Comprehensive evaluation and spatial layout of high-quality logistics industry development based on accelerated genetic algorithm-projection pursuit model

세계적으로 물류의 중요성이 증대되고 있으며, 물류산업의 발전과 더불어 학생과 근로자의 수가 증가하였다. 세계적인 물동량의 증가와 물류수요의 증대로 인해 많은 사람들이 물류에 종사하게 되었고, 물류산업은 지속적으로 성장하고 있다. 본 논문은 호주의 물류에 대한 현재와 미래의 인력확보와 산업발전에 따른 대응 전략을 연구하였다. 호주의 물류산업과 연관된 경제, 노동력 및 무역에 관한 거시적인 배경 에서부터 공급망에 대한 인식과 물류산업의 장래 고용전망을 알아보고 이에 대응하여 공급망관리에서 요구하는 능력과 기술에 대해 연구하 였다. 호주는 2017년 세계에서 13번째로 큰 경제 대국이며 호주의 노동력은 세계에서 가장 교육받고 다문화적이고 다국어를 구사하는 나라 중하나이다. 호주의 근로자는 우수한 교육 시스템, 우수한 과학 연구 기관 및 전문 교육 서비스의 가용성으로 인해 고도로 숙련되어 있다. 이들을 대상으로 물류에 대한 호감도를 조사한 자료에 의하면 학생들이 다른 직업에 비해 섹시하지 않다고 생각하고 있고, 직업상담사들도 트럭과 창고 분야를 그렇게 보기 때문에 공급망 이미지는 문제가 있다고 본다. 그 이유는 낮은 급여와 저평가된 산업 이미지, 노령인구의 증가와 자격증 획득에 필요한 시간과 비용의 문제와 조직에서의 경쟁을 들었다. 그러나 산업의 발전에 따라 물류관련 전문인력의 증가가 예상되는데 앞으로 어떠한 기술과 지식과 능력을 갖춘 인재를 육성해야 하는지에 대해서 연구하였다. 본 논문은 호주의 물류 및 공급망 전문가의 개발에 관한 연구이다.The importance of logistics is increasing worldwide. With the development of the logistics industry, the number of students and workers has increased. Due to the increase in world trade volume and the increase in logistics demand, many people are engaged in logistics, and the logistics industry is growing steadily. This paper deals with the current and future manpower securing the development of Australian logistics industry. From the macroeconomic backgrounds of the economy, labor and trade associated with the Australian logistics industry, we have identified the supply chain perception and future employment prospects for the logistics industry and have studied the capabilities and skills required in supply chain management in response. According to the data on the favorability of logistics, it is seen that students do not think that they are sexy compared to other jobs, and career advisors also see trucks and warehouses. The reasons are low Wages and poor industrial image, increased aging population, time and cost of acquiring qualifications and competition in organizations. However, as the industry develops, it is expected to increase the number of skilled manpower related to logistics. We have studied what kind of skills, knowledge and abilities are needed. This paper deals with the development of Australian logistics and supply chain Professionals.

China’s economy has stepped up from the high-speed growth stage to the high-quality development stage. With the high-quality development of the economy, the logistics industry is bound to move towards high-quality development. By establishing the index system of high-quality economic development and logistics, this work has measured their high-quality development level and analyzed their coupling coordination degree by using the coupling coordination model. The results show that there are great regional differences in high-quality economic development, high-quality logistics development and their coupling coordination degree in China. In the areas with high-quality economic development, the logistics industry is not necessarily high quality, and the coupling coordination degree between the logistics industry and high-quality economic development is generally not high. The main reason for this is that the coordination between the logistics industry and high-quality economic development is poor. While vigorously improving the high-quality level of the logistics industry, it should strengthen the high-quality connection between the logistics industry and the economy, so as to form a situation of mutual promotion and common development.

As an important part of regional logistics demand forecasting in logistics system planning, in order to develop regional logistics development policy, planning and construction of logistics infrastructure, provide the basis for the necessary for analysis of the logistics market development trend. Due to the development of China's logistics industry is still in its infancy stage, various statistical data of logistics demand forecast needs is not complete, in the limited sample data, how to make a reasonable demand forecast for regional logistics has become a very important research topic. Beijing as Chinese political economic center, is the domestic cargo turnover, and an important hub for import and export, As the core of the Bohai Sea Economic Circle, Beijing in the regional economic development as a transport hub and logistics channel plays a more and more important role, therefore, should be on the Beijing logistics demand forecast analysis. This paper analyzes the present situation of Beijing logistics development, starting from the total economic output, economic structure, economic location and other aspects, basic economic situation of Beijing is analyzed. From the transportation infrastructure construction present situation, the current status of development of logistics industry, logistics enterprises are analyzed in terms of status and problems of Beijing logistics development; then further analysis of Beijing logistics development environment, all of these indicate that it is very necessary for Beijing logistics demand forecast. Using the econometric model to analyze and forecast the total demand analysis of Beijing logistics, discusses the influencing factors of Beijing logistics demand, thus the construction of index system of logistics demand forecast, and selects freight, freight turnover as a quantitative index to measure the total quantity of logistics demand, using the Eviews model and the analysis, obtains the Beijing logistics demand presents the fast growth to the situation in the future five years.

The low-carbon transformation of the logistics industry is an important component of achieving China's "dual carbon" goals. Analyzing the dynamic evolution of carbon emissions in China's logistics industry and exploring effective paths for green and low-carbon development under the background of digital intelligence are of great significance for the long-term development of the logistics industry. Based on the carbon emission coefficient method, we calculated the carbon emissions of the logistics industry in 30 provinces and cities in China and analyzed the dynamic evolution of the logistics industry using kernel density analysis. We also constructed a measurement index system for the level of digitalization and incorporated it into the TOE framework, based on the three levels of technology, organization, and environment, to construct the antecedents of carbon emissions in the logistics industry, using the fsQCA method for configuration analysis of carbon emission reduction pathways in the logistics industry. The results indicate that: ① The carbon emissions of China's logistics industry showed a trend of first increasing and then decreasing, with a gradual decrease in the concentration of carbon emissions in the early stage and an increase in regional differences in carbon emissions, indicating spatial polarization. The gap between regions gradually narrowed in the later stage, and the distribution became more concentrated and balanced. ② There were three driving modes for low-carbon emissions in the logistics industry: digital intelligence-open collaborative type, technology-market synergy type, and digital intelligence-environment collaborative type. Among them, digital intelligence-open collaborative type was the most common. ③ There were three driving modes for non-low-carbon emissions in the logistics industry: open deficiency type, technology-open deficiency type, and numerical intelligence deficiency type. This was mainly due to the lack of two variables, namely the level of digital intelligence and the degree of openness to the outside world. ④ The presence of multiple configurational paths indicated that the level of digital intelligence was a core condition for the low-carbon development of China's logistics industry. Empowering the low-carbon transformation of the logistics industry with digital intelligence is a way to alleviate the burden of high-quality development in the logistics industry. The research findings can provide important reference and guidance for the government and relevant departments.

The logistics industry in China has developed into a unique pattern. Logistics informatization is one of the important parts of modern logistics, which distinguishes with the traditional logistics. More and more urgent demands for logistics information generates with the development of social logistics. The key problem that needs to be solved in modern logistics is how to analyze and extract the useful information from a great deal of information. This paper mainly analyzes the potential users of logistics information platform, and proposes a novel design pattern and operation procedure for modern logistics information platform, which promotes the development of modern logistics to some extent.

The logistics industry is an important support for the construction and development of my country’s national economy, and there is a close relationship between regional logistics and regional economy. In order to comprehensively evaluate the level of logistics competitiveness in Henan Province, this paper has established 11 evaluation indexes of Henan logistics industry competitiveness from three perspectives: regional economic conditions, logistics demand and logistics industry support factors. With the help of SPSS 22.0 software for factor analysis, 11 indexes are divided into two public factors: logistics economic development environment, logistics demand and scale, and the competitiveness of the logistics industry of 18 province-administered cities in Henan Province is ranked. According to the scores of 2 factors, the 18 provincial cities were divided into five categories using the systematic cluster analysis method, and then the development ideas for the development of the logistics industry of each type of provincial cities were put forward to provide a reference for the overall development of the logistics industry in Henan Province. At the same time, it also provides reference for the development of logistics industry in other regions.

This paper selected the time series data from 1994 to 2015, and explored the interaction and coordination between the development of logistics industry and financial industry (including insurance industry) in xinjiang by means of cointegration test, granger test, vector error correction model and other measurement methods. Logistics industry and financial industry in the short term, according to the results of xinjiang from the inhibition effect of equilibrium will be quickly adjust to achieve long term steady relations of mutual promotion, the causal relationship, but the insurance industry to interact with the logistics industry has not yet formed, financial industry is not sensitive to the development of logistics industry, the interactive coordination needs to improve.

In the 40 years since the reform and opening up, China's logistics industry has made great progress, but there is still the problem of uneven development in various provinces and regions. This paper selects three first-level indicators and 18 second-level indicators to establish an evaluation index system for the development level of the logistics industry. The three primary indicators include infrastructure indicators, scale indicators and external environmental indicators. By using the grey relational analysis and Entropy weight method to evaluate China's logistics industry development level, and compare logistics industry development level of provinces and regions. It is concluded that the cause of the provinces and regional logistics industry development level is uneven. Finally, according to the actual situation provide suggestions for the development of logistics industry in future.

In-depth discussion and research on the credit issues of the logistics industry are not only of vital significance to the in-depth development of the logistics industry, but also have a significant impact on the sustainable development of the entire logistics industry and even the Chinese economy. This paper combines machine learning algorithms to improve the neural network and builds a credit system for the smart logistics public information platform. When studying the credit evaluation index system of logistics enterprises, the majority of logistics consumers are used as the evaluation subject, and the logistics users are surveyed, and the initial index system established is scored. Then, the method of factor analysis is used to sort and analyze the results of the questionnaire and determine the final evaluation index. In addition, according to the development of logistics enterprises themselves, this paper uses the analytic hierarchy process to evaluate the credit ratings of logistics enterprises from the perspectives of logistics enterprise customers and managers. This will be more authentic and convincing for the evaluation results.

As a booster of the national economy and a catalyst of industrial development, the logistics industry uniquely maintains stable economic operations and promotes industrial structural adjustment. The development of China’s logistics industry has broadened the international market and accelerated the exchange and cooperation of logistics industries between different countries. The “Belt & Road Initiative” will continue to provide impetus for the development of China’s logistics industry, which can guarantee the infrastructure interconnection of the logistics industry and ensure the fundamental implementation of the initiative. Based on theoretical analysis and the panel data of 30 provinces in China during 2005–2020, whether the “Belt & Road Initiative” had obvious policy effects on regional logistics development in China was analyzed. The empirical research results showed that the “Belt & Road Initiative” could accelerate the high-quality development of the logistics industry in the provinces along the route during the research period. Industrial proportion, per capita GDP, import and export amount of goods, investment in fixed assets of the whole society, and science and technology input positively affected the development of regional logistics industries. The regression coefficient of the energy structure in the logistics industry was negative but not significant. The research results have important decision-making reference values in promoting the regional advantages of modern logistics industries, promoting the convenience of logistics trade, improving the scientific and technological level of the logistics industry, and using other exogenous policy variables to boost the high-quality development of modern logistics industries under the background of the “Belt & Road Initiative”.

Retracted.

Regional logistics is an important part of the regional economy. It plays an important role in optimizing the allocation of regional resources, promoting the upgrading of regional industrial structure, and promoting the sustainable development of regional economy. It is known as the “accelerator” of regional economic growth. Under the background of the expanding regional economic differences in China, this article focuses on the important components of regional economy, researching on regional logistics in different regions. This article focuses on the regional logistics development level, the internal mechanism of regional logistics promoting regional economic growth, the current situation and influencing factors of regional logistics development level differences, and the regional logistics development level differences. The purpose of this article is to study the application of artificial intelligence technology to the spatial difference analysis of China’s regional logistics development and the construction of information network platform under the background of the new economy. In this article, factor analysis is used to construct the index system. The research shows that the intensity of regional logistics connection is significantly enhanced, the regional logistics network is further improved, and a relatively complete multilevel regional logistics network structure is basically formed. In addition, there are great differences in the level of logistics development among regions. The characteristics of the spatial distribution circle in the eastern, central, and western regions are obvious, which is positively related to the economic development, in the Pearl River Delta with the strongest comprehensive competitiveness. The score coefficient of the Yangtze River Delta logistics area is 1.464, and the score coefficient of the northwest logistics weakest area is −0.328. The development of regional logistics can focus on the construction of logistics park, the construction of logistics network system, the progress of regional logistics technology, and the improvement of logistics efficiency. The construction of logistics park is conducive to the integration of regional logistics resources, improves the utilization efficiency of regional logistics resources, forms the economies of scale, and then reduces the transaction cost of the whole region.

Green logistics has become important in the development of China's logistics industry, and the evaluation and monitoring of the development of green logistics have attracted much research interest. Green logistics is closely related to the overall logistics development based on the awareness of sustainable development. Taking Fujian Province as an example, we construct the evaluation index system of logistics development to evaluate the results of green development. After standardizing and dimensioning the evaluation index data with SPSS, the score of logistics development level in Fujian from 2014 to 2019 is obtained by using principal component analysis, and the development of green logistics in the region is evaluated based on the proportion of energy consumption of logistics industry during this period. The results show that the development of green logistics in this region is in a good direction, and the logistics industry presents sustainable development.

Based on the new development concept, this paper integrates statistical data, vector data, and raster data to construct a high-quality development evaluation system for new urbanization. The high-quality development of new urbanization in 21 prefecture-level cities in Guangdong Province is evaluated from five dimensions: innovation, coordination, green, opening, and sharing. Moreover, the variation coefficient, Dagum Gini coefficient, and other methods were used to further investigate the spatial difference of high-quality development of new urbanization. This study found that the new high-quality development of urbanization level has obvious spatial differences and significant development gaps between the Western Region, the Northern Region, the Eastern Region, and the Pearl River Delta Region in Guangdong Province. Additionally, the opening index, followed by the innovation index, presented the most significant development gap, and the inter-regional gap is a crucial contributor to the high-quality development differences of new urbanization in Guangdong Province.

The pandemic of COVID-19 has brought great challenges to the development of the world economy and has an unprecedented and inevitable impact on the logistics industry connecting various economic activities. In the context of the gradual alleviation of the COVID-19 outbreak in China, we observed five impacts on China's logistics industry, which are sharp drop in logistics demand, shortage of transportation capacity, disruption of logistics network, change of service mode, and increase in operating costs and number of loss-making enterprises. When this invited paper was written, the outbreak in China has been effectively under controlled. In the post-COVID-19 era, under the three driving forces (i.e. the market, technology and policy), China's logistics industry will develop rapidly, leading to significant changes in five aspects: logistics demand, logistics supply, logistics infrastructure, logistics informatisation, and logistics industry development. The authors of this invited paper have been actively involved in the development of China's logistics industry in various capacities, governmental and non-governmental as well as in academia, and participated in a range of studies on the development trends, plans and policies of China's logistics industry. The authors have a profound understanding of the latest situation in the China's logistics industry and government initiatives.