A survey was carried out on producers or managers of bovine milk production systems of small scale located in the municipalities of Tayutic, Tuis, and La Suiza. The information was obtained through semi-structured interviews applied to 43 owners/administrators of dairy farms located in the area. The structural, management, productive, and demographic variables of the respondents were investigated to identify the systems. Three production systems were identified using two multivariate analysis techniques: i) Principal Component Analysis (PCA) and ii) Cluster Analysis (CA).

To protect the oceans' natural capital and promote sustainable economic growth, the world needs to move beyond a business-as-usual relationship with its marine resources. For increasing numbers of countries, the solution is the "Blue Economy" approach. It allocates ocean space across traditional sectors such as fisheries and new ones such as offshore wind farms, intending to protect resources and benefit current and future generations.

Achieving energy literacy is now considered both a necessary and sufficient condition to ensure strict adherence to energy conservation/efficiency programs. While the existing literature has considered the energy literacy level of different end-users, a gap exists in the literature on energy literacy levels of faith-based organisations and how they impact energy conservation in faith-based organisations.

Most of the empirical literature assessing the impacts of climate change on agriculture has modeled crop yields as a function of the levels or deviations in the growing-period rainfall. However, an aspect that has received little attention in the empirical literature relates to the relationship between the timing of monsoon rains and crop yields. Using a pan-India district-level panel dataset for 50 years, this article investigates two interrelated issues critical to understanding the impacts of weather-induced agricultural risks and their management.

Technological change in production processes with gendered division of labor across tasks, such as agriculture, can have a differential impact on women's and men's labor. Using exogenous variation in the extent of loamy soil, which is more amenable to deep tillage than clayey soil and therefore more likely to see adoption of tractor-driven equipment for primary tilling, we show that mechanization led to significantly greater decline in women's than men's labor on Indian farms during 1999–2011. Reduced demand for labor in weeding, a task often undertaken by women, explains our findings.