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Although the importance of climate change is generally acknowledged, its impacts are often not taken into account explicitly when planning development projects. This being due to limited resources, among others, this paper aims to propose a simple and low-cost approach to assess the viability of human activities under climate change.

Many human activities are feasible only within a narrow range of climatic conditions. Comparing such “climate corridors” with future climate projections provides an intuitive yet quantitative means for assessing needs for, and the viability of, adaptation activities under climate change.

The approach was tested within development projects in Pakistan, Peru and Tajikistan. The approach was shown to work well for forestry and agriculture, indicating positive/negative prospects for wheat in two districts in Pakistan, temperature constraints for maize in Peru and widening elevation ranges for walnut trees in Tajikistan.

Climate corridor analyses feed into the preparation of Local Adaptation Plans of Action in Pakistan.

The simplicity and robustness of climate corridor analysis allow for efficient analysis and communication of climate change impacts. It works when data availability is limited, but it can as well accommodate a wide range of complexities. It has proven to be an effective vehicle for mainstreaming climate change into adaptation planning.

Despite much progress in the field of family business research, there is still no unequivocal quantitative evidence on how many family businesses are generally transferred within the family and how many are sold to nonfamily members. Accordingly, the purpose of our paper is to overcome this data problem and to try to get a better estimate of these rates.

To determine a better estimate of intrafamily successions in Germany, we conducted a meta-analysis of 33 samples from 27 studies covering 75,522 firms facing or having already faced a business transfer.

Our results indicate that 62% of these family firms are (planned to be) transferred to family members. This type of industry strongly determines the mode of succession. However, methodological issues like study quality and sample design also influence estimated succession rates.

Policymakers need robust statistics so they can base their actions and economic policies on reliable information. However, in the absence of official statistics – as in the case of family firms handing over their company within or outside the family – information is difficult to generate. Our findings provide a generalizable estimate of prevalence rates, providing German policymakers, and those in other countries when applying these methods, with useful information.

This paper suggests that a theory of family firm succession needs to consider more deeply the context in which succession decisions occur. By exploring variables affecting succession rates such as firm size and industry but also methodological issues like sample design and study quality, our analysis also provides a better understanding of central determinants of successions within and outside the family.