally on the rise from 2008 to 2019. (2) From 2013 to 2019, the development of modern logistics industry and regional economy in Hunan Province has been in a state of "high-level coordination". The 19th National Congress clearly put forward high-quality development. From 2018 to 2019, the degree of coupled and coordinated development between modern logistics industry and high-quality development of regional economy in Hunan Province showed a state of "high-level coordination". According to this conclusion, Combined with the "three highs and four new" strategy and the urban requirements of the new development concept in Hunan Province, this paper puts forward some suggestions on promoting the modern logistics industry in Hunan Province and promoting the coordinated development of regional economy with high quality.

scholarly journals Research on logistics carbon emissions under the coupling and coordination scenario of logistics industry and financial industry

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261556
Author(s):  
Lu Wang
Keyword(s):  
Carbon Emissions ◽  
Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Eastern Region ◽  
Financial Industry ◽  
Weighting Method ◽  
Logistics Industry ◽  
The Impact ◽  
Degree Of Coupling ◽  
Coordination Degree

In order to measure the impact of the degree of coupling and coordination between logistics and financial industries on the carbon emissions of the logistics industry, a comprehensive evaluation index system for the logistics-financial industry from 2007 to 2017 was constructed, which was calculated using the multi-objective linear weighting method; and a combination of logistics and financial industry was constructed. The panel smooth conversion model of coordination degree and carbon emission of logistics industry. The empirical results show that the coupling coordination degree of logistics and financial industry in China’s 30 provinces is mostly in primary and medium coordination, and only a few provinces are on the verge of imbalance; the coupling coordination degree in the eastern region is overall moderate coordination, and the overall coordination degree in the central and western regions It is the primary coordination; with the growth of GDP per capita, the degree of coupling and coordination between the logistics and financial industries has promoted the increase of carbon emissions in various regions, but the promotion effect is an inverted U-shaped trend that first increases and then decreases.

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