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Renato Villano

Researcher at University of New England (Australia)

Publications -  126
Citations -  2302

Renato Villano is an academic researcher from University of New England (Australia). The author has contributed to research in topics: Productivity & Agriculture. The author has an hindex of 20, co-authored 119 publications receiving 1742 citations. Previous affiliations of Renato Villano include University of New England (United States) & International Rice Research Institute.

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Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines

TL;DR: In this paper, the authors employ binary logit and Poisson estimators to model socioeconomic, institutional and environmental factors influencing the adoption of certified seeds, in particular, and integrated crop management practices, in general, in rice production in the Philippines.
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The relative economic efficiency of urban water utilities in regional New South Wales and Victoria

TL;DR: In this paper, the relative technical efficiency of urban water utilities in regional New South Wales (NSW) and Victoria is investigated using data envelopment analysis (DEA) to measure the efficiency consequences of a number of recent urban water policy initiatives.
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Effect of Financial Inclusion on Poverty and Vulnerability to Poverty: Evidence Using a Multidimensional Measure of Financial Inclusion

TL;DR: In this article, the effect of financial inclusion on poverty and vulnerability to poverty of Ghanaian households was examined using data extracted from the seventh round of the Ghana Living Standards Survey in 2016/17, a multiple correspondence analysis is employed to generate a financial inclusion index, and three-stage feasible least squares is used to estimate households' vulnerabilities to poverty.
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Technical Inefficiency and Production Risk in Rice Farming: Evidence from Central Luzon Philippines

TL;DR: In this article, the authors analyzed technical inefficiency in a rainfed lowland rice environment in Central Luzon using a stochastic frontier production function with a heteroskedastic error structure.
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Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps

TL;DR: In this paper, the authors measured the impact of modern rice technologies on farm productivity while disentangling technology gaps (the distance between production frontiers) from managerial gaps (differences in technical efficiency) using cross-sectional farm-level data from 3,164 rice-farming households in the Philippines.