Postal Industry Research Articles

Toward the Construction of a Sustainable Society: Assessing the Temporal Variations and Two-Dimensional Decoupling of Carbon Dioxide Emissions in Anhui Province, China

This study comprehensively assessed carbon dioxide emissions over a span of two decades, from 2000 to 2020, with the decomposition and decoupling analyses considering multiple influence factors across both short-term and long-term dimensions. The results revealed great fluctuations in the decoupling analysis index (DAI) for subjected sectors such as natural resource processing, electricity, gas, water, textiles, machinery, and electronics manufacturing. Of note, significantly changed sectoral DAIs were observed in urban traffic and transportation, logistics warehousing, and the postal industry within Anhui Province. In contrast, the DAIs of other sectors and social services exhibited a weak decoupling state in Anhui Province. The industrial sectors responsible for mining and textiles and the energy structure encompassing electricity, gas, and water emerged as the primary contributors to carbon dioxide emissions. Additionally, the efficiency of the socio-economic development (EDE) was identified as the principal driver of carbon dioxide emissions during the observed period, while the energy consumption intensity (ECI) served as the putative crucial inhibiting factor. The two-dimensional decoupling of carbon dioxide emissions attributable to the EDE demonstrated a gradual transition from industrial sectors to buildings and tertiary industries from 2000 to 2020. In the future, the interaction between urban carbon dioxide emissions and the socio-economic landscape should be optimized to foster integrated social sustainable development in Anhui Province.

중국 택배기업의 서비스 품질이 고객만족도와 지속사용의도에 미치는 영향에 관한 연구

As an important part of the postal industry after the reform and opening up, Chinese courier services have made rapid development. However, there are also problems with the development of Chinese courier companies, such as uneven service quality and difficulty in protecting the rights and interests of users. With the increasingly explosive development of e-commerce such as C2C, problems are increasing along with the rapid development of the courier industry. Whether it is the final stage of online marketing and distribution or the service industry, the overall service quality of the courier industry has declined. For example, consumer complaints have increased and netizens have complained. As consumers’ rights protection consciousness is strengthened, one of the ways to increase customer satisfaction is to improve the quality of service of the company and increase the customer’s intention to continue using it.

Can industrial co-agglomeration improve carbon emission efficiency? Empirical evidence based on the eastern coastal areas of China.

The goal of "carbon peak and carbon neutrality" is the key to coping with global warming and achieving high-quality development. Producer services and manufacturing co-agglomeration (Coagglo) is an important path to achieve low-carbon development. Therefore, the relationship between industrial co-agglomeration and carbon emission efficiency (CEE) needs to be discussed. Based on the panel data of 114 cities along the eastern coast of China from 2006 to 2021, this study uses a panel quantile regression model and dynamic spatial Durbin model to evaluate the impact and spatial effect of Coagglo on CEE. The results show that there is a nonlinear relationship between Coagglo and CEE. When it exceeds the 50th quantile, the degree of influence decreases slightly, but it still shows a significant positive correlation. When considering industry heterogeneity, we find that the co-agglomeration of warehousing and postal industry (TRA) and manufacturing has the most significant impact on CEE, while the co-agglomeration of leasing and commercial service industry (LEA) and manufacturing has the least impact on CEE. Regional heterogeneity shows that the Coagglo has a greater impact on carbon emission efficiency in the northern region than in the southern region. In addition, Coagglo promotes the spillover of knowledge and technology and has a positive spatial spillover effect on CEE. This conclusion provides a theoretical reference for carbon emission reduction in eastern coastal areas of China.

The Relationship between Service Economy and Carbon Emissions in Jiangsu Province China and the Influencing Factors

Aims: G20 leaders Riyadh put forward the approval of the carbon reduction, reuse, recycling and elimination (4R) framework at the 2020 Summit. In order to achieve carbon peak and carbon neutrality, promote the development of low-carbon economy, China is striving to build a new high-efficiency low-carbon market.
 Study Design: Taking the service industry in Jiangsu Province as the research object.
 Place and Duration of Study: long-term interactive relationship between the carbon emissions of the service industry in Jiangsu Province China and its economic development, from 2005 to 2022.
 Methodology: Through the vector autoregressive model (VAR) and Granger causality test. Then, five variables affecting the carbon emissions of the service industry are selected: the level of science and technology, the development of transportation, storage and postal industry, energy efficiency, industrial structure and tourism development.
 Results: As influencing factors, through the least squares method (OLS) analysis, it is found that the factor that has the greatest impact on the carbon emissions of the service industry in Jiangsu Province is the industrial structure, followed by the development of tourism and transportation, storage and postal industry.
 Conclusion: It is proposed to promote scientific and technological innovation and technological progress from many aspects, improve the scientific and technological innovation system of tourism, accelerate the upgrading of industrial structure, improve the efficiency of transportation, storage and postal industry, promote the formation of a benign interactive relationship between the development of the service industry and carbon emissions in Jiangsu Province and illustrate how the service industry can develop with high quality while saving energy and reducing emissions.

GOVERNMENT, STATE-OWNED ENTERPRISE, and LIBERALIZATION of UNIVERSAL POSTAL OBLIGATION SERVICES

This study aimed to examine the extent to which the relationship between the government and state-owned enterprise (SOE) hinders the achievement of the liberalization of universal postal obligation (UPO) services. This study motivated the failure of postal industry reforms and the performance improvement of PT Pos Indonesia (the Indonesian postal SOE). A case study method is selected to expand the existing path dependency theory. The development of postal services was reconstructed using path dependence, which also revealed the nature of relationships between the government and SOEs, and the barriers to the success of liberalization and performance improvement. Through this method, the theoretical approach is expanded. This study demonstrates how the historical need to perform socio-political functions has produced high dependence, reciprocal dependence, and mutual advantages between the government and SOE, which have hindered the company’s ability to be lucrative and effective. The cause of SOE’s poor performance and inefficiency occurs when the company is required to execute UPO services. This study added to the body of knowledge and improved government policy. These study implications are anticipated to offer border knowledge and comprehension of the vital responsibilities that USOs and subsidies play in the community.

The risk spillover of high carbon enterprises in China: Evidence from the stock market

This paper examines the time-varying risk spillover among high carbon enterprises by constructing Granger-causality networks from 2011 to 2021, and explore the types of high carbon enterprises that have stronger risk spillover capabilities. Additionally, we also expanded our analysis on the risk spillovers from high carbon enterprises to non-high carbon enterprises. We find that the intensity of risk spillover among high carbon stocks strengthened from 2013 to 2016, then weakened, and slightly re-strengthened in 2020. High carbon enterprises from power, steel, aviation, and petrochemical industries occupy central positions in the networks. Moreover, fundamental factors such as asset scale, profitability, capital structure, ownership, and industry category significantly influence the connectivity and centrality of high carbon enterprises in the networks. Meanwhile, the high carbon enterprises with higher connectivity and central location in the networks have greater systemic risk contributions. Finally, we find that the non-high carbon enterprises from agriculture, forestry, animal husbandry and fishery industry, mining industry and transportation, warehousing and postal industry are more susceptible to the risk overflow from high carbon enterprises.

The Impact of Digital Economy on Circulation Efficiency: Empirical Evidence from China's Postal Industry

With the rapid development of digital technology, the traditional economic operation mode has been completely changed. Digital economy has become a new driving force for world economic growth. In the context of the new development model, accelerating the development of digital economy, deepening circulation reform and improving circulation efficiency have important theoretical and practical significance for stabilizing the national economic cycle. In order to explore the influence of the development of digital economy on the efficiency of circulation industry, this paper firstly expounds the basis of dividing the circulation industry from the theoretical level based on Marx's circular economy theory, and puts forward the mechanism of the influence of digital economy on the circulation efficiency. The DEA-Malmquist model is used to calculate the productivity of the total factors of the postal industry to represent the circulation efficiency. The regression results show that the development of digital economy has significantly improved the circulation efficiency of China's postal industry.

Assessing Servqual As A Success Factor of Pudo’s Implementation at Pedi Centres in Sabah

The rapid growth of digitalization has transformed the nature of business nowadays. The tremendous changes also include the business support system such as courier service and postal industry. In supporting the digitalization transformation, the Malaysian government has suggested various innovations, including in the courier service and postal industry, such as implementing PUDO at PEDi centre. It is crucial to identify the consumer's perception of the courier service quality to ensure success in implementation. The awareness of the potential customers of this new alternative will accelerate the adoption stage of the changes. Besides, the promptness, accuracy, safety, convenience and tangibles will identify the customers' satisfaction and acceptance of the new alternative. To demonstrate the importance of perceived service quality and its dimensions in the context of PUDO implementation in Sabah, this research will involve 150 respondents from courier service and postal users in Sabah . Quantitative methods will be adapted, and a survey form will be used to gather the data. The data will be analyzed by using PLS-SEM. The findings of this research will lead to the promoting and hindering factors of PUDO implementation at PEDi in Sabah. It also can be a successful framework for the service provider to succeed in Sabah.

Selection and Optimization of Regional Economic Industrial Structure Based on Fuzzy k-Means Clustering Algorithm.

Learning about the regional business model is essential for the sustainable development of the regional economy. From the perspective of urban renewable energy, city A is the product of energy development. This paper analyzes the current situation and existing problems of the industrial model of city A through fuzzy k-means clustering algorithm. The results show that although the optimization of industrial structure in city A has achieved some results, the more intuitive problems mainly include low labor productivity of the primary industry, strong resource dependence, insufficient extension of industrial chain, and slow development of technology intensive industries. This paper uses fuzzy k-means clustering algorithm to select the leading industries from the perspective of the current situation of leading industries, urban development pattern, and regional policies in city A. The results show that, as a renewable resource-based city, the leading industries suitable for the current development of city A include manufacturing, power, alkali gas and water production and supply, transportation, warehousing and postal industry, leasing, and business services. The results of fuzzy k-means clustering algorithm are quite excellent, and the accuracy rate is 93.3%. This paper uses the grey dynamic linear programming model to predict the future development of the Urban A business model and combines the selection of key functions to obtain the best business model: deep and efficient technical equipment as a good goal, achieved through regional logistics, transportation, new services, etc., to enhance the output value of the tertiary industry in city A and optimize the internal structure of the secondary industry in city A.

A novel fractional grey forecasting model with variable weighted buffer operator and its application in forecasting China's crude oil consumption

Oil is an important strategic material and civil energy. Accurate prediction of oil consumption can provide basis for relevant departments to reasonably arrange crude oil production, oil import and export, and optimize the allocation of social resources. Therefore, a new grey model FENBGM(1,1) is proposed to predict oil consumption in China. Firstly, the grey effect of the traditional GM(1,1) model was transformed into a quadratic equation. Four different parameters were introduced to improve the accuracy of the model, and the new initial conditions were designed by optimizing the initial values by weighted buffer operator. Combined with the reprocessing of the original data, the scheme eliminates the random disturbance effect, improves the stability of the system sequence, and can effectively extract the potential pattern of future development. Secondly, the cumulative order of the new model was optimized by fractional cumulative generation operation. At the same time, the smoothness rate quasi-smoothness condition was introduced to verify the stability of the model, and the particle swarm optimization algorithm (PSO) was used to search the optimal parameters of the model to enhance the adaptability of the model. Based on the above improvements, the new combination prediction model overcomes the limitation of the traditional grey model and obtains more accurate and robust prediction results. Then, taking the petroleum consumption of China's manufacturing industry and transportation, storage and postal industry as an example, this paper verifies the validity of FENBGM(1,1) model, analyzes and forecasts China's crude oil consumption with several commonly used forecasting models, and uses FENBGM(1,1) model to forecast China's oil consumption in the next four years. The results show that FENBGM(1,1) model performs best in all cases. Finally, based on the prediction results of FENBGM(1,1) model, some reasonable suggestions are put forward for China's oil consumption planning.

The decline of mail: postal industry decision-makers’ interpretations in the aftermath of the financial crisis

La première décennie des années 2000 a été marquée par la libéralisation, la transition numérique et le déclin des volumes de courrier dans le secteur postal européen. Elle s’est terminée par la crise financière mondiale de 2007-2008. À l’aide de la théorie du cadrage, nous explorons la manière dont les décideurs ont interprété ces changements et réagi à ceux-ci. À cet effet, nous livrons une analyse du contenu de la série de livres The Future is in the Post , une collection unique d’essais rédigés, au cours de la période 2010-2012, par plus de 70 leaders d’opinion et de décideurs du secteur postal. Nous concluons sur la façon dont ces manières de percevoir les tendances de cette époque ont influencé les prises de décisions stratégiques des opérateurs postaux qui en ont résulté.

Study on fuzzy comprehensive evaluation of integrated development of transportation and postal service in Hunan Province

Based on the data collection of Hunan Province, this paper uses SPSS software to analyze the correlation between the data of the two industries, and concludes that the development of the two industries presents the characteristics of integration. According to the characteristics of the integrated development system of the two industries, the analytic hierarchy process (AHP) was selected, and four evaluation indexes were selected from the development direction with higher integration degree of the communication and postal services. By calculating the weights of the four indexes, the comprehensive development evaluation system was established. According to the established index system and the fuzzy comprehensive evaluation method, the scoring results of the four indexes are calculated to provide countermeasures and suggestions for the integrated high-quality development of transportation and postal industry in Hunan Province

Study on tax burden calculation and risk allocation for industries in free trade zones

The existence of tax burden outlier of industries will hinder the sustainable development of the regional economy. By calculating the tax burden of 3,585 enterprises in 11 industries in China (Zhejiang) Pilot Free Trade Zone, we find that there are six industries with abnormal tax burden, namely, the construction industry, transportation, the warehousing and postal industry, information transmission, software and the information technology service industry, the financial industry, the real estate industry, and the leasing and business service industry. Based on the semi-parametric time-varying model, we changed the time variable into the industry variable, and studied the mutual influence of the tax burden of each industry under the control variables of actual tax burden and employment number respectively and jointly driven. Considering the control variable as the formulation of tax policy, we can calculate the interaction and fluctuation range of each industry tax burden under different tax policies. According to this result, the tax burden risk of six industries with tax burden outlier is allocated.

Development of a Technology and Digital Transformation Adoption Framework of the Postal Industry in Southern Africa: From Critical Literature Review to a Theoretical Framework

Development of a Technology and Digital Transformation Adoption Framework of the Postal Industry in Southern Africa: From Critical Literature Review to a Theoretical Framework

Megatrendy rozwojowe współczesnej branży pocztowej

Branża pocztowa, której tradycyjnym produktem są list i paczka, traktowana jest obecnie jako część szerszego rynku KEP (kurier, ekspres, paczka). Dla rynku KEP można zidentyfikować zjawiska rozwojowe (megatrendy) mające wpływ na jego funkcjonowanie w dłuższej perspektywie. Wiedza o tych zjawiskach powinna być podstawą każdej decyzji o strategicznym charakterze.Celem opracowania jest usystematyzowanie istoty zmian w otoczeniu branży pocztowej. Niektóre zjawiska w otoczeniu tego rynku już przyczyniły się do komodyzacji (utraty wartości i konieczności redefinicji podstawowych założeń) niektórych rodzajów usług, a w odniesieniu do innych, do ich całkowitego zniknięcia z rynku. Megatrendy w otoczeniu branży pocztowej decydują o tym, że publiczni operatorzy stoją dzisiaj przed koniecznością zmiany modeli funkcjonowania. Być może, w niedalekiej przyszłości, konieczność zmian będzie dotyczyć także paradygmatów zarządzania. Artykuł podejmuje tematykę branży pocztowej z perspektywy wyzwań w zakresie zarządzania, gdzie zauważyć można istotną lukę w polskim piśmiennictwie. Opracowanie ma charakter teoretyczny z aspektami praktycznymi i jest oparty na przeglądzie literatury naukowej oraz popularno-naukowej. W artykule dokonano aktualizacji literatury z punktu widzenia obecnego stanu rzeczy branży pocztowej. Wykorzystano wtórne źródła danych.

Exploring the spatial effect of urbanization on multi-sectoral CO2 emissions in China

Rapid urbanization has increased the demand for energy in various sectors. Previous studies have focused more on individual sectors when investigating the spatial impact of urbanization on CO2, but few have compared the differences among sectors. This study uses geographically weighted regression model to investigate the effect of urbanization on CO2 emissions in six sectors in 2000, 2005, 2010, and 2015. Industrial structure and energy intensity were selected as control variables in this study. The results indicate that the impact of urbanization on CO2 emissions in agriculture, forestry, animal husbandry, fishery and water conservancy sector declines from the southeastern coastal area to the northwest. The influence of urbanization on CO2 emissions presents an increasing trend from the northeast region to the southwest region in the construction industry sector. In industry and residential consumption sectors, urbanization had a greater impact on CO2 emissions in the eastern region than in the western region. However, urbanization had a stronger impact on CO2 emissions in the western region than in the eastern region in the transportation, storage, and postal industry sector. As for wholesale and retail trade and catering and accommodation industry sector, the effect of urbanization on CO2 emissions in the southern region was larger than in the northern region. To achieve the goal of ultimately reducing carbon emissions, policymakers should formulate differential policy for different sectors in different regions, optimize the industrial structure, and develop high technology.

Grey Correlation Analysis of the Factors Influencing the Construction of Agricultural Products Logistics System in Ningxia

On the basis of analyzing the current situation of the construction of agricultural products logistics system in Ningxia, this paper finds out the various problems and influencing factors in the system construction, and then uses the gray correlation analysis method to sort the influence factors. The paper finds that the amount of the fixed assets investment in transportation, storage and postal industry and the purchase quantity of urban residents' agricultural products are the main influence factors. Suggestions are put forward to strengthen road planning, improve facilities and equipment and integrate the logistics demand of agricultural products in order to provide reference for the construction of agricultural products logistics system in Ningxia, and try hard to contribute to the optimization of agricultural product economic structure.

The impact of service quality in postal services: the mediating role of self-service technology

This research explores the adoption of self-service technologies (SST) among customer in the postal service industry, specifically in the postal service in the Malaysia. A structured questionnaire was designed to elicit the customer responses. Data were collected from the 268 respondents but only 260 were found usable for the data analysis. The responses were analysed using the VB-SEM statistical technique using Smart-PLS software towards testing the proposed model. The research findings found that the responsiveness, assurance and self-service technologies have significant relationships with the customer satisfaction. In terms of mediation effect of SST, only reliability was found to have a positive relationship with the customer satisfaction and SST were found to partially mediate the relationship of the SERVQUAL dimensions and customer satisfaction. This study contributes to literature in the postal service industry especially in the Malaysia in managing their customer satisfaction. It is evident that the responsiveness drives the satisfaction of the customers. The SST introduced by the post office in the Malaysia is useful tools for customers.

Digital Transformation of Postal Operators - Challenges and Perspectives

The postal operators are facing unavoidable digital business transformation in the era of the digital economy, Industry 4.0 and innovations. The rise of digital technology over the last 30 years has created both threats and opportunities for the postal industry. Digital transformation of companies and correspondence is having an impact on the core business activity of postal operators. Nowadays, electronic communications impact all of postal operators businesses. The volumes of physical letters have been decreasing substantially, particularly in the last couple of years. Obviously, this leads to loss of revenue. At the same time digital innovations, e-commerce, data collection, and digital identity have been at the heart of postal operators’ efforts to propose new services, spawn efficiencies, and adapt their organizational culture and strategy to the needs of the digital economy. These tendencies require a different postal infrastructure as well as different skills and patterns of employment for postal operators. Hence, the digital transformation has become a strategic priority for postal operators. Although postal services play a vital role in connecting people, businesses and government across the world, the postal industry is grappling with its greatest challenge yet: digital disruption. This article dealt with the opportunity and challenges faced by postal operators in age of digital transformation. It focusses on main drivers of digital transformation and the dimensions of digital transformation in postal services sector. Based on own study a penetration rate for postal e-services in Bulgaria is presented. The results show that extent to which postal operators in Bulgaria are offered e-services is far from fully exploited across the entire network. Based on the results digital strategy priorities of postal operators are proposed.

Proposed Corporate Performance Management Using Integrated Performance Management System (IPMS) at PT Pos Indonesia (Persero)

The big market shifting in postal industry begun since a physical letter was being substituted by digitalization of technology, yet it brings new business opportunity in the e-commerce industry. The e-commerce industry in Indonesia is expected to grow by approximately 18% annually in the next five years. It triggers an increasing demand for parcel delivery services. However, the performance of PT Pos Indonesia (Persero) as a State Owned Enterprise engages in postal industry shows the declining trend. The volume of parcel delivery declined during the last three years. The company has not been able to manage its performance due to the incompatibility of performance management system. The purpose of this research is assisting the company to design new performance management system to improve its performance. The Integrated Performance Management System (IPMS) framework is selected because it is able to overcome the issues in the company. There are five stages of IPMS framework includes foundation, background and information, design process, implementation, and refreshment. It consist of three perspectives includes organizational output, internal process, and resources availability. This research proposed the performance management system for Pos Indonesia and produces 20 key performance indicators (KPI) that derived from company’s vision, mission, and strategy.