Institute of Agricultural and Resource Economics, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.
Department of Economics, Government College University Lahore, Lahore 54000, Pakistan.
Int J Environ Res Public Health. 2022 Apr 27;19(9):5340. doi: 10.3390/ijerph19095340.
Livestock plays a vital role in humans' food and nutrition security under rapidly changing climatic scenarios. This study investigates the nature and factors affecting livestock farmers' choices of climate-smart livestock practices by using a multivariate probit model and then estimates the average effect of these adopted strategies on per capita daily dietary (calorie, protein, and calcium) intake among livestock herders. For this purpose, data were collected from 196 livestock farmers residing in the Punjab province of Pakistan, selected through multistage purposive and random sampling. The Simpson diversity index results revealed that farmers used diversified food in their daily diet. The results also showed that farmers consumed more protein-rich food items as compared to calorie and calcium-rich food items in their daily diet. Moreover, the average per capita calorie intake of livestock farmers was 2413.19 kcal/day. Livestock farmers adopting a higher number of climate-smart livestock practices consumed more daily per capita calories, protein, and calcium compared to those who adopted a lower number of climate-smart livestock practices on livestock farms. Moreover, climate-smart livestock practices produced more and better nutritional outcomes in combination with each other than in isolation. Livestock training was found to be positively associated with the adoption of more climate-smart practices. Therefore, livestock training is necessary to expedite the adoption of climate-smart practices and to improve the nutritional security of the farmers.
在快速变化的气候情景下，牲畜在人类的食物和营养安全中起着至关重要的作用。本研究使用多元概率比模型调查了气候智能型牲畜实践对牲畜养殖户选择的影响性质和因素，然后估计了这些采用策略对牲畜养殖户人均日常饮食（卡路里、蛋白质和钙）摄入的平均影响。为此，从居住在巴基斯坦旁遮普省的 196 名牲畜养殖户中收集了数据，这些养殖户是通过多阶段有目的和随机抽样选择的。辛普森多样性指数结果表明，农民在日常饮食中使用了多样化的食物。结果还表明，与富含卡路里和钙的食物相比，农民在日常饮食中摄入了更多富含蛋白质的食物。此外，牲畜养殖户的人均日卡路里摄入量为 2413.19 千卡。与采用较少气候智能型牲畜实践的养殖户相比，采用较多气候智能型牲畜实践的养殖户在牲畜养殖场消费了更多的人均每日卡路里、蛋白质和钙。此外，气候智能型牲畜实践相互结合比单独使用能产生更多和更好的营养结果。牲畜培训与更多气候智能型实践的采用呈正相关。因此，牲畜培训对于加快气候智能型实践的采用和提高养殖户的营养安全是必要的。
