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Supply Response of Paddy in East Java: Policy Implications to Increase Rice Production Prasada, Imade Yoga; Dhamira, Aura; Nugroho, Agus Dwi
AGRARIS: Journal of Agribusiness and Rural Development Research Vol 4, No 2: July-December 2018
Publisher : Program Studi Agribisnis Fakultas Pertanian Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (966.644 KB)

An increasing population in recent decades has led to the need for increasing the availability of food, so it is necessary to increase the production of paddy as quickly as possible. The aim of this research was to know the supply response of paddy in East Java to various price factors and non-price factors. In this research, the supply response was estimated by the paddy harvest areas in East Java using Cobb-Douglas model and Nerlove partial adjustment, and econometric analysis including stationarity test, cointegration test, and Error Correction Model (ECM). The data used in this research consisted of paddy harvest areas, grain price, corn price, irrigated land area and rainfall amount from 1991 to 2015. The speed of short-term adjustment to the long-term supply of rice was 2.79% and was corrected in the next period. In the short run, all variables did not have a high responsiveness to paddy supply, but in the long run, the irrigation area was very responsive to paddy supply in East Java with a value of elasticity of 1.79. Supply of paddy can be increased by increasing the real price of unhulled rice, the irrigated land, and harvested area of the previous period.

Supply Response of Paddy in East Java: Policy Implications to Increase Rice Production Imade Yoga Prasada; Aura Dhamira; Agus Dwi Nugroho
AGRARIS: Journal of Agribusiness and Rural Development Research Vol 4, No 2: July-December 2018
Publisher : Universitas Muhammadiyah Yogyakarta

An increasing population in recent decades has led to the need for increasing the availability of food, so it is necessary to increase the production of paddy as quickly as possible. The aim of this research was to know the supply response of paddy in East Java to various price factors and non-price factors. In this research, the supply response was estimated by the paddy harvest areas in East Java using Cobb-Douglas model and Nerlove partial adjustment, and econometric analysis including stationarity test, cointegration test, and Error Correction Model (ECM). The data used in this research consisted of paddy harvest areas, grain price, corn price, irrigated land area and rainfall amount from 1991 to 2015. The speed of short-term adjustment to the long-term supply of rice was 2.79% and was corrected in the next period. In the short run, all variables did not have a high responsiveness to paddy supply, but in the long run, the irrigation area was very responsive to paddy supply in East Java with a value of elasticity of 1.79. Supply of paddy can be increased by increasing the real price of unhulled rice, the irrigated land, and harvested area of the previous period.

The Impact of Climatic Factors on Rice Production in Indonesia Aura Dhamira; Irham Irham
Agro Ekonomi Vol 31, No 1 (2020): JUNE 2020
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ae.55153

Rice production is greatly affected by climatic factors which keep changing along with time. Therefore, the effects of climate change on rice production in Indonesia need to be studied. The objectives of this study are to determine: (1) the difference of interregional climate in each region and (2) the impact of climatic factors on rice production in Indonesia. Just and Pope Production function was used as the analytical frameworks, and Cobb-Douglas function form was used to analyze the data. The analysis was conducted with regards to rice production in ten provinces in Indonesia from 1985 to 2017. The result shows that there were some differences in climatic condition in each region in Indonesia. The regression analysis shows that maximum temperature and minimum temperature have positive impacts on rice production, on the other hand, El Nino and La Nina affect the production negatively. The results of this study can be considered by the policy makers in making decisions related to adaptation and mitigation on climate change encounter.

Rice Production Risk in Main Producing Countries 1961-2021 Aura Dhamira; Fadilla Ristya Aminda
Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo Vol. 25 No. 2 (2023)
Publisher : Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37149/bpsosek.v25i2.921

Rice is an important food commodity to meet the high demand for food, especially in Asia. Most of the central producing countries of this commodity are located in Asia, and they play a significant role in supporting the availability of food for the people amidst the significant risks and uncertainties in carrying out rice farming, including the consequences of climate change and pests and diseases. This study aims to (1) find out the trend of rice production and production risks in the central producing countries over 61 years and (2) find out the risks of rice production in each of the central producing countries. This research was conducted using descriptive analysis using secondary data from 1961-2021, which was processed into tables and graphs. Meanwhile, the calculation of production risk is carried out using the coefficient of variation method. The results show that rice production in the central producing countries has a positive trend, where production increases from year to year. This is followed by a decrease in the risk of rice production every year. Vietnam is a country with the most significant rice production risk, while Cina and Brazil are countries with the lowest production risk. The application of programs proclaimed by the government, which are also adapted to the characteristics of farmers and actual conditions in the field, is expectee to minimize production risks so that optimal production can be achieved.

Indonesian Climatic Factors and Its Effect on Cocoa Productivity Aura Dhamira; Herdiana Anggrasari
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.873

One of the important aspects in cocoa cultivation is productivity, as it is related to the ability of national cocoa producers to meet market demand. Cocoa productivity is affected by many factors, including climate factors. On this basis, this study aims to determine the trend of national cocoa productivity and climatic factors (maximum temperature, minimum temperature, mean temperature, and rainfall) and to determine the influence of climatic factors on cocoa productivity. By applying a descriptive method, this research utilized secondary data with a time span between 1961-2021, which were analyzed using quadratic regression model. From the analysis, it was clear that there had been increasing tendency for national cocoa productivity, maximum temperature, minimum temperature, mean temperature and rainfall from year to year. Meanwhile, the climatic factors that affect cocoa productivity are the maximum temperature, minimum temperature, and mean temperature with an optimum point of 30.53°C; 21.31°C and 25.87°C respectively. Temperature generally has a negative effect on cocoa productivity, although it does not have a big impact. However, continuous exposure to temperature will lead to a more harmful threat to cocoa productivity. This research contributes to the use of non-linear regression analysis, especially quadratic regression model in determining climatic factors that influence cocoa productivity in Indonesia, considering that not many studies have used similar model.

Indonesian Climatic Factors and Its Effect on Cocoa Productivity Dhamira, Aura; Anggrasari, Herdiana
West Science Interdisciplinary Studies Vol. 2 No. 05 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i05.873

One of the important aspects in cocoa cultivation is productivity, as it is related to the ability of national cocoa producers to meet market demand. Cocoa productivity is affected by many factors, including climate factors. On this basis, this study aims to determine the trend of national cocoa productivity and climatic factors (maximum temperature, minimum temperature, mean temperature, and rainfall) and to determine the influence of climatic factors on cocoa productivity. By applying a descriptive method, this research utilized secondary data with a time span between 1961-2021, which were analyzed using quadratic regression model. From the analysis, it was clear that there had been increasing tendency for national cocoa productivity, maximum temperature, minimum temperature, mean temperature and rainfall from year to year. Meanwhile, the climatic factors that affect cocoa productivity are the maximum temperature, minimum temperature, and mean temperature with an optimum point of 30.53°C; 21.31°C and 25.87°C respectively. Temperature generally has a negative effect on cocoa productivity, although it does not have a big impact. However, continuous exposure to temperature will lead to a more harmful threat to cocoa productivity. This research contributes to the use of non-linear regression analysis, especially quadratic regression model in determining climatic factors that influence cocoa productivity in Indonesia, considering that not many studies have used similar model.

Non-Tariff Measures and Competitiveness of Indonesia’s Natural Rubber Export in Destination Countries Prasada, Imade Yoga; Dhamira, Aura
AGRARIS: Journal of Agribusiness and Rural Development Research Vol 8, No 2: July-December 2022
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/agraris.v8i2.11392

In the last few decades, the implementation of tariff policies between countries has declined. As a result, the enforcement of non-tariff measures (NTMs) experiences an increase. Implementing NTMs raises a new obstacle to trade activities in the global market, including the trade of Indonesia’s natural rubber. Therefore, this study was conducted to determine the effect of enforcing NTMs on the export competitiveness of Indonesia’s natural rubber. This study utilized secondary data from UN COMTRADE on 1995 to 2019. The data was analyzed using frequency index, coverage ratio, comparative advantage, and two-stage least square regression model. The results revealed that India, China, and the USA enforced the most NTMs of Indonesia’s natural rubber. Additionally, the implementation of NTMs in importing countries positively correlated to the export competitiveness of Indonesia’s natural rubber in destination countries.

Traditional Ecological Knowledge and Farm Household Resilience to Natural Hazards Arini Wahyu Utami; Nadila Puspa Arum Widjanarko; Didik Indradewa; Aura Dhamira; Mutiarra Ridyo Arum; Fathi Alfinur Rizqi; Nurul Amri Komarudin; Din Prabaningtyas
Caraka Tani: Journal of Sustainable Agriculture Vol 39, No 1 (2024): April
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/carakatani.v39i1.79774

This study portrays the roles of Traditional Ecological Knowledge (TEK) in the mitigation of natural hazards. Menoreh Hill in Kulon Progo experienced more than 200 landslides in 2022 and its communities implemented TEK to mitigate them. Hence, this research quantitatively analyzes the role of agriculture-related TEK, especially those applied in hilly areas, to support household resilience to natural hazards. Authors surveyed 106 farm households and interviewed eight key informants in Banjararum and Sidoharjo Villages, Kalibawang and Samigaluh Sub-districts, Kulon Progo Regency, D.I. Yogyakarta. The data were then analyzed using descriptive statistics and binary logistic regression. The descriptive statistics showed that farmers in both villages are highest in practicing alley cropping and integrated farming, while also applying mixed cropping, multiple cropping and locally based planting schedule (pranata mangsa). From binary logistic regression, authors found that TEK practices of multiple cropping, alley cropping and pranata mangsa support farm household resilience to natural hazards, especially landslides. The TEK practices serve as sources of buffer and adaptation capacity in the development of farm household resilience. Interestingly, mixed cropping and membership in farmer groups tend to weaken resilience, as mixed cropping often complicates the recovery efforts in the farmlands, and farmers’ groups are not conditioned to act promptly during hazards or disasters. While TEK has been proven to take roles in the mitigation and adaptation to natural hazards, there is a need to integrate scientific knowledge to improve its optimum benefits.

Investigating Risk of Organic Rice Production in Kapanewon Prambanan: Comparative Study with Non-Organic Rice Farming Aisyah, Dinda Dewi; Dhamira, Aura; Albab, Azizah Ridha Ulil
Agro Ekonomi Vol 35, No 2 (2024): DECEMBER 2024
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ae.88686

The transition from conventional farming to organic continues to increase over time. Organic farming, especially organic rice, is becoming something that farmers are interested in because of higher prices and increased consumer demand for organic food products. However, the transition to conventional farming will eventually be followed by the emergence of risks in farming production. This study investigates the factors influencing the production and production risks of organic and non-organic rice farming in Sleman Regency. A total of 45 farmers were sampled in this study, which was determined by purposive sampling. Data collection was carried out by interview method. The Just and Pope approach of production risk is used in analyzing the determinants of production and production risk. The analysis results show that the membership period in farmer groups, land area, education, and manure significantly affects farming production. At the same time, organic rice farming is proven to produce higher production than non-organic. The factor that significantly increases production risk is the length of membership in farmer groups. Farmers who join farmer groups have the potential to face higher production risks. This research implies that it is important for the government to provide support by empowering farmer groups to support organic rice farming. Intensive assistance can be carried out to ensure that the role of the chairperson and members of the farmer group functions optimally.

Production Risk Analysis in Maize: Comparative Insights from Major Producing Countries Aminda, Fadilla Ristya; Dhamira, Aura; Sari, Ayu Kumala
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1621

Increasing maize productivity is a strategic step for developing the global agricultural sector. Maize plays an important role as a source of food, feed, industrial raw materials, and energy sources. However, maize production faces internal risks, such as capital availability, management capacity, land ownership, and external risks, such as climate change, pest attacks, and limited agricultural inputs. This study discusses the development of maize production risks in ten major producing countries, including the USA, China, Brazil, Argentina, and Mexico. The study uses secondary data from FAOSTAT from 1961-2021 (61 years). The study uses a qualitative method by analysing maize production trends and risks using the coefficient of variation (CV) analysis. The analysis results show that the USA ranks first as the largest maize producer in the world, followed by China and Brazil, with an increasing trend over the past 61 years. This is related to adopting biotechnology, food production, and precision farming systems. France and the USA have low CV values of 0.36 and 0.40, indicating that the risk of maize production in the two countries is relatively low compared to the other eight countries. Maize stabilization in the USA is supported by implementing irrigation and precision farming models to reduce the impact of drought due to climate variability. On the other hand, Argentina, Ukraine, and Indonesia have high CV values, indicating a high risk of maize production in the three countries. Several factors causing high production risks are climate change in the form of increasing average annual temperatures, attacks of Maize Stunt Disease, political challenges, inaccurate use of fertilizers, low technology adoption, and limited resources.

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