东努沙登加拉作为国家生产中心提高小牛产量的政策

U. Lole, A. Keban
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引用次数: 1

摘要

NTT省小牛生产增长的决定因素(技术/技术、经济、社会文化、投资和相关机构)尚未得到具体确定和衡量。这对于制定和实施相关政策非常重要。本研究的目的是分析影响小牛生产水平的主要因素,并制定提高小牛生产的政策干预措施。对与畜牧业规划和发展有关的各方进行了调查。定量方法是对时间序列数据进行回归分析。将库邦县小牛生产的经济现象简化为一个数学模型(响应函数)。结果表明,NTT中小牛总产量方程模型中的参数估计值为:TPRAS=–20434.1+0.2262 LTTSIP*–0.0032 TLPRAns+0.2147 TLLTP*+0.1036 TPTRU*+0.1877 TRKUT*+0.2067 TRDIB*+0.1057 TRDVT*+0.3647 LTRAS*+811.7645 TREND**。总之,小牛产量的增加在很大程度上取决于对主要生产因素[多产奶牛的数量、农民的数量、饲料的数量和水泥/疫苗的数量]支持的增加。政策投资(通过利率和实现农业贷款)、奶牛生产控制政策(通过推迟屠宰和提供现金奖励)和技术支持政策(通过实现精液和牲畜疫苗的人工智能剂量)对小牛生产产生了重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Policies to Increase Calves Production in East Nusa Tenggara as a National Production Center
The determinant factors of the growth of calf cattle production in NTT Province (both technical/technological, economic, socio-cultural, investment, and related institutions) have not been specifically identified and measured. This is very important for the purpose of formulating and implementing related policies. The objectives of this study were to analyze the main factors affecting the level of calf production, and to formulate policy interventions to increase calf production. A research survey was carried out on parties related to the planning and development of cattle business. The quantitative approach is in the form of regression analysis of time series data. The economic phenomenon of calf production in Kupang Regency has been simplified into a mathematical model (response function). The result reported that the estimated value of the parameters in the total calf production equation model in NTT was: TPRAS= – 20434.1 + 0.2262 LTTSIP* – 0.0032 TLPRAns + 0.2147 TLLTP* + 0.1036 TPTRU* + 0.1877 TRKUT** + 0.2067TRDIB** + 0.1057 TRDVT** + 0.3647 LTPRAS* + 811.7645 TREND**. In conclusionl, the increased production of calves was dependent on the increase in support for the main production factors [number of productive cows, number of farmers, amount of feed, and amount of cement/vaccine] adequatly. Policy investment (through interest rates and realization farming loans), policy of productive cows control (through postponement of slaughter and the provision cash incentives), and policy of technology support (through realization AI doses of semen and livestock vaccines) significantly affect to production of calves.
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