Logistics Growth Research Articles

The Non-Linear Impact of Industry 4.0 on Carbon Emissions in China’s Logistics Sector

This study investigates the impact of Industry 4.0 on carbon emissions within China’s logistics sector, focusing on its potential to support global carbon reduction goals. Utilizing panel data from 30 Chinese provinces between 2011 and 2019, this research employed an Industry 4.0 index alongside IPCC guidelines to estimate logistics emissions. Through fixed effects and dynamic panel models, this study indicated an inverted U-shaped relationship among the development of Industry 4.0 and carbon emission management. Industries move to emitting more pollution to provide their required needs to all but once technologies advance, drastic decreases in combustion and emissions take place as the industries move more towards conservation and the integration of information continues to improve. This study investigates the non-linear impact of Industry 4.0 on carbon emissions in China’s logistics sector. Utilizing panel data from 30 Chinese provinces between 2011 and 2019, the research employs a dynamic panel model to quantify the relationship between Industry 4.0 adoption and carbon emissions. The findings reveal an inverted U-shaped relationship, with emissions initially increasing by 10% at lower levels of technology adoption before decreasing by 15% as the Industry 4.0 index reached higher levels. This study provides empirical evidence supporting the strategic deployment of Industry 4.0 technologies to achieve sustainable logistics growth. Key policy implications and future research directions are discussed.

Decoupling relationship between logistics growth and carbon emissions and driving factors in Chongqing: A novel decomposition framework

A comprehensive understanding of the logistics decoupling status and driving factors is of immense theoretical and practical importance for rationally formulating low-carbon logistics policies and accelerating the realization of high-quality development. Present study introduces the logarithmic mean Divisia index method (LMDI) decomposition technique into Tapio index model, extends traditional decoupling model, and establishes a new analytical framework for the decoupling relationship between logistics growth and carbon emissions. Using long-term data from Chongqing (1997–2021), this study investigated the Chongqing logistics decoupling relationship and driving factors. The study found the following: (1) Chongqing logistics carbon emissions show phased changes and face greater pressure to reduce emissions. (2) The decoupling status of logistics growth and carbon emissions is predominantly expansive and weak decoupling, with an overall evolutionary trend of “expansive decoupling–weak decoupling–strong decoupling. The average decoupling index in 2013–2021 was 0.5523, indicating a decreasing trend; however, there was still a large gap in realizing a strong decoupling goal. (3) The energy consumption intensity effect facilitates logistics carbon decoupling, the economic scale effect has a strong inhibiting effect, and the industrial structure effect and transportation intensity effect are staged. Finally, targeted policy recommendations are proposed to expedite logistics carbon emissions decoupling in Chongqing.

Projected Future Scenario of Electric Vehicles and Their Latent Impact on Electricity Demand in Kenya

Abstract-This study projects the future scenario of electric vehicle (EV) adoption and its impact on electricity demand in Kenya. Using data from the Kenya National Bureau of Statistics on EVs and internal combustion engine vehicles (ICEVs) registered from 2010 to 2022. Logistic growth model (LGM) used for projections was executed using MATLAB. The projected number of EVs by 2050 for conservative (25%) moderate (50%), optimistic (75%), and original (100%) adoption rates were respectively 3,927,131; 7,475,274; 9,880,293 and 10,807,843 with corresponding electricity demand of 14.8 TWh, 28.2 TWh, 37.3 TWh and 40.8 TWh, which increases to 18.7 TWh, 35.7 TWh, 47.2 TWh, and 51.6 TWh when generation and transmission losses are added. Adding electricity demand by other sectors, net electricity generation increases in the range from 37.4 TWh to 70.3 TWh for conservative and original scenarios respectively by 2050, which represent 3-times and 5.5 times the 2022-generation of 13 TWh. In conclusion, EVs penetration into the Kenyan market is currently low. However, their eventual replacement of ICEVs will have significant implications for electricity demand and supply, even under the conservative scenario. Key Words: transportation, electric vehicles, energy demand, logistics growth model, climate change

Logistics growth in the armed forces: development of a theoretical framework and research propositions

ABSTRACT Considering the current instability within the European security landscape, militaries are seeking new ways to grow and counter emergent threats. However, there is a rarity of armed forces addressing logistics growth within literature. Thus, this paper investigates growth concepts that can enable military forces develop, conduct, and grow logistics to achieve its operational objectives. The paper undertakes extant literature analysis of three relevant theories of growth as a means to review for comprehending organizational growth. The relationships between logistics and three growth theories as well as industry growth practices are analysed. Argues that the development of the concept of logistics growth in the military require support not just from established growth theories but also from long-standing industrial practice in order to fully develop the best strategic-fit growth concept for the military. Nine propositions reflecting antecedent relationships amongst theoretical variables for growth are developed. Study serves as a point of departure for further research on military growth in general and military logistics growth in particular and provides military leaders with disciplinary options for evaluating logistics growth strategies for achieving operational objectives and goals.

Stagnant logistics growth simulation on West African intermodal corridors

Despite Africa’s high economic growth rate, its logistics costs remain high, and many infrastructure projects and logistics policies are being implemented. Moreover, in Western Africa, where several economic communities have been established, logistics growth is still unstable due to civil conflicts and political changes. These factors are rapidly changing the logistics situation in Western Africa, and there is a need to identify changes in the competitiveness of countries and seaports that handle cargo to/from landlocked countries. The objective of this study is to quantitatively analyse the time-series changes in the logistics situation in West Africa applying the global logistics intermodal network simulation model to the African continent with different parameters by time points. Scenarios regarding political upheavals in Western Africa are examined to clarify the effect on the cargo flow of landlocked countries. The simulation results indicate that Côte d’Ivoire gets greater access to Burkina Faso if border facilities in neighbouring countries stagnate. Moreover, the absence of civil conflicts may raise the presence of Abidjan Port as a regional transhipment hub more prominent and increase its container throughputs. The findings of this study contribute to quantitatively visualising the impact of the events on the logistics situation in Western Africa, which can help formulate future logistics policies and development strategies.

The Mediator Role of Starting New Business in the Relationship between Logistics Performance and Growth

The Mediator Role of Starting New Business in the Relationship between Logistics Performance and Growth

Buyer behaviour modelling of rural online purchase intention using logistic regression

Improvements in connectivity, smartphone adoption, data usage, a competitive e-commerce space, innovations in financial technologies, and logistics growth are expected to push the Indian e-commerce industry to 200 billion dollars by 2026. The growth will mainly be propelled by the rural populace - constituting 68% of the Indian population and accounting for half of its consumption. It will be primarily driven by their increasing aspirations, brand consciousness, and value search against a stagnant urban market. However, such growth depends on the marketer's understanding of rural consumers, whose online consumer behaviour has not been well investigated. The current study tries to bridge this gap by studying the antecedents of rural e-commerce adoption. The results indicate that service quality, enjoyment, and trust are the most critical parameters for rural e-commerce adoption. The study results can help e-commerce market participants design suitable intervention strategies to improve their rural sales and returns.

Viral infection dynamics of HBV DNA-containing capsids with logistics growth and saturated rate

Knowing more about the dynamics of hepatitis B viral infection with DNA containing capsids, still under research. In this paper, we propose a new mathematical model dealing with the infection of hepatocytes with capsids logistics growth functions and saturated rate. We initiate the work with the description and the wellposedness of the formulation, then we study the stability of different equilibria to get a set of results which express that the system has tree equilibrium points. For the basic reproduction number is less then one (R 0 < 1) the diseasefree equilibrium is stable and when R 0 > 1 other conditions determinate the stability of the endemic equilibrium points. By numerical simulation, we verify numerically the theoretical founding.

Modeling water inequality and water security: The role of water governance

Water Inequality, Water Security and Water Governance are fundamental parameters that affect the sustainable use of water resources. Through policy formulation and decision-making, Water Governance determines both Water Security and Water Inequality. Largely, where Water Inequality exists, Water Security is undermined through unsustainable water use practices that lead to pollution of water resources, conflicts, hoarding of water, and poor sanitation. Incidentally, the interconnectedness of Water Governance, Water Inequality and Water Security has not been investigated previously. This study modified the Gini coefficient and used a Logistics Growth of Water Resources Model (LGWR Model) to access Water Inequality and Water Security mathematically, and discussed the connected role of Water Governance. We tested the validity of both models by calculating the actual Water Inequality and Water Security of Ghana. We also discussed the implications of Water Inequality on Water Security and the overarching role of Water Governance. The results show that regional Water Inequality is widespread in some parts. The Volta region showed the highest Water Inequality (Gini index of 0.58), while the Central region showed the lowest (Gini index of 0.15). Water Security is moderately sustainable. The use of water resources is currently stress-free. It was estimated to maintain such status until 2132 ± 18 when Ghana will consume half of the current total water resources of 53.2 billion cubic meters. Effectively, Water Inequality is a threat to Water Security, results in poverty, under-development heightens tensions in water use, and causes instability. With proper Water Governance, Water Inequality can be eliminated through formulating and implementing approaches that engender equal allocation and sustainable use of water resources.

Assessment of Asymptotic and Logistics Growth Models on A Chemist Data

This research considers two growth models; asymptotic growth model and logistic growth model. Both models were compared to establish a better model for modelling and prediction based on a Chemist data on the percentage concentration of isomers versus time for each Isomerization of α-Pinene at 189.50C. Results from the growth curve shows a non-linear relationship between the response (time of isomerization) and the independent variables (percentage of concentration) for all the four isomers considered. Based on the four isomers four different quadratic regressions of second-order were fitted. The problem of the initial parameters was addressed by second-order regression techniques since the models considered have three parameters to be estimated before the iterative approach was used. Estimation of parameters was done using modified version of the Levenberg-Marquardt Algorithm in Gretl statistical software. The results from both models were compared based on Aikaike Information Criteri (AIC), Bayesian Information Criteria (BIC), Mean Squared Error (MSE) and R-square. The Asymptotic Growth Model was identified to be a more adequate model for modelling and predicting growth patterns for three isomers (Dipentene, Pyronene and Dimer) while logistic growth model was seen to be a better model for predicting growth patterns of one isomer (Allo-Ocimene). This study will go a long way in directing Chemists and researchers in that field in choosing the appropriate model for their research.

Application Exploration of Scenario Logistics Ecosystem Based on beyond 5G and IoT Architecture

With the continuous expansion of my country's logistics market, the business scale and management scale of logistics enterprises are increasing day by day. Smart logistics enterprises realize the “three streams in one” of the logistics industry through informatization and intelligent management, which greatly improves the service efficiency and quality of logistics enterprises. However, there are still many problems in this intelligent logistics mode. In this context, we conduct research experiments on the logistics ecosystem of IoT architecture scenarios and draw conclusions through experiments: (1) logistics development in IoT building scenarios. The environment includes natural environment, economic environment, political environment, etc. The economic environment plays an important role in driving logistics demand and promoting logistics growth. The political environment helps to improve the logistics infrastructure and ensure the healthy development of logistics. (2) The most important cost of the logistics industry is that transportation costs account for 67% of the entire logistics cost, followed by cargo storage accounting for 16% of the cost, and smart express cabinets accounting for 13% of the cost. From this, we can see the highest cost out of the logistics system under the Internet of Things is the transportation cost. As a unity is closely linked to the economy and interdependent, logistics is the driving force to promote the development of economic integration. In order to ensure the sustainable development of the economy, it is necessary to continuously improve the service level of logistics, reduce logistics costs, improve operation efficiency, strengthen the linkage development with other industries, and enhance the competitiveness of logistics. We launched an investigation against this background and researched the logistics system under the scenario logistics ecosystem of beyond 5G and IoT architecture.

人工灌丛化对荒漠草原生态系统碳储量的影响

宁夏盐池县从20世纪70年代开始在荒漠草原上人工种植柠条灌木用以防风固沙和生态恢复，这一人为措施极大地改变了区域生态系统的植被结构和碳循环，而定量评估人工灌丛化对荒漠草原生态系统碳储量的影响，不仅能够揭示人类活动的碳循环反馈机制，而且可为地方政府生态治理提供理论指导。结合Biome-BGC模型和Logistics生长模型模拟了1958-2017年间荒漠草原人工灌丛化前后的碳储量变化，定量分析了人工灌丛化对生态系统碳储量和组分的影响。结果表明：（1）结合Biome-BGC模型和Logistics生长模型可以较准确地模拟出荒漠草原人工灌丛化过程中生态系统碳储量的变化。（2）人工灌丛化会快速改变荒漠草原的碳储量累积特征，柠条灌木种植后的快速生长阶段极大增强了生态系统的总碳储量，导致生态系统的碳储量特征由草地型向灌木型转变。（3）人工灌丛化改变了生态系统各类型碳储量的组分结构，其对地上植被和枯落物碳储量的影响非常明显，灌丛化后生态系统的植被和枯落物碳分别增加了6倍和1.76倍；因植被碳向土壤碳转化过程较慢，故人工灌丛化对地下土壤碳储量的影响在短期内较为微弱。以上结果显示，荒漠草原人工灌丛化能显著增强生态系统的碳固持能力，为碳中和及应对气候变化提供可行路径。;Cultivation of Caragana liouana, which is also known as planted shrub encroachment, has greatly changed the vegetation structure and carbon cycles of regional ecosystem in Yanchi County since 1970. However, there are insufficient studies to quantitatively evaluate the effects of this anthropogenic measurement on carbon storage in the desert steppe ecosystem. Meanwhile, the work to understand the effects of planted shrub encroachment on carbon storage of desert steppe ecosystem not only expose the feedback mechanism of carbon cycle on the anthropogenic activity but also provide a scientific basis for local government on the ecological restoration project. In this study, we combined Biome-BGC and Logistics growth model to simulate the carbon storage dynamics in desert steppe before and after planting shrub during 1958-2017, and quantitatively analyzed the effects of the planted shrub encroachment on 4 kinds of carbon storage in the ecosystem. The results are as follows:(1) combination of Biome-BGC and Logistics growth model could accurately simulate the carbon storage dynamic changes during the process of the planted shrub encroachment in the desert steppe ecosystem. (2) Characteristics of carbon storage accumulation were changed a lot by planting shrubbery. Rapid growth stages of Caragana liouana greatly enhanced the total carbon storage of desert steppe ecosystem, while led to the transformation from grassland to shrub ecosystem. (3) The planted shrub encroachment changed the ratio of various types carbon in total carbon storage, especially affected vegetation and litter carbon storage, which significantly increased by 6 times and 1.76 times, respectively, while the soil carbon storage has not changed clearly in the short term, because the conversion process of vegetation carbon to soil carbon was slow. These results indicated that the planted shrub encroachment could significantly enhance the carbon sequestration capacity of the desert steppe ecosystem, and provide a feasible path to carbon neutrality and addressing climate change.

The effects of fast delivery, accidental management and top management on sustainable logistics growth

The objective of the current study is to examine the effect of fast delivery and accidental management on sustainable logistics growth. The study examined the relationship between fast delivery, accidental management, top management and sustainable logistics growth. Top management is used as a moderating variable. In this study, the Thai logistic companies are investigated, therefore, the population of the study is on logistics companies of Thailand. Data were collected from the employees of logistics companies to examine the effect of fast delivery, accidental management and top management on sustainable logistics growth. A survey was carried out and 450 questionnaires were distributed among the employees. Results of the study show that sustainable logistics growth is the most important for the logistics companies influenced by the fast delivery, accidental management and top management. Fast delivery has a positive effect on sustainable logistics growth. Increase in fast delivery increases the sustainable logistics growth. Moreover, accidental management also has a positive effect on sustainable logistics growth. Better accidental management has a positive role to enhance sustainable logistics growth. Additionally, top management also shows a positive role in sustainable logistics growth.

Impact assessment of electric vehicles as curtailment mitigating mobile storage in high PV penetration grid

Electric vehicles are seen as a potential solution in reducing the fossil fuel dependence of the transport sector and could also serve as secondary storage for renewable energy. This study aims to clarify the role of EV in managing curtailment in electricity grid with high PV penetration. An energy balance analysis was conducted to assess the impact of various EV adoption rates and PV capacity growth rates on curtailment throughout a 10-year planning period. Results show that EV as mobile storage has a significant impact in reducing curtailment. In the case of Kyushu, Japan, the analysis showed that 20 GWh was sufficient by 2031. It will require 300,000 to 570,000 electric vehicles as mobile storage to reach this capacity, depending on the combinations of EV classes used. Additional capacity will only benefit spring and autumn, which does not merit an increased target due to the low capacity factor. Following the logistics growth model, the current adaption rate is insufficient to reach target volume, and external support will be necessary. EV as mobile storage can keep the curtailment to around 10%–15% but has less impact initially; thus, stalling the additional capacity until sufficient EV capacity is available might be necessary to keep the curtailment below 10%. Overall, EV as secondary storage is ideal for regions experiencing PV curtailment, and cars are only used for specific activities.

English

Logistics systems are inexplicably linked to trade and investment, and their significance in describing a country’s competitiveness in an increasingly globalized world is growing. Improved trade logistics, in conjunction by a way of more economic liberalization climate, increased volume and size of trade, as well as reach in distribution and production activities. With careful reviews, the study discussed a meta-synthesis of trade logistics influence on international trade where about twenty-two papers across publishers were analyzed to observe their findings. According to several reports, the availability and consistency of physical infrastructure for effective transportation and logistics services, regulations, poor implementation, procedures, corruption at ports, and cargo handling costs all got a significant influence on a trade and competitiveness performance of the Nation. In order to meet consumer demand, exporting companies could develop reverse logistics systems while focusing on sustainable development. However, to make the understanding of the level of logistics of trade impacts on international trade, the response of logistics growth in international trade requires more in-depth research.   Keywords: Trade logistics, meta-synthesis, international trade, sustainable development, transportation, logistics performance.

Studying ModernDecline Curve Analysis Models for Unconventional Reservoirs to Predict Performance of Shale Gas Reservoirs

Among different reservoir forecasting methods, the decline curve method stands as the simplest, least time-consuming, and least data requirement method. This is more proper for tight and unconventional reservoirs. Production from these unconventional reservoirs has grown dramatically around the world for the past few years. In this study, decline curve models that are developed to predict the performance of Unconventional Reservoirs are studied, analyzed, applied, and validated for different reservoir scenarios, some of them are simulated data that present different scenarios of flow regimes (4-cases) others are Field data for shale unconventional reservoirs. The models used in this thesis along with Arps Model are: • Stretched Exponential Decline Production Decline (SEPD). • Logistics Growth Model (LGM). • Duong’s Model. • Power Law Exponential Decline (PLE). Each model has its own parameters and equations. The main aim to select the best applicable model/s in terms of the simplicity of application, degree of fit, and accuracy of EUR calculation. In addition, these methods are compared at various production times to investigate the effect of production time on prediction performance. As a part of the validation process, all methods are benchmarked against simulation. This work shows that all the methods predict various recovery and some fit certain simulation cases better than others. In addition, no single method could predict EUR precisely without reaching BDF. Using this work, engineers could select the best applicable model to predict EUR after identifying the simulation case that is most analogous to their field wells.

Sektor Transportasi pada Angkutan Barang dalam Pertumbuhan Ekonomi di Indonesia

The purpose of the study is to obtain empirical evidence about the impact between Freight Volume and Growth Domestic Product in Indonesia using time series data from 2008 to 2018. The Freight Volume data (using train or rail, sea, and air) as the logistics variable and Growth Domestic Product (GDP) as the variable of economic growth. The study was using the analysis of Simple Linear Regression. The results are (a) the rail freight volume has positive and significant effect on GDP of 0,835 or 83,5% and 16,5% are from other unexamined factors, (b) the sea freight volume has no impact on GDP of 0,444 or 44,4% and 55,6% are from other unexamined factors, and (c) the air freight volume has positive and significant effect on GDP of 0,580 or 58% and 42% from other unexamined factors.

Dynamics of Bitcoin trading on the Binance cryptocurrency exchange

Currently, there are a great number of platform-projects and frameworks based on blockchain technology. Consequently, it is necessary to define the most relevant blockchain platforms and analyze them taking into consideration a variety of features. Also, there is a need to investigate the logistics growth and the price of Bitcoin on the Binance cryptocurrency exchange. The authors have examined modern technologies used by manufacturing companies in the field of fintech in the context of the 2019-2024 period. The results show that sensors and automatic identification take the leading position both at present and in 2024. Aartificial intelligence and blockchain are also in demand by manufacturers today, however in the nearest future their ranking positions will increase sixfold from 10% to 60%. In the current paper the authors review the largest companies that effectively use blockchain technology in their businesses. The conducted survey shows that 18% of companies use blockchain technology based on Bitcoin. The authors have analysed a number of Bitcoin transactions for the period from January 2017 to February 2021 and concluded that the COVID-19 pandemic has had a favourable effect on the indicator data. A maximum number of transactions equal to 10.15 million was carried out in July 2020. Using the method of the Ordinary Least Squares (OLS) and statistical estimation methods the authors have revealed an underestimation of the equilibrium state of the empirical distribution of price data and the volume of daily trading of Bitcoin on the Binance cryptocurrency exchange through the channel of the right-hand confidence interval. The blockchain technology based on Bitcoin has positively reacted to the macroeconomic factors such as the COVID-19 pandemics and further growth in Bitcoin transactions is expected. With the help of economic modelling, the authors have defined the predictable volume and the price of Bitcoin on the Binance cryptocurrency exchange.

Catching-up effects in the logistics industry and the dynamic linkages with international trade and economic growth: empirical evidence from an international panel dataset

We analyze the dynamic linkages among Logistics, Trade and Economic Growth for a panel of 39 countries over the period 2007-2018. In particular, we investigate whether these countries exhibit the tendency to catch up, in terms of logistics performance, with the leader country, using methodologies of “convergence analysis” appropriate for the notions of stochastic convergence and β-convergence and perform Granger-causality tests among a catching up variable (the LPI of each country relative to the LPI of Germany), Trade Openness and economic growth. The findings reveal rather weak evidence of catching-up effects with Germany. As far as causality is concerned, trade and economic growth further enhance the global tendency in logistics performance to catch-up with the dominant Germany while convergence in logistics is found to directly support economic growth but not trade.

Local Dynamics of an SVIR Epidemic Model with Logistic Growth

Discussion of local stability analysis of SVIR models in this article is included in the scope of applied mathematics. The purpose of this discussion was to provide results of local stability analysis that had not been discussed in some articles related to the SVIR model. The SVIR models discussed in this article involve logistics growth in the vaccinated compartment. The results obtained, i.e. if the basic reproduction number less than one and m is positive, then there is one equilibrium point i.e. E0 is locally asymptotically stable. In the field of epidemiology, this means that the disease will disappear from the population. However, if the basic reproduction number more than one and b1 more than b, then there are two equilibrium points i.e. disease-free equilibrium point denoted by E0 and the endemic equilibrium point denoted by E1*. In this case the endemic equilibrium point E1* is locally asymptotically stable. In the field of epidemiology, this means that the disease will remain in the population. The numerical simulation supports these results.