Analysis of Carbon Emissions of Logistics Industry in Tianjin Based on Environmental Kuznets Model

Digital economy provides a new opportunity for the development of green logistics, and digital transformation has become an important way for the logistics industry to save energy and reduce emissions. Based on the panel data of 30 provinces in China from 2005 to 2022, the spatial Durbin model, nonlinear intermediary effect model, and nonlinear regulatory effect model were constructed to investigate the carbon emission reduction effect of logistics industry digitization and its internal mechanism and enhancement path. The results showed that： ① The digitalization of the logistics industry had an inverted "U"-shaped effect on carbon emissions. This nonlinear effect had a spatial spillover effect that was stronger than the direct effect. Currently, 17 of China's 30 provinces, including Beijing, Shanghai, Guangdong, Jiangsu, Shandong, Hubei, Anhui, Fujian, Shanxi, Henan, Guangxi, Sichuan, Liaoning, Tianjin, Hunan, Xinjiang, and Inner Mongolia, have already crossed the inflection point, and the rest of the provinces remain on the left side of the inflection point. The conclusion was still valid after a series of robustness tests. Further heterogeneity analysis showed that, from a regional perspective, the local carbon emission reduction effect of logistics digitalization in the central region was the most prominent, and the spatial spillover effect of carbon emission reduction of logistics digitalization in the eastern region was the most prominent. From the perspective of digital input sources, the improvement of digital hardware level could reduce the carbon emissions of the logistics industry, while the impact of digital software on the carbon emissions of the logistics industry was inverted "U"-shaped. Compared with that of digital hardware, digital software had a more prominent carbon reduction effect. ② The results of mechanism analysis showed that green technology innovation and energy use efficiency played a nonlinear mediating role in the impact of logistics digitization on carbon emissions. Specifically, the digitalization of the logistics industry had a "U"-shaped nonlinear impact on green technology innovation and energy utilization efficiency, while the improvement of green technology innovation and energy utilization efficiency was conducive to reducing carbon emissions in the logistics industry. ③ The agglomeration and energy structure optimization of the logistics industry had a significant moderating effect on the carbon emission reduction effect of digitalization, in which the industrial agglomeration had an "amplifier" effect on the carbon emission reduction effect of logistics digitalization, that is, the improvement of the agglomeration level could enhance the inverted "U"-shaped impact of logistics digitalization on carbon emissions. Additionally, the energy structure optimization could slow down the carbon emission increase effect of logistics digitization in the early stage of transformation but could not enhance the carbon emission reduction effect of logistics digitization in the mature stage of transformation. Based on the conclusions of the study, countermeasures were proposed for the green and low-carbon development of the logistics industry in terms of creating a digital logistics ecosystem integrating software and hardware, promoting the utilization of clean energy in the logistics industry and the transformation and upgrading of industrial clusters, and promoting the synergistic low-carbon development of regional logistics. This study deepens the theoretical exploration of the carbon emission reduction mechanism of the logistics digitalization and provides a path choice for China's logistics industry to achieve green and low-carbon transformation under the "dual carbon" vision.

The development of social production has highlighted the issues of energy security and environmental pollution, making green and low-carbon development an urgent need. Green development is the foundation of high-quality development, and transportation and logistics, as an important part of energy consumption, have become an important system for green development. This article intends to use the Environmental Kuznets Model to conduct regression analysis on the output value and carbon emissions data of the logistics industry in Guangxi. Through analysis, the EKC curve is found to be N-shaped, indicating that with the continuous development of the logistics industry in Guangxi, the environmental quality first decreases, then improves, and then decreases again, indicating that the logistics industry in Guangxi is facing enormous carbon reduction pressure. The paper analyzes and proposes feasible suggestions in order to make positive contributions to the low-carbon development of the logistics industry in Guangxi.

Green logistics is an important part of green supply chain management, and its green and low-carbon level greatly affects the level of green supply chain management. In order to achieve China's targets of carbon peaking and carbon neutrality, and to study the emission reduction path of the logistics industry under green supply chain management, this paper uses the scalable STIRPAT model and ridge regression to analyze the influencing factors of carbon emissions in the logistics industry; Taking the relevant data from 2000 to 2020 as an example, combined with the scenario analysis method, this paper conducts an empirical study on the development trend of carbon emissions in China's logistics industry in the future. The results show that: under the low-carbon and enhanced low-carbon scenarios, China's logistics industry can achieve the carbon peak target of 876.6 MtCO2 and 817.02 MtCO2 respectively. Carbon emissions can be reduced to 234.9 MtCO2 by 2060 in the Enhanced Low Carbon Scenario. There is still a certain distance between neutralization. In the meantime, according to the forecast results, this paper, from the perspective of green supply chain management, from the three directions of carbon trading, reverse logistics and emission reduction costs, gives suggestions on the emission reduction path of China's logistics industry under the carbon peaking and carbon neutrality goals: consider early Incorporate the logistics industry into the carbon trading market; increase support and accelerate the development of reverse logistics; increase scientific research investment in clean energy, and promote new energy vehicles. This paper innovatively stands in the perspective of supply chain management, and improves the analysis of influencing factors. For the single industry of logistics industry, the carbon peaking and carbon neutrality goals goal is put in a model, which can better reflect the complete trend and target Provide low-carbon directions and suggestions. In all, these findings contribute to the formulation and implementation of sound policies to help China achieve the carbon peaking and carbon neutrality goals.

Guangdong Province is one of the provinces in China with a developed paper industry， and accurately predicting carbon emissions from the paper industry in Guangdong Province and formulating reasonable and effective carbon emission reduction measures have a significant impact on achieving the carbon peaking and carbon neutrality goals of China's paper industry. To this end， total industrial output value， employment scale， per capita industrial output value， carbon productivity， energy intensity， and energy structure indicators were introduced to construct the extended stochastic environmental impact assessment （STIRPAT） model， the partial least squares method was used for regression analysis， and the carbon emissions of Guangdong's paper industry from 2023 to 2050 under four scenarios were predicted. The study produced several results： ① Total industrial output value， per capita industrial output value， employment scale， and energy intensity are positively correlated with carbon emissions， whereas carbon productivity and energy structure are negatively correlated with carbon emissions. ②Under the baseline scenario， the paper industry can only achieve carbon peaking in 2040； under the low-carbon development scenario， although the paper industry can achieve carbon peaking by 2030， its carbon emissions will remain between 16.147 Mt and 19.337 Mt by 2050； under the strong low-carbon development scenario， the paper industry can not only achieve carbon peaking by 2030 but is also expected to achieve carbon neutrality by 2060. ③Under the fast development scenario， the carbon emissions of the paper industry maintain an upward trend， and the carbon emissions reach a high level in 2050， making it basically impossible to achieve the "dual carbon" goal. Therefore， Guangdong's paper industry should rationally plan the development of its paper production scale， actively enhance carbon productivity， optimize energy structure， and promote green technological advancements in the industry， thereby driving green and sustainable development of the paper industry.

Logistics industry in Wuhan city under the influence of economic development and related logistics policies, consumer demand is increasing, achieving a steady and rapid sustainable development. However, the ensuing high-energy consumption and high pollution have caused great pressure and negative impact on the environment of Wuhan city, and the pollution control problem has gradually aroused the common concern of the government, people, and relevant scholars, and the future development trend of low-carbon logistics has become a research hotspot of this new industry of logistics. In recent years, Wuhan city has been deeply affected by haze, and low-carbon and sustainable development is an important driving force for activities related to energy saving and emission reduction in Wuhan city at present. The logistics industry, as a high potential industry with high-speed development, is a key industry for environmental management and supervision, and the contradiction between the high-speed development of logistics industry and environmental pollution problem needs to be properly handled. This paper measures and analyzes the comprehensive efficiency of the logistics industry in Wuhan city from the perspective of low-carbon development, describes the current situation of the development of low-carbon logistics in Wuhan city and the problems that exist, analyzes them, and proposes feasible policies and establishments to make a contribution to the future development of low-carbon logistics in Wuhan city. This paper analyzes and organizes a large amount of literature, defines the definition of low-carbon logistics and performance evaluation, and selects the performance evaluation method that meets the research topic of this paper. On the basis of theoretical support, combined with the current situation of the development of low-carbon logistics industry in Wuhan city, reasonable indicators are selected for regression analysis of impact factors, and this paper’s low-carbon logistics efficiency evaluation index system is established to evaluate the performance of the low-carbon logistics industry in Wuhan city from 2010 to 2019, and finally put forward targeted policy recommendations.

With the acceleration of global economic integration, the aviation logistics is an important part of global logistics chain, has become an important tool to promote the fast development and accelerate economic and trade. After entering in twenty-first Century, along with the development of China's aviation industry and information technology, aviation logistics in China has ushered in new opportunities for development. At the same time, with the development of modern logistics industry in the global development, overseas air cargo enterprises and logistics enterprises to accelerate the pace of opening up the Chinese market, China is facing increasing competition in the aviation logistics. Compared with the western countries, the aviation physical industry in China started late, but the majority of logistics enterprises are from the traditional to the freight business development, the lack of modern logistics management concepts, relatively falls behind those western countries on the whole, the aviation logistics as the development direction of the newly developed is more greatly and the western countries there is a gap. Therefore, the science of our country aviation logistics operation mode of logistics, not only to improve the overall level of China's favorable, and will contribute to China's aviation logistics integration into the global logistics chain. This paper attempts to analysis of modern logistics and aviation logistics related theory, on China's air cargo and aviation logistics operation modes are analyzed, and the mode of operation of aviation logistics from the experience of developed countries and regions, the running mode of the future choice of type, especially by the founding company case analysis, discusses the transformation air transportation enterprise to modern logistics enterprise under the new environment of the inevitable and operation mode and business process optimization design, put forward the relevant policy recommendations to promote the development of aviation logistics in china. The main content includes the following: (1)The first chapter thread which is mainly introduces the research background and significance, research contents and framework, research methods and innovation. Mainly from the global air freight has become the leading mode of transport of significance, analysis of China's air cargo market potential and research development of aviation logistics and aviation logistics enterprise mode of operation; this paper mainly adopts the qualitative research method, which mainly adopts the research methods of literature study, comparative study of specific, case analysis, collected qualitative data analysis and discussion of quality. (2) The second chapter analyzes the related theory of modern logistics and aviation logistics, and lay a theoretical foundation for this research, and aviation logistics based on the literature review on the definition, the aviation logistics mainly refers to the air displacement (by aircraft to air transportation of goods from one place to another's) based, cohesion and participate in land transportation logistics and (or) integrated logistics service of shipping logistics. (3) The third chapter mainly introduces the development and operation of aviation logistics in developed countries, and summarizes the aviation logistics operation model of typical developed countries several: Airport Logistics Park and aviation logistics hub operation mode, based on the complex air express company flow service mode, airline strategic alliance mode based on. (4)The fourth chapter carried out a detailed analysis of China's air cargo, air logistics development mode of operation, and further analysis of the aviation logistics enterprises and reengineering the process optimization, pointed out that the current air cargo enterprises in China is facing the transition to the aviation logistics, several kinds of operation models of aviation logistics enterprise after transformation can be used: Airport Logistics Park and logistics hub operation mode, modern integrated logistics service mode, supply chain management consulting service mode, service mode, service based personalized logistics service mode based on. (5)The fifth chapter, Countermeasures and Suggestions. According to the present situation and problems of the mode of operation of aviation logistics in China at present and the related experience of development of aviation logistics in developed countries, from the establishment of a modern logistics management system, development planning, logistics personnel training, to play the role of associations and other angle to the government related recommendations; at the same time for the aviation logistics enterprises, mainly from the cultivation of enterprise core competitiveness, the establishment of enterprise alliance information construction and the point of view of talent reserve three commendations, to provide some guidance on aviation logistics development. (6) The sixth chapter case analysis. With the founding of aviation logistics company as a case, according to the modern logistics and aviation logistics theory, on the basis of the analysis of the development of the company's founding, analyzes the comprehensive logistics service mode, the founding strategic alliance mode, personalized logistics service mode, and in the foundation of the founding aviation logistics business process optimization and design. (7)The seventh chapter summarizes the main conclusions and research deficiencies are described.

Due to increased global carbon dioxide emissions, the greenhouse effect is being aggravated, which has attracted wide attention. China is committed to promoting the low-carbon development of all industries. This paper analyzed the influencing factors of carbon emissions in the Chinese logistics industry, so as to identify the key factors that influence carbon emissions. Based on the carbon emission data of China’s logistics industry in 2000–2019, this paper applied the carbon emission coefficients issued by the Intergovernmental Panel on Climate Change. For the first time, the Generalized Divisia Index Method was used to analyze the degree of influence of the factors on carbon emissions. This method considered more variables and their relationships. The results showed that (1) the carbon emissions of the logistics industry were increased by 3.22 times from 2000 to 2018, and showed negative growth for the first time in 2019; (2) the added value of the logistics industry is the most important factor in increasing carbon emissions (with a contribution ratio of 65.45%), energy consumption and practical population size are the main factors in carbon emissions. The promotion of this industry is subjected to decreased per capita carbon emissions, which have a large impact on total carbon emissions; (3) the intensity of carbon output is the most important factor in the reduction of carbon emissions (with a contribution ratio of −29.1%), where the energy carbon intensity and per capita added value are the main influencing factors with regard to the reduction of carbon emissions, while energy intensity has a negative inhibitory effect on carbon emissions, and (4) the influencing factors have negative effects on the cumulative inhibition of carbon emissions in the logistics industry, to an extent that is far less than the integral promotion of carbon emissions. Finally, according to the research conclusions of this paper, it is feasible to make recommendations for the carbon reduction of the logistics industry.

At present, China pays more and more attention to the development of green logistics, while the logistics industry is still in the stage of extensive development, deviating from the green, low-carbon and efficient development concept. Therefore, the analysis of the characteristics of energy consumption and carbon emissions in the logistics industry has important theoretical and practical significance for the formulation of effective energy-saving and emission reduction strategies. Using the carbon emission coefficient method to calculate the logistics industry carbon emissions, and using the decoupling theory to analyze the correlation between the logistics freight volume and the logistics industry energy consumption and carbon emissions.The results show that China’s logistics industry is trying to change the development mode, adapt to the impact of policy and economic environment.So as to adapt to the needs of the logistics market, logistics industry gradually transform to the complex industry.

China’s logistics industry has been flourishing in recent years, with the high carbon emissions caused thereby receiving widespread attention. In this paper, the emissions and intensity of embodied carbon in the logistics industry in China are calculated for 2012, 2015 and 2017, using the multiregional input-output model and the changing trend. Additionally, influences of the intensity of embodied carbon emissions in the logistics industry across 30 provinces of China are assessed using the structural decomposition analysis method. The results show that from 2012 to 2017, the emissions of embodied carbon in the logistics industry from 30 provinces increased, while the intensity of embodied carbon emissions mainly decreased. The changes in the embodied carbon emissions intensity of the logistics industry are mainly affected by the direct carbon emission coefficient and added value coefficient. The intermediate input structure technology and the total scale of the final demand play a slight role in promoting the intensity of the embodied carbon emissions in the logistics industry. The direct carbon emission coefficient plays a major role in restraining provinces with negative intensity of embodied carbon emissions and promoting provinces with positive embodied carbon emissions intensity. The added value coefficient plays a major role in promoting the intensity of embodied carbon emissions. Finally, based on the analysis results, this paper presents suggestions for reducing the embodied carbon emissions in the logistics industry in 30 Chinese provinces, which include adjusting measures to local conditions, increasing the proportion of clean energy and clean technology in the logistics industry, increasing investment in green technology research and development, and improving the green technology innovation. Currently, researches on the implicit carbon emissions of the logistics industry focus mainly on the national, regional, and inter-provincial levels, with relatively few studies on the implicit carbon emissions of the logistics industry in each province. However, understanding the differences in the implicit carbon emissions of the logistics industry in each province and their influencing factors is crucial for identifying key emission reduction factors and developing carbon-neutral and carbon-reduction policies at the provincial level, which is the contribution that this paper makes.

Purpose: China is confronting with tremendous pressure in carbon emission reduction. While logistics industry seriously relies on fossil fuel, and emits greenhouse gas, especially carbon dioxide. The aim of this article is to estimate the carbon dioxide emission in China ’ s logistics sector, and analyze the causes for the change of carbon dioxide emission, and identify the critical factors which mainly drive the change in carbon dioxide emissions of China ’ s logistics industry . Design/methodology/approach: The logarithmic mean Divisia index (LMDI) method has often been used to analyze decomposition of energy consumption and carbon emission due to its theoretical foundation, adaptability, ease of use and result interpretation. So we use the LMDI method to analyze the changes in carbon dioxide emission in China ’ s logistics industry in this paper . Findings: By analyzing carbon dioxide emission of China ’ s logistics, the results show that the carbon dioxide emission of logistics in China has increased by 21.5 times, from 45.1 million tons to 1014.1 million tons in the research period. The highway transport is the main contributor to carbon dioxide emission in logistics industry. The energy intensity and carbon dioxide emission factors were contributing to the reduction of carbon dioxide emission in China ’ s logistics industry in overall study period. Originality/value: Although there are a lot of literature analyzed carbon dioxide emission in many industry sectors, for example manufacturing, iron and steel , pulp and paper, cement, glass industry, and so on. However, few scholars researched on carbon dioxide emission in logistics industry. This the first study is in the context of carbon dioxide emission of China ’ s logistics industry.

By using the per-capita disposable income of urban residents, the freight turnover per ton of carbon emissions, the carbon emissions per ten thousands of passenger overturn and the ratio of output value of secondary and tertiary industry, this paper proposes a model of the carbon emissions by the transportation industry of Liaoning province. This paper utilizes the Shapley decomposition method, and then analyzes the influences of them on the carbon emissions by the transportation industry of Liaoning province in terms of the data of Liaoning province between 1997 and 2010. The conclusions are: the carbon emissions per ten thousands of passenger overturn has the most influence on carbon emissions by the transportation industry, and the ratio of output value of secondary and tertiary industry has the least. Therefore, this paper supposes that the ideologies like purchasing energyefficient transport and using public transportation should be popularized, and improving the utilization of transport is also a crucial measure to reduce the carbon emissions by the transportation industry. Keywords-transportation industry; carbon emissions; impact factors; Shapley decomposition method

Reducing the total carbon emissions of the logistics industry is one of the basic requirements for the development of a low-carbon economy. Based on the AHP analytic hierarchy process and the 1-9 value scaling method, an evaluation index system for the low-carbon development of the logistics industry is constructed. At present, the development of low-carbon logistics requires the combination of low-carbon technology and low-carbon management to ensure the integrity and dynamics of low-carbon logistics control. The results of this study show that in the AHP index analysis of the development of logistics industry in Shandong Province, compared with 13 evaluation indexes of low-carbon logistics and traditional logistics, low-carbon logistics is significantly better than traditional logistics. Among them, the implementation of low-carbon logistics policy system has increased the energy utilization rate to 88.72%, the recovery rate of warehousing and logistics waste to 92.11%, and other relevant indicators have also been improved and optimized to varying degrees. Based on the EKC model curve, the total carbon emissions from 2015 to 2019 showed a downward trend month by month. The future development of low-carbon logistics mainly starts with reducing the total carbon emission of logistics transportation and improving energy utilization. Aiming at the main influencing factors of the development of low-carbon logistics, this paper puts forward specific measures for the development of low-carbon logistics, in order to promote the development of low-carbon logistics.

Based on the logarithmic mean Divisia index (LMDI) method, this study systematically analyzes the change in gross output value of planting industry in China during 1990–2012 , reveals the contribution of total sown areas of farm crops, planting structure, per hectare output of crop and price level of crop on gross output value of planting industry and identifies significant contributors to the changes at different times, thereby providing reference for the rapid growth in gross output value of planting industry in China. The following results are obtained: (1) The gross output value of planting industry in China was increased by 995.31 billion Yuan during 1990–2012; during those nine crops, rice had the maximum increment in gross output value, while peanut increased at the fastest rate; the output value of rice, wheat and maize occupied an important position, but showed overall downward trend with fluctuation. (2) The cumulative contributions of total sown area of farm crops, planting structure, per hectare output of crop and price level of crop on the gross output value were 88.64, −24.18, 228.22 and 702.63 billion Yuan, respectively. Price level of crop and per hectare output of crop were the main contributors to the rapid increase in gross output value of planting industry; from the view of respective crops, the effects of price level of crop and per hectare output of crop in those nine crops were positive; the rapid rise in the price of rice, maize, wheat, cotton and peanut, superimposed with the significant increase in the per hectare output of cotton and the planting proportion of maize, obviously promoted gross output value of planting industry during 1990–2012. (3) The gross output value of planting industry in China was closely related to national macroeconomic policies. The rise of crop price was the major contributor to increase in gross output value of planting industry during 1990–1996; the overall decline in the price of crop and the planting proportion led to significant decline in gross output value during 1997–2003; the rebound rise in the price of crop and the rapid increase in per hectare output of crop resulted in significant increase in gross output value of planting industry during 2004–2012.

In recent years, logistics industry in China has been developed rapidly and become one of the backbone industries for national economy. The prosperity of logistics industry brings opportunity for financial market, and thus accelerating the development of logistics finance. Logistics finance not only is a necessity for national economy development, but also forms a huge market demand. Logistics, as its nature, is a value-added physical movement of commodity. In the process of logistics, there must exist flows of capital, information and they cannot be divided. Therefore, development of modern logistics needs substantial support from financial market, while on the other hand innovation of financial industry depends on the continuous development of logistics industry. Logistics industry collaborates with financial industry and forms a new cross-function and mutually affected business. Collaborative development of logistics with finance will be a win-win choice for both industries.

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.