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The demand for energy is increasing in the world as the world's population expands, and technology keeps surging.This requires significant investment in the energy sector to keep pace with the increasing demand.In this chapter, we document the different forms of energy projects such as power generation and renewable energy infrastructure and how to raise funds to finance them.Some of the funding sources discussed include debt finance, equity finance, private capital, blended finance, and public private partnership finance.We also discuss the role of ESG in financing energy projects and why energy firms need to incorporate ESG practices when dealing with energy projects.In terms of ESG, we conclude that international financial institutions such as multilateral institutions and development finance institutions must critically assess energy projects’ ESGs certifications before funding them.We recommend that energy projects must have an ESG buy-in from indigenes before they are cleared to be financed.Finally, both the public and private sector must collaborate to finance energy projects since they are highly capital intensive.

I samband med att EU antog en ny klimatlag 2021 höjdes målet att minska växthusgasutsläppen från 40 procent till minst 55 procent senast 2030. Lagen omvandlar tidigare politiska åtaganden om att EU ska uppnå klimatneutralitet senast 2050 till en bindande skyldighet. I juli 2021 lade EU-kommissionen fram sitt förslag om ett uppdaterat ramverk Fit for 55, för att nå målet som slås fast i klimatlagen. Klimatpolitiken får effekter på Sveriges näringslivsstruktur. Strukturomvandling innebär att resurser flyttar från en del av ekonomin till en annan. Hur väl ekonomin kan anpassa sig till sådana förändringar är viktigt för hur tillväxten påverkas. Förmågan att ställa om kan också ge fördelar på den globala marknaden när det gäller att exportera hållbara varor och tjänster som efterfrågas globalt. Förändringarna kan vara både tillfälliga och permanenta. De kan också påverka olika delar av ekonomin olika. Den här rapporten belyser hur klimatpolitiken kan komma att påverka den svenska industrin, och innehåller en litteraturgenomgång, en empiriskanalys på mer aktuella data samt en konceptuell analys med ett räkneexempel.

This study highlights the significant economic consequences of power outages for Sweden’s electricity-intensive industries and underscores the shortcomings of traditional metrics, such as value-added-based methods, in reliably estimating these costs. The study is part of Tillväxtanalys’s project "Economic Effects ofElectricity-Intensive Industries" (ELIN), which aims to explore if and how the government can act to shift the economy toward a greater or lesser reliance onelectricity-intensive activities. 

To support the fulfillment of Sweden's targets in term of climate change and economic growth, we need to do a distinct study to show the Environmental Kuznets Curve (EKC) pattern in different sector of the economy, as the GDP allocation, energy intensities, GHG emission, and technological development are different between sectors. This kind of study helps to figure out how the different sectors contribute to climate change and could appoint more particular and effective environment-energy policies. For this aim, we analyzed the existence of the EKC by implementing the ARDL Bound test approach in the whole and individual sectors of Sweden's economy throughout 1990-2019. Our results indicated the contribution of a particular sector on total GHG emissions per capita. Results of the whole economy confirmed the EEKC hypothesis with a turning point in 1996, in which the AFF sector, unlike industry and service, had increased GHG emissions. Disaggregated sectoral analysis showed various results. The industry sector had efficient energy improvement. Policymakers should pay attention to AFF's GHG emissions, as different sources of energy consumption had not impressive impact in both the short and long term. Also, effective fossil-related policies are necessary for the service sector due to the main contribution to transportation.

In this paper, we explore whether there is a potential for shifting load between different times of the days, i.e., between peak and off-peak hours. In particular, we explore whether the fact that electricity is a necessity to modern life puts restrictions on the possibilities for load shifting. To do that we provide a structural framework for peak and off-peak electricity demand, where households are assumed to have Stone-Geary utility functions with subsistence levels for electricity demand that varies within the day, and that depends on household characteristics and temperature. As an empirical illustration, we fit our model to Swedish data on residential electricity usage at the sub-daily level. Our results indicate that the potential to shift load from peak to off peak is limited. One reason for this is that the subsistence levels are larger during peak than off-peak, implying that households assign a high value on electricity during peak time, relative to off-peak time. Overall, the results have important policy implications, not the least with respect to effects of real time pricing, as it suggests that there are limits to households' price responsiveness.

The main purpose of this paper is to estimate lost consumer values due to various restrictions on household electricity use involving behavior adaptation. To do this, we conduct a choice experiment where households choose between hypothetical electricity contracts including various restrictions on the use of high-power household appliances. In addition, we use a contingent valuation question related to complete blackouts to study a restriction on other types of electricity usage (heating, lighting, TV, etc.). The results indicate a significant difference between the value lost due to the soft control, and the blackouts. Furthermore, policies aiming at stimulating behavioral changes are costly and it is far from obvious that demand response requiring behavioral adaptation is more cost effective than supply response (i.e., increased production of electricity).

A nationwide recreational fishing survey in Sweden was used to estimate the benefits of recreational fishing in Sweden. The survey targeted the Swedish population and, consequently, the sample contained a large fraction of zero fishing days. To consider this, a zero-inflated Poisson model was used in the estimations. Swedes fished about 15.6 million days in 2013, of which two thirds were spent on inland fishing, and one third on marine and coastal fishing. Expected consumer surplus per fishing day varied with the season; SEK 193 for winter fishing, SEK 787 for summer fishing and SEK 95 for autumn fishing. Although about 70 per cent of total fishing days were spent on inland fishing, the weighted consumer surplus per fishing day in marine and coastalareas were higher. The results also demonstrated strong positive effects of increases in expected catch per day on number of fishing days demanded and consumer surplus, which have important implications for fishery policies directed at recreational fishing.

Temporary no-take zones (NTZs) are increasingly introduced in Sweden as a fisheries management tool to restore populations of specific target species. This paper presents a cost-benefit analysis of two real case temporary NTZs closed during a 5–6 year period in the coastal zone of the Baltic Sea, using scenario analysis to account for uncertainty in both the biological and economic effects. A sensitivity analysis was added for certain key parameters. The results of the cost-benefit analyses for the two NTZs are positive in all scenarios relating to the most realistic case of no opportunity costs, i.e., assuming that all fishing activity could be relocated to adjacent areas without cost during the closed period. As an extreme case comparison, full opportunity costs were included, assuming that no fishing activity could be relocated to other areas during the closed period. One of the NTZs then exhibited a negative net result for most scenarios. For the other area the net result was positive even when the maximum opportunity costs of temporary lost fishing opportunities were included, largely depending on the strong positive change in the value of commercial fishing. By demonstrating potential costs and benefits of using temporary no-take zones in fisheries management this study may contribute to policy making, as well as to creating acceptance from stakeholder groups that incur short-term costs from closing areas to fishing.

Analyzing and understanding the driving factors behind CO₂ emissions is noticeable due to increasing the awareness about CO₂ emissions, and it is a highlight in Iran's agriculture sector because of the increasing amount of CO₂ emissions, inefficient government policies, and rising fossil energy consumption in last decade. By considering the regional differences to investigate this aim, the Theil index and Kaya factor used to analysis the provincial inequality in CO₂ emissions, energy consumption, and identify the driving factor. Using the Theil approach helps us to find out the inequality trend in CO₂ emissions and energy consumption and also inequality across different provinces. In that way, the Kaya identity applied to analyze the factor behind the inequality in CO₂ emissions. The empirical result shows some points, primary, according to the criteria and weights in the grouping methodologies, the GDP, due to the lower level of contribution in within-group inequality, is better than the population. Further, by assessing the inequality in the consumption of different forms of energy and CO₂ emissions across the provinces, most of the inequality was related to within-group, and the Theil trends are decreasing in gas and electricity; this trend is unclear and fluctuated in petroleum products and increase in CO₂ emissions. Secondly, the first and second phases of subsidizing targeting have reduced the consumption and inequality of petroleum products and CO₂ emissions in the short term. Still, the inequality in CO₂ emissions continues to increase recently. Thirdly, the national inequality in CO₂ emission mainly attributed to energy factors across provinces, and an increase in the energy inequalities helps to explain the CO₂ inequality increase.