scholarly journals Differences in Distance and Spatial Effects on Cross-Border E-Commerce and International Trade

2022 ◽  
Vol 30 (2) ◽  
pp. 1-24
Author(s):  
Qunyang Du ◽  
Danqing Deng ◽  
Jacob Wood
Keyword(s):  
International Trade ◽  
Spatial Autocorrelation ◽  
Spillover Effect ◽  
Distance Effect ◽  
Spatial Effects ◽  
Spatial Durbin Model ◽  
Policy Makers ◽  
Factors Affecting ◽  
Cross Border ◽  
One Belt One Road

Distance and space are important factors affecting international trade, but they have different effects on cross-border e-commerce (CBE) due to the creation of the Internet. This study utilizes spatial autocorrelation, the multi-dimension gravity model and the Spatial Durbin model to conduct an comparative analysis of international trade and CBE within one-belt one-road (BR) countries. Our study obtained several key findings. Firstly, the spatial autocorrelation effect which exists in international trade does not exist in CBE. Secondly, the geographical distance effect of CBE is not significant, which is different from that of international trade. Thirdly, CBE is affected by GDP, culture, policy and institution distances which is not entirely consistent with international trade. Finally, the Spatial Durbin model shows that the spillover effect of CBE and international trade are both significant in the inverse distance weight matrix. These findings provide not only important theoretical contributions but also a practical guide for Government policy makers of the BR and CBE.

Relationship between Cross-Border Mergers and Acquisitions and International Trade: The Case of Russian Pharmaceutical Industry

2020 ◽  
pp. 81-94
Author(s):  
Alexandra V. Chugunova ◽  
Olga A. Klochko
Keyword(s):  
International Trade ◽  
Mergers And Acquisitions ◽  
Volume Growth ◽  
Pharmaceutical Products ◽  
Pharmaceutical Companies ◽  
Cross Border ◽  
Export Volume ◽  
Relationship Of ◽  
Geographical Diversification ◽  
The Relationship

This research studies the relationship of cross-border mergers and acquisitions to international trade through the lens of Russian pharmaceutical market. To this aim, the study analyses the woks of foreign economists dedicated to evaluating the link between foreign direct investment and international trade, and the influence of mergers and acquisitions on countries’ export and import flows. The research also presents a correlation analysis between the volume of Russian pharmaceutical exports and imports and cross-border deals performed by foreign pharmaceutical companies in Russia. We characterize these deals and conduct a comparative analysis of the regional structure of Russian pharmaceutical exports and imports as well as of the countries of origin of buyers in cross-border mergers and acquisitions. The results of the analysis indicate a positive relationship between cross-border mergers and acquisitions and Russian pharmaceutical exports, which is reflected in the export volume growth and its geographical diversification. However, it is outlined that particular problems of the industry hinder the amelioration of Russian positions in international exports. Similarly, the relationship between cross-border deals and Russian imports is positive: the major pharmaceutical products supply flow occurs from the countries of origin of buyers in cross-border mergers and acquisitions conducted in the Russian pharmaceutical sector.

Measurement of Vulnerability of Financial Portfolio of Sharia Commercial Banks by Cardona Method

2017 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
Paulina Harun ◽  
Atman Poerwokoesoemo
Keyword(s):  
Commercial Banks ◽  
Quantitative Research ◽  
Banking Sector ◽  
Banking Industry ◽  
Policy Makers ◽  
Factors Affecting ◽  
Section Data ◽  
Initial Stage ◽  
The Face ◽  
Asset Portfolio

his study aims to: (1) to know and analyze the extent of volatility (vulnerability) of sharia banking industry in Indonesia in the face of competition (2) to know and analyze factors affecting vulnerability of sharia commercial banks; (3) to know and analyze the extent of sustainable development of sharia banking industry to Indonesia's economic development.The research conducted to measure the vulnerability (volatility) of proto folio of syariah bank using observation period 2015, and the data used is cross section data. The research design used in this research is quantitative research, using asset dimension (asset portfolio, liability portfolio, equity portfolio) and stressor (pressure, including: credit risk, market risk, and liquidity risk).The activity plan of this research is: in the initial stage of conducting theoretical study related to the vulnerability related to banking especially BUS; The next step is to determine the asset and stressor dimensions associated with the BUS; Further determine the indicators related to assets and stressors; The next step performs calculations to determine the index of each BUS as well as the dimensions that affect the vulnerabilities faced by each BUS.Target expected outcomes can be generated from this research is: for the object of research (BUS) provide a solution for BUS to deal with and overcome the vulnerabilities encountered and policies that must be done. For policy makers, the results of this study are expected to provide input in decision-making and other policies.Measurement of vulnerability to be performed related to banking operations in the face of competition and the continuity of BUS in Indonesia. The outcomes of this study are expected to be included in Bank Indonesia journals, the selection of this journal is based on studies conducted in the banking sector, especially BUS in Indonesia.

scholarly journals Understanding Urban Commercial Vehicle Driver Behaviors and Decision Making

2021 ◽  
pp. 036119812110035
Author(s):  
Giacomo Dalla Chiara ◽  
Klaas Fiete Krutein ◽  
Andisheh Ranjbari ◽  
Anne Goodchild
Keyword(s):  
Commercial Vehicle ◽  
Operating Time ◽  
Common Belief ◽  
Policy Makers ◽  
Factors Affecting ◽  
Urban Freight ◽  
The Road ◽  
Commercial Drivers ◽  
The Common ◽  
Printed Materials

As e-commerce and urban deliveries spike, cities grapple with managing urban freight more actively. To manage urban deliveries effectively, city planners and policy makers need to better understand driver behaviors and the challenges they experience in making deliveries. In this study, we collected data on commercial vehicle (CV) driver behaviors by performing ridealongs with various logistics carriers. Ridealongs were performed in Seattle, Washington, covering a range of vehicles (cars, vans, and trucks), goods (parcels, mail, beverages, and printed materials), and customer types (residential, office, large and small retail). Observers collected qualitative observations and quantitative data on trip and dwell times, while also tracking vehicles with global positioning system devices. The results showed that, on average, urban CVs spent 80% of their daily operating time parked. The study also found that, unlike the common belief, drivers (especially those operating heavier vehicles) parked in authorized parking locations, with only less than 5% of stops occurring in the travel lane. Dwell times associated with authorized parking locations were significantly longer than those of other parking locations, and mail and heavy goods deliveries generally had longer dwell times. We also identified three main criteria CV drivers used for choosing a parking location: avoiding unsafe maneuvers, minimizing conflicts with other users of the road, and competition with other commercial drivers. The results provide estimates for trip times, dwell times, and parking choice types, as well as insights into why those decisions are made and the factors affecting driver choices.

scholarly journals Regional Disparity and Patients Mobility: Benefits and Spillover Effects of the Spatial Network Structure of the Health Services in China

2021 ◽  
Vol 18 (3) ◽  
pp. 1096
Author(s):  
Liping Fu ◽  
Kaibo Xu ◽  
Feng Liu ◽  
Lu Liang ◽  
Zhengmin Wang
Keyword(s):  
Health Economic ◽  
Health Services ◽  
Network Structure ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Health Economy ◽  
Spatial Network ◽  
Spatial Effects ◽  
Medical Resource ◽  
Medical Resources

Background: The distribution of medical resources in China is seriously imbalanced due to imbalanced economic development in the country; unbalanced distribution of medical resources makes patients try to seek better health services. Against this backdrop, this study aims to analyze the spatial network characteristics and spatial effects of China’s health economy, and then find evidence that affects patient mobility. Methods: Data for this study were drawn from the China Health Statistical Yearbooks and China Statistical Books. The gravitational value of China’s health spatial network was calculated to establish a network of gravitational relationships. The social network analysis method was used for centrality analysis and spillover effect analysis. Results: A gravity correlation matrix was constructed among provinces by calculating the gravitational value, indicating the spatial relationships of different provinces in the health economic network. Economically developed provinces, such as Shanghai and Jiangsu, are at the center of the health economic network (centrality degree = 93.333). These provinces also play a strong intermediary role in the network and have connections with other provinces. In the CONCOR analysis, 31 provinces are divided into four blocks. The spillover effect of the blocks indicates provinces with medical resource centers have beneficial effects, while provinces with insufficient resources have obvious spillover effects. Conclusion: There is a significant gap in the geographical distribution of medical resources, and the health economic spatial network structure needs to be improved. Most medical resources are concentrated in economically developed provinces, and these provinces’ positions in the health economic spatial network are becoming more centralized. By contrast, economically underdeveloped regions are at the edge of the network, causing patients to move to provinces with medical resource centers. There are health risks of the increasing pressure to seek medical treatment in developed provinces with abundant medical resources.

scholarly journals Public Response, Anxiety and Behaviour during the First Wave of COVID-19 Pandemic in Saudi Arabia

2021 ◽  
Vol 18 (9) ◽  
pp. 4628
Author(s):  
Amani Salem Alqahtani ◽  
Meshael Mohammed Alrasheed ◽  
Ada Mohammed Alqunaibet
Keyword(s):  
Cross Sectional ◽  
Protective Measures ◽  
Policy Makers ◽  
Factors Affecting ◽  
Public Response ◽  
Social Events ◽  
Phone Survey ◽  
Younger Age ◽  
Low Levels ◽  
The Government

This study aims to investigate public response attitude, anxiety, practices and trust in the authorities’ mitigation plan during the first wave of COVID-19 pandemic. A national cross sectional phone survey was conducted among Saudi residents aged 16 years and above. A total of 90,421 (45.2%) individuals participated in the study. Of those, the overall rate of COVID-19 correct knowledge was 82% (mean: 9.84); social media was the most reported source of knowledge. Younger age, low levels of education and foreign residents were associated with poor knowledge. Overall, 49.5% scored 5 or more on the GAD-7 test, indicating anxiety symptoms, 19.2% of them scored 10 and above, suggesting moderate to severe anxiety. Majority of participants (>78%) trusted and supported the interventions implemented by the government to control COVID-19. Social distancing practices among participants was as following, 72.5% stayed at home and avoid going out for nonessential business and 49.5% avoided attending social events and family gatherings. Trust in authorities, being anxious, worry and levels of knowledge about the disease, were the most common factors affecting adoption of the recommended practices. Continuous evaluation of public response about COVID-19, and the effectiveness of protective measures is essential to better inform policy-makers and identify ways of encouraging behaviour change among public during pandemic.

scholarly journals Factors affecting the volume of Indonesian CPO exports in international trade

2021 ◽  
Vol 681 (1) ◽  
pp. 012105
Author(s):  
A Amiruddin ◽  
S Suharno ◽  
S Jahroh ◽  
R R Novanda ◽  
Abd Gaffar Tahir ◽  
...  
Keyword(s):  
International Trade ◽  
Factors Affecting

Consumer behaviour towards willingness to pay for Halal products

2019 ◽  
Vol 121 (2) ◽  
pp. 492-504 ◽  
Author(s):  
Waqar Ahmed ◽  
Arsalan Najmi ◽  
Hafiz Muhammad Faizan ◽  
Shaharyar Ahmed
Keyword(s):  
Willingness To Pay ◽  
Structural Equation ◽  
Quantitative Research ◽  
Reasoned Action ◽  
Raw Material ◽  
Equation Modeling ◽  
Muslim Country ◽  
Policy Makers ◽  
Content Type ◽  
Factors Affecting

PurposeThe purpose of this paper is to empirically analyze the factors affecting Muslim consumers’ willingness to pay (WTP) for Halal food, products and operations by employing theory of reasoned action.Design/methodology/approachThis study has used quantitative research methodology and collected data from 350 questionnaires from a densely populated city of Pakistan. Partial least squares-structural equation modeling was used to analyze the data.FindingsThe results show that the concerns about Halal, religiosity, perception of usefulness of Halal and product ingredients have a significant impact on WTP for Halal foods, while attitude has an insignificant impact on WTP. Moreover, the extent of demand for Halal certification is significantly affected by WTP.Originality/valueThe study highlighted the concerns of the Muslim consumers with respect to Halalness of the products and operations despite living in a Muslim country. It is recommended that the policy makers, food authorities and health institutions should conduct regular inspections of foods, products and producers’/manufacturers’ operations to ensure that all the procedures from manufacturing of the raw material till the finished goods follow Islamic principles to make them completely Halal.

Analyzing The Violent Crime Patterns In Peninsular Malaysia : Exploratory Spatial Data Analysis (ESDA) Approach

2014 ◽  
Vol 72 (1) ◽  
Author(s):  
Syerrina Zakaria ◽  
Nuzlinda Abd. Rahman
Keyword(s):  
Data Analysis ◽  
Spatial Autocorrelation ◽  
Violent Crime ◽  
Spatial Data ◽  
Hot Spot ◽  
Peninsular Malaysia ◽  
Spatial Data Analysis ◽  
Exploratory Spatial Data Analysis ◽  
Policy Makers ◽  
Violent Crime Rate

The objective of this study is to analyze the spatial cluster of crime cases in Peninsular Malaysia by using the exploratory spatial data analysis (ESDA). In order to identify and measure the spatial autocorrelation (cluster), Moran’s I index were measured. Based on the cluster analyses, the hot spot of the violent crime occurrence was mapped. Maps were constructed by overlaying hot spot of violent crime rate for the year 2001, 2005 and 2009. As a result, the hypothesis of spatial randomness was rejected indicating cluster effect existed in the study area. The findings reveal that crime was distributed nonrandomly, suggestive of positive spatial autocorrelation. The findings of this study can be used by the goverment, policy makers or responsible agencies to take any related action in term of crime prevention, human resource allocation and law enforcemant in order to overcome this important issue in the future. 

scholarly journals Integrated Transport Efficiency and Its Spatial Convergence in China’s Provinces: A Super-SBM DEA Model Considering Undesirable Outputs

2018 ◽  
Vol 8 (9) ◽  
pp. 1698 ◽  
Author(s):  
Fei Ma ◽  
Wenlin Wang ◽  
Qipeng Sun ◽  
Fei Liu ◽  
Xiaodan Li
Keyword(s):  
Spatial Autocorrelation ◽  
Traffic Accidents ◽  
Central Zone ◽  
Data Envelopment Analysis Model ◽  
Undesirable Outputs ◽  
Spatial Effects ◽  
Analysis Model ◽  
Growth Trend ◽  
Transport Efficiency ◽  
Transport Industry

Undesirable outputs, such as carbon emissions and loss of property due to traffic accidents, hold great significance for the sustainable development of the transport industry. In this study, we applied a super-efficiency data envelopment analysis model with a slack-based measure (Super-SBM DEA) considering undesirable outputs to measure the integrated transport efficiency (ITE) of 31 provinces in China during the period of 2009–2016. Following this, we used a spatial autocorrelation model to test and verify the spatial autocorrelation of the ITEs at the level of the 31 provinces, and further to explore the aggregating features. Finally, considering the spatial effects that emerged, we constructed a β-convergence model to analyze the convergence characteristics of China’s ITEs and investigate its conditional factors. The research results show that the average ITE demonstrated a linear growth trend; the effective decision-making units (the ITE value was greater than 1) are only 11 provinces, accounting for about 35% by 2016. The mean of ITEs was also found to present a law of decreasing order of Eastern, Central and Western Zones. However, the Central Zone and Western Zone have a better efficiency improvement trend compared to the Eastern Zone. The Moran’s I index was bigger than zero, indicating that the ITEs formed a spatial autocorrelation phenomenon. The Moran scatter plots further showed that the provincial ITEs mainly followed the patterns of high–high, high–low and low–low aggregation. The ITE of the 31 provinces was found to have a clear absolute β-convergence and conditional β-convergence characteristics. Moreover, the level of economic development, household per capita traffic consumption, transport industry scale, technology advancement and transport intensity were all seen to have an important impact on the convergence of integrated transport efficiency. It is hoped that the findings of this study may contribute further insights and practical knowledge to effectively measuring the development level of China’s integrated transport efficiency, and to understanding future changes in the ITE gap among Chinese provinces.

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