Dry Zone Value Chain Off-Farm Value Chain Surveys: Traders Component
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This data set contains information on 347 pulse and oilseed traders from the five main commodity exchange centers in Myanmar’s Central Dry Zone.  The data include information on asset ownership and acquisition, human capital, business history, source of investment capital, employment, seasonality, costs and returns, product and service assortment, historical trade volumes, and location of customers and suppliers. Sampling was conducted using lists of enterprises compiled from data provided by traders’ associations and commodity exchange centers in all major urban areas and commercial centers of the Dry Zone (Mandalay, Magway, Monywa, Shwebo, and Pakkoku)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["trader, Myanmar, dry zone"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This data set contains information on 347 pulse and oilseed traders from the five main commodity exchange centers in Myanmar’s Central Dry Zone.  The data include information on asset ownership and acquisition, human capital, business history, source of investment capital, employment, seasonality, costs and returns, product and service assortment, historical trade volumes, and location of customers and suppliers. Sampling was conducted using lists of enterprises compiled from data provided by traders’ associations and commodity exchange centers in all major urban areas and commercial centers of the Dry Zone (Mandalay, Magway, Monywa, Shwebo, and Pakkoku)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This data set contains information on 347 pulse and oilseed traders from the five main commodity exchange centers in Myanmar’s Central Dry Zone.  The data include information on asset ownership and acquisition, human capital, business history, source of investment capital, employment, seasonality, costs and returns, product and service assortment, historical trade volumes, and location of customers and suppliers. Sampling was conducted using lists of enterprises compiled from data provided by traders’ associations and commodity exchange centers in all major urban areas and commercial centers of the Dry Zone (Mandalay, Magway, Monywa, Shwebo, and Pakkoku)
trader, Myanmar, dry zone