Understanding export diversification key drivers and policy implications.
We identify key factors, from large set of potential determinants, that explain the variation in export diversification across countries and over time using Bayesian Model Averaging (BMA), which addresses model uncertainty and ranks factors in order of importance vis-a-vis their explanatory power. O...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
[Washington, D.C.]
International Monetary Fund,
[2019]
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| Series: | IMF working paper ;
WP/19/105. |
| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
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| 020 | |a 1498313086 | ||
| 020 | |a 1498315496 | ||
| 020 | |a 9781498313087 | ||
| 020 | |a 9781498315494 |q (electronic bk.) | ||
| 024 | 7 | |a 10.5089/9781498313087.001 |2 doi | |
| 050 | 4 | |a HF1414.4 |b .G57 2019 | |
| 082 | 0 | 4 | |a 658.84 |2 23 |
| 049 | |a MAIN | ||
| 100 | 1 | |a Giri, Rahul, |9 913182 | |
| 245 | 1 | 0 | |a Understanding export diversification |b key drivers and policy implications. |
| 264 | 1 | |a [Washington, D.C.] |b International Monetary Fund, |c [2019] | |
| 300 | |a 1 online resource (30 pages) | ||
| 490 | 1 | |a IMF Working Paper ; |v WP/19/105 | |
| 505 | 8 | |a Cover; contents; i. Introduction; ii. Related literature; iii. Methodology and data; iv. Stylized facts; v.drivers of export diversification: all countries and emdes; vi. Divers of export diversification: emde commodity exporters versus diversified exporters; vii. Doing business indicators and diversification; viii. Policy implications; ix. Conclusion; references; figures; 1. Diversification and development; 2. Diversification and potential determinants; 3. Diversification and potential determinants; tables; 1. Distribution statistics of diversification index | |
| 505 | 8 | |a 2. Baseline specification, all countries and EMDEs; 3. baseline specification, EMDEs -- Commodity and diversified exporters; 4. Baseline specification with doing business indicator | |
| 520 | 3 | |a We identify key factors, from large set of potential determinants, that explain the variation in export diversification across countries and over time using Bayesian Model Averaging (BMA), which addresses model uncertainty and ranks factors in order of importance vis-a-vis their explanatory power. Our analysis suggests, in order to diversify, policy makers should prioritize human capital accumulation and reduce barriers to trade. Other policy areas include improving quality of institutions and developing the financial sector. For commodity exporters reducing barriers to trade is the most important driver of diversification, followed by improving education outcomes at the secondary level and financial sector development. | |
| 588 | 0 | |a Print version record. | |
| 651 | 7 | |a Africa. |2 imf |9 280410 | |
| 653 | 0 | |a Diversification in industry. | |
| 653 | 0 | |a Exports. | |
| 653 | 7 | |a Diversification in industry. |2 fast |0 (OCoLC)fst00895700 | |
| 653 | 7 | |a Exports. |2 fast |0 (OCoLC)fst00918764 | |
| 653 | 7 | |a Globalization: Economic Development. |2 imf | |
| 653 | 7 | |a International Linkages to Development. |2 imf | |
| 653 | 7 | |a Models with Panel Data. |2 imf | |
| 653 | 7 | |a Role of International Organizations. |2 imf | |
| 655 | 0 | |a EBSCO eBooks |9 905790 | |
| 655 | 4 | |a Electronic books. |9 899821 | |
| 700 | 1 | |a Quayyum, Saad, |9 913183 | |
| 700 | 1 | |a Yin, Rujun, |9 913184 | |
| 710 | 2 | |a International Monetary Fund, |e issuing body. |9 173503 | |
| 830 | 0 | |a IMF working paper ; |v WP/19/105. |9 913013 | |
| 856 | 4 | 0 | |3 EBSCOhost |u https://www.lib.tsu.ru/limit/2023/EBSCO/2149509.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014139 | ||
| 910 | |a EBSCO eBooks | ||
| 999 | |c 1014139 |d 1014139 | ||
| 039 | |||