Selected Factors Affecting the Subsectors of the Philippine Agriculture: A Panel Regression Analysis
The study examined the effects of exports to Gross Domestic Product (GDP), employment, and production loans granted in the GDP agriculture of the Philippines. This paper employed descriptive and quantitative techniques to analyze the behavior of GDP, production loans granted (PLG), exports to GDP (E...
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| Format: | Article |
| Language: | English |
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Institute of Industry and Academic Research Incorporated
2022-09-01
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| Series: | International Journal of Academe and Industry Research |
| Subjects: | |
| Online Access: | https://iiari.org/journal_article/selected-factors-affecting-the-subsectors-of-the-philippine-agriculture-a-panel-regression-analysis/ |
| _version_ | 1827981640000864256 |
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| author | Patrick R. Diaz |
| author_facet | Patrick R. Diaz |
| author_sort | Patrick R. Diaz |
| collection | DOAJ |
| description | The study examined the effects of exports to Gross Domestic Product (GDP), employment, and production loans granted in the GDP agriculture of the Philippines. This paper employed descriptive and quantitative techniques to analyze the behavior of GDP, production loans granted (PLG), exports to GDP (EGDP), and employment (EMP) from 2005 to 2015 totalling 33 observations of agriculture, forestry, and fishery sectors. Specifically, panel data analysis was used to assess the effects of APLG, EMP, GDPt-1 and AEGDPt-1 in GDP. The fixed effect model corrected from autocorrelation and heteroscedasticity, a one percentage unit increase in the exports to GDP, on the average, leads to Php 774.96 increase in the GDP, other things equal; and a one-unit increase in employment, on the average, leads to PhP23.55 increase in the GDP, other things equal; a one peso increase in the production loans granted lagged by one period, on the average, leads to Php 0.4760 increase in the GDP, other things equal. Using the fixed effect model, all the explanatory variables such as, exports to GDP, employment and production loans granted lagged by one period exhibited significant effect on the GDP agriculture. Hence, the model is considered satisfactory from statistical perspective. The results from the fixed effect model were consistent with the priori expectations that exports to GDP, employment and production loans granted lagged by one period positively affect the GDP agriculture. |
| first_indexed | 2024-04-09T22:12:22Z |
| format | Article |
| id | doaj.art-f36f59634bb54139abecf401ef722e74 |
| institution | Directory Open Access Journal |
| issn | 2719-0617 2719-0625 |
| language | English |
| last_indexed | 2024-04-09T22:12:22Z |
| publishDate | 2022-09-01 |
| publisher | Institute of Industry and Academic Research Incorporated |
| record_format | Article |
| series | International Journal of Academe and Industry Research |
| spelling | doaj.art-f36f59634bb54139abecf401ef722e742023-03-23T10:14:39ZengInstitute of Industry and Academic Research IncorporatedInternational Journal of Academe and Industry Research2719-06172719-06252022-09-0133436410.53378/352911Selected Factors Affecting the Subsectors of the Philippine Agriculture: A Panel Regression AnalysisPatrick R. Diaz0Polytechnic University of the PhilippinesThe study examined the effects of exports to Gross Domestic Product (GDP), employment, and production loans granted in the GDP agriculture of the Philippines. This paper employed descriptive and quantitative techniques to analyze the behavior of GDP, production loans granted (PLG), exports to GDP (EGDP), and employment (EMP) from 2005 to 2015 totalling 33 observations of agriculture, forestry, and fishery sectors. Specifically, panel data analysis was used to assess the effects of APLG, EMP, GDPt-1 and AEGDPt-1 in GDP. The fixed effect model corrected from autocorrelation and heteroscedasticity, a one percentage unit increase in the exports to GDP, on the average, leads to Php 774.96 increase in the GDP, other things equal; and a one-unit increase in employment, on the average, leads to PhP23.55 increase in the GDP, other things equal; a one peso increase in the production loans granted lagged by one period, on the average, leads to Php 0.4760 increase in the GDP, other things equal. Using the fixed effect model, all the explanatory variables such as, exports to GDP, employment and production loans granted lagged by one period exhibited significant effect on the GDP agriculture. Hence, the model is considered satisfactory from statistical perspective. The results from the fixed effect model were consistent with the priori expectations that exports to GDP, employment and production loans granted lagged by one period positively affect the GDP agriculture.https://iiari.org/journal_article/selected-factors-affecting-the-subsectors-of-the-philippine-agriculture-a-panel-regression-analysis/agriculturegdpexportsproduction loansemployment |
| spellingShingle | Patrick R. Diaz Selected Factors Affecting the Subsectors of the Philippine Agriculture: A Panel Regression Analysis International Journal of Academe and Industry Research agriculture gdp exports production loans employment |
| title | Selected Factors Affecting the Subsectors of the Philippine Agriculture: A Panel Regression Analysis |
| title_full | Selected Factors Affecting the Subsectors of the Philippine Agriculture: A Panel Regression Analysis |
| title_fullStr | Selected Factors Affecting the Subsectors of the Philippine Agriculture: A Panel Regression Analysis |
| title_full_unstemmed | Selected Factors Affecting the Subsectors of the Philippine Agriculture: A Panel Regression Analysis |
| title_short | Selected Factors Affecting the Subsectors of the Philippine Agriculture: A Panel Regression Analysis |
| title_sort | selected factors affecting the subsectors of the philippine agriculture a panel regression analysis |
| topic | agriculture gdp exports production loans employment |
| url | https://iiari.org/journal_article/selected-factors-affecting-the-subsectors-of-the-philippine-agriculture-a-panel-regression-analysis/ |
| work_keys_str_mv | AT patrickrdiaz selectedfactorsaffectingthesubsectorsofthephilippineagricultureapanelregressionanalysis |