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The research was conducted in Balochistan to analyze the economic point of view of red meat consumption pattern in Quetta, Balochistan, Pakistan. Cross-sectional research design was used in present investigation and focused the mutton production. Face-to-face communication was used form 180 respondents in three tehsils. The data contained quantitative and qualitative information. The data thus collected on the various variables were analyzed as per Shepherd (1962), Qureshi (1974), Acharya and Agarwal (1970) and Siddiqui et al., (1983). Descriptive statistics technique was carried out so as to observe the frequencies and mean scores of diverse parameters. The findings revealed that total expenditure was denoted as 279035, 181413 and 226960 in Quetta, Kuchlak and Panjpai tehsils respectively. The total input: output ratio were 1 : 1.25, 1 : 1.53 and 1 : 1.18 in Quetta, Kuchlak and Panjpai tehsils respectively. However, in this 94 regard, the overall average and ration was observed 1: 1.32 in Quetta district. The finding further shows that on investigation that cost benefit ratio was 1: 0.96 in the three tehsils of Quetta district. The data was revealed that the mutto farming animal retailers got maximum benefits 1: 0.90. Therefore it was recommended that the marketing of the livestock based on proper and well scientific lines about suitable occupation of red mutton. Mutton producers should be trained by the government or livestock personnels so as to earn their income in an effective manner. Mutton marketplace and working group should be planned intended for worth and value about price fascination. The distance between dairy farm, sheep farm and cattle farm should be minimized and market roads from dairy farm should build or paved so that make the easy access towards the marketplace to farm animals respondents.

Dr. Shahida Habib Alizai, Dr Ghazala Umer Bagahl , Dr. Shahab -UD- Din. (2020) ECONOMIC ANALYSIS OF RED MEAT CONSUMPTION PATTERN IN QUETTA, BALOCHISTAN GENDER BASED STUDY , Balochistan Review, Volume 1, Issue 1.
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