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Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format
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Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format Example of Socio-Economic Planning Sciences format
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Socio-Economic Planning Sciences — Template for authors

Publisher: Elsevier
Categories Rank Trend in last 3 yrs
Geography, Planning and Development #67 of 704 up up by 71 ranks
Statistics, Probability and Uncertainty #17 of 152 up up by 11 ranks
Economics and Econometrics #79 of 661 up up by 78 ranks
Strategy and Management #81 of 440 up up by 22 ranks
Management Science and Operations Research #33 of 166 up up by 14 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 277 Published Papers | 1371 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 18/06/2020
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Quality:  
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CiteRatio: 1.8
SJR: 0.232
SNIP: 0.514
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

4.9

11% from 2019

CiteRatio for Socio-Economic Planning Sciences from 2016 - 2020
Year Value
2020 4.9
2019 4.4
2018 3.5
2017 2.7
2016 2.1
graph view Graph view
table view Table view

1.02

23% from 2019

SJR for Socio-Economic Planning Sciences from 2016 - 2020
Year Value
2020 1.02
2019 1.318
2018 0.722
2017 0.792
2016 0.525
graph view Graph view
table view Table view

2.292

3% from 2019

SNIP for Socio-Economic Planning Sciences from 2016 - 2020
Year Value
2020 2.292
2019 2.218
2018 1.567
2017 1.245
2016 1.105
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 11% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 23% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 3% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Socio-Economic Planning Sciences

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Elsevier

Socio-Economic Planning Sciences

During the last several years, there has been substantial and important growth in the application of quantitative analysis, i.e., operations research/management science, statistics, and related arenas, to interdisciplinary problems arising in the area of socio-economic plannin...... Read More

Geography, Planning and Development

Statistics, Probability and Uncertainty

Economics and Econometrics

Strategy and Management

Management Science and Operations Research

Social Sciences

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Last updated on
18 Jun 2020
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ISSN
0038-0121
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Impact Factor
High - 1.224
i
Open Access
No
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Sherpa RoMEO Archiving Policy
Green faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
elsarticle-num
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Citation Type
Numbered
[25]
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Bibliography Example
G. E. Blonder, M. Tinkham, T. M. Klapwijk, Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion, Phys. Rev. B 25 (7) (1982) 4515–4532. URL 10.1103/PhysRevB.25.4515

Top papers written in this journal

Journal Article DOI: 10.1016/J.SEPS.2007.07.002
Evaluation of research in efficiency and productivity:a survey and analysis of the first 30 years of scholarly literature in DEA
Ali Emrouznejad1, Barnett R. Parker2, Gabriel Tavares3

Abstract:

Since the original Data Envelopment Analysis (DEA) study by Charnes et al. [Measuring the efficiency of decision-making units. European Journal of Operational Research 1978;2(6):429–44], there has been rapid and continuous growth in the field. As a result, a considerable amount of published research has appeared, with a signi... Since the original Data Envelopment Analysis (DEA) study by Charnes et al. [Measuring the efficiency of decision-making units. European Journal of Operational Research 1978;2(6):429–44], there has been rapid and continuous growth in the field. As a result, a considerable amount of published research has appeared, with a significant portion focused on DEA applications of efficiency and productivity in both public and private sector activities. While several bibliographic collections have been reported, a comprehensive listing and analysis of DEA research covering its first 30 years of history is not available. This paper thus presents an extensive, if not nearly complete, listing of DEA research covering theoretical developments as well as “real-world” applications from inception to the year 2007. A listing of the most utilized/relevant journals, a keyword analysis, and selected statistics are presented. read more read less

Topics:

Data envelopment analysis (61%)61% related to the paper
994 Citations
open accessOpen access Journal Article DOI: 10.1016/J.SEPS.2017.01.008
A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016
Ali Emrouznejad1, Guo-liang Yang2

Abstract:

In recent years there has been an exponential growth in the number of publications related to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and Rhodes (1978) introduced DEA as a tool for measuring efficiency and productivity of decision making units. DEA has immediately been recognized as a mode... In recent years there has been an exponential growth in the number of publications related to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and Rhodes (1978) introduced DEA as a tool for measuring efficiency and productivity of decision making units. DEA has immediately been recognized as a modern tool for performance measurement. Since then, a large and considerable amount of articles has been appeared, including significant breakthroughs in theory and a great portion of works on DEA applications, both public and private sectors, to assess the efficiency and productivity of their activities. Although there have been several bibliographic collections reported, a comprehensive analysis and listing of DEA-related articles covering its first four decades of history is still missing. This paper, thus, aims to report an extensive listing of DEA-related articles including theory and methodology developments and "real" applications in diversified scenarios from 1978 to end of 2016. Some summary statistics of the publications' growth, the most utilized academic journals, authorship analysis, as well as keywords analysis are also provided. read more read less

Topics:

Data envelopment analysis (62%)62% related to the paper, Productivity (53%)53% related to the paper, Listing (finance) (51%)51% related to the paper
774 Citations
Journal Article DOI: 10.1016/J.SEPS.2011.04.004
Optimization models in emergency logistics: A literature review
Aakil M. Caunhye1, Xiaofeng Nie1, Shaligram Pokharel2

Abstract:

Optimization modeling has become a powerful tool to tackle emergency logistics problems since its first adoption in maritime disaster situations in the 1970s. Using techniques of content analysis, this paper reviews optimization models utilized in emergency logistics. Disaster operations can be performed before or after disas... Optimization modeling has become a powerful tool to tackle emergency logistics problems since its first adoption in maritime disaster situations in the 1970s. Using techniques of content analysis, this paper reviews optimization models utilized in emergency logistics. Disaster operations can be performed before or after disaster occurrence. Short-notice evacuation, facility location, and stock pre-positioning are drafted as the main pre-disaster operations, while relief distribution and casualty transportation are categorized as post-disaster operations. According to these operations, works in the literature are broken down into three parts: facility location, relief distribution and casualty transportation, and other operations. For the first two parts, the literature is structured and analyzed based on the model types, decisions, objectives, and constraints. Finally, through the content analysis framework, several research gaps are identified and future research directions are proposed. read more read less

Topics:

Humanitarian Logistics (68%)68% related to the paper, Facility location problem (54%)54% related to the paper
705 Citations
Journal Article DOI: 10.1016/J.SEPS.2008.12.001
A directional slacks-based measure of technical inefficiency
Hirofumi Fukuyama1, William L. Weber2

Abstract:

Radial measures of efficiency estimated using linear programming (LP) methods can be biased since slack in the constraints defining the technology suggests that at least one input can be reduced, or one output can be expanded, even though a firm is deemed to be “technically efficient.” In this paper, we propose a directional ... Radial measures of efficiency estimated using linear programming (LP) methods can be biased since slack in the constraints defining the technology suggests that at least one input can be reduced, or one output can be expanded, even though a firm is deemed to be “technically efficient.” In this paper, we propose a directional slacks-based measure of technical inefficiency to account for the potential of slack in technological constraints. When no such slacks exist, directional slacks-based inefficiency collapses to the directional technology distance function. Our proposed measure helps to generalize some of the existing slacks-based measures of inefficiency. We examine the financial services provided by Japanese cooperative Shinkin banks, and estimate their inefficiency during the period 2002–2005. This inefficiency declined slightly during the period. We thus propose that slack is an important source of inefficiency which is often not captured by the directional technology distance function. read more read less

Topics:

Inefficiency (64%)64% related to the paper
588 Citations
Journal Article DOI: 10.1016/S0038-0121(00)00010-0
Investigating technical and scale efficiencies of australian universities through data envelopment analysis
Necmi K. Avkiran1

Abstract:

Performance indicators in the public sector have often been criticised for being inadequate and not conducive to analysing efficiency. The main objective of this study is to use data envelopment analysis (DEA) to examine the relative efficiency of Australian universities. Three performance models are developed, namely, overal... Performance indicators in the public sector have often been criticised for being inadequate and not conducive to analysing efficiency. The main objective of this study is to use data envelopment analysis (DEA) to examine the relative efficiency of Australian universities. Three performance models are developed, namely, overall performance, performance on delivery of educational services, and performance on fee-paying enrolments. The findings based on 1995 data show that the university sector was performing well on technical and scale efficiency but there was room for improving performance on fee-paying enrolments. There were also small slacks in input utilisation. More universities were operating at decreasing returns to scale, indicating a potential to downsize. DEA helps in identifying the reference sets for inefficient institutions and objectively determines productivity improvements. As such, it can be a valuable benchmarking tool for educational administrators and assist in more efficient allocation of scarce resources. In the absence of market mechanisms to price educational outputs, which renders traditional production or cost functions inappropriate, universities are particularly obliged to seek alternative efficiency analysis methods such as DEA. read more read less

Topics:

Data envelopment analysis (62%)62% related to the paper, Performance indicator (55%)55% related to the paper, Returns to scale (54%)54% related to the paper, Benchmarking (52%)52% related to the paper, Public sector (51%)51% related to the paper
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Socio-Economic Planning Sciences format uses elsarticle-num citation style.

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Frequently asked questions

1. Can I write Socio-Economic Planning Sciences in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Socio-Economic Planning Sciences guidelines and auto format it.

2. Do you follow the Socio-Economic Planning Sciences guidelines?

Yes, the template is compliant with the Socio-Economic Planning Sciences guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Socio-Economic Planning Sciences?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Socio-Economic Planning Sciences citation style.

4. Can I use the Socio-Economic Planning Sciences templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Socio-Economic Planning Sciences.

5. Can I use a manuscript in Socio-Economic Planning Sciences that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Socio-Economic Planning Sciences that you can download at the end.

6. How long does it usually take you to format my papers in Socio-Economic Planning Sciences?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Socio-Economic Planning Sciences.

7. Where can I find the template for the Socio-Economic Planning Sciences?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Socio-Economic Planning Sciences's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Socio-Economic Planning Sciences's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Socio-Economic Planning Sciences an online tool or is there a desktop version?

SciSpace's Socio-Economic Planning Sciences is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Socio-Economic Planning Sciences?

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11. What is the output that I would get after using Socio-Economic Planning Sciences?

After writing your paper autoformatting in Socio-Economic Planning Sciences, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Socio-Economic Planning Sciences's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Socio-Economic Planning Sciences?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Socio-Economic Planning Sciences. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Socio-Economic Planning Sciences?

The 5 most common citation types in order of usage for Socio-Economic Planning Sciences are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Socio-Economic Planning Sciences?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Socio-Economic Planning Sciences's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Socio-Economic Planning Sciences in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Socio-Economic Planning Sciences Endnote style according to Elsevier guidelines.

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