Scrutinizing the LCC Hypothesis in ASEAN-5: An Innovative Exploration Integrating Energy Intensity, Global Trade Dynamics, and Financial Inclusion Using DKSE and Quantile Regression Article Swipe
Mohammad Ridwan
,
Nazhat Nury Aspy
,
Tasfia Mahjabin
,
Md. Eleais
,
Mohd Shahidan Shaari
,
Abdul Rahim Ridzuan
,
Jaheer Mukthar K P
,
Mohd Shah
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-4800964/v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-4800964/v1
This study investigates how economic growth, energy intensity, financial inclusion, and trade globalization impact the load capacity factor in the ASEAN-5 region. Using data from 2000 to 2022 from reputable databases, the study analyzed the load capacity curve (LCC) hypothesis through comprehensive statistical analysis. Several diagnostic tests, such as cross-sectional dependence, slope homogeneity, unit root, and cointegration, to select a suitable long-run estimation model were conducted. The study utilized the Driscoll-Kraay standard error (DKSE) approach to address identified issues like cross-sectional dependence, heterogeneity, and unit root problems. DKSE estimation showed that the LCC hypothesis was not present in the ASEAN-5 region. It is worth noting that an inverted-U-shaped relationship between per capita income and the load capacity factor was found, emphasizing the complexity of economic dynamics in the region. Furthermore, the analysis revealed a strong correlation between energy intensity and the load capacity factor, with trade globalization having a significant negative effect. Surprisingly, financial inclusion did not show a significant correlation with the load capacity factor, highlighting the intricate role of financial accessibility in economic performance. To enhance the strength of the DKSE estimation, the study also utilized quantile regression analysis, which supported the results of the DKSE approach. The study confirmed that the LCC hypothesis is not applicable in the ASEAN-5 region and offered a more detailed analysis of the varying effects of energy intensity and trade globalization at different levels. Conclusively, this study provides valuable insights into the complex relationships among economic growth, energy intensity, financial inclusion, and trade globalization in the ASEAN-5 region. A thorough analytical approach enhances comprehension of sustainable development and economic resilience in the region, guiding policy decisions and future research efforts. JEL: Q43, G21, F14, D24, F15
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-4800964/v1
- https://www.researchsquare.com/article/rs-4800964/latest.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 111
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401867811
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4401867811Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-4800964/v1Digital Object Identifier
- Title
-
Scrutinizing the LCC Hypothesis in ASEAN-5: An Innovative Exploration Integrating Energy Intensity, Global Trade Dynamics, and Financial Inclusion Using DKSE and Quantile RegressionWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-26Full publication date if available
- Authors
-
Mohammad Ridwan, Nazhat Nury Aspy, Tasfia Mahjabin, Md. Eleais, Mohd Shahidan Shaari, Abdul Rahim Ridzuan, Jaheer Mukthar K P, Mohd ShahList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-4800964/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-4800964/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-4800964/latest.pdfDirect OA link when available
- Concepts
-
Quantile regression, Quantile, Inclusion (mineral), Econometrics, Economics, Regression, Dynamics (music), Intensity (physics), Financial inclusion, Statistics, Financial services, Mathematics, Finance, Psychology, Physics, Pedagogy, Social psychology, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
111Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4401867811 |
|---|---|
| doi | https://doi.org/10.21203/rs.3.rs-4800964/v1 |
| ids.doi | https://doi.org/10.21203/rs.3.rs-4800964/v1 |
| ids.openalex | https://openalex.org/W4401867811 |
| fwci | 0.99967581 |
| type | preprint |
| title | Scrutinizing the LCC Hypothesis in ASEAN-5: An Innovative Exploration Integrating Energy Intensity, Global Trade Dynamics, and Financial Inclusion Using DKSE and Quantile Regression |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10438 |
| topics[0].field.id | https://openalex.org/fields/20 |
| topics[0].field.display_name | Economics, Econometrics and Finance |
| topics[0].score | 0.9984999895095825 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2002 |
| topics[0].subfield.display_name | Economics and Econometrics |
| topics[0].display_name | Energy, Environment, Economic Growth |
| topics[1].id | https://openalex.org/T10007 |
| topics[1].field.id | https://openalex.org/fields/20 |
| topics[1].field.display_name | Economics, Econometrics and Finance |
| topics[1].score | 0.9919999837875366 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2000 |
| topics[1].subfield.display_name | General Economics, Econometrics and Finance |
| topics[1].display_name | Monetary Policy and Economic Impact |
| topics[2].id | https://openalex.org/T10128 |
| topics[2].field.id | https://openalex.org/fields/20 |
| topics[2].field.display_name | Economics, Econometrics and Finance |
| topics[2].score | 0.991599977016449 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2000 |
| topics[2].subfield.display_name | General Economics, Econometrics and Finance |
| topics[2].display_name | Global trade and economics |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C63817138 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8008449077606201 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q3455889 |
| concepts[0].display_name | Quantile regression |
| concepts[1].id | https://openalex.org/C118671147 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6406358480453491 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q578714 |
| concepts[1].display_name | Quantile |
| concepts[2].id | https://openalex.org/C109359841 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5897848606109619 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q728944 |
| concepts[2].display_name | Inclusion (mineral) |
| concepts[3].id | https://openalex.org/C149782125 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5225653052330017 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[3].display_name | Econometrics |
| concepts[4].id | https://openalex.org/C162324750 |
| concepts[4].level | 0 |
| concepts[4].score | 0.48277774453163147 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[4].display_name | Economics |
| concepts[5].id | https://openalex.org/C83546350 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4805036783218384 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1139051 |
| concepts[5].display_name | Regression |
| concepts[6].id | https://openalex.org/C145912823 |
| concepts[6].level | 2 |
| concepts[6].score | 0.42361706495285034 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q113558 |
| concepts[6].display_name | Dynamics (music) |
| concepts[7].id | https://openalex.org/C93038891 |
| concepts[7].level | 2 |
| concepts[7].score | 0.42172369360923767 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1061524 |
| concepts[7].display_name | Intensity (physics) |
| concepts[8].id | https://openalex.org/C2779251847 |
| concepts[8].level | 3 |
| concepts[8].score | 0.4140441417694092 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q60852 |
| concepts[8].display_name | Financial inclusion |
| concepts[9].id | https://openalex.org/C105795698 |
| concepts[9].level | 1 |
| concepts[9].score | 0.18684661388397217 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[9].display_name | Statistics |
| concepts[10].id | https://openalex.org/C139043278 |
| concepts[10].level | 2 |
| concepts[10].score | 0.1780065894126892 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q837171 |
| concepts[10].display_name | Financial services |
| concepts[11].id | https://openalex.org/C33923547 |
| concepts[11].level | 0 |
| concepts[11].score | 0.1627832055091858 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[11].display_name | Mathematics |
| concepts[12].id | https://openalex.org/C10138342 |
| concepts[12].level | 1 |
| concepts[12].score | 0.14030393958091736 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q43015 |
| concepts[12].display_name | Finance |
| concepts[13].id | https://openalex.org/C15744967 |
| concepts[13].level | 0 |
| concepts[13].score | 0.11941123008728027 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[13].display_name | Psychology |
| concepts[14].id | https://openalex.org/C121332964 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0845743715763092 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[14].display_name | Physics |
| concepts[15].id | https://openalex.org/C19417346 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7922 |
| concepts[15].display_name | Pedagogy |
| concepts[16].id | https://openalex.org/C77805123 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q161272 |
| concepts[16].display_name | Social psychology |
| concepts[17].id | https://openalex.org/C62520636 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[17].display_name | Quantum mechanics |
| keywords[0].id | https://openalex.org/keywords/quantile-regression |
| keywords[0].score | 0.8008449077606201 |
| keywords[0].display_name | Quantile regression |
| keywords[1].id | https://openalex.org/keywords/quantile |
| keywords[1].score | 0.6406358480453491 |
| keywords[1].display_name | Quantile |
| keywords[2].id | https://openalex.org/keywords/inclusion |
| keywords[2].score | 0.5897848606109619 |
| keywords[2].display_name | Inclusion (mineral) |
| keywords[3].id | https://openalex.org/keywords/econometrics |
| keywords[3].score | 0.5225653052330017 |
| keywords[3].display_name | Econometrics |
| keywords[4].id | https://openalex.org/keywords/economics |
| keywords[4].score | 0.48277774453163147 |
| keywords[4].display_name | Economics |
| keywords[5].id | https://openalex.org/keywords/regression |
| keywords[5].score | 0.4805036783218384 |
| keywords[5].display_name | Regression |
| keywords[6].id | https://openalex.org/keywords/dynamics |
| keywords[6].score | 0.42361706495285034 |
| keywords[6].display_name | Dynamics (music) |
| keywords[7].id | https://openalex.org/keywords/intensity |
| keywords[7].score | 0.42172369360923767 |
| keywords[7].display_name | Intensity (physics) |
| keywords[8].id | https://openalex.org/keywords/financial-inclusion |
| keywords[8].score | 0.4140441417694092 |
| keywords[8].display_name | Financial inclusion |
| keywords[9].id | https://openalex.org/keywords/statistics |
| keywords[9].score | 0.18684661388397217 |
| keywords[9].display_name | Statistics |
| keywords[10].id | https://openalex.org/keywords/financial-services |
| keywords[10].score | 0.1780065894126892 |
| keywords[10].display_name | Financial services |
| keywords[11].id | https://openalex.org/keywords/mathematics |
| keywords[11].score | 0.1627832055091858 |
| keywords[11].display_name | Mathematics |
| keywords[12].id | https://openalex.org/keywords/finance |
| keywords[12].score | 0.14030393958091736 |
| keywords[12].display_name | Finance |
| keywords[13].id | https://openalex.org/keywords/psychology |
| keywords[13].score | 0.11941123008728027 |
| keywords[13].display_name | Psychology |
| keywords[14].id | https://openalex.org/keywords/physics |
| keywords[14].score | 0.0845743715763092 |
| keywords[14].display_name | Physics |
| language | en |
| locations[0].id | doi:10.21203/rs.3.rs-4800964/v1 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.researchsquare.com/article/rs-4800964/latest.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.21203/rs.3.rs-4800964/v1 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5087902082 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2239-2706 |
| authorships[0].author.display_name | Mohammad Ridwan |
| authorships[0].countries | BD |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I315729180 |
| authorships[0].affiliations[0].raw_affiliation_string | Noakhali Science and Technology University |
| authorships[0].institutions[0].id | https://openalex.org/I315729180 |
| authorships[0].institutions[0].ror | https://ror.org/05q9we431 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I315729180 |
| authorships[0].institutions[0].country_code | BD |
| authorships[0].institutions[0].display_name | Noakhali Science and Technology University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Mohammad Ridwan |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Noakhali Science and Technology University |
| authorships[1].author.id | https://openalex.org/A5093099209 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Nazhat Nury Aspy |
| authorships[1].countries | BD |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I315729180 |
| authorships[1].affiliations[0].raw_affiliation_string | Noakhali Science and Technology University |
| authorships[1].institutions[0].id | https://openalex.org/I315729180 |
| authorships[1].institutions[0].ror | https://ror.org/05q9we431 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I315729180 |
| authorships[1].institutions[0].country_code | BD |
| authorships[1].institutions[0].display_name | Noakhali Science and Technology University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Nazhat Nury Aspy |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Noakhali Science and Technology University |
| authorships[2].author.id | https://openalex.org/A5108867941 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Tasfia Mahjabin |
| authorships[2].countries | BD |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I315729180 |
| authorships[2].affiliations[0].raw_affiliation_string | Noakhali Science and Technology University |
| authorships[2].institutions[0].id | https://openalex.org/I315729180 |
| authorships[2].institutions[0].ror | https://ror.org/05q9we431 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I315729180 |
| authorships[2].institutions[0].country_code | BD |
| authorships[2].institutions[0].display_name | Noakhali Science and Technology University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Tasfia Mahjabin |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Noakhali Science and Technology University |
| authorships[3].author.id | https://openalex.org/A5093855454 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Md. Eleais |
| authorships[3].countries | BD |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I315729180 |
| authorships[3].affiliations[0].raw_affiliation_string | Noakhali Science and Technology University |
| authorships[3].institutions[0].id | https://openalex.org/I315729180 |
| authorships[3].institutions[0].ror | https://ror.org/05q9we431 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I315729180 |
| authorships[3].institutions[0].country_code | BD |
| authorships[3].institutions[0].display_name | Noakhali Science and Technology University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Md. Eleais |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Noakhali Science and Technology University |
| authorships[4].author.id | https://openalex.org/A5015890420 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-7032-1908 |
| authorships[4].author.display_name | Mohd Shahidan Shaari |
| authorships[4].countries | MY |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I65079550 |
| authorships[4].affiliations[0].raw_affiliation_string | Universiti Malaysia Perlis |
| authorships[4].institutions[0].id | https://openalex.org/I65079550 |
| authorships[4].institutions[0].ror | https://ror.org/00xmkb790 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I65079550 |
| authorships[4].institutions[0].country_code | MY |
| authorships[4].institutions[0].display_name | Universiti Malaysia Perlis |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Mohd Shahidan Shaari |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Universiti Malaysia Perlis |
| authorships[5].author.id | https://openalex.org/A5052121209 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-1510-895X |
| authorships[5].author.display_name | Abdul Rahim Ridzuan |
| authorships[5].countries | MY |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I82724352 |
| authorships[5].affiliations[0].raw_affiliation_string | Universiti Teknologi MARA |
| authorships[5].institutions[0].id | https://openalex.org/I82724352 |
| authorships[5].institutions[0].ror | https://ror.org/05n8tts92 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I82724352 |
| authorships[5].institutions[0].country_code | MY |
| authorships[5].institutions[0].display_name | Universiti Teknologi MARA |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Abdul Rahim Ridzuan |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Universiti Teknologi MARA |
| authorships[6].author.id | https://openalex.org/A5029809024 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Jaheer Mukthar K P |
| authorships[6].affiliations[0].raw_affiliation_string | Kristu Jayanti College Autonomous |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Jaheer Mukthar K P |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Kristu Jayanti College Autonomous |
| authorships[7].author.id | https://openalex.org/A5102353170 |
| authorships[7].author.orcid | |
| authorships[7].author.display_name | Mohd Shah |
| authorships[7].countries | AF |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I3131024953 |
| authorships[7].affiliations[0].raw_affiliation_string | Kardan University |
| authorships[7].institutions[0].id | https://openalex.org/I3131024953 |
| authorships[7].institutions[0].ror | https://ror.org/04vts6h49 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I3131024953 |
| authorships[7].institutions[0].country_code | AF |
| authorships[7].institutions[0].display_name | Kardan University |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Mohd Asif Shah |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Kardan University |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.researchsquare.com/article/rs-4800964/latest.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Scrutinizing the LCC Hypothesis in ASEAN-5: An Innovative Exploration Integrating Energy Intensity, Global Trade Dynamics, and Financial Inclusion Using DKSE and Quantile Regression |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10438 |
| primary_topic.field.id | https://openalex.org/fields/20 |
| primary_topic.field.display_name | Economics, Econometrics and Finance |
| primary_topic.score | 0.9984999895095825 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2002 |
| primary_topic.subfield.display_name | Economics and Econometrics |
| primary_topic.display_name | Energy, Environment, Economic Growth |
| related_works | https://openalex.org/W4206511378, https://openalex.org/W4206618949, https://openalex.org/W2526321210, https://openalex.org/W3205863630, https://openalex.org/W4318833145, https://openalex.org/W2364275385, https://openalex.org/W4388704167, https://openalex.org/W2007977664, https://openalex.org/W4376874882, https://openalex.org/W2224749288 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.21203/rs.3.rs-4800964/v1 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.researchsquare.com/article/rs-4800964/latest.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.21203/rs.3.rs-4800964/v1 |
| primary_location.id | doi:10.21203/rs.3.rs-4800964/v1 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.researchsquare.com/article/rs-4800964/latest.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.21203/rs.3.rs-4800964/v1 |
| publication_date | 2024-08-26 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W3001506066, https://openalex.org/W2219751979, https://openalex.org/W4206295350, https://openalex.org/W3139414872, https://openalex.org/W4311632360, https://openalex.org/W3092777880, https://openalex.org/W3015661206, https://openalex.org/W3093716049, https://openalex.org/W4285676740, https://openalex.org/W2946778077, https://openalex.org/W2623117128, https://openalex.org/W1999077655, https://openalex.org/W2791887793, https://openalex.org/W4375853117, https://openalex.org/W2944554649, https://openalex.org/W3162531431, https://openalex.org/W2167175825, https://openalex.org/W2034899155, https://openalex.org/W4384163860, https://openalex.org/W3109277621, https://openalex.org/W1987019268, https://openalex.org/W3012686969, https://openalex.org/W4308489364, https://openalex.org/W3004969894, https://openalex.org/W2287244756, https://openalex.org/W4206244247, https://openalex.org/W1775918709, https://openalex.org/W2022220920, https://openalex.org/W2953927955, https://openalex.org/W4389417093, https://openalex.org/W3209491507, https://openalex.org/W2085596282, https://openalex.org/W1527990863, https://openalex.org/W3132151802, https://openalex.org/W2785400778, https://openalex.org/W2936669153, https://openalex.org/W2949134110, https://openalex.org/W2170433190, https://openalex.org/W4308384288, https://openalex.org/W2886482966, https://openalex.org/W4387813033, https://openalex.org/W4376880106, https://openalex.org/W2125331782, https://openalex.org/W3125079905, https://openalex.org/W2110842229, https://openalex.org/W4386280270, https://openalex.org/W3214532245, https://openalex.org/W6823589455, https://openalex.org/W3139541505, https://openalex.org/W2959352652, https://openalex.org/W3003881918, https://openalex.org/W2807079308, https://openalex.org/W2410499215, https://openalex.org/W2908364800, https://openalex.org/W2577336169, https://openalex.org/W4380084364, https://openalex.org/W4206027077, https://openalex.org/W4224236131, https://openalex.org/W3137905081, https://openalex.org/W4308075712, https://openalex.org/W3092410148, https://openalex.org/W3216612696, https://openalex.org/W4283453639, https://openalex.org/W4200081402, https://openalex.org/W3091968333, https://openalex.org/W4319068656, https://openalex.org/W4307724064, https://openalex.org/W3161793509, https://openalex.org/W3202703172, https://openalex.org/W4319870520, https://openalex.org/W4313503649, https://openalex.org/W4312084338, https://openalex.org/W4367309132, https://openalex.org/W4385879574, https://openalex.org/W2161007982, https://openalex.org/W2124884000, https://openalex.org/W2115760010, https://openalex.org/W2123136623, https://openalex.org/W3123095200, https://openalex.org/W2991903642, https://openalex.org/W4321788087, https://openalex.org/W3194894798, https://openalex.org/W2974502382, https://openalex.org/W2953378142, https://openalex.org/W4306769992, https://openalex.org/W4226508226, https://openalex.org/W3037501734, https://openalex.org/W3203956175, https://openalex.org/W2024828896, https://openalex.org/W2031236731, https://openalex.org/W2064067842, https://openalex.org/W4383315775, https://openalex.org/W3158159607, https://openalex.org/W3021592798, https://openalex.org/W3082194902, https://openalex.org/W3095455062, https://openalex.org/W4381887740, https://openalex.org/W2994109319, https://openalex.org/W2901988147, https://openalex.org/W2792040396, https://openalex.org/W2126383263, https://openalex.org/W2147422150, https://openalex.org/W4210790027, https://openalex.org/W2068080135, https://openalex.org/W4386698954, https://openalex.org/W4281761468, https://openalex.org/W3135011092, https://openalex.org/W2422477401, https://openalex.org/W4384382798, https://openalex.org/W4235571227, https://openalex.org/W3124091918 |
| referenced_works_count | 111 |
| abstract_inverted_index.A | 257 |
| abstract_inverted_index.a | 60, 134, 149, 159, 216 |
| abstract_inverted_index.It | 102 |
| abstract_inverted_index.To | 177 |
| abstract_inverted_index.an | 107 |
| abstract_inverted_index.as | 49 |
| abstract_inverted_index.at | 230 |
| abstract_inverted_index.in | 19, 98, 127, 174, 210, 253, 269 |
| abstract_inverted_index.is | 103, 207 |
| abstract_inverted_index.of | 124, 171, 181, 196, 220, 224, 263 |
| abstract_inverted_index.to | 27, 58, 76 |
| abstract_inverted_index.F15 | 284 |
| abstract_inverted_index.LCC | 93, 205 |
| abstract_inverted_index.The | 67, 200 |
| abstract_inverted_index.and | 11, 56, 84, 114, 140, 214, 227, 250, 266, 275 |
| abstract_inverted_index.did | 156 |
| abstract_inverted_index.how | 4 |
| abstract_inverted_index.not | 96, 157, 208 |
| abstract_inverted_index.per | 111 |
| abstract_inverted_index.the | 15, 20, 32, 35, 70, 92, 99, 115, 122, 128, 131, 141, 163, 168, 179, 182, 185, 194, 197, 204, 211, 221, 240, 254, 270 |
| abstract_inverted_index.was | 95, 119 |
| abstract_inverted_index.2000 | 26 |
| abstract_inverted_index.2022 | 28 |
| abstract_inverted_index.D24, | 283 |
| abstract_inverted_index.DKSE | 88, 183, 198 |
| abstract_inverted_index.F14, | 282 |
| abstract_inverted_index.G21, | 281 |
| abstract_inverted_index.JEL: | 279 |
| abstract_inverted_index.Q43, | 280 |
| abstract_inverted_index.This | 1 |
| abstract_inverted_index.also | 187 |
| abstract_inverted_index.data | 24 |
| abstract_inverted_index.from | 25, 29 |
| abstract_inverted_index.into | 239 |
| abstract_inverted_index.like | 80 |
| abstract_inverted_index.load | 16, 36, 116, 142, 164 |
| abstract_inverted_index.more | 217 |
| abstract_inverted_index.role | 170 |
| abstract_inverted_index.root | 86 |
| abstract_inverted_index.show | 158 |
| abstract_inverted_index.such | 48 |
| abstract_inverted_index.that | 91, 106, 203 |
| abstract_inverted_index.this | 234 |
| abstract_inverted_index.unit | 54, 85 |
| abstract_inverted_index.were | 65 |
| abstract_inverted_index.with | 145, 162 |
| abstract_inverted_index.(LCC) | 39 |
| abstract_inverted_index.Using | 23 |
| abstract_inverted_index.among | 243 |
| abstract_inverted_index.curve | 38 |
| abstract_inverted_index.error | 73 |
| abstract_inverted_index.model | 64 |
| abstract_inverted_index.root, | 55 |
| abstract_inverted_index.slope | 52 |
| abstract_inverted_index.study | 2, 33, 68, 186, 201, 235 |
| abstract_inverted_index.trade | 12, 146, 228, 251 |
| abstract_inverted_index.which | 192 |
| abstract_inverted_index.worth | 104 |
| abstract_inverted_index.(DKSE) | 74 |
| abstract_inverted_index.capita | 112 |
| abstract_inverted_index.energy | 7, 138, 225, 246 |
| abstract_inverted_index.factor | 18, 118 |
| abstract_inverted_index.found, | 120 |
| abstract_inverted_index.future | 276 |
| abstract_inverted_index.having | 148 |
| abstract_inverted_index.impact | 14 |
| abstract_inverted_index.income | 113 |
| abstract_inverted_index.issues | 79 |
| abstract_inverted_index.noting | 105 |
| abstract_inverted_index.policy | 273 |
| abstract_inverted_index.region | 213 |
| abstract_inverted_index.select | 59 |
| abstract_inverted_index.showed | 90 |
| abstract_inverted_index.strong | 135 |
| abstract_inverted_index.tests, | 47 |
| abstract_inverted_index.ASEAN-5 | 21, 100, 212, 255 |
| abstract_inverted_index.Several | 45 |
| abstract_inverted_index.address | 77 |
| abstract_inverted_index.between | 110, 137 |
| abstract_inverted_index.complex | 241 |
| abstract_inverted_index.effect. | 152 |
| abstract_inverted_index.effects | 223 |
| abstract_inverted_index.enhance | 178 |
| abstract_inverted_index.factor, | 144, 166 |
| abstract_inverted_index.growth, | 6, 245 |
| abstract_inverted_index.guiding | 272 |
| abstract_inverted_index.levels. | 232 |
| abstract_inverted_index.offered | 215 |
| abstract_inverted_index.present | 97 |
| abstract_inverted_index.region, | 271 |
| abstract_inverted_index.region. | 22, 101, 129, 256 |
| abstract_inverted_index.results | 195 |
| abstract_inverted_index.through | 41 |
| abstract_inverted_index.varying | 222 |
| abstract_inverted_index.analysis | 132, 219 |
| abstract_inverted_index.analyzed | 34 |
| abstract_inverted_index.approach | 75, 260 |
| abstract_inverted_index.capacity | 17, 37, 117, 143, 165 |
| abstract_inverted_index.detailed | 218 |
| abstract_inverted_index.dynamics | 126 |
| abstract_inverted_index.economic | 5, 125, 175, 244, 267 |
| abstract_inverted_index.efforts. | 278 |
| abstract_inverted_index.enhances | 261 |
| abstract_inverted_index.insights | 238 |
| abstract_inverted_index.long-run | 62 |
| abstract_inverted_index.negative | 151 |
| abstract_inverted_index.provides | 236 |
| abstract_inverted_index.quantile | 189 |
| abstract_inverted_index.research | 277 |
| abstract_inverted_index.revealed | 133 |
| abstract_inverted_index.standard | 72 |
| abstract_inverted_index.strength | 180 |
| abstract_inverted_index.suitable | 61 |
| abstract_inverted_index.thorough | 258 |
| abstract_inverted_index.utilized | 69, 188 |
| abstract_inverted_index.valuable | 237 |
| abstract_inverted_index.analysis, | 191 |
| abstract_inverted_index.analysis. | 44 |
| abstract_inverted_index.approach. | 199 |
| abstract_inverted_index.confirmed | 202 |
| abstract_inverted_index.decisions | 274 |
| abstract_inverted_index.different | 231 |
| abstract_inverted_index.financial | 9, 154, 172, 248 |
| abstract_inverted_index.inclusion | 155 |
| abstract_inverted_index.intensity | 139, 226 |
| abstract_inverted_index.intricate | 169 |
| abstract_inverted_index.problems. | 87 |
| abstract_inverted_index.reputable | 30 |
| abstract_inverted_index.supported | 193 |
| abstract_inverted_index.analytical | 259 |
| abstract_inverted_index.applicable | 209 |
| abstract_inverted_index.complexity | 123 |
| abstract_inverted_index.conducted. | 66 |
| abstract_inverted_index.databases, | 31 |
| abstract_inverted_index.diagnostic | 46 |
| abstract_inverted_index.estimation | 63, 89 |
| abstract_inverted_index.hypothesis | 40, 94, 206 |
| abstract_inverted_index.identified | 78 |
| abstract_inverted_index.inclusion, | 10, 249 |
| abstract_inverted_index.intensity, | 8, 247 |
| abstract_inverted_index.regression | 190 |
| abstract_inverted_index.resilience | 268 |
| abstract_inverted_index.correlation | 136, 161 |
| abstract_inverted_index.dependence, | 51, 82 |
| abstract_inverted_index.development | 265 |
| abstract_inverted_index.emphasizing | 121 |
| abstract_inverted_index.estimation, | 184 |
| abstract_inverted_index.significant | 150, 160 |
| abstract_inverted_index.statistical | 43 |
| abstract_inverted_index.sustainable | 264 |
| abstract_inverted_index.Furthermore, | 130 |
| abstract_inverted_index.highlighting | 167 |
| abstract_inverted_index.homogeneity, | 53 |
| abstract_inverted_index.investigates | 3 |
| abstract_inverted_index.performance. | 176 |
| abstract_inverted_index.relationship | 109 |
| abstract_inverted_index.Conclusively, | 233 |
| abstract_inverted_index.Surprisingly, | 153 |
| abstract_inverted_index.accessibility | 173 |
| abstract_inverted_index.comprehension | 262 |
| abstract_inverted_index.comprehensive | 42 |
| abstract_inverted_index.globalization | 13, 147, 229, 252 |
| abstract_inverted_index.relationships | 242 |
| abstract_inverted_index.Driscoll-Kraay | 71 |
| abstract_inverted_index.cointegration, | 57 |
| abstract_inverted_index.heterogeneity, | 83 |
| abstract_inverted_index.cross-sectional | 50, 81 |
| abstract_inverted_index.inverted-U-shaped | 108 |
| abstract_inverted_index.<title>Abstract</title> | 0 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.86033762 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |