Open Access

Valorization Methodology for Agriculture Sector Climate Change Mitigation Measures


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[1] Official statistics of Latvia. Official statistics portal. Population number, its changes and density. Population of rural and urban territories [Online]. [Accessed 03.01.2021]. Available: https://stat.gov.lv/en/statistics-themes/population/population-number/247-population-number-its-changes-and-density Search in Google Scholar

[2] Ministry of Economy. Latvijas ekonomikas attīstības pārskats (Latvian economic development report.). Rīga: MoE, 2019. (in Latvian) Search in Google Scholar

[3] European Commission. Commission staff working document. Commission recommendations for Latvia’s CAP strategic plan. SWD (2020) 386 final. Brussels: European Commission, 2020. Search in Google Scholar

[4] Gancone A., et al. Latvia’s National GHG Inventory report 1990 – 2018 to the UNFCCC. Riga: VARAM, 2020. Search in Google Scholar

[5] Latvia’s National Energy and Climate plan 2021. – 2030. Riga: Cabinet of Ministers, 2020. Search in Google Scholar

[6] Gancone A., et al. Latvia’s forth Biennial Report to the UNFCCC. Riga: VARAM, 2019. Search in Google Scholar

[7] European Commission. Communication from the commission – The European Green Deal. COM/2019/640 final. Brussels: European Commission, 2019. Search in Google Scholar

[8] Fusco G., et al. How to Improve the Diffusion of Climate-Smart Agriculture: What the Literature Tells us. Sustainability 2020:12(12):5168. https://doi.org/10.3390/su1212516810.3390/su12125168 Search in Google Scholar

[9] Muizniece I., et al. Circular Economy and Bioeconomy Interaction Development as Future for Rural Regions. Case Study of Aizkraukle Region in Latvia. Environmental and Climate Technologies 2019:23(3):129–146. https://doi.org/10.2478/rtuect-2019-008410.2478/rtuect-2019-0084 Search in Google Scholar

[10] Pubule J., et al. Sectoral Greenhouse Gas Emission Mitigation Possibilities. Why Broad Spectrum of Indicators is Applied. Energy Procedia 2017:113:377–381. https://doi.org/10.1016/j.egypro.2017.04.01510.1016/j.egypro.2017.04.015 Search in Google Scholar

[11] Brazdausks P., et al. Evaluation of cellulose content in hemp shives after salt catalyzed hydrolysis. Energy Procedia 2017:128:297–301. https://doi.org/10.1016/j.egypro.2017.08.31610.1016/j.egypro.2017.08.316 Search in Google Scholar

[12] IPCC. Climate change 2014. Synthesis report. Geneva: IPCC, 2015. Search in Google Scholar

[13] European Commission. A Farm to Fork Strategy for a fair, healthy and environmentally-friendly food system. COM/2020/381 final. Brussels: European Commission, 2020. Search in Google Scholar

[14] Lipper L., Zilberman D. A Short History of the Evolution of the Climate Smart Agriculture Approach and Its Links to Climate Change and Sustainable Agriculture Debates. In Lipper L., McCarthy N., Zilberman D., Asfaw S., Branca G. (eds) Climate Smart Agriculture. Natural Resource Management and Policy 2018:52:13–30. https://doi.org/10.1007/978-3-319-61194-5_210.1007/978-3-319-61194-5_2 Search in Google Scholar

[15] Food and agriculture organization of the United Nations. CLIMATE-SMART AGRICULTURE Sourcebook. Rome: FAO, 2013. Search in Google Scholar

[16] “Climate-Smart” Agriculture Policies, Practices and Financing for Food Security, Adaptation and Mitigation Food and Agriculture Organization of the United Nations. Rome: FAO, 2010. Search in Google Scholar

[17] Lipper L., et al. Climate-smart agriculture for food security. Nature Climate Change 2014:4:1068–1072. https://doi.org/10.1038/nclimate243710.1038/nclimate2437 Search in Google Scholar

[18] Amin A., et al. Climate Smart Agriculture: an approach for sustainable food security. Agricultural Research Communication 2015:2(3):13–21. Search in Google Scholar

[19] Climate Smart Agriculture [Online]. [Accessed: 22.03.2021]. Available: https://www.iaea.org/topics/climate-smart-agriculture Search in Google Scholar

[20] Campbell B. M., et al. Sustainable intensification: What is its role in climate smart agriculture? Current Opinion in Environmental Sustainability 2014:8:39–43. https://doi.org/10.1016/j.cosust.2014.07.002.10.1016/j.cosust.2014.07.002 Search in Google Scholar

[21] Pagliacci F., et al. Drivers of farmers’ adoption and continuation of climate-smart agricultural practices. A study from northeastern Italy. Science of The Total Environment 2020:710:136345. https://doi.org/10.1016/j.scitotenv.2019.13634510.1016/j.scitotenv.2019.13634531927289 Search in Google Scholar

[22] Climate-Smart Agriculture. World Bank [Online]. [Accessed: 22.03.2021]. Available: https://www.worldbank.org/en/topic/climate-smart-agriculture Search in Google Scholar

[23] Long T. B., Blok V., Coninx I. The diffusion of climate-smart agricultural innovations: Systems level factors that inhibit sustainable entrepreneurial action. Journal of Cleaner Production 2019:232:993–1004. https://doi.org/10.1016/j.jclepro.2019.05.21210.1016/j.jclepro.2019.05.212 Search in Google Scholar

[24] Tesfai M., et al. Transition towards bio-based economy in small-scale agriculture in Sub-Saharan Africa through sustainable intensification. The Bioeconomy Approach. Constraints and Opportunities for Sustainable Development. London: Routledge, 2020.10.4324/9780429320651-5 Search in Google Scholar

[25] Senyolo M. P., et al. How the characteristics of innovations impact their adoption: an exploration of climate-smart agricultural innovations in South Africa. Journal of Cleaner Production 2018:172:3825–3840. https://doi.org/10.1016/j.jclepro.2017.06.01910.1016/j.jclepro.2017.06.019 Search in Google Scholar

[26] Khatri-Chhetri A., et al. Stakeholders prioritization of climate-smart agriculture interventions: Evaluation of a framework. Agricultural Systems 2019:174:23–31. https://doi.org/10.1016/j.agsy.2019.03.00210.1016/j.agsy.2019.03.002 Search in Google Scholar

[27] Long T. B., Blok V., Coninx I. Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: evidence from the Netherlands, France, Switzerland and Italy. Journal of Cleaner Production 2016:112(1):9–21. https://doi.org/10.1016/j.jclepro.2015.06.044.10.1016/j.jclepro.2015.06.044 Search in Google Scholar

[28] Harold A. L., Turoff M., Helmer O. The Delphi Method Techniques and Applications. Boston: Addison-Wesley, 2002. Search in Google Scholar

[29] Green R.A. The Delphi Technique in Educational Research. Education Theory and Practice, Educational Research, Research Methods 2014:4(2). https://doi.org/10.1177/215824401452977310.1177/2158244014529773 Search in Google Scholar

[30] Dick S., et al. The Delphi Method Research Strategy in Studies of Information Systems. Communications of the Association for Information Systems 2015:37:31–63. https://doi.org/10.17705/1CAIS.0370210.17705/1CAIS.03702 Search in Google Scholar

[31] San-Jose L., Retolaza J. L. Is the Delphi method valid for business ethics? A survey analysis. European Journal for Futures Research 2016:4:19. https://doi.org/10.1007/s40309-016-0109-x10.1007/s40309-016-0109-x Search in Google Scholar

[32] Rowe G., Wright G., Expert Opinions in Forecasting. Role of the Delphi Technique. Principles of Forecasting: A Handbook of Researchers and Practitioners. In Armstrong J.S. (eds) Principles of Forecasting. International Series in Operations Research & Management Science 2001:30:125–144. https://doi.org/10.1007/978-0-306-47630-3_710.1007/978-0-306-47630-3_7 Search in Google Scholar

[33] Pubule J., et al. Finding an optimal solution for biowaste management in the Baltic States. Journal of Cleaner Production 2015:88:214–223. https://doi.org/10.1016/j.jclepro.2014.04.053.10.1016/j.jclepro.2014.04.053 Search in Google Scholar

[34] Hwang C. L., Yoon K. Multiple Attribute Decision Making. Springer, 1981. https://doi.org/10.1007/978-3-642-48318-910.1007/978-3-642-48318-9 Search in Google Scholar

[35] Tzeng G. H., Huang J. J. Multiple Attribute Decision Making: Methods and Applications. Chapman and Hall/CRC, 2011. https://doi.org/10.1201/b1103210.1201/b11032 Search in Google Scholar

[36] UNFCCC. Report on the technical review of the fourth biennial report of Latvia. Bonn: UNFCCC, 2020. Search in Google Scholar

[37] Bumbiere K., et al. Carbon balance of biogas production from maize in Latvian conditions. Agronomy Research 2021:19(1):687–697. https://doi.org/10.15159/AR.21.085 Search in Google Scholar

[38] Rivza P., et al. Greenhouse gas emission reduction opportunities with climate-friendly agriculture and forestry in Latvia. Jelgava: LLU, 2018. (in Latvian) Search in Google Scholar

[39] Popluga D., Naglis-Liepa K. Evaluation of measures for mitigation of greenhouse gas emissions suitable for Latvian agriculture. Engineering for Rural Development 2015:584–589. Search in Google Scholar

[40] Bumbiere K., et al. Ranking of Bioresources for Biogas Production. Environmental and Climate Technologies 2020:24(1):368–377. https://doi.org/10.2478/rtuect-2020-0021.10.2478/rtuect-2020-0021 Search in Google Scholar

[41] Bumbiere K., Pubule J., Blumberga D. What Will Be the Future of Biogas Sector? Environmental and Climate Technologies 2021:25(1):295–305. https://doi.org/10.2478/rtuect-2021-0021.10.2478/rtuect-2021-0021 Search in Google Scholar

[42] Naglis-Liepa K., Popluga D. Integrated impact assessment of agricultural GHG abatement measures.2018. Proceedings of the 2018 International Conference “Economic science for rural development” 2018:49:77–83. https://doi.org/10.22616/ESRD.2018.12110.22616/ESRD.2018.121 Search in Google Scholar

[43] Oliveira M. F., et al. Innovations in Sustainable Agriculture: Case Study of Lis Valley Irrigation District, Portugal. Sustainability 2019:11(2):331. https://doi.org/10.3390/su11020331.10.3390/su11020331 Search in Google Scholar

eISSN:
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Language:
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Journal Subjects:
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