Publisher

CCRJOURNALCCRJOURNAL

Journal Pelita PerkebunanPelita Perkebunan Abstract

Indonesias cocoa commodity, as one of the leading commodities, has the potential to improve the countrys economy. However, the increasing export volume is not matched by decreasing production due to decreasing land area. This study aims to identify the mapping of cocoa regions, identify the structure and growth rate of cocoa, and examine the role of cocoa in supporting Indonesias plantation activities. The research was conducted in 33 provinces of Indonesia using secondary data. The variables used are production and revenue of cocoa and plantation commodities in 2017-2023. The analytical tools used are Location Quotient (LQ), Dynamic Location Quotient (DLQ), Localisation and Specialisation analysis, Shift Share analysis (SSA), BSR analysis, RM, and Multiplier Effect. The results obtained from as many as 19 provinces are included in the base area with an LQ>1 value. The cocoa growth rate structure obtained that the value of National growth (PNij) is positive, Proportional growth (PPij) is negative, and Regional share growth (PPWij) is negative, so the average shift share value is positive and it is said that Indonesian cocoa is growing. The results of the analysis of the value of BSR, RM, and Multiplier Effect are positive so that Indonesian cocoa plays a role in supporting Indonesian plantations.

Conclusion

The study concludes that cocoa commodity in Indonesia is able to support the economic development of Indonesias plantation regions, as evidenced by BSR, RM, and Multiplier Effect values greater than one.The research identified 19 provinces as cocoa base areas, with Southeast Sulawesi exhibiting the highest Location Quotient.The findings highlight the importance of maintaining cocoa production and supporting the development of cocoa-producing regions to ensure continued economic contribution.

Future Research

Further research should investigate the specific factors hindering cocoa production growth in the 12 provinces identified as non-base areas, focusing on soil health, climate change impacts, and farmer access to resources. Additionally, studies are needed to explore the potential of diversifying cocoa-based products and developing value-added processing industries within cocoa-producing regions to enhance economic returns. Finally, research should assess the effectiveness of different policy interventions, such as subsidies, extension services, and infrastructure development, in promoting sustainable cocoa production and improving the livelihoods of cocoa farmers, considering regional variations in socio-economic conditions and environmental challenges. These investigations will contribute to a more comprehensive understanding of the cocoa sector and inform evidence-based strategies for its sustainable development and contribution to the Indonesian economy. The research should also explore the potential of integrating digital technologies, such as precision farming and mobile-based information systems, to improve cocoa farm management practices, enhance productivity, and facilitate market access for smallholder farmers. This could involve assessing the feasibility and impact of implementing digital platforms for cocoa traceability, quality control, and price negotiation, as well as providing farmers with access to real-time information on weather patterns, pest and disease outbreaks, and market trends.

References

1. Komoditas Perkebunan Unggulan yang Berbasis Pada Pengembangan Wilayah Kecamatan di Kabupaten Banjarnegara... ejournal2.undip.ac.id/index.php/jwl/article/view/154Komoditas Perkebunan Unggulan yang Berbasis Pada Pengembangan Wilayah Kecamatan di Kabupaten Banjarnegara ejournal2 undip ac index php jwl article view 154
2. WHAT MAKES COCOA FARMERS CONVERT COCOA LAND? CASE STUDY: TWO COCOA PRODUCING DISTRICTS IN SOUTHEAST SULAWESI... ejournal.unib.ac.id/agrisep/article/view/31406WHAT MAKES COCOA FARMERS CONVERT COCOA LAND CASE STUDY TWO COCOA PRODUCING DISTRICTS IN SOUTHEAST SULAWESI ejournal unib ac agrisep article view 31406
3. ANALYSIS OF LOCATION QUOTIENT AND SHIFT SHARE IN RIAU PROVINCE | Ariyanto | Agrisocionomics: Jurnal Sosial... doi.org/10.14710/agrisocionomics.v8i1.17136ANALYSIS OF LOCATION QUOTIENT AND SHIFT SHARE IN RIAU PROVINCE Ariyanto Agrisocionomics Jurnal Sosial doi 10 14710 agrisocionomics v8i1 17136
4. DOI Name 10.62281 Values. doi name values index type timestamp data hs serv 30z crossref email support... doi.org/10.62281DOI Name 10 62281 Values doi name values index type timestamp data hs serv 30z crossref email support doi 10 62281

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