AndreaBozzo/ceres-open-data-index huggingface dataset:
Australia's forests at a glance 2014

Australia's Forests at a Glance 2014 is a pocket-book compendium of data and information about Australia's native forests and industrial plantations. Much of the data is current to 2012-13 and all has been published in detailed reports. 

 The pocket-book covers forest types, areas and how native forests - including old growth forests - are conserved and managed. It also covers wood harvesting, production and consumption of wood products and employment in the forestry and wood products industries, forest certification and codes of practice. 

Tags: Australian forest, FORESTS, FORESTS Agroforestry, FORESTS Natural, FORESTS Plantation, FORESTS production, FORESTS statistics, Farming, Forest at a glance, National Forest Inventory and National Plantation Inventory, Paper and paperboard, carbon, fire, forest certification and codes of practice, forest industry employment, imports of wood products, log volume harvested, markets, native forest area, native forest tenure and ownership, nature conservation reserves, plantation forest area, plantation forests, sawn wood, timber harvesting, total land area, types and class of forest, wood products statistics
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Australian fisheries economic indicators report 2017: Financial and economic performance of the Eastern Tuna and Billfish Fishery

The  Australian fisheries economic indicators report  expands on and takes the place of the long running ABARES  Australian fisheries surveys report. The report presents results from ABARES' fishery surveys on financial returns to fishers and net economic returns from fisheries to the Australian community. The report includes a range of other economic indicators, including productivity analysis. 

 This report covers the Eastern Tuna and Billfish Fishery (ETBF), with new survey results for the 2013-14 and 2014-15 financial years and non-survey based estimates of net economic return for the 2015-16 and 2016-17 financial years. 

 Key issues  
• Financial performance of the average vessel ETBF operator improved between 2013-14 and 2014-15. Profit at full equity increased significantly in 2014-15 which was the result of total cash receipts increasing proportionately higher than total cash costs. 
• Economic performance of the ETBF improved in 2014-15. Net economic return (NER) was negative in the ETBF in 2013-14, but increased significantly in 2014-15. This was driven by fishing income increasing at a greater rate than fishing costs and was supported by an improvement in the fisher's terms of trade and an increase in total factor productivity in that year. 
• Preliminary non-survey based estimates indicate that NER remained positive for the ETBF for the 2015-16 and 2016-17 financial years. 



Tags: AGRICULTURE, Australian, ETBF, Eastern Tuna and Billfish Fishery, FISHERIES, FISHERIES Marine, FISHERIES production, FISHERIES statistics, Farming, INDUSTRY, INDUSTRY Primary, INDUSTRY Primary statistics, MARINE Biology, MARINE Human Impacts, NER, Net economic return, economic, estimates, financial, fish, fisheries, productivity, quota price, statistics, surveys
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Australian fisheries economic indicators report 2014: Financial and economic performance of the Eastern Tuna and Billfish Fishery

The  Australian fisheries economic indicators report  expands on and takes the place of the long running ABARES  Australian fisheries surveys report. The information and analysis contained in these reports are accessed by policy makers, managers, researchers and industry. 

 Alongside the usual detailed information about the financial performance of the average vessel and the overall economic performance of the fishery, this report also provides analysis of additional economic indicators for the Eastern Tuna and Billfish Fishery (ETBF). The construction of these indicators draw upon the data collected through the fisheries survey program. Together with the financial and economic performance information, these indicators help to form a comprehensive picture of the economic performance of the ETBF over a number of years. 

 This report presents results of the 2014 Eastern Tuna and Billfish Fishery survey, comprising survey based estimates of financial and economic performance for the 2011-12 and 2012-13 financial years, as well as non-survey based estimates of economic performance for the fishery in the 2013-14 financial year. Other indicators presented in the report include the productivity index, input costs and output prices and management costs. 

 Key issues  
• Profit at full equity, a profit indicator that assumes all assets are fully owned by operators, for the average ETBF operator was positive in 2011-12 and 2012-13, but declined for the average boat in the fishery from $139 612 to $86 492. 
• The decline in profit at full equity is primarily attributable to higher total cash costs, driven by increased spending on fuel. 
• Net economic returns (including management costs) for the fishery fell from $2.9 million in 2011-12 to $0.2 million in 2012-13. 
• Lower net economic returns in 2012-13 were mainly a result of a larger decline in fishing income relative to falling fishing costs, reflecting less vessels operating in the fishery in 2012-13. 
• In 2013-14 the preliminary net economic returns were estimated to fall further to $0.1 million. The estimated slight reduction in net economic returns in 2013-14 is mostly driven by higher operating costs and a relatively small increase in fishing income. 


Tags: AGRICULTURE, Australian, ETBF, Eastern Tuna and Billfish Fishery, FISHERIES, FISHERIES Marine, FISHERIES production, FISHERIES statistics, Farming, INDUSTRY, INDUSTRY Primary, INDUSTRY Primary statistics, MARINE Biology, MARINE Human Impacts, NER, Net economic return, economic, estimates, financial, fish, fisheries, performance, productivity, quota price, statistics, survey indicators, surveys
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Potential economic impacts of the wheat stem rust strain Ug99 in Australia

Overview  

 Wheat stem rust has been present in Australia for over a century. The most recent and severe outbreak in Australia was the 1973 epidemic. However, a potentially damaging strain of the disease, Ug99, which was detected in Uganda in 1999 and currently not present in Australia, is a major concern as around 30 per cent of Australian current wheat varieties show moderate to high susceptibility to the Ug99 strain. 

 ABARES estimated the potential economic impact of a Ug99 outbreak on the Australian wheat industry for three wheat growing areas. An outbreak in Western Australia is estimated to cost the wheat industry over a 10-year period a total of $567 million, an outbreak in south-eastern Australia $803 million and an Australia-wide outbreak $1,362 million. These costs were based on the assumption that Ug99 has entered, established and spread to the full extent for each outbreak scenario, and did not lead to trade bans by wheat importers. 

 The study estimated significant benefits in continuing to invest in biosecurity prevention, ranging from $28 million to $70 million a year, depending on the extent of spread and whether or not trade bans were imposed by wheat importers. 

 Ongoing research and development (R&D) to secure seed stocks of Ug99 resistant varieties plays an important role in reducing potential future industry losses. The wheat industry losses avoided by securing seed stocks of Ug99 resistant varieties, and switching to these varieties immediately following any future entry, is one example of the benefits that can be derived from past biosecurity R&D. 

Key Issues 
• Wheat stem rust has been present in Australia for over a century. 
• The most recent and severe outbreak of the disease in Australia was the 1973 epidemic. 
• Ug99 is a particularly damaging strain of the disease not present in Australia, but is a concern. 
• The severity of an outbreak depends largely on the extent of susceptible wheat varieties grown and suitability of climate to the fungal disease. 
• Around 30 per cent of Australian current wheat varieties show moderate to high susceptibility to the Ug99 strain. 
• Wheat varietal improvement has resulted in fewer wheat stem rust incidences since the major outbreak. 
• Governments and the industry should continue to invest in varietal improvements which provide resistance to emerging strains. 


Tags: AGRICULTURE, Bio-modelling, DISEASE, Farming, INDUSTRY, INDUSTRY Primary, PE modelling, Ug99, benefits, biosecurity, costs, demand shock, disease outbreak, disease spread, economic impact, economic model, economics, fungal disease, impact, import ban, mapping, market access, mitigation, modelling, outbreak, partial equilibrium, preparedness, production, revenue losses, spatial analysis, stem rust, supply shock, varietal susceptibility, wheat, wheat breeding, yield loss
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Resource Reallocation and Productivity Growth in the Australian Dairy Industry: Implications of Deregulation

Abstract  
 This paper uses farm-level data to examine resource reallocation in the Australian dairy industry between 1979 and 2013, and assesses the contribution of this process to industry-level productivity growth before and after deregulation reforms were introduced in 2000. We show that deregulation facilitated the reallocation of resources from less efficient farms to more efficient ones, helping to offset the effects of a slowdown in within-farm technological progress on overall productivity growth. Moreover, resource reallocation following the reform mainly involved the movement of resources between farms that use different production systems in different regions, and which therefore have inherently different productivity performance. Further gains in aggregate productivity are likely to be derived mainly from movements of resources among farms that use similar production systems.

Tags: AGRICULTURE, AGRICULTURE Livestock, Farming, INDUSTRY Primary, dairy, dairy industry, dairy industry in Australia, industry level productivity growth, resource reallocation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Dairy industry workforce survey, 2015-16

Overview  

 ABARES analysis of labour use in the dairy industry shows the industry has distinct labour force requirements and faces different challenges to the other industries. 

 ABARES surveyed around 300 dairy farmers face-to-face in 2016 to collect data on farm physical and financial performance, labour use, recruitment experiences and future labour requirements. The report complements results released previously for vegetable and irrigated horticulture and cotton farms. 

 Key Findings  
• Dairy farms are estimated to have employed around 27,000 workers in 2015-16. The majority of these workers are family members or local residents employed on a full time or casual basis. In contrast with the vegetable, irrigated horticulture and cotton industries few seasonal workers are employed. 
• Dairy farms are less labour intensive than vegetable, irrigated horticulture and cotton farms, generally employing fewer workers and spending less on labour costs. However, labour is still a very significant cost on dairy farms. 
• There is a shift in the dairy industry towards large farm sizes. Large dairy farms tend to employ more workers, both skilled and unskilled, than smaller farms despite having a greater level of automation. These farms farm also use labour more productively. 
• In the dairy industry, job vacancy rates and recruitment are low and more likely to occur to meet the need for labourers on a full time or casual basis. Few farms reported recruiting skilled workers in the previous year, possibly because of their reliance on family members to fill these more skilled positions. 
• Among the farms that recruited workers in 2015-16, over 30 per cent experienced difficulties, most looking to fill full-time positions and citing issues associated with candidates' poor attitude, motivation and personality as the main difficulty. The Department of Jobs and Small Business found a similar share of businesses reporting recruitment difficulties on average across all sectors of the economy (33 per cent). 
• Dairy farmers identified the top three workforce difficulties they expect to experience in the future as: inadequate business profit to employ more workers (53 cent of farms); negative perception of the jobs in the industry (31 per cent of farms) and an ageing workforce (26 per cent of farms). 


Tags: AGRICULTURE, AGRICULTURE Livestock, Farming, INDUSTRY Primary, dairy farmers, dairy industry, financial performance, future labour requirements, labour, labour costs, labour force, recruitment, workforce
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Tourism Australia FOI Disclosure Log

This dataset does not contain any resources hosted on data.gov.au. It provides a link to the location of the Tourism Australia Freedom of Information (FOI) disclosure log to aide in information and data discovery. You can find the [FOI Disclosure log here](http://www.tourism.australia.com/about-us/freedom-of-information.aspx#Disclosure Log) and the Agency's [Information Publication Scheme here](http://www.tourism.australia.com/about-us/freedom-of-information.aspx#Information Publication Scheme).

The data.gov.au team is not responsible for the contents of the above linked pages.

Tags: foi log
Organization: Department of Finance
Dairy farms in the Murray-Darling Basin 2012-13 to 2014-15

Dairy farms in Murray-Darling Basin  presents key farm performance measures for irrigated dairy farms in the Basin, including data on water trading and use of irrigation technologies and with an emphasis on results from 2012-13 to 2014-15. 

 ABARES has conducted surveys of irrigation farms in selected industries and regions in the Murray-Darling Basin since 2006-07. The Murray-Darling Basin Authority (MDBA) funded this latest survey. 

 This report focuses on dairy farms located in the Murray and Goulburn-Broken regions of the southern Murray-Darling Basin. Average farm cash incomes of dairy farms in the Basin fluctuated widely over the survey period (2006-07 to 2014-15), largely because of fluctuations in farmgate milk prices, milk production and total input costs, particularly fodder. 

 Operators of large and medium farms (by herd size) reported well above average farm incomes in some years whereas small farms recorded generally lower returns because of their lower capacity to increase milk production when seasonal conditions were favourable. 

 Flood/furrow systems were the most commonly used technologies for applying water on irrigated dairy farms. Water trading has provided dairy farmers with greater flexibility in managing their use of water. In 2012-13 and 2013-14 the proportion of dairy farmers trading water increased significantly because of permanent water access entitlement sales and a change in business and risk management strategies. 

Tags: AGRICULTURE, Farming, Murray-Darling Basin, dairy, farm, farm performance, irrigation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Dairy farms in the Murray-Darling Basin

Overview  
Dairy farms in the Murray-Darling Basin presents key farm performance measures for irrigated dairy growing farms in the Basin, including data on water trading and use of irrigation technologies, with an emphasis on results from 2013-14 to 2015-16. 

 ABARES has conducted surveys of irrigation farms in selected industries and regions in the Murray-Darling Basin since 2006-07. The survey was funded by the Murray-Darling Basin Authority and the Department of Agriculture and Water Resources. 

 This report focuses on dairy farms located in the Murray and Goulburn-Broken regions of the southern Murray-Darling Basin. 


Tags: AGRICULTURE, AGRICULTURE Irrigation, Farming, Murray-Darling Basin, dairy, farm, farm performance, irrigation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Diversity in Australia's agricultural, fishing and forestry industry workforce

These information sheets provide statistics and trends in employment participation and workforce demographics. 

 There is no 'typical' picture of someone engaged or employed in our primary industries. 

 The Australian agricultural, fisheries and forestry workforce is made up of a diverse range of people of varying ages, genders, cultural backgrounds who contribute significantly to these primary industries. 
 In addition to being an important source of labour, women, youth, Indigenous and culturally and linguistically diverse people have been fundamental to the sustainability, competiveness and productivity of primary industries in Australia over many years. 

Tags: AGRICULTURE, Aboriginal and Torres Strait Islander, CALD, Census of Population and Housing, FISHERIES, FORESTS, Farming, INDUSTRY, INDUSTRY Primary, Indigenous, culturally and linguistically diverse, demographics, education, employment, english proficiency, farm manager, farmer, fishing, forestry, income, labour, occupation, women, workforce, young people, youth
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Climatic suitability of Australia's production forests for myrtle rust

Myrtle rust disease has caused defoliation and death of trees of rainforest species in New South Wales and Queensland, and has also been responsible for significant damage to eucalypt plantations in South America. This report combines climatic suitability modelling for myrtle rust across Australia with spatial data on Australia's production forests and forecast wood availability. The results show that 9.1 per cent of Australia's forecast available volume of plantation eucalypt logs, and 22 per cent of Australia's forecast available volume of public native forest eucalypt logs, derive from areas predicted to be highly suitable climatically for myrtle rust. The report also discusses the differences between an area being highly suitable climatically for myrtle rust, and a potential impact on wood production. 

Tags: Climatic, FORESTS, FORESTS Natural, FORESTS Plantation, FORESTS production, Farming, climatic suitability, myrtle rust, native forest, plantation, wood availability
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Private Health Insurance Ombudsman FOI Disclosure Log

This dataset does not contain any resources hosted on data.gov.au. It provides a link to the location of the Private Health Insurance Ombudsman Freedom of Information (FOI) disclosure log to aide in information and data discovery. You can find the [FOI Disclosure log here](http://www.phio.org.au/about-phio/freedom-of-information/freedom-of-information-requests-disclosure-log.aspx) and the Agency's [Information Publication Scheme here](http://www.phio.org.au/about-phio/freedom-of-information/information-publication-scheme.aspx).

The data.gov.au team is not responsible for the contents of the above linked pages.

Tags: foi log
Organization: Department of Finance
Australia's cost recovery arrangements for export certification : implications for Australian agriculture


The Department of Agriculture and Water Resources is currently redesigning its cost recovery arrangements for export certification services. The Cost Recovery Taskforce requested that ABARES analyse the effect of full cost recovery of the cost of export certification services on the competitiveness of Australian agricultural exports. The report: 
• estimates how full cost recovery affects the value of Australia's agricultural and fisheries exports 
• considers the farm-gate impact of exporters passing costs on to producers under a range of scenarios 
• investigates cost recovery arrangements in competitor countries for major export commodities. 
 Key Issues  

 ABARES modelling and analysis indicates that full recovery of the department's export certification costs has a small impact on the value of agricultural exports - less than 1 per cent for each of the export commodities considered. • The largest reduction in value occurs in beef and sheep meat exports, which are estimated to decrease by 0.79 per cent and 0.54 per cent, respectively. Beef and sheep meat exports have the highest industry cost of export certification relative to the value of exports. 
 ABARES modelling also indicates that export certification charges have a small impact on farm gate receipts. • Livestock producers' farm gate receipts are estimated to fall between 0.57 and 0.74 per cent. In dollar terms, the impacts range from about $1509 for a typical sheep farm to about $2440 for a typical sheep-beef farm. 
• Cropping and dairy producers' farm gate receipts are estimated to fall by up to 0.23 per cent. In dollar terms, the impacts range from about $648 for a typical dairy farm to $1884 for a typical wheat and other crops farm. 
• Horticulture farm receipts for macadamia, almond and orange producers are estimated to fall between 0.11 and 0.28 per cent, based on the average volume of product grown per farm. In dollar terms, the impacts range from $425 for a macadamia farmer and $2415 for an almond farmer, based on the average volume of product grown per farm. 
• Horticulture farm receipts for table grape producers are estimated to fall by 0.38 per cent ($1636) based on the average volume of product grown per farm. 
 ABARES investigated the cost recovery arrangements of Canada, Chile, Germany, Ireland, the Netherlands, New Zealand, Poland, Thailand and the United States. • All these countries have arrangements in place to recover some or all of the costs of providing export certification services. 






Tags: AGRICULTURE, FISHERIES, Farming, INDUSTRY Primary, cost recovery, export certification, exports
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Catchment scale land use of Australia - Commodities - Update December 2018

__Note: This dataset has been superseded by the__ _Catchment Scale Land Use of Australia – Commodities – Update December 2020_ available at https://data.gov.au/data/dataset/clumc-dec2020.

This vector dataset complements the Catchment Scale Land Use of Australia – Update December 2018 dataset, compiling commodity data (where mapped) in state and territory data through the Australian Collaborative Land Use and Management Program (ACLUMP). 

This entry incorporates a revision released on 26 November 2019. 

The date of mapping (2003 to 2018) and scale of mapping (1:5 000 to 1:250 000) vary. Commodities are assigned to the Australian Land Use and Management (ALUM) Classification version 8. Those commodities which are tertiary classes of the ALUM Classification such as sugar cane, cotton, rice, olives and grapes have been mapped by jurisdictions for some time. Recent mapping also includes horticulture and intensive animal industries. It is important to note that the location of a commodity may change on an annual basis, depending on factors such as climate, markets or farming systems. 

This entry includes:

* Link to more information on the Australian Collaborative Land Use and Management Program (ACLUMP) website managed by ABARES

* Link to data download as zipped ESRI shapefile 

* Link to description of data package as PDF

* Map of land use showing broad commodity types.


Tags: ACLUMP, AGRICULTURE, AGRICULTURE mapping, Australian Collaborative Land Use and Management Program, Environment, LAND, LAND Use, LAND Use classification, LAND Use maps, LAND survey
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences