La innovación se implementa en un entorno de objetivos de desarrollo productivo a través de un sistema que incluye incentivos, tecnología y redes público-privadas. El objetivo principal de este estudio es analizar la innovación en los agronegocios de El Oro y determinar cómo incide en la competitividad del sector agropecuario. La metodología utilizada en este estudio es descriptiva y documental, con carácter científico, además está enmarcada bajo el enfoque cuantitativo.
This research delves into the underlying impacts of farmers' innovative entrepreneurship on agricultural and rural economic development in China, adopting a dynamic and spatio-temporal perspective. The study utilizes panel data encompassing 30 provinces (cities and autonomous regions) from 2015 to 2020, with a systematic consideration of diversified spatial weight matrices.
Addressing 21st century development challenges requires investments in innovation, including the use of new approaches and technologies. Currently, many development organisations prioritise investments in isolated innovation pilots that leverage a specific approach or technology rather than pursuing a strategic approach to expand the organisation's toolbox with innovations that have proven their comparative advantage over what is currently used.
For most development organisations and funders, innovation remains a sprawling collection of activities, often energetic, but largely uncoordinated. To a dregree, this has also been the case for Iceland's development co-operation. Iceland, a comparatively small but energetic player in the international development co-operation system, provided the equivalent of 0.28% (roughly 67 million Euro) of it 2021 gross national income towards Official Development Assistance.
In the face of the climate emergency, around 140 countries, which emit close to 90% of the global greenhouse gas emissions, are planning to reduce their emissions to as close to zero as possible (known as net zero) in the upcoming decades. Around a third of these are low- and middle-income countries (LMICs), the countries most affected by climate change. So how can countries in the Global South achieve a socially-just transition? One key element is innovation, and potentially mission-oriented innovation.
This research note explains the results of social experiment designed with three primary objectives. These include (1) to mitigate the digital divide concerning the accessibility of forecasted weather information and crop advisories for women farmers in Bangladesh and (2) to assess the potential impact of a digital climate advisory tool on the agricultural practices of climate-smart agriculture facilitated by digital advisory tools for stakeholders in the value chain, such as microfinance institutions offering crop loans in areas facing higher weather-related risks.
The OECD Mission Action Lab critically examines the practice of missions and mission-oriented policies as well as their suitability to different problem contexts. Addressing complex challenges comes first, methods come second. The Lab is, thus, not promoting "missions" as the one and only instrument to address complex problems or societal transitions. Rather, we aim to understand when and how mission as an approach to public policies is useful and, sometimes more importantly, when it is not.
Despite the concept's widespread popularity, the terminology surrounding missions can come across as convoluted. This is understandable, given that the term - which denotes ambitious, time bound, cross-sectoral and measurable policy objectives to address grand societal challenges such as climate change mitigation, biosphere restoration or tackling health inequities - has proven to be both deceptively intricate and remarkably versatile.
The video (in Vietnamese language- English subtitles) tackles how to mainstream Gender and Social Inclusion (GSI in setting up a Climate-Smart Village (CSV). GSI should be integrated in the eight guide steps in establishing a CSV, such as: determining the purpose and scope of CSV; identifying the climate risk in the target area/s; locating the CSV in a small landscape; consulting the stakeholders; evaluating the CSA options; developing portfolio; scaling-up; and monitoring and evaluating uptake and outcome.
This study draws on social-psychology in an attempt to identify the various motivations for technology adoption (TA), including both economic and non-economic, and to gain insights into how and why Brazilian innovative beef farmers make decisions about whether or not to adopt particular technologies.