Analisis Kelayakan Usaha Pembuatan Gula Merah Di Kelurahan Kassa Kecamatan Batulappa Kabupaten Pinrang

Penelitian ini dilaksanakan di Kelurahan Kassa Kecamatan Batulappa Kabupaten Pinrang dari bulan Agustus sampai bulan September 2019. Penelitian ini bertujuan untuk mengetahui faktor-faktor produksi ( pohon aren, harga gula merah, biaya produksi, jumlah pohon, jumlah produksi). Pada pendapatan pengrajin gulan aren di Kelurahan Kassa Kecamatan Batulappa Kabupaten Pinrang. Jenis data yang digunakan adalah analisis regresi berganda. Hasil penelitian ini kemudian diolah menggunakan rumus analisis Pendapatan. Variabel yang digunakan dalam penelitian ini ada lima yaitu harga gula aren, biaya, volume produksi, tenaga kerja, jumlah pohon. Hasil penelitian menunjukan variabel harga gula aren dan jumlah produksi berpengaruh nyata terhadap pendapatan sedangkan biaya, tenaga kerja dan jumlah pohon tidak berpengaruh nyata terhadap pendapatan pengrajin gula merah. Hasil uji F disimpulkan bahwa variabel bebas sangat berpengaruh terhadap pendapatan pengrajin gula merah. Hasil uji R square menunjukan bahwa 98,9% variabel pendapatan pengrajin gula merah dapat dijelaskan oleh variabel jumlah pohon aren, jumlah produksi, tenaga kerja, dan harga. Sedangkan 1,1% dipengaruhi oleh variabel lain yang tidak di ukur dalam penelitian This research was conducted in Kassa Village, Batulappa District, Pinrang Regency from August to September 2019. This study aims to determine the factors of production (palm trees, brown sugar prices, production costs, number of trees, number of production). On the income of palm sugar craftsmen in Kassa Village, Batulappa District, Pinrang Regency. The type of data used is multiple regression analysis. The results of this study were then processed using the analysis formula income. There are five variables used in this research, namely palm sugar price, cost, production volume, labor, number of trees. The results showed that the variable palm sugar price and the amount of production had a significant effect on income, while the cost, labor and number of trees had no significant effect on the income of the brown sugar craftsmen. The results of the F test concluded that the independent variable greatly influenced the income of the brown sugar craftsmen. The results of the R square test show that 98.9% of the income variable of the brown sugar craftsmen can be explained by the variables of the number of palm trees, the amount of production, the labor, and the price. Meanwhile, 1.1% is influenced by other variables that are not measured in the study.

A Novel Hybrid Deep Learning Model for Sugar Price Forecasting Based on Time Series Decomposition

Sugar price forecasting has attracted extensive attention from policymakers due to its significant impact on people’s daily lives and markets. In this paper, we present a novel hybrid deep learning model that utilizes the merit of a time series decomposition technology empirical mode decomposition (EMD) and a hyperparameter optimization algorithm Tree of Parzen Estimators (TPEs) for sugar price forecasting. The effectiveness of the proposed model was implemented in a case study with the price of London Sugar Futures. Two experiments are conducted to verify the superiority of the EMD and TPE. Moreover, the specific effects of EMD and TPE are analyzed by the DM test and improvement percentage. Finally, empirical results demonstrate that the proposed hybrid model outperforms other models.

A Study on Causal Relationship Between Sugar Beet Supply and Sugar Price - Sustainability Issues and Opportunities

Sugar Beet is one of the essential sources of energy. However, most of the division in Iran supply sugar beet through domestic production. The present study is going to investigate the causal relationship between sugar beet supply and sugar price in Iran between the year 1995 to 2016. By Applying the Johansen-Juselius cointegration method along with Granger causality test. Besides, this research going to analyse the causal relationship between sugar beet supply and sugar price by considering the sustainability issues and opportunities. However, The result of the Johansen-Juselius cointegration test shows that there is a positive long-term co-integration relationship between variables. Although According to the GC test, there is a causal relationship between sugar beet supply and sugar price. Also result of the vector error correction model represents that sugar price has a significant impact on sugar beet supply which indicates that every increase and decrease in sugar price reflect on sugar beet production. Therefore, the necessity of an appropriate policy-making and proper planning for sugar beet production has been bolded.

Dampak Penerapan Harga Acuan Pembelian (HAP) Gula di Tingkat Eceran Terhadap Harga Gula Petani dan Stabilitas Harga Gula

Abstrak Pemerintah berupaya menjaga stabilitas harga bahan pangan pokok melalui berbagai kebijakan penetapan harga. Salah satunya adalah kebijakan penetapan Harga Acuan Pembelian (HAP) pada komoditas gula. Dalam implementasinya, penerapan HAP Gula di tingkat eceran dinilai berdampak pada penurunan harga gula di tingkat petani/produsen. Kajian ini bertujuan untuk menganalisis pengaruh penerapan HAP Gula terhadap harga lelang gula petani dan stabilitas harga gula, dan merumuskan rekomendasi kebijakan HAP Gula yang efektif. Dengan menggunakan pendekatan analisis ekonometrik melalui Error Correction Model (ECM), hasil analisis menunjukkan bahwa kebijakan HET berpengaruh terhadap harga lelang gula petani dalam jangka pendek. Dalam jangka panjang, harga lelang gula petani lebih ditentukan oleh harga gula impor, stok gula nasional, dan harga lelang gula pada periode sebelumnya. Kebijakan yang berpengaruh signifikan terhadap harga lelang gula yaitu penerapan PPN Gula. Kajian ini merekomendasikan bahwa penetapan kebijakan HAP pada komoditi gula dapat terus dilakukan dalam rangka stabilisasi harga dengan melakukan evaluasi secara berkala. Pemerintah dapat mempertahankan HAP gula sebesar Rp 12.500/kg yang didukung oleh beberapa hal yaitu: menangguhkan penerapan PPN gula petani; mengawasi keberadaan satgas pangan; menerapkan pengawasan pasar gula yang memberikan kepastian pada petani, pabrik gula, dan konsumen. Kata Kunci: Kebijakan HAP, Error Correction Model (ECM), Stabilisasi Harga Gula Abstract The Government strives to keep price stability of staple food through price policy, the so-called “Harga Acuan Pembelian (HAP) for sugar”. During its implementation, the policy has given negative impact on farm gate price. This study aims to analyze the effect of HAP for sugar to farm gate price which is reflected in auction price as well as its impact to price stabilization, and formulate effective policy recommendations on HAP for sugar. Using Error Correction Model (ECM), the study shown that HAP for sugar significantly impacted the auction price yet in the short term. While for the long term, the auction price of sugar was more affected by import sugar price, national sugar stock, and sugar auction price in previous period. Moreover, the implementation of value added tax (VAT) on sugar affected significantly to the auction price. The study recommended the HAP for sugar can be consistently implemented with periodic evaluation. Accordingly, the Government can maintain the prevailing HAP at Rp 12.500/kg which has to be supported by forgoing the VAT policy on sugar; monitoring the role of task force; and strongly supervising the domestic sugar market that is favourable to farmers, sugar millers, and consumers. Keywords: Price Policy, Error Correction Model (ECM), Sugar Price Stabilization JEL Classification: E31, Q13,Q18

Economic Analysis of Household Processing Sugar Nagari Bukik Batabuah Agam District

This study aims to describe household economic processing brown sugar and identify the factors that affect decision sugar confection red and household consumption processing brown sugar in nagari bukik batabuah kecamatan canduang kabupaten agam. Methods used are the method survey. Populations are all households processing brown sugar traditionally in nagari bukik batabuah kecamatan canduang kabupaten agam with 528 unit households. A method of the respondents is by means simple random sampling as many as 30 households respondents. Analysis the data used was deskripsitif qualitative. The result of this research is that torrent of working hours in in the processing brown sugar greater than activities outside processing brown sugar so income derived from the sale of red is also greater of income outside activities processing brown sugar of rp.2.581.667 or 82 % household income comes from income brown sugar, their household needs processing brown sugar could not be fulfilled some of their income spent for consumption needs food without capable of savings and invest. Factors that affects decision sugar confection red in nagari bukik batabuah is the number of raw materials, sugar price red and needs of the households, while that affects household consumption processing brown sugar namely household income, the number of family members, and the number of families to that are still at school. Advice provided researchers that is as well

Quantifying the impact of Ramadan on global raw sugar prices

Purpose The purpose of this study is to quantify the impact of Ramadan on both the level and the growth of global raw sugar price. Design/methodology/approach The study uses a dummy and a fractional variable to capture Ramadan to overcome the asynchronicity of time between Ramadan fasting (which is based on the Islamic lunar calendar) and the movement in prices (which follows the Gregorian solar calendar). To capture the seasonality of sugar production, the data on sugar price span 34 years so that the Islamic calendar makes a complete cycle of the Gregorian calendar. The empirical model is estimated using both autoregressive integrated moving average model and unobserved components model. Findings The results show that monthly raw sugar prices in the global market increases by roughly 6.06 per cent (or $17.78 per metric ton) every year ahead of Ramadan. Practical implications The study illustrates the implications of the results for the consumption of imported sugar in Bangladesh. Originality/value The study uses a broader set of Ramadan indicators in its empirical models and checks the robustness of its baseline model using the unobserved components model. It also performs seasonal unit root tests on the global raw sugar prices.

Implications of Brexit on the effectiveness of the UK soft drinks industry levy upon CHD in England: a modelling study

ObjectiveAn industry levy on sugar-sweetened beverages (SSB) was implemented in the UK in 2018. One year later, Brexit is likely to change the UK trade regime with potential implications for sugar price. We modelled the effect of potential changes in sugar price due to Brexit on SSB levy impacts upon CHD mortality and inequalities.DesignWe modelled a baseline SSB levy scenario; an SSB levy under ‘soft’ Brexit, where the UK establishes a free trading agreement with the EU; and an SSB levy under ‘hard’ Brexit, in which World Trade Organization tariffs are applied. We used the previously validated IMPACT Food Policy model and probabilistic sensitivity analysis to estimate the effect of each scenario on CHD deaths prevented or postponed and life-years gained, stratified by age, sex and socio-economic circumstance, in 2021.SettingEngland.SubjectsAdults aged 25 years or older.ResultsThe SSB levy was associated with approximately 370 (95 % uncertainty interval 220, 560) fewer CHD deaths and 4490 (2690, 6710) life-years gained in 2021. Associated reductions in CHD mortality were 4 and 8 % greater under ‘soft’ and ‘hard’ Brexit scenarios, respectively. The SSB levy was associated with approximately 110 (50, 190) fewer CHD deaths in the most deprived quintile compared with 60 (20, 100) in the most affluent, under ‘hard’ Brexit.ConclusionsOur study found the SSB levy resilient to potential effects of Brexit upon sugar price. Even under ‘hard’ Brexit, the SSB levy would yield benefits for CHD mortality and inequalities. Brexit negotiations should deliver a fiscal and regulatory environment which promotes population health.

Sugar Price Policy and Indonesia’s Trade Balance

Sugar price policy always directed at conditions in which supply is equal to demand. This study aimed to evaluate the impact of increase in sugar prices on Indonesia’s trade balance. Evaluation was done by using Tables I-O and SAM Indonesia in 2008 to developed Computable General Equilibrium (CGE) model. Indonesian economy were aggregated into 23 sectors with 8 households and 3 primary input. An increase in sugar prices of Indonesia have an impact on domestic output, exports, imports and trade balance. In agricultural sector, domestic output and imports increased, exports dropped, but Indonesian trade balance was still surplus. While the industrial and service sectors, domestic output and exports dropped, as well as imports increased, but the trade balance was deficit. Sugar imports even increased by 9.09%. It needs to watch out by the government because it could lead to a deficit in the trade balance.