scholarly journals Bridging the Gap between Pre-census and Census-era Historical Data: Devising a Geo-sampling Model to Analyse Agricultural Production in the Long Run for Southeast Europe, 1840–1897

2020 ◽  
Vol 14 (1-2) ◽  
pp. 46-63 ◽  
Author(s):  
M. Erdem Kabadayi ◽  
Piet Gerrits ◽  
Grigor Boykov

This research introduces a novel geo-spatial sampling model to overcome a major difficulty in historical economic geography of Bulgarian lands during a crucial period: immediately before and after the de facto independence of the territory from the Ottoman Empire in the second half of the nineteenth century. At its core it seeks to investigate the research question how the Bulgarian independence affected agricultural production in two regions (centered around the cities of Plovdiv and Ruse) of today's Bulgaria, for which there are conflicting yet empirically unsubstantiated claims concerning the economic impact of the political independence. Using our be-spoke geo-sampling strategy we believe, we have sampled regionally representative commensurable agricultural data from the 1840s Ottoman archival documentation, in accord with agricultural censuses conducted by the nascent nation state of Bulgaria in the 1890s.

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.


2021 ◽  
pp. 089719002110184
Author(s):  
Kimberly L. Barefield ◽  
Caroline Champion ◽  
Lucy Yang ◽  
Brent Rollins

Introduction: Competent pharmacy practice requires the ability to critically evaluate the medical literature and communicate pharmacotherapy information and recommendations to healthcare practitioners. Given the limited research on how these skills are taught, a seminar course in the third year of the pharmacy curriculum was designed to strengthen these skills and abilities. Methods: This was a prospective, pre- and post-cohort survey design. Students were informed of the study’s intent with participation being voluntary and not affecting their course grade. Students received the same survey at the beginning and end of the semester. The 20-question survey assessed self-perceived confidence in the domains of communication and literature evaluation using a 5-point, Likert-type Strongly Disagree-Strongly Agree Scale. Demographic information and students’ previous pharmacy work and internship experience were collected as a part of the survey. Descriptive statistics and Student’s t-test were used to assess the research question and comparisons of student demographics. Results: Sixty-eight of a possible 91 students (75% response rate) completed both the pre- and post-survey. There was no statistically significant differences between any of the measured demographics. Overall, students slightly agreed they were confident in their communication and literature evaluation skills in the pre-course evaluation, with communicating drug interactions as the least confident area. Post-course, students were significantly more confident in all but 5 of 20 measured areas. Conclusion: The Seminar course resulted in a positive change in students’ perception of confidence to communicate with healthcare professionals and ability to evaluate drug literature.


Paleobiology ◽  
2007 ◽  
Vol 33 (1) ◽  
pp. 116-124 ◽  
Author(s):  
Karen M. Layou

Paleobiological diversity is often expressed as α (within-sample), β (among-sample), and γ (total) diversities. However, when studying the effects of extinction on diversity patterns, only variations in α and γ diversities are typically addressed. A null model that examines changes in β diversity as a function of percent extinction is presented here.The model examines diversity in the context of a hierarchical sampling strategy that allows for the additive partitioning of γ diversity into mean α and β diversities at varying scales. Here, the sampling hierarchy has four levels: samples, beds, facies, and region; thus, there are four levels of α diversity (α1, α2, α3, α4) and three levels of β diversity (β1, β2, and β3). Taxa are randomly assigned to samples within the hierarchy according to probability of occurrence, and initial mean α and β values are calculated. A regional extinction is imposed, and the hierarchy is resampled from the remaining extant taxa. Post-extinction mean α and β values are then calculated.Both non-selective and selective extinctions with respect to taxon abundance yield decreases in α, β, and γ diversities. Non-selective extinction with respect to taxon abundance shows little effect on diversity partitioning except at the highest extinction magnitudes (above 75% extinction), where the contribution of α1 to total γ increases at the expense of β3, with β1 and β2 varying little with increasing extinction magnitude. The pre-extinction contribution of α1 to total diversity increases with increased probabilities of taxon occurrence and the number of shared taxa between facies. Both β1 and β2 contribute equally to total diversity at low occurrence probabilities, but β2 is negligible at high probabilities, because individual samples preserve all the taxonomic variation present within a facies. Selective extinction with respect to rare taxa indicates a constant increase in α1 and constant decrease in β3 with increasing extinction magnitudes, whereas selective extinction with respect to abundant taxa yields the opposite pattern of an initial decrease in α1 and increase in β3. Both β1 and β2 remain constant with increasing extinction for both cases of selectivity. By comparing diversity partitioning before and after an extinction event, it may be possible to determine whether the extinction was selective with respect to taxon abundances, and if so, whether that selectivity was against rare or abundant taxa.Field data were collected across a Late Ordovician regional extinction in the Nashville Dome of Tennessee, with sampling hierarchy similar to that of the model. These data agree with the abundant-selective model, showing declines in α, β, and γ diversities, and a decrease in α1 and increase in β3, which suggests this extinction may have targeted abundant taxa.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Ali Raza ◽  
Nida Shah ◽  
Muhammad Tahir Suleman ◽  
Md Al Mamun

Purpose This study aims to examine the house price fluctuations in G7 countries by using the multifractal detrended fluctuation analysis (MF-DFA) for the years 1970–2019. The study examined the market efficiency between the short-term and long-term in the full sample period, before and after the global financial crisis period. Design/methodology/approach This study uses the MF-DFA to analyze house price fluctuations. Findings The findings confirmed that the housing market series are multifractal. Furthermore, all the markets showed long-term persistence in both the short and long-term. The USA is identified as the most persistent house market in the short run and Japan in the long run. Moreover, in terms of efficiency, Canada is identified as the most efficient house market in the long run and the UK in the short run. Finally, the result of before and after the financial crisis period is consistent with the full sample result. Originality/value The contribution of this study in the literature is fourfold. This is the first study that has examined the house prices efficiency by using the MF-DFA technique given by Kantelhardt et al. (2002). Previously, the house market prices and efficiency has been investigated using generalized Hurst exponent (Liu et al., 2019), Quantile Regression Approach (Chae and Bera, 2019; Tiwari et al., 2019) but no study to the best of the knowledge has been done that has used the MF-DFA technique on the housing market. Second, this is the first study that has focused on the house markets of G7 countries. Third, this study explores the house market efficiency by dividing the market into two periods i.e. before and after the financial crisis. The study strives to investigate if the financial crisis determines the change in the degree of market efficiency or not. Finally, the study gives valuable insights to the investors that will help them in their investment decisions.


2021 ◽  
Author(s):  
Leyla von Mende

How did intellectual elites, who had acquired their position and formed their self-conception within the Ottoman Empire, deal with its loss and change? This question is discussed by looking at their representations of Southeast Europe in Ottoman and Turkish travel literature. The study analyses their attempts to continuously reposition themselves, their homeland and Southeast Europe in times of a shifting international balance of power. It also explores two mechanisms of processing the things observed – wonder and remembering. This approach allows us to reassess the importance of the lost region to the authors’ present and sheds new light on the transition from empire to republic.


Author(s):  
Renato Quiliche ◽  
Rafael Renteria-Ramos ◽  
Irineu de Brito Junior ◽  
Ana Luna ◽  
Mario Chong

In this article we propose an application of humanitarian logistics theory to build a supportive framework for economic reactivation and pandemic management based on province vulnerability against COVID-19. The main research question is: which factors are related to COVID-19 mortality between Peruvian provinces? We conduct a spatial regression analysis to explore which factors determines the differences in COVID-19 cumulative mortality rates for 189 Peruvian provinces up to December 2020. The most vulnerable provinces are characterized by having low outcomes of long-run poverty and high population density. Low poverty means a high economic activity that leads to more deaths of COVID-19. There is a lack of supply of a set of relief goods defined as Pandemic Response and Recovery Supportive Goods and Services (PRRSGS). These goods must be delivered in order to mitigate the risk associated to COVID-19. A supportive framework for economic reactivation can be built based on regression results and a delivery strategy can be discussed according to the spatial patterns that we found for mortality rates.


2007 ◽  
Vol 4 (3) ◽  
pp. 1069-1094
Author(s):  
M. Rivas-Casado ◽  
S. White ◽  
P. Bellamy

Abstract. River restoration appraisal requires the implementation of monitoring programmes that assess the river site before and after the restoration project. However, little work has yet been developed to design effective and efficient sampling strategies. Three main variables need to be considered when designing monitoring programmes: space, time and scale. The aim of this paper is to describe the methodology applied to analyse the variation of depth in space, scale and time so more comprehensive monitoring programmes can be developed. Geostatistical techniques were applied to study the spatial dimension (sampling strategy and density), spectral analysis was used to study the scale at which depth shows cyclic patterns, whilst descriptive statistics were used to assess the temporal variation. A brief set of guidelines have been summarised in the conclusion.


Author(s):  
Kumudu Jayawardhana

The burgeoning literature postulates that a firm’s degree of openness for external parties in building its knowledge base undoubtedly enables it gaining competitive advantage though a little attention has been devoted to investigating the phenomena from small and medium enterprise (SME) perspective. Accordingly, this study investigates how open innovation orientation leads nurturing greater innovation and acquiring greater sustainable goals and specifically, how entrepreneurial orientation and resource bricolage facilitate the whole process. Drawing upon a sample of 442 SMEs, the study followed a quantitative approach to investigate the focal research question. The results reveal that open innovation orientation of SMEs significantly influences on nurturing greater innovation and attaining sustainable goals in long-run while the entrepreneurial orientation drives the whole process. The study also finds that the resource bricolage plays a significant role in converting SMEs more open innovation oriented and fostering greater innovation. By doing so, this study provides noteworthy theoretical and managerial insights.


1999 ◽  
Vol 16 (2) ◽  
pp. v-ix
Author(s):  
AbdulHamid A. AbuSulayman

Any Muslim intellectual who has a serious concern for the relativelydeteriorating condition of the Muslim Ummah with respect to the WesternWorld would be depressed and confused. However, the recent history of theMuslim World shows how many determined reformist movements playeda positive role in changing the Muslim condition. But these movements metwith partial or limited success.It was in the late seventeenth, nineteenth, and early twentieth centuries,an ascendant Europe undermined and overran much of the UthmaniDuwlah (Ottoman Empire) and finally put an end to it, much to the shockand dismay of the Muslim World. The powerful European challenge andthis drastic event elicited two contrasting responses from the Muslim eliteand the masses. While many of them resorted to superficial imitation andinitiated capricious copycat reform movements, some harnessed the risingawareness and the attendant spirit of resistance to launch more genuineefforts and reform movements. Understandably, these efforts were conflicting,emotional, and limited in their scope but they eventually helpedMuslim societies to gain political independence in the post-World War IIera. At the heart of these reforms and political liberation was the Muslimpeoples’ desire to realize their Islamic, national, and cultural aspirationsalong with the hope of enjoying a standard of living comparable to that ofthe West.Unfortunately, these hopes were not achieved and the cultural reformscontinued to be emotional, arbitrary, and patchwork (talfiq). The conditionof the Muslim people continued to deteriorate and the gap between theWestern world and the Muslim world continued to widen. The former continuedto dominate and exploit that latter. All this proved that arbitrary,emotional, superficial, and limited patchwork reforms would not have aserious impact on the conditions of the Muslim people and will fail to realizetheir national or Islamic aspirations ...


2015 ◽  
Vol 8 (2) ◽  
pp. 142-164 ◽  
Author(s):  
Richard N. Landers ◽  
Tara S. Behrend

Sampling strategy has critical implications for the validity of a researcher's conclusions. Despite this, sampling is frequently neglected in research methods textbooks, during the research design process, and in the reporting of our journals. The lack of guidance on this issue often leads reviewers and journal editors to rely on simple rules of thumb, myth, and tradition for judgments about sampling, which promotes the unnecessary and counterproductive characterization of sampling strategies as universally “good” or “bad.” Such oversimplification, especially by journal editors and reviewers, slows the progress of the social sciences by considering legitimate data sources to be categorically unacceptable. Instead, we argue that sampling is better understood in methodological terms of range restriction and omitted variables bias. This considered approach has far-reaching implications because in industrial–organizational (I-O) psychology, as in most social sciences, virtually all of the samples are convenience samples. Organizational samples are not gold standard research sources; instead, they are merely a specific type of convenience sample with their own positive and negative implications for validity. This fact does not condemn the science of I-O psychology but does highlight the need for more careful consideration of how and when a finding may generalize based on the particular mix of validity-related affordances provided by each sample source that might be used to investigate a particular research question. We call for researchers to explore such considerations cautiously and explicitly both in the publication and in the review of research.


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