| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 366 | 18 | 31 | 6 |
Spatial Economic Analysis primarily focuses on research topics in Econometrics, Spatial econometrics, Economic geography, Economy and Statistics. Issues in Econometrics were discussed, taking into consideration concepts from other disciplines like Estimator and Spatial dependence. The journal emphasizes research on Estimator, which includes concerns such as Generalized method of moments.
Spatial Economic Analysis connects research in Spatial econometrics with the related topic of Econometric model. The study on Economic geography presented is investigated in conjunction with research in Economies of agglomeration. Economy study tackled is connected to the field of Welfare economics.
Spatial Economic Analysis features studies on Statistics, including topics such as Monte Carlo method.
The journal papers generally zeroe in on subjects such as Econometrics, Spatial econometrics, Panel data, Economic geography and Estimation. The published papers feature studies on Econometrics, including topics such as Autoregressive model. In addition to Spatial econometrics research, the most cited papers aim to explore topics under Kriging, Raising (linguistics) and Convergence (economics), Conditional convergence.
The topics of Econometrics, Economic geography, Autoregressive model, Spatial econometrics and Spatial dependence are the focal point of discussions in the journal. Aside from discussions in Econometrics, Spatial Economic Analysis also deals with the subject of Distribution (economics) which intersects with Variogram and Inference disciplines. Issues in Economic geography were discussed, taking into consideration concepts from other disciplines like Mergers and acquisitions and Relevance (information retrieval).
It holds forums on Autoregressive model that merges themes from other disciplines such as Indirect Inference, Production (economics), Disturbance (geology) and Ordinary least squares. In the journal, Complex system and Dimension (data warehouse) are investigated in conjunction with one another to address concerns in Spatial econometrics research. Topics in Spatial dependence explored in Spatial Economic Analysis were investigated in conjunction with research in Spatial filter, Principal component analysis and Empowerment.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Spatial Economic Analysis (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Spatial Economic Analysis (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 4.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.15% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.44% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 36.59% of all publications and 26.83% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
One particularly integral yet often under-treated dimension of research in the domain of Spatial Economic Analysis is its relation with Accounting principles. The complex interplay of Spatial Econometrics, Economic Geography, and Microeconomics often requires a solid foundation in Accounting concepts to ensure proper comprehension and application. To illustrate, a study examining the dynamic spillover effects of economical geographical locations may require reference to accounting principles to evaluate the economic consequences of different locations. An example of one such intersection within the field can be found in the research on Welfare economics, wherein the issues of financial accountability and budgeting are of utmost importance. Researchers and practitioners dealing with this area often have to make an accurate analysis of various economic situations that demand a profound knowledge of accounting principles, techniques, and practices. Thus, a strong base in accounting can significantly enhance one's proficiency in managing public or private sector economics. For individuals interested in expanding their accounting knowledge while studying spatial economics, considering institutions that excel in this field can provide an excellent foundation for understanding the intricate relationship between these disciplines. One such resource could be the list of the [best accounting schools in Delaware](https://research.com/degrees/best-accounting-schools-in-delaware), offering research-intensive programs that cultivate critical thinking and technical skills in accounting in relation to spatial analysis. To sum up, while Spatial Economic Analysis provides significant insights into the spatial dimension of economic activities, integrating accounting principles into this domain of study adds depth and practicality to the economic analyses. Hence, it is imperative for researchers and practitioners in this field to have a good grasp of accounting principles to effectively contribute to the multidisciplinary body of knowledge.
Zheng Tian;Paul D. Gottlieb;Stephan J. Goetz
(2020)Amitrajeet A. Batabyal;Henk Folmer
(2020)Francisco Estrada;W. J. Wouter Botzen;Oscar Calderon-Bustamante
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