scholarly journals Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

scholarly journals KAPASITAS PERIKANAN PELAGIS KECIL DI WILAYAH PENGELOLAAN PERIKANAN-714 LAUT BANDA MALUKU

2017 ◽  
Vol 2 (1) ◽  
pp. 43
Author(s):  
Johanis Hiariey ◽  
Mulyono Sumitro Baskoro
Keyword(s):  
Data Envelopment Analysis ◽  
Fishery Management ◽  
Time Series Data ◽  
Series Data ◽  
Data Envelopment ◽  
Excess Capacity ◽  
Fishing Capacity ◽  
Management Area ◽  
Management Policies ◽  
Pelagic Fishery

Kapasitas penangkapan berlebih merupakan suatu masalah kritis padaperikanan tangkap. Berkaitan dengan isu kapasitas tersebut, kajian ini dilakukan untuk menentukan kapasitas penangkapan ikan pelagis kecil di wilayah pengelolaan perikanan-714 Laut Banda, dengan menggunakan data runtun waktu periode tahun 1985-2006 yang dianalisis dengan teknik data envelopment analysis. Terdapat indikasi excess capacity pada perikanan pelagis kecil, dan pada periode tahun 1989-1998 kondisi perikanan menunjukan over capacity. Dengan demikian, dibutuhkan alternatif kebijakan pengelolaan perikanan untuk mengurangi input penangkapan pada perikanan di wilayah pengelolaan perikanan-714 Laut Banda.Excessive fishing capacity is a critical problem in marine capture fisheries. In line with the capacity issue, this study was conducted to determine fishing capacity of the small pelagic fishery at fishery management area-714 Banda Sea using time series data of 1985-2006 analyzed using technique of data envelopment analysis. There was indication of excess capacity on the small pelagic fishery, and the fishery in the period of 1989-1998 was found to be over capacity. Therefore, alternative fishery management policies were needed to reduce fishing inputs from the fishery of the fishery management area-714 Banda Sea.

scholarly journals The Impact of Foreign Direct Investment (FDI) on Economic Growth (EG): Evidence from Djibouti

2021 ◽  
Vol 9 (2) ◽  
pp. 64
Author(s):  
Nashwa Maguid Hayel ◽  
Bouchra Es. Saiydy
Keyword(s):  
Economic Growth ◽  
International Development ◽  
Time Series Data ◽  
Developed Countries ◽  
Modern Technology ◽  
Least Square ◽  
Series Data ◽  
Least Developed Countries ◽  
Study Results ◽  
The Impact

The achievement of EG and development is considered the core objective for both Developing Countires (DCs) and Least Developed Countries (LDCs), so countries try to get adequate funding to achieve this goal through optimal macroeconomic policies and different strategies. Countries prefer other mechanisms with less burden and cost to achieve economic growth, such as FDI flows. International development-oriented institutions such as WB and IMF recommend and consider FDI flows as the most important factors of the modern technology transfer, management, and know-how, which is necessarily needed in the local investment projects in poor countries, Therefore FDI represents optimal external sources of growth.The objective of this study is to explain the impact of FDI on the EG of Djibouti. To achieve this objective the study used a secondary annual time series data for the period 1985-2019 by the method of Ordinary Least Square (OLS).The study results showed that FDI in the case of Djibouti tends to be statistically insignificant effects on Djibouti‘s EG; on the other hand other factors such as the Human Development Index (HDI) and Gross Fixed Capital Formation (GFCF), Trade Openness (TOP) shows significant effects on the Gross Domestic Product (GDP). Finally, the Consumer Price Index (CPI) has no significance in the EG of Djibouti.The findings provide critical information to Djibouti policy decision-makers to make an informed decision with regard to attracting investment and policies in encouraging foreign investors to invest in the country.

scholarly journals Monitoring Urban Sprawl Using Time-Series Data: Famagusta Region of Northern Cyprus

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110074
Author(s):  
Kamyar Fuladlu ◽  
Müge Riza ◽  
Mustafa Ilkan
Keyword(s):  
Time Series ◽  
Urban Sprawl ◽  
Census Data ◽  
Time Series Data ◽  
Developed Countries ◽  
Geographical Information ◽  
Series Data ◽  
Great Success ◽  
European Cities ◽  
Northern Cyprus

Monitoring urban sprawl is a controversial topic among scholars. Many studies have tried to employ various methods for monitoring urban sprawl in cases of North American and Northern and Western European cities. Although numerous methods have been applied with great success in various developed countries, they are predominantly impractical for cases of developing Mediterranean European cities that lack reliable census data. Besides, the complexity of the methods made them difficult to perform in underfunded situations. Therefore, this study aims to develop a new multidimensional method that researchers and planners can apply readily in developing Mediterranean European cities. The new method was tested in the Famagusta region of Northern Cyprus, which has been experiencing unplanned growth for the past half-century. In support of this proposal, a detailed review of the existing literature is presented with an emphasis on urban sprawl characteristics. Four characteristics were chosen to monitor urban sprawl’s development in the Famagusta region. The method was structured based on a time-series (2001, 2006, 2011, and 2016) dataset that used remote sensing data and geographical information systems to monitor the urban sprawl. Based on the findings, the Famagusta region experienced rapid growth during the last 15 years. The lack of a masterplan resulted in the uncontrolled expansion of the city in the exurban areas. The development configuration was polycentric and linear in form with single-use composition. Together, the expansion and configuration manifested as more built-up area, scattered development, and increased automobile dependency.

scholarly journals KOMPARASI EFISIENSI & PRODUKTIVITAS PERUSAHAAN ASURANSI JIWA KONVENSIONAL DAN SYARIAH DI INDONESIA PADA TAHUN 2014 – 2017, DENGAN PENDEKATAN DEA & INDEKS MALMQUIST

2020 ◽  
Vol 6 (9) ◽  
pp. 1877
Author(s):  
Oky Suryoaji ◽  
Eko Fajar Cahyono
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Constant Return

Tujuan penelitian ini adalah untuk mengetahui tingkat efisiensi dan produktivitas perusahaan asuransi jiwa antara konvensional dan syariah (baik Unit Usaha Syariah maupun Full Fledge) periode 2014 – 2017. Penelitian ini menggunakan pendekatan kuantitatif dengan metode non parametrik DEA (Data Envelopment Analysis) yang dilandaskan dengan asumsi CRS (Constant Return to Scale) dan VRS (Variable Return to Scale) dan Indeks Malmquist asumsi TFPC (Total Factor Productivity Change) dengan diolah menggunakan aplikasi DEAP Versi 2.1. Variabel yang digunakan meliputi Total Aset, Beban, Klaim, Premi/Dana Tabrru’, dan Pendapatan. Subjek yang digunakan dalam penelitian ini sebanyak 29 perusahaan asuransi jiwa syariah yang terdiri 10 perusahaan asuransi jiwa syariah dan 19 perusahaan asuransi jiwa konvensional. Hasil penelitian menunjukkan bahwa rata-rata perusahaan asuransi jiwa konvensional dan syariah belum mencapai efisien (CRS) dan rata-rata TFPC perusahaan asuransi jiwa konvensional sudah mencapai produktivitas sementara syariah belum mencapai produktivitas.Keywords:Asuransi Jiwa Syariah, Efisiensi, Produktivitas, Data Envelopment Analysis (DEA), Constant Return to Scale (CRS), Variable Return to Scale (VRS), Malmquist Index (MI), Total Factor Productivity Change (TFPC)

scholarly journals PENGUKURAN EFISIENSI AGROINDUSTRI PANGAN LOKAL ENBAL DENGAN PENDEKATAN DATA ENVELOPMENT ANALYSIS

2017 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Natelda R Timisela ◽  
Ester D Leatemia ◽  
Febby J Polnaya ◽  
Rachel Breemer
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Production Cost ◽  
Efficiency Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Sago Starch ◽  
Good Efficiency ◽  
Business Efficiency ◽  
Production Increase

The current research aimed to analyze the relative efficiency level of enbal (sago starch) agro-industries. The relative efficiency analysis on 32 DMUs of enbal agro-industries showed that 40,63% of the industries were efficient and 59.38% were inefficient. Every efficient DMU became the reference for the inefficient DMUs based on the suggested quality. Each DMU of the enbal agro-industries has not reached a good efficiency level, which was indicated by the average relative efficiency scale of 0.886. This was a relatively low value, and improvements on the use of production input were needed. The analysis result on the DMUs of the enbal agro-industries which were on constant return to scale position were 40,62%. This showed that enbal agro-industries actors have applied production input efficiently, for the production increase was equal to the use of input. In other words, the use of input was more proportional. The DMUs of enbal agro-industries which were on decreasing return to scale position were 15,63%. This showed that the use of production input had been unsuitable so that the output decreases and the production cost increased. Meanwhile, the DMUs that were on increasing return to scale position were 43,75%. This showed that the industry actors who used certain production input would create efficient DMUs. On the other hand, the input excess would possibly decrease the output. As a result, the industry actors should be concerned about the use of production input in order to establish business efficiency.

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