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Existing tariff schemes often fail to achieve basic economic objectives. They set prices per unit that either exceed or fall short the social marginal cost and produce unfair distributional outcomes. In many cases, electricity rates also contribute to unsustainable fiscal deficits due to the (almost) generalized electricity subsidies. Moreover, inefficient residential tariffs do not favor the adoption of green technologies and the investment in energy efficiency improvements. We argue that the efficient deployment of green technologies, and more generally, the clean energy transition, will require electricity tariff reforms. In this paper, we use household level data and hourly industry data from Mexico to show how more efficient pricing mechanisms (such as a two-part tariff scheme in the context of efficient nodal pricing), combined with well-design environmental regulations (e.g., net-metering schemes) and correctly targeted transfer programs (e.g., means testing mechanisms) can improve economic, social, and environmental outcomes significantly, all at once. [ABSTRACT FROM AUTHOR]

Several nations, including Mexico, are encountering problems with accomplishing the targets of sustainable development goals (SDGs). This study addresses how to develop SDG agenda for Mexico, which may also be applied to other emerging markets with comparable profiles. Therefore, this study utilizes a newly developed load capacity factor (LCF, a detailed environmental evaluation tool) that combines biocapacity (supply side) and ecological foot (demand side) to examine the effect of renewable energy consumption and trade openness on LCF while controlling for nonrenewable energy consumption and economic growth in the case of Mexico during 1970–2017. Using the dual adjustment approach, we find evidence of long-run cointegration nexus among the series. In addition, trade openness affects LCF positively, whereas renewable energy consumption, economic growth, and nonrenewable energy consumption impact LCF negatively. Furthermore, results of the frequency domain causality show that all the variables can predict LCF in the long-term. Based on these results, Mexico should focus on promoting public understanding of green energy and environmental preservation measures and participate in the production of nonenergy-consuming and ecologically friendly products while compelling polluting enterprises to migrate to countries with less stringent environmental restrictions. [ABSTRACT FROM AUTHOR]