A evaluation index system of forest carbon sequestration poverty alleviation performance based on the CDM Forest Carbon Sequestration Project

ZENG Weizhong, CHENG Ying, YANG Fan

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2018, Vol. 42 ›› Issue (04) : 9-17.

PDF(1434734 KB)
南京林业大学学报（自然科学版）
PDF(1434734 KB)
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2018, Vol. 42 ›› Issue (04) : 9-17. DOI: 10.3969/j.issn.1000-2006.201710009

A evaluation index system of forest carbon sequestration poverty alleviation performance based on the CDM Forest Carbon Sequestration Project

  • ZENG Weizhong1, CHENG Ying2, YANG Fan1, 3*
Author information +
History +

Abstract

Abstract: 【Objective】Construct a scientific evaluation index system for evaluating the performance of forest carbon sequestration for poverty alleviation so as to increase transparency, to strengthen faithfulness and dedication of poverty alleviation bodies, and to correct the deviation of poverty alleviation measures. 【Method】 From the perspective of combining regional poverty alleviation and targeted poverty alleviation, based on Amartya Sen's theory of capability, this study constructed a performance evaluation index system for poverty alleviation by the Forestry Carbon Sequestration, Commodity, and Biodiversity Project of Novartis in the southwest Sichuan Province of China by taking into account the economic benefit, developmental ability, and opportunity availability for development, and by using analytic hierarchy process and entropy weighing method. 【Result】Based on the empirical analysis of the clean development mechanism(CDM)afforestation and reforestation project, the evaluation system of employment, income, human capital, infrastructure, industrial development, low carbon finance and ecological environment was developed on the basis of economic benefit, development ability, and development opportunity. There existed differences in the contributions of economic benefit, developmental ability and opportunities available for development to the overall poverty alleviation performance by forest carbon sequestration. With the indication that economic benefit enables poor people to gain more income in the short term, and has been reported within a relatively shorter time span. On the other hand, after creating opportunities for development, the developmental abilities of the poor should be correspondingly enhanced as well, which requires more time and denotes the long term effects. However, what should be highlighted is that each indicator in the system needs to be given equal weightage, as each of them plays an important role in improving poverty alleviation performance. 【Conclusion】 The performance of poverty alleviation increased with the further implementation of the forest carbon sequestration project, and the effect of poverty alleviation was achieved. The performance of poverty alleviation differed among the evaluated bodies, and summarizing the experience and reflecting on the deficiency of each region was frequently needed to strengthen exchanges and mutual learning to continuously improve the performance of poverty alleviation by forest carbon sequestration project. The performance evaluation index system of poverty alleviation by forest carbon sequestration developed in this study provides a relatively objective and convenient, dynamic evaluation method, which can be used for tracking the performance of poverty alleviation by forest carbon sequestration in different temporal and spatial conditions.

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
ZENG Weizhong, CHENG Ying, YANG Fan. A evaluation index system of forest carbon sequestration poverty alleviation performance based on the CDM Forest Carbon Sequestration Project[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2018, 42(04): 9-17 https://doi.org/10.3969/j.issn.1000-2006.201710009

References

[1] GOLUB A, HERTEL T, LEE H L, et al. The opportunity cost of land use and the global potential for greenhouse gas mitigation in agriculture and forestry[J]. Resource and Energy Economics, 2009, 31(4):299-319.
[2] 曾维忠, 刘胜, 杨帆, 等. 扶贫视域下的森林碳汇研究综述[J]. 农业经济问题, 2017,37(2):102-109. ZENG W Z, LIU S, YANG F, et al. Review of forest carbon sequestration research from the perspective of poverty alleviation[J]. Issues in Agricultural Economy, 2017,37(2):102-109.
[3] 许吟隆, 居辉. 气候变化与贫困: 中国案例研究[J]. 世界环境, 2009(4):50-53. XU Y L, JU H. Climate change and poverty: a case study of China[J]. World Environment, 2009(4):50-53.
[4] MILDER J C, SCHERR S J, BRACER C. Trends and future potential of payment for ecosystem services to alleviate rural poverty in developing countries[J]. Ecology and Society, 2010, 15(2):634-634.
[5] 陈冲影. 森林碳汇与农户生计——以全球第一个森林碳汇项目为例[J]. 世界林业研究, 2010, 23(5):15-19. CHEN C Y. Forestry carbon sequestration and local households' livelihoods: taking the first CDM forestry carbon project in the world as example[J]. World Forestry Research, 2010, 23(5):15-19.
[6] CHEN C C, MCCARL B, CHANG C C, et al. Evaluation the potential economic impacts of Taiwanese biomass energy production[J]. Biomass and Bioenergy, 2011, 35(5):1693-1701.
[7] 马盼盼. 森林碳汇与川西少数民族贫困地区发展研究[D]. 成都: 四川省社会科学院, 2012. MA P P. Research on forest carbon sinks and the development of poverty-stricken ethnic minority areas in western Sichuan Province[D]. Chengdu: Sichuan Academy of Social Sciences, 2012.
[8] 储蓉, 周芳. 森林碳汇与经济增长的库兹涅茨倒“U”型研究[J]. 中南林业科技大学学报, 2012, 32(10):94-99. CHU R, ZHOU F. Study of Kuznets inverted U-shaped relation between forest carbon sink and economic growth[J]. Journal of Central South University of Forestry and Technology, 2012, 32(10):94-99.
[9] CHIA E L, SOMORIN O A, SONWA D J, et al. Local vulnerability, forest communities and forest-carbon conservation: case of southern Cameroon[J]. International Journal of Biodiversity and Conservation, 2013(5):498-507.
[10] 丁一, 马盼盼. 森林碳汇与川西少数民族地区经济发展研究——以四川省凉山彝族自治州越西县为例[J]. 农村经济, 2013(5):38-41. DING Y, MA P P. Research on forest carbon sinks and the development of poverty: stricken ethnic minority areas in western Sichuan Province[J]. Rural Economy, 2013(5):38-41.
[11] 吕植. 中国森林碳汇实践与低碳发展[M]. 北京: 北京大学出版社, 2014. LÜ Z. China's forest carbon sequestration practices and low carbon development[M]. Beijing: Peking University Press, 2014.
[12] SEN A. Development as freedom[M]. London: Oxford University Press, 1999.
[13] 游新彩, 田晋. 民族地区综合扶贫绩效评价方法及实证研究[J]. 科学经济社会, 2009, 27(3):7-13. YOU X C, TIAN J. Comprehensive poverty alleviation performance appraisal methods and empirical research in national areas[J]. Science Economy Society, 2009, 27(3):7-13.
[14] 向德平, 高飞. 政策执行模式对于扶贫绩效的影响——以1980年代以来中国扶贫模式的变化为例[J]. 华中师范大学学报(人文社会科学版), 2013, 52(6):12-17. XIANG D P, GAO F. On the impact of policy implementation modes on the performance of poverty reduction[J]. Journal of Huazhong Normal University(Humanities and Social Sciences), 2013, 52(6):12-17.
[15] 徐莉萍, 凌彬, 谭天瑜. 我国农村扶贫利益共同体综合绩效评价模式研究[J]. 农业经济问题, 2013, 34(12):58-64. XU L P, LING B, TAN T Y. Research on comprehensive performance evaluation model of rural poverty alleviation interest community in China[J]. Issues in Agricultural Economy, 2013, 34(12):58-64.
[16] 陈升, 潘虹, 陆静. 精准扶贫绩效及其影响因素: 基于东中西部的案例研究[J]. 中国行政管理, 2016(9):88-93. CHEN S, PAN H, LU J. Case study on factors influencing the performance of accurate poverty alleviation[J]. Chinese Public Administration, 2016(9):88-93.
[17] EDWARDS A C. Wage employment and rural poverty alleviation[C]//LPEZ R, VALDÉs A. Rural poverty in Latin America. London: Palgrave Macmillan, 2000.
[18] 李小云. 精准扶贫须建立村级分权制度[N]. 光明日报, 2014-07-08(11).
[19] 任超, 袁明宝. 分类治理: 精准扶贫政策的实践困境与重点方向——以湖北秭归县为例[J]. 北京社会科学, 2017(1):100-108. REN C, YUAN M B. Classification management: the problems in practice and focus direction in targeted poverty reduction policies: take Zigui County of Hubei Provence as an example[J]. Social Science of Beijing, 2017(1):100-108.
[20] 马建堂. 认真学习贯彻习近平总书记重要讲话精神齐心协力打赢脱贫决胜攻坚战[J]. 国家行政学院学报, 2016(2):4-10. MA J T. We should conscientiously study and implement the spirit of the important speech of general secretary Xi Jinping and work together to win the battle to get rid of poverty[J]. Journal of China National School of Administration, 2016(2):4-10.
[21] 张义博. 农业现代化视野的产业融合互动及其路径找寻[J]. 改革, 2015(2):98-107. ZHANG Y B. Industry convergence, interaction and its path in the view of agricultural modernization[J]. Reform, 2015(2):98-107.
[22] 邹新阳. 碳金融与农村金融的互动研究——基于碳金融的本土化与农村金融创新的理念[J]. 农业技术经济, 2011(6):70-76. ZOU X Y. Study on the interaction between carbon finance and rural finance[J]. Journal of Agro-technical Economics, 2011(6):70-76.
[23] 张艳, 漆雁斌, 贾阳. 低碳农业与碳金融良性互动机制研究[J]. 农业经济问题, 2011, 32(6):96-102. ZHANG Y, QI Y B, JIA Y. Study on the benign interaction mechanism of low carbon agriculture and carbon finance[J]. Issues in Agricultural Economy, 2011, 32(6):96-102.
[24] 季曦, 王小林. 碳金融创新与“低碳扶贫”[J]. 农业经济问题, 2012,33(1):79-87. JI X, WANG X L. Carbon financial innovation and poverty alleviation[J]. Issues in Agricultural Economy, 2012,33(1):79-87.
[25] 蓝虹, 朱迎, 穆争社. 论化解农村金融排斥的创新模式——林业碳汇交易引导资金回流农村的实证分析[J]. 经济理论与经济管理, 2013(4):43-50. LAN H, ZHU Y, MU Z S. Study on the innovation mode of rural finance: an empirical analysis of forestry carbon sequestration transaction[J]. Economic Theory and Business Management, 2013(4):43-50.
[26] 李双成, 许月卿, 傅小锋. 基于GIS和ANN的中国区域贫困化空间模拟分析[J]. 资源科学, 2005, 27(4):76-81. LIS C, XU Y Q, FU X F. Spatial simulation using GIS and ANN for regional pauperization in China[J]. Resources Science, 2005, 27(4):76-81.
[27] 曾永明, 张果. 基于GIS和BP神经网络的区域农村贫困空间模拟分析——一种区域贫困程度测度新方法[J]. 地理与地理信息科学, 2011, 27(2):70-75. ZENG Y M, ZHANG G. Spatial simulating in regional rural poverty based on GIS and BP neural network: a new appraisement method on regional rural poverty[J]. Geography and Geo-Information Science, 2011, 27(2):70-75.
[28] 朱立志, 谷振宾. 生态减贫:包容性发展视角下的路径选择[C]. 北京:2014中国可持续发展论坛, 2014. ZHU L Z, GU Z B. Ecological poverty reduction: path selection from the perspective of inclusive development[C]. Beijing: 2014 China Sustainable Development Forum, 2014.
[29] 庄天慧, 张海霞, 余崇媛. 西南少数民族贫困县反贫困综合绩效模糊评价——以10个国家扶贫重点县为例[J]. 西北人口, 2012, 33(3):89-93. ZHUANG T H, ZHANG H X, YU C Y. Southwest minority poverty counties antipoverty comprehensive performance evaluation: key counties for poverty relief to 10 countries as an example[J]. Northwest Population Journal, 2012, 33(3):89-93.
[30] 王艳慧, 钱乐毅, 陈烨烽, 等. 生态贫困视角下的贫困县多维贫困综合度量[J]. 应用生态学报, 2017(8):2677-2686. WANG Y H, QIAN L Y, CHEN H F, et al. Multidimensional and comprehensive poverty measurement of poverty-stricken counties from the perspective of ecological poverty[J]. Chinese Journal of Applied Ecology, 2017(8):2677-2686.
[31] 乐施会. 气候变化与精准扶贫[EB/OL].(2017-07-13).http://www.oxfam.org.cn/download.php?cid=141&id=202&p=cbkw.
[32] 王会, 姜雪梅, 陈建成, 等. “绿水青山”与“金山银山”关系的经济理论解析[J]. 中国农村经济, 2017(4):2-12. WANG H, JIANG X M, CHEN J C, et al. An economic theory analysis of the relationship between environment and money[J]. Chinese Rural Economy, 2017(4):2-12.
[33] 林德荣, 李智勇. 中国CDM造林再造林碳汇项目的政策选择[J]. 世界林业研究, 2006, 19(4):52-56. LIN D R, LI Z Y. Policy study of CDM forestry carbon-sink projects in China[J]. World Forestry Research, 2006, 19(4):52-56.
[34] 孟雪, 李宾. 多目标决策分析模型及应用研究[J]. 现代管理科学, 2013(7):42-44. MENG X, LI B. Multi objective decision analysis model and its application[J]. Modern Management Science, 2013(7):42-44.
[35] SAATY T L. How to make a decision: the analytic hierarchy process[J]. European Journal of Operational Research, 1994, 48(1):9-26.
[36] 李磊, 贾磊, 赵晓雪, 等. 层次分析-熵值定权法在城市水环境承载力评价中的应用[J]. 长江流域资源与环境, 2014, 23(4):456-460. LI L, JIA L, ZHAO X X. Application of the AHP and entropy weight method in evaluation on city water environmental carrying capacity[J]. Resources and Environment in the Yangtze Basin, 2014, 23(4):456-460.
[37] 詹敏, 廖志高, 徐玖平. 线性无量纲化方法比较研究[J]. 统计与信息论坛, 2016, 31(12):17-22. ZHAN M, LIAO Z G, XU J P. Character analysis of linear dimensionless methods[J]. Statistics and Information Forum, 2016, 31(12):17-22.
[38] 张驰, 杨帆, 曾维忠, 等. 基于供给方视阈的森林碳汇项目建设组织模式研究——以四川省“川西北”、“川西南”项目为例[J]. 中南林业科技大学学报, 2016, 36(5):138-142. ZHANG C, YANG F, ZENG W Z, et al. Organization pattern for construction of forest carbon sequestration projects based on visual threshold of suppliers: take “Northwest Sichuan” and “Southwest Sichuan” projects as examples[J]. Journal of Central South University of Forestry and Technology, 2016, 36(5):138-142.
PDF(1434734 KB)

Accesses

Citation

Detail
Sections
Recommended
The full text is translated into English by AI, aiming to facilitate reading and comprehension. The core content is subject to the explanation in Chinese.

Author

Reader

Reviewer

www.nldxb.njfu.edu.cn

Edited ＆ Published by Editorial Department of Nanjing Forestry University(Natural Sciences Edition)
Address： No.159 Longpan Road,Nanjing 210037 Jiangsu,P.R.China
E-mail ：xuebao@njfu.edu.cn , xuebao@njfu.com.cn
Telephone +86-25-85428247,85427076
Distributed by China International Book Trading Corporation P.O. Box 399, Beijing ,P.R. China

/

〈 〉