Correlation of Rice Production and Greenhouse Gas Emissions in North Sulawesi Province

  • Andreas Aprilano Thomas Suli Nasional Research and Inovation Agency, Center for Behavioral and Circular Economics Research, Jl. Gatot Subroto, Kuningan Barat, Jakarta Selatan 12710
  • Mario Damanik Nasional Research and Inovation Agency, Center for Behavioral and Circular Economics Research, Jl. Gatot Subroto, Kuningan Barat, Jakarta Selatan 12710


This study aimed to reveal correlation, calculate significance, and discover the regression equation of rice production to Green House Gas (GHG) emission in North Sulawesi Province. The data on GHG emissions from rice cultivation (Gg CO2eq) was obtained from the Ministry of Environment and Forestry of Indonesia. Data on rice production from wetland and dryland (Gg) was from the BP Statistical Review annual period of 2000-2021, both for North Sulawesi Province. Data analysis of correlation coefficient, F-test for Regression, and Simple Regression Analysis will be processed with the help application of MS Excel. The results show that the correlation between rice production and emission of rice cultivation in North Sulawesi Province is 0.53 and classified as a moderate correlation. The coefficient of determination stated that the emission of rice cultivation could be explained by about 28.6% from rice production. Therefore, rice production is statistically significant to the emission of rice cultivation with a 5% confidence level for North Sulawesi Province. Furthermore, this study found a regression equation, emission of rice cultivation is 112.67 + 0.516 times rice production.


Keywords: correlation coefficient, green house gas emission, rice production


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Ahmad HA, Mariano M. 2006. Comparison of Forecasting Methodologies Using Egg Price as a Test Case. Poultry Science. 85: 798–807.

Anwar S, Rachmawaty E, Marjaka W, Arunarwati M, Boer R, Gumilang DR, Siagian UW, Ardiansyah M, Sunkar A, Masri YA, Rosehan A, Tosiani A, Rossita A, Darmawan A, Yusara A, Marthinus D, Riana E, Pratiwi E, Novitri F, Zamzani F, Suryanti Y. 2021. INDONESIA Third Biennial Update Report Under the United Nations Framework Convention on Climate Change REPUBLIC OF INDONESIA Coordinating Lead Authors Acknowledgement: Ministry of Environment and Forestry would like to thank to Ministry of Energy and Mineral Resources.

Balikai FA, Javali SB, Shindhe VM, Deshpande N, Benni JM, Shetty DP, Kapoor N, Jaalam K. 2022. Correlation of serum HDL level with HRV indices using multiple linear regression analysis in patients with type 2 diabetes mellitus. Diabetes Research and Clinical Practice. 190. j.diabres.2022.109988

Bondarchuk SV. 2022. On prediction of melting points without computer simulation: A focus on energetic molecular crystals. FirePhysChem. 2(2): 160–167.

Braun MR, Beck SBM, Walton P, Mayfield M. 2016. Estimating the impact of climate change and local operational procedures on the energy use in several supermarkets throughout Great Britain. Energy and Buildings. 111: 109–119. j.enbuild.2015.11.038

Brumercikova E, Bukova B. 2020. The Regression and Correlation Analysis of Carried Persons by Means of Public Passenger Transport of the Slovak Republic. Transportation Research Procedia. 44: 61–68. https://

BPS-Statistic of Sulawesi Utara Province. 2022. Sulawesi Utara Province in Figures 2022. Manado, BPS-Statistic of Sulawesi Utara Province

Carter J, Szymanski J, Cantilena C, Adams S, Sahu S, Flegel W A. 2017. Continuous Platelet Transfusion As a Potential Desensitization Regimen in HLA Class I Alloimmune-Mediated Platelet Refractoriness. https://

Chakraborty S, Choudhury PP. 1999. Can Statistics Provide a Realistic Measure for an Algorithm’s Complexity? In PERGAMON Applied Mathematics Letters (Vol. 12).

Deprá MC, Dias RR, Zepka LQ, Jacob-Lopes E. 2022. Building cleaner production: How to anchor sustainability in the food production chain? Environmental Advances, 9, 100295. 10.1016/j.envadv.2022.100295

Esfahanian M, Nikzad M, Najafpour G, Ghoreyshi AA. 2013. Modelovanje i optimizacija alkoholne ferementacije sa saccharomyces cerevisiae: Metodologija površine odziva i veštačka neuronska mreža. Chemical Industry and Chemical Engineering Quarterly. 19(2): 241–252. CICEQ120210058E

[FAO] Food and Agriculture Organization. 2021. The State of Food and Agriculture 2021. Making agrifood systems more resilient to shocks and stresses. Rome, FAO. cb4476en

Guo C, Liu X, He X. 2022. A global meta-analysis of crop yield and agricultural greenhouse gas emissions under nitrogen fertilizer application. Science of the Total Environment. 831. j.scitotenv.2022.154982

He G, Liu X, Cui Z. 2021. Achieving global food security by focusing on nitrogen efficiency potentials and local production. Global Food Security. 29. 10.1016/j.gfs.2021.100536

Islam MU, Guo Z, Jiang F, Peng X. 2022. Does straw return increase crop yield in the wheat-maize cropping system in China? A meta-analysis. Field Crops Research. 279. j.fcr.2022.108447

Krizsan SJ, Sairanen A, Höjer A, Huhtanen P. 2014. Evaluation of different feed intake models for dairy cows. Journal of Dairy Science. 97(4): 2387–2397.

Lubis M I, Langston JD. 2015. Understanding Landscape Change Using Participatory Mapping and Geographic Information Systems: Case Study in North Sulawesi, Indonesia. Procedia Environmental Sciences. 24: 206–214. 027

Marzouk OA. 2021. Assessment of global warming in Al Buraimi, sultanate of Oman based on statistical analysis of NASA POWER data over 39 years, and testing the reliability of NASA POWER against meteorological measurements. Heliyon. 7(3). https://

Mchugh N, Berry DP, Pabiou T. 2016. Risk factors associated with lambing traits. Animal. 10(1): 89–95.

Pieloch-Babiarz A, Misztal A, Kowalska M. 2021. An impact of macroeconomic stabilization on the sustainable development of manufacturing enterprises: the case of Central and Eastern European Countries. Environment, Development and Sustainability. 23(6): 8669–8698. 10.1007/s10668-020-00988-4

Purba P, Pratiwi P. 2020. Human Resource Characteristics of The Agricultural Sector in North Sulawesi. Agroland: The Agricultural Sciences Journal. 7(1): 9–16. agroland.v6i1.3

Radwan A, Hongyun H, Achraf A, Mustafa AM. 2022. Energy use and energy-related carbon dioxide emissions drivers in Egypt’s economy: Focus on the agricultural sector with a structural decomposition analysis. Energy. 258.

Raihan A, Muhtasim DA, Farhana S, Hasan MAU, Pavel MI, Faruk O, Rahman M, Mahmood A. 2022. Nexus between economic growth, energy use, urbanization, agricultural productivity, and carbon dioxide emissions: New insights from Bangladesh. Energy Nexus. 8: 100144. 2022.100144

Raihan A, Tuspekova A. 2022. Nexus between economic growth, energy use, agricultural productivity, and carbon dioxide emissions: new evidence from Nepal. Energy Nexus. 7: 100113.

Roca LS, Schoemaker SE, Pirok BWJ, Gargano AFG, Schoenmakers PJ. 2020. Accurate modelling of the retention behaviour of peptides in gradient-elution hydrophilic interaction liquid chromatography. Journal of Chromatography A. 1614. j.chroma.2019.460650

Rodrigues MX, Lima SF, Canniatti-Brazaca SG, Bicalho RC. 2017. The microbiome of bulk tank milk: Characterization and associations with somatic cell count and bacterial count. Journal of Dairy Science. 100(4): 2536–2552.

Rusakov DA. 2022. A misadventure of the correlation coefficient. In Trends in Neurosciences. Elsevier.

Schober P, Schwarte LA. 2018. Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia. 126(5): 1763–1768. 10.1213/ANE.0000000000002864

Shin SY, Kim TH. 2016. Correlation between the size of the incisive papilla and the distance from the incisive papilla to the maxillary anterior teeth. Journal of Dental Sciences. 11(2): 141–145. 10.1016/j.jds.2015.09.005

Sinkhonde D. 2022. Generating response surface models for optimisation of CO2 emission and properties of concrete modified with waste materials. Cleaner Materials. 6. j.clema.2022.100146

Slamini M, Sbaa M, Arabi M, Darmous A. 2022. Review on Partial Root-zone Drying irrigation: Impact on crop yield, soil and water pollution. In Agricultural Water Management (Vol. 271). Elsevier BV. https://

Sugiarti R, Erlangga E, Suhariadi F, Winta MVI, Pribadi AS. 2022. The influence of parenting on building character in adolescents. Heliyon. 8(5). https://

Sun F, DAI Y, Yu X. 2017. Air pollution, food production and food security: A review from the perspective of food system. In Journal of Integrative Agriculture. 16(12): 2945–2962. Chinese Academy of Agricultural Sciences.

Tian X, Engel BA, Qian H, Hua E, Sun S, Wang Y. 2021. Will reaching the maximum achievable yield potential meet future global food demand? Journal of Cleaner Production. 294. j.jclepro.2021.126285

Walangitan HD, Setiawan B, Raharjo BT, Polii B. 2012. Optimization of Land Use and Allocation to Ensure Sustainable Agriculture in the Catchment Area of Lake Tondano, Minahasa, North Sulawesi, Indonesia. International Journal of Civil & Environmental Engineering IJCEE-IJENS. 12(3): 68–75.

Wang R, Zhang Y, Zou C. 2022. How does agricultural specialization affect carbon emissions in China? Journal of Cleaner Production. 370. https://

Wang Y, Zhao J, Yang C, Xu D, Ge J. 2022. Remaining useful life prediction of rolling bearings based on Pearson correlation-KPCA multi-feature fusion. Measurement: Journal of the International Measurement Confederation. 201. 10.1016/j.measurement.2022.111572

Wantasen S, Sugiharto E, Suprayogi S. 2012. The Impact of Nitrogen Transformation on The Biotic Environment in The Lake Tondano North Sulawesi. Jurnal Manusia dan Lingkungan 19(2): 143-149.

Wei H, Zhang F, Zhang K, Qin R, Zhang W, Sun G, Huang J. 2022. Effects of soil mulching on staple crop yield and greenhouse gas emissions in China: A meta-analysis. Field Crops Research. 284.

Wu W, Yu Q, You L, Chen K, Tang H, Liu J. 2018. Global cropping intensity gaps: Increasing food production without cropland expansion. Land Use Policy, 76, 515–525. 02.032

Yang H, Li AK, Yin YL, Li TJ, Wang ZR, Wu G, Huang RL, Kong XF, Yang CB, Kang P, Deng J, Wang SX, Tan BE, Hu Q, Xing FF, Wu X, He QH, Yao K, Liu ZJ, Fan M Z. 2007. True phosphorus digestibility and the endogenous phosphorus outputs associated with brown rice for weanling pigs measured by the simple linear regression analysis technique. Animal. 1(2): 213–220. 257945

Yu W, Shen X, Wu B, Kong L, Xuan K, Zhao C, Cao X, Hao X, Li X, Zhang H, Yao Z. 2023. Real-world emission characteristics of carbonyl compounds from agricultural machines based on a portable emission measurement system. Journal of Environmental Sciences (China). 124: 846–859. https://

Yue H, Banerjee S, Liu C, Ren Q, Zhang W, Zhang B, Tian X, Wei G, Shu D. 2022. Fertilizing-induced changes in the nitrifying microbiota associated with soil nitrification and crop yield. Science of the Total Environment. 841. 2022.156752

Zeng W, Lu T, Liu Z, Xu Q, Peng H, Li C, Yang S, Yao F. 2021. Research on a laser ultrasonic visualization detection method for human skin tumors based on pearson correlation coefficient. Optics and Laser Technology. 141. 2021.107117

How to Cite
Thomas SuliA. A., & DamanikM. (2023). Correlation of Rice Production and Greenhouse Gas Emissions in North Sulawesi Province. Jurnal Ilmu Pertanian Indonesia, 28(2), 229-234.