稻田既是溫室氣體排放的重要來源,也是農(nóng)業(yè)適應(yīng)氣候變化的主要領(lǐng)域。通過改變水稻的耕作方法既可以降低溫室氣體排放,又能夠影響農(nóng)戶適應(yīng)氣候變化的能力。論文針對(duì)稻田領(lǐng)域的減緩與適應(yīng)問題以泰國(guó)披集府為案例開展研究,識(shí)別該領(lǐng)域減緩與適應(yīng)氣候變化的技術(shù)措施及影響農(nóng)戶行為選擇的主要因素,并提出激勵(lì)機(jī)制。本研究首先建立了基于生命周期溫室氣體排放（LCA-GHG）、效益/成本比（B/C）、邊際減排成本（MAC）等指標(biāo)的水稻種植減緩技術(shù)措施的評(píng)價(jià)方法,并提出了相應(yīng)的計(jì)算公式和模型。然后,基于計(jì)劃行為理論和多元邏輯回歸模型方法建立了農(nóng)戶在水稻種植領(lǐng)域進(jìn)行減緩和適應(yīng)技術(shù)選擇的決策模型。在技術(shù)手段方面本研究重點(diǎn)考慮了中期排水、用硫酸銨代替尿素、以及養(yǎng)分管理等措施。為應(yīng)用上述方法和模型,選擇案例區(qū)域開展了四輪面對(duì)面的訪談?wù){(diào)研以收集一手?jǐn)?shù)據(jù),分別在2013年8月、2014年11月、2015年12月和2016年1月。共收集了661個(gè)農(nóng)戶家庭的樣本,覆蓋了Yom流域的37個(gè)村（321個(gè)農(nóng)戶家庭）和Nan流域的41個(gè)村（340個(gè)農(nóng)戶家庭）。研究結(jié)果表明在灌區(qū)實(shí)施三熟制,即在第一茬和第二茬水稻收割后進(jìn)行綠豆輪作,是最優(yōu)方案;... 

【文章來源】：清華大學(xué)北京市 211工程院校 985工程院校 教育部直屬院校

【文章頁數(shù)】：167 頁

【學(xué)位級(jí)別】：博士

【文章目錄】：
摘要
ABSTRACT
Chapter 1 INTRODUCTION
    1.1 Rice cultivation practice in Thailand
        1.1.1 Rice varieties
        1.1.2 Planting methods
        1.1.3 Water management during growth
        1.1.4 Fertilization
        1.1.5 Use of pesticides and herbicides
        1.1.6 Harvesting methods
        1.1.7 Rice residues management
    1.2 Greenhouse gas mitigation techniques
        1.2.1 Water management
        1.2.2 Inhibitor application
        1.2.3 Reduction on nitrous oxide emission
    1.3 Climate change adaptation
    1.4 Significance of this research
    1.5 Research questions
    1.6 Objectives
    1.7 Scope of the study
Chapter 2 METHODOLOGY
    2.1 Methodological framework
    2.2 Study area
    2.3 Field survey and data collection
        2.3.1 A quantitative approach
        2.3.2 A qualitative approach
    2.4 System boundary, functional unit and limitations
    2.5 GHG emissions calculation
        2.5.1 GHG emissions from raw materials production
        2.5.2 GHG emissions from utilization
        2.5.3 CH4 emission from rice cultivation
        2.5.4 N2O emission from managed soils
        2.5.5 GHG emissions from field burning
    2.6 Economic analysis
        2.6.1 B/C ratio
        2.6.2 Net Profit
        2.6.3 Marginal Abatement Cost （MAC） and Average Abatement Cost （AAC）
    2.7 Logistic regression model
        2.7.1 Binary logistic model for farmer decision
        2.7.2 Multinomial logistic model for mitigation and adaptation strategies
    2.8 Empirical specification of econometric approach variables
    2.9 Theory of planned behavior
    2.10 Communicating adaptation to climate change （CACC）
Chapter 3 ALTERNATIVE CROPPING SYSTEMS FOR GREENHOUSE GASES MITIGATION IN RICE FIELD
    3.1 Introduction
    3.2 Materials and methods
        3.2.1 Site selection
        3.2.2 Data collection
        3.2.3 System boundary, functional unit and GHG emissions calculation
        3.2.4 Economic analysis: benefit-cost ratio （B/C）, net profit and average abatement cost （AAC）
        3.2.5 Statistical analysis
    3.3 Results and discussion
        3.3.1 GHG emissions based on life cycle stage in different cropping systems
        3.3.2 Crop yields and GHG emissions from different cropping systems
        3.3.3 GHG emissions from different farm sizes
        3.3.4 Cost and benefit structure, B/C ratio and AAC
    3.4 Summary
Chapter 4 INCENTIVE MEASURES AND FARMER ACCEPTANCE OF MITIGATION TECHNIQUES FOR RICE PRODUCTION
    4.1 Introduction
    4.2 Materials and methods
        4.2.1 Analytical framework
        4.2.2 Mitigation technique selection
        4.2.3 Site selection
        4.2.4 Data collection
        4.2.5 System boundary, functional unit and GHG emissions calculation
        4.2.6 Economic analysis
        4.2.7 Evaluation of acceptability to farmers
        4.2.8 Estimating the determinants of mitigation techniques and socio-economic variables
    4.3 Results and discussion
        4.3.1 Summary statistics
        4.3.2 Cost of rice production under BAU and mitigation techniques
        4.3.3 GHG emissions, abatement potential and AAC under BAU and using mitigation techniques
        4.3.4 Acceptability to farmers of mitigation techniques and barriers to acceptance
        4.3.5 Factors determining farmers’ decision
        4.3.6 Comprehensive implementation mechanisms for developing incentive measures
    4.4 Summary
Chapter 5 FARMERS’ INTENTION AND DECISION TO ADAPT TO CLIMATE CHANGE
    5.1 Introduction
    5.2 Materials and methods
        5.2.1 Conceptual framework
        5.2.2 Econometric approach
        5.2.3 Socio-psychological approach and variables analysis
        5.2.4 Study area
        5.2.5 Survey method
        5.2.6 Climate trend and variability
    5.3 Results and discussion
        5.3.1 Summary statistics
        5.3.2 Farmers’ perceptions of climate change, adaptation strategies, and barriers
        5.3.3 Estimation results of farmers’ decision to adaptation and adaptation strategies
        5.3.4 Testing the ability of the TPB and influencing factors for non-adapt farmer’s intention
        5.3.5 Policy implication
    5.4 Summary
Chapter 6 CONCLUSIONS AND RECOMMENDATIONS
    6.1 Conclusions
    6.2 Recommendations
REFERENCES
ACKNOWLEDGEMENTS
APPENDIX A
APPENDIX B
RESUME



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