Relative Efficiency of Brown Sugar Agroindustry in Kokap District, Kulon Progo Regency, D.I. Yogyakarta

Wijayanti, Dian Eswin; Hartono, Slamet; Darwanto, Dwidjono Hadi

doi:10.22146/jae.30215

Cited by 3 publications

(3 citation statements)

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“…As preparing brown sugar and selling it in the nearest market has a long tradition in the study area, farmers are well acquainted with this strategy, although it has some efficiency gaps. The age and level of skill are significant external factors that impact the amount of productivity attained in the process of preparing brown sugar [20]. However, in our study, it was seen that all farmers in the sample were male, and the majority of them fell within the most productive age group.…”

Section: Discussioncontrasting

confidence: 56%

Assimilating the Responsible Factors for the Technical Efficiency of Organic Brown Sugar Production: Stochastic Frontier Approach

Khatun,

Jahan,

Rahman

et al. 2023

AJAEES

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The demand for organic brown sugar has shown significant growth in recent years, presenting an opportunity to enhance production by strategically leveraging existing expertise among stakeholders. The objective of this study was to assess the viability of producing brown sugar, with a particular focus on the technical efficiency of marginal cane farmers. This study investigates the technical efficiency of sugarcane farmers who are concurrently engaged in the production of organic brown sugar within a specific region in Bangladesh. The data collection process involved the use of purposive sampling, which resulted in the collection of 163 farm data sets from September to December 2021. Subsequently, a stochastic frontier production function was carefully employed to estimate the technical efficiency of the selected brown sugar producers. The findings of the current study demonstrate that less than half of the respondents (47.24%) were involved in activities linked to maintain a high efficiency level that was greater than 91 percent. It was discovered that a range of technical efficiency scores, which varied from 49.94 to 98.38 percent, with a mean value of 84.5%. There exists a significant potential for enhancing crop productivity by up to 15.5% with the implementation of improved agricultural management techniques like substantial experience, education, and training which tends to exhibit enhanced the efficiency of the production.

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Section: Discussioncontrasting

confidence: 56%

Assimilating the Responsible Factors for the Technical Efficiency of Organic Brown Sugar Production: Stochastic Frontier Approach

Khatun,

Jahan,

Rahman

et al. 2023

AJAEES

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“…Moreover, both regions share the characteristics of being important organic agricultural production areas, particularly for rice. Farmer groups in Tasikmalaya have succeeded in exporting organic rice [62], while the Yogyakarta region produces organic rice, vegetables, snake fruit and brown coconut sugar [63,64]. The research sites jointly have a population of 5.4 million inhabitants.…”

Section: Research Methods: Combining Qualitative Stakeholder Intervie...mentioning

confidence: 99%

Turning Indonesia Organic: Insights from Transdisciplinary Research on the Challenges of a Societal Transformation

et al. 2021

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While there is a global consensus that agricultural systems need to be transformed to be more sustainable, possible pathways and challenges to this process are still debated. We analyse the challenges and opportunities involved in transforming smallholder farming to organic agriculture in Indonesia, where the intense application of Green Revolution technologies came at enormous environmental costs. We adopt a transdisciplinary approach to identify possible pathways towards organic agriculture, based on an analysis of farmers’ knowledge and barriers to adoption, value and belief systems, and institutional structures, including policies and regulations. We present our empirical findings as ‘system knowledge’, ‘target knowledge’ and ‘transformation knowledge’ and incorporate insights from both academics and practitioners. We draw on evidence from large-scale surveys, field experiments, in-depth interviews, participant observation and document analysis. A key insight of our research is that Indonesia does not lack initiatives towards organic farming, but that these various initiatives have different motivations, goals and strategies. This misalignment detracts from the transformational potential of organic agriculture and is responsible for the hitherto limited success of the organic transition. Our findings suggest that policy action at multiple levels is required, guided by an inclusive strategy that is drawn up in a participatory manner.

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“…The efficiency of DMU processing unit calculated by using the outputoriented CCR and BCC model can be seen in In Ngada Regency, an inefficient coffee processing unit emerged caused by the fact that in the coffee processing process, the allocation of inputs has not been allocated properly (Timisela et al, 2012;Wijayanti et al, 2016). There are still many processing units using raw material inputs, water, labor, machinery and excessive depreciation costs.…”

Section: Calculating the Efficiencymentioning

confidence: 99%

Efficiency of Arabica Coffee Processing Unit in Ngada Regency

Djawa

Irham

Waluyati

2019

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Village-based processing unit is a small-scale agricultural processing industry based in rural areas. It is a breakthrough program in accelerating the growth of farmers' income and increased employment. The product processing unit has a goal of obtaining maximum benefit. In order to achieve maximum profit and continuous processing of coffee, the processing unit should pay attention to the efficiency aspect. The purpose of this research is to know the efficiency of the coffee processing unit in Ngada regency and the improvement strategy for processing unit of an inefficient result to be efficient. The analysis method used is Data Envelopment Analysis (DEA) of Charnes, Cooper, and Rhodes (CCR) model and Banker, Charnes, and Cooper (BCC) model with output orientation. The research sample is the management of the coffee processing unit, with the total of 40 respondents. The result of this research shows that the efficiency measurement using DEA method of the CCR model produces coffee processing unit in Ngada regency which efficiently reaches 9 units or 22.5% while 31 or 77.5% other processing units are inefficient. On the BCC model unit, the efficient coffee processing is 20 units or 50%, while the other 20 units or 50% are in the inefficient state. The inefficient processing unit is because the available input is not used optimally. Inefficient processing units can be achieved efficiently by referring to efficient processing units within their peer groups by adjusting the excessive amount of input usage

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Relative Efficiency of Brown Sugar Agroindustry in Kokap District, Kulon Progo Regency, D.I. Yogyakarta

Cited by 3 publications

References 1 publication

Assimilating the Responsible Factors for the Technical Efficiency of Organic Brown Sugar Production: Stochastic Frontier Approach

Assimilating the Responsible Factors for the Technical Efficiency of Organic Brown Sugar Production: Stochastic Frontier Approach

Turning Indonesia Organic: Insights from Transdisciplinary Research on the Challenges of a Societal Transformation

Efficiency of Arabica Coffee Processing Unit in Ngada Regency

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