Logistics Growth Research Articles

Associations Between Logistics and Economic Growth in Africa

AbstractDespite macro‐economic predictions of economic catch‐up and steady‐state economic growth for all countries, in the long run, the gap between advanced and developing African countries is widening. This study investigates the association between logistics and economic growth in 32 African countries from 2007 to 2018. The results show that five of the six logistics performance indicators, under review, have weak positive economic growth effects, ranging between 0.01 and 0.03. Relatively high economic growth effects emerge from the “competence and quality of logistics” indicator. This research highlights that the growth potential in African countries depends on improvements in logistics performance and that prioritising investments to improve logistics efficiency can improve long term growth and development in Africa. Practitioners and policymakers can use the results of this study to target and prioritise specific logistics indicators based on the magnitude of their impact on economic growth.

Analysis of Transport and Logistics Education Regulations and Economic Development in Nigeria

Transport and logistics education capacity development and growth are very vital to redressing the pervasive chaotic transportation scene in many developing countries, including Nigeria and needed to stimulate socio-economic development of the countries. The paper looks at impact of Transport and Logistic education trend on the economy of Nigeria by relating the available institutions of the discipline in the country to some basic indicators of development such as the logistics performance index, gross domestic product nominal, gross domestic product per capital and Human Development Index. The conventional correlation analysis is used to establish the relationship among the variables for 10 year period with a view to understanding the growth in the graduates of the disciplines and the institutions that offer the programmes in relation to the economic growth and development of the country. The findings show that there is positive relationship among indices of economic development, however reveal negative but significant relationship between graduates and Institutions of Logistics and Transport, indicating that training is very important to the development of the country. It further shows that most Logistics and Transport firms do not place premium on the certification and qualification of employees with transport and logistics certificate background, hence recruited more people without Logistics and Transport knowledge/skills background. The paper advocates for more efforts to sustain the trend in getting more institutions offering transport and logistics graduate programmes to address the human capacity gap in the discipline and profession in the country and its economic growth and development.

Studying the sustainability of third party logistics growth using system dynamics

PurposeIn this Industry 4.0 era, third-party logistics (3PL) industries face huge cost pressure to deliver their service. With increase in competition among the players, constant mergers and acquisitions (M&A) have been taking place to sustain competitive advantage. Therefore, this study aims to investigate the growth dynamics among the 3PL service providers.Design/methodology/approachIn this research, the system dynamics methodology was applied to the study of the growth of 3PL industry in Singapore. A population growth model incorporating the predator–prey interaction is developed to account for growth through M&As among 3PLs and their interaction phenomenon are modeled through modified Lotka–Volterra method. The two-species system model consisting of small and medium logistics service providers (SMLSPs as the prey) and the lead logistics providers (LLPs as the predator) are gauged according to the firm size.FindingsResults from the baseline model indicates that Singapore’s logistics industry looks very optimistic for SMLSPs for another 6 years from 2018, while the LLP population will achieve a peak at about 12 years from 2018. Further sensitivity analysis through macroeconomic and microeconomic changes reveals increase in trend of M&As. By varying competitive pressures between firms, results indicate that the LLP population experiences a decreasing rate of increasing SMLSP population falls.Research limitations/implicationsThe research provides guidance for logistics and supply chain managers to better understand the critical factors that impact and determine competitive dynamics. The paper further recommends managers to build sustainable logistics strategies to retain competitive advantages.Originality/valueThe research contributes to both economic and social dimensions of logistics sustainability of how resilient the industries are during uncertain conditions. Some of the limitations of this research include the geographic coverage of the study region and other methodological aspects. The research value thus helps policymakers for developing strategic policies for sustainable industrial growth.

Logistics performance, exports, and growth: Evidence from Asian economies

The goal of this paper is to determine whether the validity of the export-led growth (ELG) hypothesis is contingent on logistics performance in Asia. The study relies on balanced panel data of 23 Asian countries over the period 2010 to 2016. Our findings show that the export-led growth hypothesis is valid in all the countries examined. Furthermore, and more significantly, the logistics sector performance is found to be an important enabler to trade. Therefore, economic growth in Asia is found to be conditional on the logistics performance level in the countries examined. Hence, from a policy perspective, investment in logistics infrastructure should be considered as an area of investment with the greatest possible benefits that has supreme returns for future growth in our selected countries. Finally, our results show that logistics heterogeneity among countries examined may be an explanation for the previously reported mixed results of earlier studies examining the validity of the ELG hypothesis in Asian countries.

Study on Natural Organic Materials as Biofilm Carriers for the Optimization of Anaerobic Digestion

Increased Methane productivity and organic matter removal efficiency in anaerobic digestion can be achieved by retaining microbial consortia inside the reactors using biofilm carriers. In this study, the performance of anaerobic reactors was assessed using natural organic materials i.e. luffa sponge, coconut husk fiber and wood chips as biofilm carriers. Anaerobic batch mode bioreactors comprising of carrier materials for biofilms and control bioreactor were run in parallel at mesophilic temperature (35 °C). Methane content, biogas yield, pH, volatile solids, chemical oxygen demand, VFA/alkalinity ratio and total organic carbon was measured before and after the experiment. Scanning electron microscopy was used to identify the morphology of the methanogenic bacteria present in the biofilms. Maximum methane concentration and volatile solids removal efficiency was obtained from luffa sponge reactor i.e. 77.7% and 82.6% respectively. Furthermore, determination of biokinetic parameters lag phase (ʎ) and production rate (Rm) was also performed using three kinetic models i.e. Modified Gompertz Model, Logistics growth model and Transference function model. Among the kinetic models, logistics growth model and modified Gompertz model provided the best fit with the experimental data providing the R2 of 0.989 and 0.975 respectively.

DETERMINANTES DA PERCEPÇÃO DOS INDIVÍDUOS ACERCA DE SEUS PRÓPRIOS ESTADOS DE SAÚDE

O objetivo deste trabalho é analisar a percepção que os indivíduos brasileiros têm acerca de seu próprio estado de saúde, dados os diferentes aspectos individuais. Neste caso, as variáveis explicativas são o nível de renda, o sexo, a raça, a idade, a ocupação e as doenças crônicas de cada indivíduo. Este estudo é feito de forma empírica, com base na Pesquisa Nacional por Amostra de Domicílios (PNAD) de 2008. Primeiro, faz-se uma análise de concentração das causas relacionadas ao bom estado de saúde, derivando a decomposição dos índices de Theil T e a taxa bruta de contribuição. O segundo passo é estimar um modelo probabilístico com as variáveis explicativas sobreditas e a variável dependente definida como a autoavaliação acerca do bom estado de saúde. Os resultados dos índices de Theil mostraram que algumas características são concentradas naqueles indivíduos que se dizem estar em mau estado de saúde, tais quais o fato desse ser mulher e não ser contribuinte de nenhum fundo de previdência. Algumas doenças também se mostraram concentradas nesses indivíduos, como hipertensão, diabetes e depressão. Os resultados do modelo probabilístico (efeitos marginais), por sua vez, reforçam o fato dos indivíduos portadores de doenças crônicas terem uma má percepção acerca de seus estados de saúde e a incapacidade da renda explicar tal percepção. Além disso, quanto maior o grau de escolaridade, maior a sensação do indivíduo de estar em bom estado de saúde. Portanto, políticas públicas relativas à prevenção de doenças crônicas, à priorização dos idosos, à melhoria na estrutura de logística e ao crescimento do nível educacional são indicadas para melhorar a sensação do indivíduo de estar em um bom estado de saúde.

“This Port Is Killing People”: Sustainability without Justice in the Neo-Keynesian Green City

This article examines how regional policymakers in Southern California deployed a green growth strategy that cemented racial, environmental, and class precariousness into the region's ecological fabric. It uses participant observation and extant data to show how environmentalist statecraft provided ideological cover for a type of neo-Keynesian logistics growth regime that used infrastructure spending to stimulate the economy without addressing underlying issues of racial, economic, and environmental justice. Urban political ecology and racial capitalism are used as theoretical frameworks to stretch the boundaries of how sustainability is conceptualized and to challenge assumptions behind a green capitalism framework. Finally, the article examines how labor and environmental justice activists used what Sze et al. (2009, 836) called “cultural and ecological discourses” to challenge the green capitalist agenda by incorporating subaltern spatial imaginaries.

Logistics scale agglomeration and operational efficiency of central city clusters

With the rapid logistics development, agglomeration and efficient operation of logistics industry have become a widespread concern. In China, the central region can better represent China’s overall development status. But researches on city cluster logistics have been insufficient. Thus, this paper provides quantitative evaluations of central city cluster logistics development, taking 2007-2013 dynamic data for analysis basis, analyzes central city cluster logistics scale characteristics based on logistics agglomeration by HHI index, and reveals that logistics growth pole of central city clusters is not obvious; then, it analyzes central city cluster operation quality characteristics based on logistics efficiency with DEA model, indicating that central city logistics efficiency maintains ineffective DEA; finally, it proposes relevant suggestions which can serve as reference for similar development regions.

Increasing Financial Health Stability Of Logistics Companies: A Thailand Case

The purposes of this paper are 1) to develop model of long term financial health for logistics companies in Thailand 2) to identify factors that determine long term financial stability. Many researchers currently provide factors affecting financial health. Most factors refer to financial ratios, not many non-financial ratios such as age and size have been mentioned. This paper considers both financial and non-financial ratios that affect financial performance of Logistics companies in Thailand. The study has covered some interesting non-financial ratios such as Nationality of Shareholders, type of network in Logistics Company, growth rate (consisted of sales growth rate/profit growth rate/asset growth rate / Liability growth rate) and variable of growth rates. The target group is 110 logistics companies in Thailand enlisted from Department of International Trade Promotion Ministry of Commerce, Royal Thai Government. The group is divided into three categories according to financial health of company; Healthy financial, Unhealthy (Distress) and normal situation. The Multidiscriminant Analysis (MDA) is applied to analyze the differentiations among the three categories. Significant variables from MDA will be used as the independent variables for Multimonial Logistic Regression Analysis (MLRA) to identify factors that determine long terms financial stability. This paper find CF/D, RE/TA, BE/TL, Size, Age, Type of network, Nationality of Shareholders and Number of Shareholders are significant factors determine long term financial stability of Logistics company in Thailand.

Increasing Financial Health Stability Of Logistics Companies : A Thailand Case

The purposes of this paper are 1) to develop model of long term financial health for logistics companies in Thailand 2) to identify factors that determine long term financial stability. Many researchers currently provide factors affecting financial health. Most factors refer to financial ratios, not many non-financial ratios such as age and size have been mentioned. This paper considers both financial and non-financial ratios that affect financial performance of Logistics companies in Thailand. The study has covered some interesting non-financial ratios such as Nationality of Shareholders, type of network in Logistics Company, growth rate (consisted of sales growth rate/profit growth rate/asset growth rate / Liability growth rate) and variable of growth rates. The target group is 110 logistics companies in Thailand enlisted from Department of International Trade Promotion Ministry of Commerce, Royal Thai Government. The group is divided into three categories according to financial health of company; Healthy financial, Unhealthy (Distress) and normal situation. The Multidiscriminant Analysis (MDA) is applied to analyze the differentiations among the three categories. Significant variables from MDA will be used as the independent variables for Multimonial Logistic Regression Analysis (MLRA) to identify factors that determine long terms financial stability. This paper find CF/D, RE/TA, BE/TL, Size, Age, Type of network, Nationality of Shareholders and Number of Shareholders are significant factors determine long term financial stability of Logistics company in Thailand.

An Empirical Investigation of Performance of Logistics and Economic Growth Nexus in Sub-Saharan Africa: Panel Data Approach

The paper investigates the Performance of logistics and economic growth nexus in Sub-Saharan Africa. Accordingly, it is conducted using a panel data analysis on the basis of 19 sub-Saharan African countries from 2007 to 2014. Though the performance of Logistics is in its grass root level, it brings a meaningful change on economic growth. Inflation has a significant and negative effect on growth. However, financial development, proxied by private credit and broad money supply, is insignificant. The result confirms continues human development and an efficient, liberalized and well developed financial system are needed to bring rapid economic growth.

Relationship between Logistics and Economic Growth on the Silk Road Economic Belt—Taking Xi’an as an Example

The government attaches great importance to “The Silk Road Economic Belt”, especially the role of logistics that influences economic growth. This paper selects the data of transportation investment and economic growth in Xi’an from 1993 to 2013. And I use the Unit root test, the VAR model and the Granger causality test. The research results show that the economic growth has caused the development of the logistics industry.

Intermodal Transport as a Regional Development Strategy: The Case of Italian Freight Villages

AbstractThis paper examines the development of intermodal transport operations at freight villages in Italy. Quantitative data on public and private investment and ownership in each of the 25 Italian freight villages are analysed to identify relevant issues, which are then explored through five qualitative case studies. The research considers how intermodal transport stimulation links national modal shift policy with regional economic development strategies based on the promotion of logistics growth. The research identifies a misalignment between national and regional scales, as funding based on national policy does not align with port and freight village planning strategies developed at the regional level. From an operational perspective, this misalignment is exacerbated by the often adversarial relations between ports and intermodal terminals, in addition to the fragmented nature of the Italian freight sector. Even with a national policy to promote freight villages with intermodal terminals and a dedicated funding stream to support this network of approved sites, operational issues mean that establishing intermodal shuttles remains a difficult and marginal enterprise, particularly in the case of southern Italy due to its location on the periphery of intra‐European freight flows.

Estimation of Hydrogen-Exchange Protection Factors from MD Simulation Based on Amide Hydrogen Bonding Analysis.

Hydrogen exchange (HX) studies have provided critical insight into our understanding of protein folding, structure, and dynamics. More recently, hydrogen exchange mass spectrometry (HX-MS) has become a widely applicable tool for HX studies. The interpretation of the wealth of data generated by HX-MS experiments as well as other HX methods would greatly benefit from the availability of exchange predictions derived from structures or models for comparison with experiment. Most reported computational HX modeling studies have employed solvent-accessible-surface-area based metrics in attempts to interpret HX data on the basis of structures or models. In this study, a computational HX-MS prediction method based on classification of the amide hydrogen bonding modes mimicking the local unfolding model is demonstrated. Analysis of the NH bonding configurations from molecular dynamics (MD) simulation snapshots is used to determine partitioning over bonded and nonbonded NH states and is directly mapped into a protection factor (PF) using a logistics growth function. Predicted PFs are then used for calculating deuteration values of peptides and compared with experimental data. Hydrogen exchange MS data for fatty acid synthase thioesterase (FAS-TE) collected for a range of pHs and temperatures was used for detailed evaluation of the approach. High correlation between prediction and experiment for observable fragment peptides is observed in the FAS-TE and additional benchmarking systems that included various apo/holo proteins for which literature data were available. In addition, it is shown that HX modeling can improve experimental resolution through decomposition of in-exchange curves into rate classes, which correlate with prediction from MD. Successful rate class decompositions provide further evidence that the presented approach captures the underlying physical processes correctly at the single residue level. This assessment is further strengthened in a comparison of residue resolved protection factor predictions for staphylococcal nuclease with NMR data, which was also used to compare prediction performance with other algorithms described in the literature. The demonstrated transferable and scalable MD based HX prediction approach adds significantly to the available tools for HX-MS data interpretation based on available structures and models.

Analyzing the effects of economic factors on modeling the diffusion of foreign exchange earnings from tourism in Taiwan

While promoting the country’s tourism industry, governments devote significant resources to support the overall economy. In other words, nations’ macroeconomic factors play an important role in governments’ development of tourism industry. This research note focuses on the effects of economic factors that influence the development of tourism industry and foreign-exchange earnings from tourists in Taiwan using a logistics growth curve. The empirical results show that the logistics growth curve has high explanatory power and that macroeconomic factors (gross domestic product and exchange rate) have significant effects on foreign-exchange earnings from tourists. This research note’s contribution to understanding foreign-exchange earnings from tourism lies in the evidence it provides that the logistics growth curve can help in the estimation of expected average consumption per tourist in the longer term.

Efficiency Evaluation Between Port Logistics and Economic Growth by DEA: A Case Study of Zhejiang Province

Efficiency Evaluation Between Port Logistics and Economic Growth by DEA: A Case Study of Zhejiang Province

The Study of Dynamic Effect Relationships between the E-Commerce, the Logistics and Economic Growth Based on the VAR Model

The Study of Dynamic Effect Relationships between the E-Commerce, the Logistics and Economic Growth Based on the VAR Model

A comparison between continuous exponential, discrete logistics and continuous logistics growth models in forecasting birth rate of newborn in Malaysia

This research develops techniques which are helpful in forecasting birth rate of male and female newborn in Malaysia. The techniques used in this study are Continuous Exponential, Discrete Logistics and Continuous Logistics Growth models. For the purpose of this study, secondary data of Total Birth Rate in Malaysia obtained from National Population and Family Development Board (NPFDB) Malaysia covering the period 1995 up to 2009 was used. From the result, it was found that Continuous Logistics model is the best model to forecast the birth rate of newborn in Malaysia since it has the lowest SSE values which are 598.462 for male and 392.8738 for female. Keywords : Mathematical Modeling, Exponential Growth, Logistics Growth, Logistics Continuous Growth, Birth Rate, Malaysia.

Analysis of the Relationship Between QinHuangDao Port Logistics and Economic Growth

Analysis of the Relationship Between QinHuangDao Port Logistics and Economic Growth

Logistics and economic growth: a panel data approach

Logistics system has been increasingly recognized as one of the important driving forces for economic growth. This paper investigates the long-run relationship between logistics investment and economic growth, using a dataset covering 30 provinces over the period from 1998 to 2007 in China. Conditional convergence model with dynamic panel data approach is employed, and the results of System-GMM estimations show a significant and positive impact of logistics investment on regional economic growth in China, controlling for a number of other factors. Considering the immense inequality of regional economic development in China, a comparative analysis of regional economic growth between coastal provinces and interior provinces is also conducted. The results suggest that interior provincial incomes as a system tend to converge, while there is no evidence supporting the convergences of coastal provincial incomes. The findings also show that the contributive role of logistics investment is greater for undeveloped interior provinces than for coastal provinces.