Studying the effects of intervention programmes on household energy saving behaviours using graphical causal models

  title={Studying the effects of intervention programmes on household energy saving behaviours using graphical causal models},
  author={Nitin Bhushan and Linda Steg and Casper Johannes Albers},
  journal={Energy Research \& Social Science},

Figures and Tables from this paper

Encouraging Individuals to Go Green by Gamification: An Empirical Study

To understand the mechanism of users’ continuous intention to use gamified information system for environmental protection, this research based on the theories of goal framing and gamification affordance to explain what factors influence user’ continuance to use intention and what roles the gamification design takes in the user interaction with the system.

Substitutes or complements? Exploring the impact of environmental regulations and informal institutions on the clean energy utilization behaviors of farmers

With rapid economic development and tremendous population growth, emerging economies are facing huge pressure to conserve energy and reduce emissions. Although governmental authorities have

Psychological Drivers of Hotel Guests’ Energy-Saving Behaviours—Empirical Research Based on the Extended Theory of Planned Behaviour

The hospitality industry is an important energy consumer and carbon emitter. Behaviour-driven energy conservation is a strategy with great promise to strengthen the energy efficiency of hotel

Applying an attitude network approach to consumer behaviour towards plastic



Experimentation and the evaluation of energy efficiency programs

The use of experiments— particularly randomized controlled trials (RCTs) where subjects are randomly assigned to treatment and control conditions—has rarely been applied to the process of improving the design of energy efficiency programs, and identifying the barriers to their use will cause more experimentation to occur.

Graphical Models for Quasi-experimental Designs

The increasing complexity of the causal graphs as one switches from an RCT to RD, IV, or PS designs reveals that the assumptions become stronger as the researcher’s control over treatment selection diminishes.

The effects of feedback on energy conservation: A meta-analysis.

A meta-analysis of 42 feedback studies published between 1976 and 2010 indicates that feedback is effective overall, but with significant variation in effects, and areas in which future research should focus to explore how and for whom feedback is most effective.

Behavior and Energy Policy

It is argued that a broader approach is merited, one that draws on insights from the behavioral sciences, to develop basic behavioral science into large-scale business and policy innovations.

Experimental and Quasi-Experimental Designs for Generalized Causal Inference

1. Experiments and Generalized Causal Inference 2. Statistical Conclusion Validity and Internal Validity 3. Construct Validity and External Validity 4. Quasi-Experimental Designs That Either Lack a

Some Problems with Randomized Controlled Trials and Some Viable Alternatives.

  • T. CareyW. Stiles
  • Political Science, Psychology
    Clinical psychology & psychotherapy
  • 2016
Some of the shortcomings of RCTs are reviewed and a number of other approaches are suggested to develop a more realistic and precise understanding of which treatment options would be most effective for particular clients with different problems and in different circumstances.

Reducing bias through directed acyclic graphs

Using the simple 6-step DAG approach to confounding and selection bias discussed is likely to reduce the degree of bias for the effect estimate in the chosen statistical model.