Assessing the Impact of Agricultural Technology Adoption on Farmers' Well-being Using Propensity-Score Matching Analysis in Rural China

2010 ◽  
Vol 24 (2) ◽  
pp. 141-160 ◽  
Author(s):  
Haitao Wu ◽  
Shijun Ding ◽  
Sushil Pandey ◽  
Dayun Tao
Keyword(s):  
Technology Adoption ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Rural China ◽  
Well Being ◽  
Agricultural Technology ◽  
Propensity Score Matching Analysis ◽  
The Impact

scholarly journals Adoption of improved agricultural technology and its impact on household income: a propensity score matching estimation in eastern Ethiopia

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Muluken G. Wordofa ◽  
Jemal Y. Hassen ◽  
Getachew S. Endris ◽  
Chanyalew S. Aweke ◽  
Dereje K. Moges ◽  
...  
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Technology Use ◽  
Household Income ◽  
Agricultural Technology ◽  
Primary Data ◽  
Farm Income ◽  
Agricultural Technologies ◽  
Eastern Ethiopia ◽  
The Impact

Abstract Background Adoption of improved agricultural technologies remains to be a promising strategy to achieve food security and poverty reduction in many developing countries. However, there are limited rigorous impact evaluations on the contributions of such technologies on household welfare. This paper investigates the impact of improved agricultural technology use on farm household income in eastern Ethiopia. Methods Primary data for the study was obtained from a random sample of 248 rural households, 119 of which are improved technology users and the rest are non-users. The research employed the Propensity Score Matching (PSM) procedure to establish the causal relationship between adoption of improved crop and livestock technologies and changes in farm income. Results Results from the econometric analysis show that households using improved agricultural technologies had, on average, 23,031.28 Birr (Birr is the official currency of Ethiopia. The exchange rate according to the National Bank of Ethiopia (NBE) was 1 USD = 27.6017 Birr on 04 October 2018.) higher annual farm income compared to those households not using such technologies. Our findings highlight the importance of promoting multiple and complementary agricultural technologies among rural smallholders. Conclusions We suggest that rural technology generation, dissemination and adoption interventions be strengthened. Moreover, the linkage among research, extension, universities and farmers needs to be enhanced through facilitating a multistakeholders innovation platforms.

Impact of chemotherapy on prognosis of resectable pathological T3N0M0 esophageal cancer patients: a population-based study

2021 ◽  
Author(s):  
Xiang Gu ◽  
Yizhi Ge ◽  
Jia Liu ◽  
Qian Ding ◽  
Junfeng Chu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Cancer ◽  
Propensity Score ◽  
Cell Carcinoma ◽  
Propensity Score Matching ◽  
Squamous Cell ◽  
Protective Factor ◽  
Histological Type ◽  
Propensity Score Matching Analysis ◽  
The Impact

Aims: This study aimed to retrospectively determine the influence factors and survival effects of chemotherapy in pathological T3N0M0 esophageal cancer (EC) patients based on histological type. Methods: A total of 1136 pathological T3N0M0 EC patients who had surgery were chosen from the Surveillance, Epidemiology and End Results database. The patients were divided into subgroups based on histological type and chemotherapy status. Multivariate logistic regression, log-rank test and Cox regression were used to identify prognostic risk factors and survival differences. A propensity score matching analysis was applied to adjust the covariates. The impact of additional chemotherapy was also assessed in patients who had postoperative radiotherapy. Results: The 5-year overall survival was 36.4% for all patients. Chemotherapy was an independent protective factor of survival in both adenocarcinoma and squamous cell carcinoma patients. In the survival analysis, chemotherapy significantly improved the prognosis of EC patients, both for adenocarcinoma and squamous cell carcinoma. Propensity score matching analysis validated these results. Conclusion: Chemotherapy is recommended for pathological T3N0M0 EC patients regardless of histological type.

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