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Record W3007810417 · doi:10.33095/jeas.v26i117.1821

Economic Policies and Their Ability to Reform the Investment Climate Case Study Iraq After 2003

2020· article· ar· W3007810417 on OpenAlexaff
إكرام عبد العزيز عبد الوهاب

Bibliographic record

VenueJournal of Economics and Administrative Sciences · 2020
Typearticle
Languagear
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsNational Capital Commission
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The investment climate is the main engine of economic development. If an appropriate and attractive investment climate is created that takes into account economic, administrative, political and environmental issues, it will contribute to the development of industry, transfer of technology, diversification of agricultural production, increased productivity, the promotion of a green economy and support for sustainable and inclusive growth. Thus, analyzing the investment climate of a country can provide reasons and roots for the complexity of the problems in the economy. In the Iraqi economy, the problem has not been rooted in the economy, but the roots of the problem are deeper and inherent in the management of the economy. Investment in Iraq suffers from an irrational administration that has been reflected in complex imbalances in the Iraqi economy, thus creating an environment for expelling investment. In light of the foregoing, the research assumes that there are administrative, security, financial and monetary constraints, as well as the spread of corruption in all forms, which have hindered the expansion of the scope of investment and the diversity of its tracks due to its impact on the investment environment. The research has proved this hypothesis, in addition to improving the investment climate, depends on changing the overall methodology of administrative and economic policies, financial, monetary and how to coordinate with each other effectively. The research also found that the main reason for the poor management of the economy is the almost total absence of the pillars of good governance because of the negative factors that put pressure on it. And this led to the lack of a clear policy adopted by the government to improve the investment climate, national development plans have not been ratified by parliament and many of the strategies approved by the government lacked the appropriate mechanisms to implement them, therefore, the most important recommendation by the research is to instill and stabilize the basis of accountability rules, elements And their controls in the institutional environment, before any reform is initiated; in order to correct the course of macroeconomic management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.286
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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