Role of communication technologies in broadacre agriculture in Australia: an empirical analysis using panel data
This paper examines the role of communication technologies (CTs) in Australian broadacre agricultural production using data over the period of 1990–2013. Allowing for cross-sectional independence in the data, the pooled mean group and augmented mean group techniques are applied to estimate dynamic r...
| Main Authors: | , , |
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| Format: | Journal Article |
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Blackwell Publishing Asia
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/29262 |
| _version_ | 1848752756659060736 |
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| author | Salim, Ruhul Mamum, S. Hassan, K. |
| author_facet | Salim, Ruhul Mamum, S. Hassan, K. |
| author_sort | Salim, Ruhul |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper examines the role of communication technologies (CTs) in Australian broadacre agricultural production using data over the period of 1990–2013. Allowing for cross-sectional independence in the data, the pooled mean group and augmented mean group techniques are applied to estimate dynamic relationships among variables. The empirical results demonstrate that CTs affect agricultural output positively in the long run. The estimated elasticity is 0.237. This result suggests that government policies that lift investment in telecommunication facilities are shown to contribute to an increase of output in Australia’s broadacre agriculture in the long run. |
| first_indexed | 2025-11-14T08:13:41Z |
| format | Journal Article |
| id | curtin-20.500.11937-29262 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:13:41Z |
| publishDate | 2015 |
| publisher | Blackwell Publishing Asia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-292622019-02-19T05:35:39Z Role of communication technologies in broadacre agriculture in Australia: an empirical analysis using panel data Salim, Ruhul Mamum, S. Hassan, K. co-integration information and communication technology agriculture production pooled mean group regression This paper examines the role of communication technologies (CTs) in Australian broadacre agricultural production using data over the period of 1990–2013. Allowing for cross-sectional independence in the data, the pooled mean group and augmented mean group techniques are applied to estimate dynamic relationships among variables. The empirical results demonstrate that CTs affect agricultural output positively in the long run. The estimated elasticity is 0.237. This result suggests that government policies that lift investment in telecommunication facilities are shown to contribute to an increase of output in Australia’s broadacre agriculture in the long run. 2015 Journal Article http://hdl.handle.net/20.500.11937/29262 10.1111/1467-8489.12114 Blackwell Publishing Asia fulltext |
| spellingShingle | co-integration information and communication technology agriculture production pooled mean group regression Salim, Ruhul Mamum, S. Hassan, K. Role of communication technologies in broadacre agriculture in Australia: an empirical analysis using panel data |
| title | Role of communication technologies in broadacre agriculture in Australia: an empirical analysis using panel data |
| title_full | Role of communication technologies in broadacre agriculture in Australia: an empirical analysis using panel data |
| title_fullStr | Role of communication technologies in broadacre agriculture in Australia: an empirical analysis using panel data |
| title_full_unstemmed | Role of communication technologies in broadacre agriculture in Australia: an empirical analysis using panel data |
| title_short | Role of communication technologies in broadacre agriculture in Australia: an empirical analysis using panel data |
| title_sort | role of communication technologies in broadacre agriculture in australia: an empirical analysis using panel data |
| topic | co-integration information and communication technology agriculture production pooled mean group regression |
| url | http://hdl.handle.net/20.500.11937/29262 |