评估农业生产效率对非洲咖啡生产国可持续发展目标的影响

IF 9.9 1区环境科学与生态学 Q1 DEVELOPMENT STUDIES

Sustainable Development Pub Date : 2023-12-14 DOI:10.1002/sd.2852

Chih‐Yu Yang, Chung‐Ching Wang, Ching‐Cheng Lu, Yung‐ho Chiu, Shih‐Yung Chiu

{"title":"评估农业生产效率对非洲咖啡生产国可持续发展目标的影响","authors":"Chih‐Yu Yang, Chung‐Ching Wang, Ching‐Cheng Lu, Yung‐ho Chiu, Shih‐Yung Chiu","doi":"10.1002/sd.2852","DOIUrl":null,"url":null,"abstract":"Climate change has directly impacted coffee‐producing regions in Africa. This study uses the two stage Dynamic Network Directional Distance Function (DN‐DDF) and Malmquist Productivity Index (MPI) methods to evaluate the efficiency and productivity changes of agricultural production and sustainable development in 19 African coffee‐producing countries from 2014 to 2018. According to the empirical results, Central African Republic, Ethiopia, Liberia, Uganda, and Zambia have the highest overall efficiency. This study has three main contributions: (1) using a two‐stage model to evaluate the impact of agricultural production efficiency on sustainable development efficiency, (2) using a dynamic model with forest area as a cross‐period variable to reflect the real‐world phenomenon of coffee relying on forest mixed planting, and (3) objectively evaluating the impact of extreme weather on agricultural production by using rainfall as an exogenous variable to address previous research shortcomings. The results of this study can promote the improvement of agricultural production efficiency in African coffee‐producing countries and provide important reference value for sustainable development goals.","PeriodicalId":48174,"journal":{"name":"Sustainable Development","volume":"362 3","pages":""},"PeriodicalIF":9.9000,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the impact of agricultural production efficiency on sustainable development goals in coffee‐producing countries in Africa\",\"authors\":\"Chih‐Yu Yang, Chung‐Ching Wang, Ching‐Cheng Lu, Yung‐ho Chiu, Shih‐Yung Chiu\",\"doi\":\"10.1002/sd.2852\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate change has directly impacted coffee‐producing regions in Africa. This study uses the two stage Dynamic Network Directional Distance Function (DN‐DDF) and Malmquist Productivity Index (MPI) methods to evaluate the efficiency and productivity changes of agricultural production and sustainable development in 19 African coffee‐producing countries from 2014 to 2018. According to the empirical results, Central African Republic, Ethiopia, Liberia, Uganda, and Zambia have the highest overall efficiency. This study has three main contributions: (1) using a two‐stage model to evaluate the impact of agricultural production efficiency on sustainable development efficiency, (2) using a dynamic model with forest area as a cross‐period variable to reflect the real‐world phenomenon of coffee relying on forest mixed planting, and (3) objectively evaluating the impact of extreme weather on agricultural production by using rainfall as an exogenous variable to address previous research shortcomings. The results of this study can promote the improvement of agricultural production efficiency in African coffee‐producing countries and provide important reference value for sustainable development goals.\",\"PeriodicalId\":48174,\"journal\":{\"name\":\"Sustainable Development\",\"volume\":\"362 3\",\"pages\":\"\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2023-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Development\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1002/sd.2852\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DEVELOPMENT STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Development","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1002/sd.2852","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}

引用次数: 0

摘要

气候变化直接影响了非洲的咖啡产区。本研究采用两阶段动态网络定向距离函数（Dynamic Network Directional Distance Function，DN-DDF）和马尔奎斯特生产力指数（Malmquist Productivity Index，MPI）方法，对非洲19个咖啡生产国2014年至2018年的农业生产效率和生产力变化及可持续发展情况进行了评估。根据实证结果，中非共和国、埃塞俄比亚、利比里亚、乌干达和赞比亚的总体效率最高。本研究的主要贡献有三：（1）采用两阶段模型评价农业生产效率对可持续发展效率的影响；（2）采用以森林面积为跨期变量的动态模型反映现实世界中咖啡依托森林混种的现象；（3）针对以往研究的不足，以降雨量为外生变量客观评价极端天气对农业生产的影响。该研究成果可促进非洲咖啡生产国农业生产效率的提高，为实现可持续发展目标提供重要参考价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Evaluating the impact of agricultural production efficiency on sustainable development goals in coffee‐producing countries in Africa

Climate change has directly impacted coffee‐producing regions in Africa. This study uses the two stage Dynamic Network Directional Distance Function (DN‐DDF) and Malmquist Productivity Index (MPI) methods to evaluate the efficiency and productivity changes of agricultural production and sustainable development in 19 African coffee‐producing countries from 2014 to 2018. According to the empirical results, Central African Republic, Ethiopia, Liberia, Uganda, and Zambia have the highest overall efficiency. This study has three main contributions: (1) using a two‐stage model to evaluate the impact of agricultural production efficiency on sustainable development efficiency, (2) using a dynamic model with forest area as a cross‐period variable to reflect the real‐world phenomenon of coffee relying on forest mixed planting, and (3) objectively evaluating the impact of extreme weather on agricultural production by using rainfall as an exogenous variable to address previous research shortcomings. The results of this study can promote the improvement of agricultural production efficiency in African coffee‐producing countries and provide important reference value for sustainable development goals.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Sustainable Development Multiple-

CiteScore

17.30

自引率

11.20%

发文量

168

期刊介绍： Sustainable Development is a publication that takes an interdisciplinary approach to explore and propose strategies for achieving sustainable development. Our aim is to discuss and address the challenges associated with sustainable development and the Sustainable Development Goals. All submissions are subjected to a thorough review process to ensure that our readers receive valuable and original content of the highest caliber.