<scp>Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model</scp>

Bravo‐Ureta, Boris E.; González-Flores, Mario; Greene, William H.; Solís, Daniel

doi:10.1111/ajae.12112

Cited by 28 publications

(24 citation statements)

References 69 publications

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“…Further, as PwD agreed to use a technological device as part of the intervention, it may be that participating PwD were of greater health compared to a general sample of PwD. The self-selection bias is a known problem in research [ 63 ]. For example, Keiding & Louis (2016) argue that self-selection directly affects the validity of cross-sectional analyses and longitudinal trends [ 64 ].…”

Section: Discussionmentioning

confidence: 99%

Dementia care and the role of guideline adherence in primary care: cross-sectional findings from the DemTab study

et al. 2021

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Background General practitioners (GPs) play a key role in the care of people with dementia (PwD). However, the role of the German Dementia Guideline in primary care remains unclear. The main objective of the present study was to examine the role of guideline-based dementia care in general practices. Methods A cross-sectional analysis of data obtained from the DemTab study was conducted. Descriptive analyses of sociodemographic and clinical characteristics for GPs (N = 28) and PwD (N = 91) were conducted. Adherence to the German Dementia Guideline of GPs was measured at the level of PwD. Linear Mixed Models were used to analyze the associations between adherence to the German Dementia Guideline and GP factors at individual (age, years of experience as a GP, frequency of utilization of guideline, perceived usefulness of guideline) and structural (type of practice, total number of patients seen by a participating GP, and total number of PwD seen by a participating GP) levels as well as between adherence to the German Dementia Guideline and PwD’s quality of life. Results Self-reported overall adherence of GPs was on average 71% (SD = 19.4, range: 25–100). Adherence to specific recommendations varied widely (from 19.2 to 95.3%) and the majority of GPs (79.1%) reported the guideline as only partially or somewhat helpful. Further, we found lower adherence to be significantly associated with higher numbers of patients (γ10 = − 5.58, CI = − 10.97, − 0.19, p = .04). No association between adherence to the guideline and PwD’s quality of life was found (γ10 = −.86, CI = − 4.18, 2.47, p = .61). Conclusion The present study examined the role of adherence to the German Dementia Guideline recommendations in primary care. Overall, GPs reported high levels of adherence. However, major differences across guideline recommendations were found. Findings highlight the importance of guidelines for the provision of care. Dementia guidelines for GPs need to be better tailored and addressed. Further, structural changes such as more time for PwD may contribute to a sustainable change of dementia care in primary care. Trial registration The DemTab trial was prospectively registered with the ISRCTN registry (Trial registration number: ISRCTN15854413). Registered 01 April 2019.

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Section: Discussionmentioning

confidence: 99%

Dementia care and the role of guideline adherence in primary care: cross-sectional findings from the DemTab study

et al. 2021

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“…Finally, TE scores can be estimated following the standard SPF models. The full detailed model and its estimation steps are referred to (Bravo-Ureta et al, 2020;Bravo-Ureta et al, 2012;Greene, 2010).…”

Section: Jadee 112mentioning

confidence: 99%

Participation in farmers' organization and production efficiency: empirical evidence from smallholder farmers in Bangladesh

Bairagi¹,

Mottaleb

2021

JADEE

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PurposeFarmer organizations (FOs) can elevate many of the production- and marketing-related challenges by ensuring access to technology, farming information and loan for inputs and mechanization. This study assesses the major factors that affect the participation in FOs by the smallholder rice farmers in Bangladesh and evaluates the impacts of the participation on rice yield and production efficiency.Design/methodology/approachThe present study used primary data collected from 1,000 smallholder rice farmers in northwest Bangladesh, consisting of 250 farmers those participated in an organization. This study utilized a sample selection stochastic production frontier (SPF) method, a combination of the conventional SPF and the Heckman's sample selection model, to control for biases stemming from observed and unobserved attributes.FindingsThis study demonstrates that participation in an organization is significantly affected by smallholder rice farmers' education, occupation, family size, household income, land ownership and the location where they reside. At the same time, the participation status affects the productivity of smallholder farmers. Findings indicate that farmers who participated in an organization had higher rice yield (11% more) and were technically more efficient (1.4 percentage points higher) compared to farmers who did not participate.Research limitations/implicationsSince this study was carried out with representative sampled farmers from northwest Bangladesh, the findings may not represent all farmers' perceptions of FOs in the country.Originality/valueEven though more than 200,000 FOs are currently in operation, knowledge regarding the effectiveness of Bangladesh's FOs is limited. Notably, this study used a relatively new method, sample selection SPF model, to investigate the impact of FOs on the production efficiency of smallholder rice farmers in northwest Bangladesh. Therefore, this study contributes to the literature in elucidating the factors affecting participation in FOs and its impact on rice yield and efficiency. Since FOs have been somewhat ineffective in their role as service providers in Bangladesh, this study’s results will guide policymakers to intervene more successfully regarding the changes needed.

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“…The unmatched and matched results from SPF are in Tables 6 and 7, respectively. This study reported t-statistics instead of standard errors because t-statistics are determined by the coefficient of each variable and its corresponding standard error, following some previous studies [12,28,29]. The pooled results are calculated using Equation (2).…”

Section: Stochastic Production Frontier (Spf)mentioning

confidence: 99%

Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis

Chen

et al. 2020

Sustainability

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The impact of agricultural cooperatives on apple farmers’ technical efficiency (TE) in China was examined. The cooperatives were divided into two groups: a collective marketing group for farmers and an equivalent non-marketing group that did not provide a marketing service, although other functions remained the same. Using the propensity score matching (PSM) procedure and stochastic production frontier (SPF) modelling, cooperatives’ key functions that potentially increase farmers’ TE can be identified. The results indicate that membership of either group is positively related to yield. However, cooperatives that were not engaged in marketing achieved higher TE than non-members. This suggests that policy makers should encourage cooperatives to focus on activities that do not include direct marketing to increase TE in apple production in China.

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Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model

Cited by 28 publications

References 69 publications

Dementia care and the role of guideline adherence in primary care: cross-sectional findings from the DemTab study

Dementia care and the role of guideline adherence in primary care: cross-sectional findings from the DemTab study

Participation in farmers' organization and production efficiency: empirical evidence from smallholder farmers in Bangladesh

Effects of Agricultural Cooperative Society on Farmers’ Technical Efficiency: Evidence from Stochastic Frontier Analysis

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