The study aims to evaluate the Domestic Resources Cost (DRC) of beef cattle raised either on grazing, or a tethering system of small-scale beef cattle farming. The study was done using a survey method. A total of 120 respondents were selected purposively to consist of 60 farmers applying the grazing system and another 60 farmers applying the tethering system. The parameters measured were socio-economic characteristic, Domestic Resources Cost Ratio (DRCR) and Private Cost Ratio (PCR). Data were analyzed by applying a method of Policy Analysis Matrix (PAM). The result of the study indicated that 87% of those farmers involved in the grazing system and 85% of those involved in tethered beef cattle production, were within the productive age range. In the grazing system, the cattle farmers upstream of Benain-Noelmina watershed area gain the private and social profit levels which is IDR 406,284,-/AU/year and IDR 688,388,-/AU/year, respectively. Further, in the tethering system, the average of private and social profit gain is IDR 855,222,-/AU/year and IDR 1,385,712,-/AU/year, respectively. The small-scale beef cattle farming upstream of Benain-Noelmina watershed has competitive and comparative advantages, indicated by the value of PCR and DRCR which are less than 1. The PCR value was 0.41 in the grazing system and 0.71 on the tethering system; hence, the DRCR of the grazing system was 0.29 and 0.60 of the tethering system.

No abstract

Correct predictions are needed to measure the future level of energy performance across the country in sequence to develop clear policies for monitoring and reducing carbon and other harmful emissions. Using the most correct and recognized procedures of the six countries like China, Japan, India, Indonesia, Russia, and the United States that account for 61% of global emissions, we have made a correct guess on the number of carbon emissions. Thus, the present study investigates the impact of green finance, agriculture economics and creativity on carbon emission. The data was extracted from WDI covering the period from 2006 to 2020. The paper employed Fixed effect model as well as robust standard error to test the hypotheses. The results revealed that green finance, agriculture economics and creativity share negative relation with the carbon emission of selected countries, while other variables such as population and economic growth shares a positive connection with carbon emission. This research also proposes some enlightenment for researchers and policymakers who admire and decrease carbon emissions.

The development of pig farming aims to support the economy of the people in the Southwest Sumba Regency. Pigs in this area have a very high cultural value, so they have promising potential and prospects in the future. The problem is that the maintenance system is still semi-extensive and tends to be traditional. This situation can be related to the motive in trying and efforts to adopt an innovation. This study aimed to analyze the level of motivation and the factors that influence the adoption of innovation in raising pigs. The research method used a survey method with direct observation in the field. They are determining the area using the multistage cluster random sampling method obtained from sample sub-districts, namely Tambolaka District (Tambolaka City and Wee Londa) and South Wewewa District (Tena Teke Village and Delo). The research material was 120 pig farmers taken by purposive random sampling. The measured variables include the motivation to raise livestock using a Likert scale and factors influencing innovation adoption using multiple linear regression tests. The software used is Eviews 10. The study results show that: 1) Most of the pig breeders in Southwest Sumba Regency are based on high economic, social, and entertainment motives in pig farming. 2) The regression results show that the variables that have a significant effect on the level of adoption with a prob value below the significant level of 0.05 are the variables of motivation and access to information. While the variables that have no significant effect on the level of innovation adoption with a prob value above the significant level of 0.05 are the variables of age, education level, family dependents, livestock experience, number of livestock, and accessibility. This study concludes that business motives and adoption of innovations affect the success or failure of pig-rearing businesses in the Southwest Sumba district.