Determinantes del uso de efectivo en México: análisis a través de la ENIF 2018

Juan Pablo Gómez Ayala (2021, [Tesis de maestría])

En este trabajo se analiza el impacto que tienen la economía formal como la educación y disciplina financiera en el uso de efectivo como medio de pago en México. Se estima que como mínimo, una persona que mejore su educación financiera (acerté una pregunta adicional) reducirá en 1.5% su probabilidad de comprar algún bien con efectivo; en cambio si mejora su disciplina financiera (practicar hábitos saludables más frecuentemente), aumentará la probabilidad de que pague servicios con efectivo en 2%.

Cash and carry transactions -- Payment -- Effect of financial literacy on -- Mexico -- 2018 -- Econometric models. Cash and carry transactions -- Payment -- Effect of informal sector (Economics) on -- Mexico -- 2018 -- Econometric models. CIENCIAS SOCIALES CIENCIAS SOCIALES

Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy

Martin van Ittersum (2023, [Artículo])

Context: Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving resource-use efficiency. Objective: The aim of this study was to assess the performance of statistical and machine learning methods to explain and predict crop yield across thousands of farmers’ fields in contrasting farming systems worldwide. Methods: A large database of 10,940 field-year combinations from three countries in different stages of agricultural intensification was analyzed. Random effects models were used to partition crop yield variability and random forest models were used to explain and predict crop yield within a cross-validation scheme with data re-sampling over space and time. Results: Yield variability in relative terms was smallest for wheat and barley in the Netherlands and for wheat in Ethiopia, intermediate for rice in the Philippines, and greatest for maize in Ethiopia. Random forest models comprising a total of 87 variables explained a maximum of 65 % of cereal yield variability in the Netherlands and less than 45 % of cereal yield variability in Ethiopia and in the Philippines. Crop management related variables were important to explain and predict cereal yields in Ethiopia, while predictive (i.e., known before the growing season) climatic variables and explanatory (i.e., known during or after the growing season) climatic variables were most important to explain and predict cereal yield variability in the Philippines and in the Netherlands, respectively. Finally, model cross-validation for regions or years not seen during model training reduced the R2 considerably for most crop x country combinations, while for wheat in the Netherlands this was model dependent. Conclusion: Big data from farmers’ fields is useful to explain on-farm yield variability to some extent, but not to predict it across time and space. Significance: The results call for moderate expectations towards big data and machine learning in agronomic studies, particularly for smallholder farms in the tropics where model performance was poorest independently of the variables considered and the cross-validation scheme used.

Model Accuracy Model Precision Linear Mixed Models CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MACHINE LEARNING SUSTAINABLE INTENSIFICATION BIG DATA YIELDS MODELS AGRONOMY

Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding

Osval Antonio Montesinos-Lopez ABELARDO MONTESINOS LOPEZ RICARDO ACOSTA DIAZ Rajeev Varshney Jose Crossa ALISON BENTLEY (2022, [Artículo])

Genomic selection (GS) is a predictive methodology that trains statistical machine-learning models with a reference population that is used to perform genome-enabled predictions of new lines. In plant breeding, it has the potential to increase the speed and reduce the cost of selection. However, to optimize resources, sparse testing methods have been proposed. A common approach is to guarantee a proportion of nonoverlapping and overlapping lines allocated randomly in locations, that is, lines appearing in some locations but not in all. In this study we propose using incomplete block designs (IBD), principally, for the allocation of lines to locations in such a way that not all lines are observed in all locations. We compare this allocation with a random allocation of lines to locations guaranteeing that the lines are allocated to

the same number of locations as under the IBD design. We implemented this benchmarking on several crop data sets under the Bayesian genomic best linear unbiased predictor (GBLUP) model, finding that allocation under the principle of IBD outperformed random allocation by between 1.4% and 26.5% across locations, traits, and data sets in terms of mean square error. Although a wide range of performance improvements were observed, our results provide evidence that using IBD for the allocation of lines to locations can help improve predictive performance compared with random allocation. This has the potential to be applied to large-scale plant breeding programs.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA Bayes Theorem Genome Inflammatory Bowel Diseases Models, Genetic Plant Breeding

Appraisal of complementarity of subsurface drip fertigation and conservation agriculture for physiological performance and water economy of maize

C.M. Parihar Hari Sankar Nayak Dipaka Ranjan Sena Renu Pandey Mahesh Gathala ML JAT (2023, [Artículo])

The Indo-Gangetic Plains (IGP) in north-west (NW) India are facing a severe decline in ground water due to prevalent rice-based cropping systems. To combat this issue, conservation agriculture (CA) with an alternative crop/s, such as maize, is being promoted. Recently, surface drip fertigation has also been evaluated as a viable option to address low-nutrient use efficiency and water scarcity problems for cereals. While the individual benefits of CA and sub-surface drip (SSD) irrigation on water economy are well-established, information regarding their combined effect in cereal-based systems is lacking. Therefore, we conducted a two-year field experiment in maize, under an ongoing CA-based maize-wheat system, to evaluate the complementarity of CA with SSD irrigation through two technological interventions–– CA+ (residue retained CA + SSD), PCA+ (partial CA without residue + SSD) – at different N rates (0, 120 and 150 kg N ha-1) in comparison to traditional furrow irrigated (FI) CA and conventional tillage (CT) at 120 kg N ha-1. Our results showed that CA+ had the highest grain yield (8.2 t ha-1), followed by PCA+ (8.1 t ha-1). The grain yield under CA+ at 150 kg N ha-1 was 27% and 30% higher than CA and CT, respectively. Even at the same N level (120 kg N ha-1), CA+ outperformed CA and CT by 16% and 18%, respectively. The physiological performance of maize also revealed that CA+ based plots with 120 kg N ha-1 had 12% and 3% higher photosynthesis rate at knee-high and silking, respectively compared to FI-CA and CT. Overall, compared to the FI-CA and CT, SSD-based CA+ and PCA+ saved 54% irrigation water and increased water productivity (WP) by more than twice. Similarly, a greater number of split N application through fertigation in PCA+ and CA+ increased agronomic nitrogen use efficiency (NUE) and recover efficiency by 8–19% and 14–25%, respectively. Net returns from PCA+ and CA+ at 150 kg N ha-1 were significantly higher by US$ 491 and 456, respectively than the FI-CA and CT treatments. Therefore, CA coupled with SSD provided tangible benefits in terms of yield, irrigation water saving, WP, NUE and profitability. Efforts should be directed towards increasing farmers’ awareness of the benefits of such promising technology for the cultivating food grains and commercial crops such as maize. Concurrently, government support and strict policies are required to enhance the system adaptability.

Net Returns Subsurface Drip Irrigation Subsurface Drip Fertigation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA EFFICIENCY GRAIN NITROGEN PHOTOSYNTHESIS PHYSIOLOGY WATER SUPPLY CONSERVATION AGRICULTURE CONVENTIONAL TILLAGE FERTIGATION GROUNDWATER NITROGEN-USE EFFICIENCY WATER PRODUCTIVITY

Agroecology can promote climate change adaptation outcomes without compromising yield in smallholder systems

Sieglinde Snapp Yodit Kebede Eva Wollenberg (2023, [Artículo])

A critical question is whether agroecology can promote climate change mitigation and adaptation outcomes without compromising food security. We assessed the outcomes of smallholder agricultural systems and practices in low- and middle-income countries (LMICs) against 35 mitigation, adaptation, and yield indicators by reviewing 50 articles with 77 cases of agroecological treatments relative to a baseline of conventional practices. Crop yields were higher for 63% of cases reporting yields. Crop diversity, income diversity, net income, reduced income variability, nutrient regulation, and reduced pest infestation, indicators of adaptative capacity, were associated with 70% or more of cases. Limited information on climate change mitigation, such as greenhouse gas emissions and carbon sequestration impacts, was available. Overall, the evidence indicates that use of organic nutrient sources, diversifying systems with legumes and integrated pest management lead to climate change adaptation in multiple contexts. Landscape mosaics, biological control (e.g., enhancement of beneficial organisms) and field sanitation measures do not yet have sufficient evidence based on this review. Widespread adoption of agroecological practices and system transformations shows promise to contribute to climate change services and food security in LMICs. Gaps in adaptation and mitigation strategies and areas for policy and research interventions are finally discussed.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CROPS FOOD SUPPLY GAS EMISSIONS GREENHOUSE GASES FARMING SYSTEMS AGROECOLOGY FOOD SECURITY LESS FAVOURED AREAS SMALLHOLDERS YIELDS NUTRIENTS BIOLOGICAL PEST CONTROL CARBON SEQUESTRATION LEGUMES

Normalización, certificación y evaluación de competencias laborales en el sector agua

ANTONIO ROMERO CASTRO Armando Mendiola (2011, [Documento de trabajo])

Dentro de los objetivos del proyecto están lograr la acreditación como entidad de certificación y evaluación; diseñar y elaborar proyectos de estándar de competencia y sus instrumentos de evaluación, relacionados con funciones del sector hídrico; preparar los documentos y la logística necesaria para realizar sesiones que el Comité de Gestión de Competencias del sector hídrico considere pertinentes; y difundir en el IMTA los trabajos de diseño y elaboración de estándares de competencia laboral para la capacitación, evaluación y certificación de personal del sector hídrico con dichos estándares.

Competencias laborales Certificación Evaluación Informes de proyectos HUMANIDADES Y CIENCIAS DE LA CONDUCTA

Gobernanza de múltiple escala para la gestión local del agua de consumo humano en América Latina: estudios de caso en Costa Rica, Honduras y México

Multilevel governance for local management of drinking water in Latin America: case studies from Costa Rica, Honduras and Mexico

FERNANDO GUMETA GOMEZ ELVIRA DURAN MEDINA David Brayden (2017, [Artículo])

El abastecimiento del agua para consumo humano a escala local puede depender de la participación social. Se compararon tres regímenes de gobernanza para gestión del agua basado en acción colectiva y en entidades anidadas: 1) Asociaciones Administradoras de Sistemas de Acueductos y Alcantarillados Sanitario (ASADAS) en Costa Rica, 2) Juntas Ad-ministradoras del Agua (JAA) en Honduras y 3) Comités de Agua (CA) en Oaxaca, México. Se analizaron el marco legal, la estructura y operatividad y la eficiencia en la provisión y conservación de los recursos hídricos mediante revisión documental, observación partici-pativa y entrevistas informales.ASADAS y JAA son reconocidas legalmente, mientras que los CA no tienen soporte en el marco legal mexicano. Los regímenes mostraron estructuras y operatividad análoga, así como tendencias similares hacia eficiencia en la provisión del agua y en asegurar la recarga hídrica, pero capacidades económicas diferentes. Reconocer y empoderar los CA en México podría aumentar y garantizar el abastecimiento de agua a el largo plazo

Adequate supply of drinking water at local level depends, in many cases on community participation. We compare three governance regimes for drinking water management based on multilevel collective action: 1) ASADAS in Costa Rica, 2) Water Boards (JAA, for its acronym in spanish) in Honduras and 3) Water User Committees (CA, for its acronym in spanish) in Mexico. Our data is based on participant observation, and formal and informal interviews. Legal framework, structure and operation, and efficiency for provision and conservation of water resources are analyzed. ASADAS and Water Boards are legal entities with recog-nized community participation and collective action, while Water Committees have no legal support by the Mexican Government. Regimens showed similar structures and operation, but different economic capabilities and efficiencies in the provision of water and in ensur-ing water recharge. Recognition and empowerment of the Water Committees in Mexico could increase and ensure water provision in the long- term

HUMANIDADES Y CIENCIAS DE LA CONDUCTA Abasto de agua Gobernanza local Comités de agua Oaxaca Sustentabilidad de agua Water supply Local governance Water committees Oaxaca Sustainability of water

Population and food in the early twenty-first century: meeting future food demand of an increasing population

Nurul Islam (1995, [Libro])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FOOD POLICIES FOOD PRODUCTION FOOD SUPPLY FORECASTING

Los médicos costarricenses formados en México durante el cardenismo: retorno e inserción laboral (1934-1961)

Costa Rican doctors trained in Mexico during the Cardenismo: return and labor insertion (1934-1961)

Marco Calderón-Blanco (2021, [Artículo])

El presente trabajo analiza el retorno de los estudiantes costarricenses que viajaron a México durante el cardenismo para cursar la carrera de medicina, con el fin de determinar su inserción laboral en el sistema de salud costarricense entre las décadas de 1940 y 1960. Se exploran las circunstancias que giraron alrededor del retorno y la inserción laboral de dichos profesionales. Al respecto, se evidencia que la integración a la fuerza de trabajo en el Hospital San Juan de Dios permitió un rápido ascenso en el escalafón médico. Esta dinámica posibilitó que un número considerable de los médicos tratados en el presente estudio ocupara puestos de poder en instituciones de salud costarricenses, situación que llevó a que se integraran al proceso de creación de la Escuela de Medicina de la Universidad de Costa Rica, la cual entró en funciones en el año de 1961.

The present work analyzes the return of Costa Rican students who traveled to Mexico during the cardenismo period to study medicine, in order to determine their labor insertion in the Costa Rican health system between the 1940s and 1960s. The circumstances surrounding the return and work insertion of these professionals are explored. In this regard, it is evident that the integration to the workforce of the San Juan de Dios Hospital allowed a rapid ascent in the medical ladder. This dynamic made it possible for a considerable number of the doctors treated in this study to hold positions of power in Costa Rican health institutions, a situation that led to their integration into the process of creating the University of Costa Rica’s School of Medicine, which became operational in 1961.

HUMANIDADES Y CIENCIAS DE LA CONDUCTA Medicina social Médicos costarricenses Cardenismo Retorno Inserción laboral Social medicine Costa Rican doctors Lázaro Cardenas government Return Labor insertion

Modelo híbrido de sistemas energéticos para la evaluación del uso de energías renovables

Carlos Iván Torres González (2020, [Tesis de maestría])

En este trabajo proponemos un modelo híbrido para evaluar diferentes escenarios de generación de electricidad con energías renovables que maximiza el bienestar social desde la perspectiva económica contemplando un enfoque técnico sobre la estructura de costos de producción de electricidad. Adicionalmente, realizamos 2 simulaciones del modelo propuesto al sistema eléctrico de Baja California Sur para 10 períodos, contemplando 4 escenarios de producción limpia diferentes. De los resultados observados en ambas simulaciones podemos remarcar 2 puntos en términos de políticas públicas. El primer punto es la importancia de tener múltiples generadores que funcionen con combustibles renovables si se desea producir una proporción significativa de electricidad con FER. El segundo punto es el trade-off entre bienestar y emisiones de CO2. Los resultados sugieren que el aumento del consumo de electricidad es un elemento importante para aumentar el bienestar social. A su vez, el aumento de consumo eléctrico implica un aumento de producción, y por tanto un aumento de emisiones de CO2. Los resultados de la segunda simulación sugieren que con el aumento de la capacidad de generación limpia y costos eficientes, se pueden alcanzar niveles de bienestar casi iguales a los tradicionales, pero con la mitad de emisiones de CO2.

Electric power production -- Effect of renewable energy sources on -- Mexico -- Baja California Sur (State) -- 2015 -- Mathematical models. Carbon dioxide mitigation -- Effect of renewable energy sources on -- Mexico -- Baja California Sur (State) -- 2015 -- Mathematical models. CIENCIAS SOCIALES CIENCIAS SOCIALES