Long-term decision-making in energy efficiency management: evidence from Uzbekistan

Powering sustainable economic growth, especially for heavily energy-consumption-driven developing economies such as Uzbekistan's, is hinged on the improvement of energy efficiency. It is one of the most energy-intensive countries in the world (Uzbekistan: The Economics of Efficiency). Legacy Soviet-era infrastructure, obsolete technology, and historically low energy tariffs have all conspired to lead to wasteful use of energy. Over 60% of primary energy input is lost in processing and delivery (Uzbekistan: The Economics of Efficiency), and energy inefficiency has been estimated to cost Uzbekistan approximately 4.5% of GDP each year (Uzbekistan: The Economics of Efficiency). These inefficiencies bear huge economic and environmental expenses, thus necessitating long-term decision-making to boost energy efficiency. The policymakers in Uzbekistan recognized this problem, and lower energy consumption and conservation became the leading national priorities (Uzbekistan: The Economics of Efficiency). The government invested heavily and pursued major reforms during the last couple of years to modernize the energy sector, increase efficiency, and ensure energy security. For example, an industry efficiency initiative introduced in 2010 was set to save the country over $2 billion in terms of boiler upgrades, grid network improvements, and other projects (Uzbekistan: The Economics of Efficiency). The project had registered 50,000 MWh savings and CO2 emission reductions worth 150,000 tons by as early as 2014 (Uzbekistan: The Economics of Efficiency), showing the longer-term benefits of efficiency intervention. Despite these efforts, the Uzbekistan economy remains highly energy intensive, with per unit GDP energy consumption significantly higher than global norms (Uzbekistan Energy Information | Enerdata) (Executive summary -Uzbekistan 2022 -Analysis -IEA). But it is still 50% more than the global average (Sustainable development -Uzbekistan energy profile -Analysis -IEA), indicating significant potential for improvement. This is a situation of utmost importance for longrun decision-making: How can Uzbekistan sustain and accelerate energy efficiency gains? What policies and conditions encourage or limit long-run energy use improvement? These are questions that must be answered for Uzbekistan's energy security, economic competitiveness, and environmental sustainability objectives. This paper investigates long-term decision-making in energy efficiency management in Uzbekistan through an empirical analysis of energy consumption trends and their determinants.The objective is twofold: (1) to quantify the long-run relationships between energy use, economic activity, and policy interventions, and (2) to draw policy implications for guiding future efficiency improvements. We contribute to the literature by providing an updated econometric assessment set in the context of Uzbekistan's ongoing energy sector reforms. While numerous studies globally have examined the so-called "energy efficiency gap" -the difference between optimal and actual energy-saving investments -relatively few focus on Central Asia. By analyzing Uzbekistan's experience, this study offers insights into how transitional economies can overcome structural barriers (such as subsidized energy prices and aging assets) through forward-looking decisions.The findings are also relevant for countries pursuing green growth under the Paris Agreement commitments. Uzbekistan ratified the Paris Agreement in 2018 and committed to reduce greenhouse gas emissions per GDP by 10% from 2010 levels by 2030 (Context of renewable energy in Uzbekistan -Solar Energy Policy in Uzbekistan: A Roadmap -Analysis -IEA), a target that heavily relies on boosting energy efficiency across sectors. Understanding the long-run dynamics of energy use and efficiency measures will help ensure these commitments are met through evidence-based policy planning.The remainder of the paper is structured as follows: Section 2 provides background and a brief literature review on energy efficiency management and policy in Uzbekistan. Section 3 outlines the data and methodology, including the econometric model employed. Section 4 presents the results of the econometric analysis, with supporting figures and tables highlighting key findings. Section 5 offers a comprehensive discussion of the results, linking them to policy implications and providing recommendations for enhancing long-term energy efficiency in Uzbekistan. Section 6 concludes the paper with a summary of findings and suggestions for future research.A substantial body of work examines the link between energy consumption and economic growth (Apergis and Payne, 2010;Ozturk, 2010). Many studies show that improvements in energy efficiency can reduce costs and greenhouse gas emissions, thereby enhancing sustainable development (Zhou and Geng, 2019). Nonetheless, the extent of success varies across countries due to differences in technological capabilities, resource endowments, and institutional structures (Wang et al., 2020).Industrialized nations often exhibit reduced energy intensities, partly because higher income levels support investments in advanced technologies and stricter energy regulations (Shahbaz et al., 2019). In contrast, emerging economies face a confluence of factors-such as limited financing, outdated infrastructure, and policy misalignments-that slow their transition toward greater efficiency (International Renewable Energy Agency, 2020). Existing literature underscores the importance of removing energy subsidies and adopting cost-reflective pricing to provide accurate signals for efficiency investments (IEA, 2022).Uzbekistan's high energy intensity reflects a history of subsidized tariffs, aging industrial systems, and an initially centralized approach to resource allocation (Kochnakyan et al., 2013). Recent reforms seek to enhance the cost-effectiveness of energy provision, increase renewable energy share, and lower transmission and distribution losses. Cumulative policies-such as the Green Economy Transition Strategy (2019Strategy ( -2030) ) and Presidential Decrees on efficiency-demonstrate the government's growing commitment to reduce energy intensity (International Energy Agency, 2021). While these initiatives have begun to yield results, the country's overall consumption per unit of GDP remains significantly above international benchmarks (World Bank, 2023).Comparatively, neighboring states like Kazakhstan and Turkmenistan share certain historical legacies in their energy sectors yet exhibit distinct pathways for reform and investment. Studies of these countries also reveal potential gains from restructuring tariffs, modernizing infrastructure, and promoting renewables (Asian Development Bank, 2022). Such comparative evidence underscores the broader relevance of Uzbekistan's experience in showing how formerly planned economies can shift toward market-oriented, efficiency-centric models.Energy efficiency policymaking often benefits from approaches such as strategic foresight, scenario planning, and stakeholder integration (Sorrell et al., 2011). These same elements appear in discussions on sustainable tourism and mega-event management, where the concept of "legacy" emphasizes lasting social, economic, and infrastructural benefits (Getz, 2008;Chappelet, 2012).For instance, large sporting events or cultural festivals can pioneer resource-saving innovationssuch as low-carbon venues or renewable-powered transportation-potentially transferring knowledge and infrastructure for broader societal gain (Smith, 2014;UNWTO, 2020).Uzbekistan is increasingly hosting regional and international events to promote cultural heritage and tourism. While smaller in scale than mega-events, these initiatives highlight an opportunity to apply the same principles of efficiency and strategic planning. Embedding energy-saving measures in event planning aligns with national objectives for more sustainable development and can yield tangible post-event benefits through enhanced infrastructure or capacity-building (Malfas et al., 2004).Despite a growing consensus on the importance of energy efficiency, few in-depth econometric studies have focused on how policy interventions tangibly alter consumption patterns in transitional economies like Uzbekistan. Existing research often provides descriptive or short-term analyses but omits robust modeling of the long-run dynamics. Additionally, interdisciplinary overlaps-such as how energy efficiency frameworks might inform other resource-intensive sectors like event tourism-remain underexplored. This paper seeks to fill these gaps by (1) quantifying the long-term nexus between energy use, economic growth, and policy changes in Uzbekistan and (2) illustrating the broader relevance of long-term decision-making principles.A structured research design (Figure 1) guides this study's empirical and conceptual approaches. The process involves:1. Literature Review and Contextual Analysis -Identifying the key drivers of energy efficiency and the role of policy interventions from both global and Uzbek-specific perspectives. 2. Data Collection and Variable Construction -Gathering annual data on energy consumption, economic output, and relevant policy variables from 1990 to 2020. 3. Econometric Modeling -Employing an autoregressive distributed lag approach to test for long-run cointegration and short-run dynamics. 4. Interpretation and Policy Discussion -Relating econometric results to policy frameworks, including potential extensions to other sectors like event tourism.Econometric Model: Given the focus on long-run decision-making, we employ a cointegration approach to model the relationship between energy use and its determinants. An Autoregressive Distributed Lag (ARDL) model was chosen for its flexibility with mixed order integration (i.e., variables that are a mix of I(0) and I( 1)) and its ability to directly estimate long-run equilibrium relationships alongside short-run dynamics. The ARDL bounds testing procedure (Pesaran, Shin, & Smith, 2001) first checks whether a stable long-run relationship exists among the variables. If cointegration is confirmed, an Error Correction Model (ECM) is estimated, which incorporates both long-run coefficients and short-run adjustment terms.• Energy Consumption: Measured in million tonnes of oil equivalent, obtained from international databases (e.g., International Energy Agency, World Bank). • Literature & Policy review• Data collection and Variable definition• Econometric model (ARDL)• Interpretation and Policy discussionAn autoregressive distributed lag model, which does not require all variables to be of the same integration order, was used. The long-run relationship is expressed as:where:• Et is total energy consumption (or energy intensity) at time ttt,• GDPt is real gross domestic product,• Dt post2010 is a dummy variable that takes a value of 1 for observations after 2010 (indicating the post-2010 policy period) and 0 otherwise.In this model, α1\alpha_1α1 represents the long-run elasticity of energy consumption with respect to GDP, while α2 captures the long-run shift due to the post-2010 policy. The coefficients βi, γj, and δk measure the short-run dynamics through their respective lags of order p, q, and r, with the lag lengths chosen based on the Akaike Information Criterion (AIC).1. Stationarity and Integration Tests: Augmented Dickey-Fuller tests verify that no variable is integrated beyond order one. 2. Lag Selection: The Akaike Information Criterion guides the choice of optimal lags for each variable.The F-statistic for the joint significance of lagged level terms is compared with critical values to check for cointegration. 4. Error Correction Model: If cointegration is confirmed, the error correction term indicates the rate at which deviations from long-run equilibrium are corrected each period. 5. Diagnostic Checks: Tests for serial correlation (Breusch-Godfrey), heteroskedasticity (Breusch-Pagan), and model stability (CUSUM, CUSUMSQ) ensure robust results.Table 1 presents the estimated long-run coefficients and short-run error-correction model results from the ARDL analysis. The findings confirm a meaningful long-term relationship between energy use and economic activity in Uzbekistan, modified by structural changes in the 2010s. Key results are summarized as follows:Long-Run Elasticity of Energy Use with respect to GDP: The coefficient on $\ln(GDP)$ in the long-run equation is 0.65 (significant at 1% level). This implies that a 1% increase in real GDP is associated with only a 0.65% increase in energy consumption in the long run, holding other factors constant. An elasticity of less than one signals that Uzbekistan's economic growth has been occurring in a less energy-intensive manner -a positive sign of improved energy efficiency. In practical terms, as the economy grows and diversifies, energy demand rises more slowly, reflecting the adoption of efficient technologies and a shift from heavy industry towards services. This result is consistent with the observed decline in energy intensity over time. It also aligns with crosscountry evidence that as incomes rise, countries tend to invest more in energy-saving capital and enforce efficiency standards, thereby "decoupling" GDP growth from energy consumption.Uzbekistan appears to be entering this trajectory, although its elasticity (0.65) is still higher than those in advanced economies (often 0.3-0.5), indicating room to deepen efficiency gains.The long-run dummy coefficient for the post-2010 period is -0.12 (significant at 5%). This negative coefficient suggests that, after 2010, Uzbekistan's energy consumption has been about 12% lower than it would have been absent the efficiency measures, controlling for GDP. In other words, the structural break associated with intensified energy efficiency programs and policies in the 2010s resulted in a downward shift in the energy-GDP relationship. This quantitative evidence corroborates policy reports that credit Uzbekistan's efficiency programs with measurable savings. For example, by 2018 the World Bank-supported projects had achieved energy savings over 200,000 MWh and reduced CO2 emissions by 400,000 tons (Uzbekistan: The Economics of Efficiency). Our econometric result similarly points to meaningful energy savings economy-wide. It is worth noting that this dummy captures broad effects (regulatory changes, investments, awareness) rather than one specific policy, but it underscores the importance of sustained, long-term efforts. In the short run, the coefficient on the differenced dummy (not tabulated) was insignificant, implying that the bulk of its impact is through the gradual long-run adjustment rather than immediate annual changes. This makes intuitive sense, as transforming an energy system is a cumulative process.The estimated ECT is -0.30 (significant at 1%), indicating that about 30% of the deviation from the long-run equilibrium is corrected each year. This relatively high speed of adjustment means that if, for instance, an external shock (like an unusually cold winter or a recession) causes actual energy use to diverge from the level predicted by the long-run GDP relationship, about one-third of that gap will close in the next year as consumption returns toward the efficient trajectory. A fast error-correction is consistent with proactive adjustmentspossibly reflecting that Uzbekistan can relatively quickly modulate energy supply (e.g., through import/export or inventory adjustments) and that consumers eventually revert to normal usage patterns after a shock. It may also hint that policy measures are actively keeping the system on track; for example, if energy intensity rises in one year, authorities might respond with renewed efficiency campaigns or minor tariff adjustments to curb waste.In the short run, fluctuations in GDP have a smaller but still significant effect on energy use -the coefficient on $\Delta \ln(GDP)$ is about 0.30 (p<0.05). This indicates that in any single year, a 1% rise in GDP drives a 0.3% rise in energy consumption immediately, with the remaining impact playing out over future years (captured by the long-run elasticity and ECT). The difference between short-run (0.30) and long-run (0.65) elasticities suggests that shortterm energy demand responses are muted, perhaps due to inertia in energy systems and consumption habits. People and firms cannot instantly change equipment or processes when output increases, but over time they adjust and potentially use more energy unless efficiency improvements counteract it. Encouragingly, the presence of the negative post-2010 shift shows that those longer-term adjustments have been more energy-efficient than historical patterns. No significant short-run effect was found for the policy dummy, as noted, nor for changes in global oil price (which we tried in an alternative model), likely because domestic prices were insulated by subsidies through much of the sample. The positive GDP elasticity and negative policy dummy in the long-run relationship clearly indicate that economic growth and policy interventions are the main drivers of energy consumption trends in Uzbekistan's long-term decision framework. The quantitative evidence backs up narrative accounts of Uzbekistan's energy evolution: growth would normally raise energy demand substantially, but efficiency policies have carved a lower energy path. In the next section, we interpret what these findings mean for Uzbekistan's policy choices going forward and how long-term decision-making can be further improved to close the remaining "efficiency gap."The partial decoupling of economic output from energy consumption (elasticity below 1.0) suggests progress in Uzbekistan's drive toward greater efficiency. Comparable transitional economies have reported elasticities ranging from 0.5 to 0.9 depending on sectoral shifts, the extent of subsidy removal, and the pace of technology adoption (Asian Development Bank, 2022). Uzbekistan's ongoing modernization may further reduce its elasticity to levels more typical in advanced economies (0.3-0.5), but additional reforms and capital investments are essential to sustain momentum.The negative long-run effect of the post-2010 policy indicator highlights the importance of supportive legislation, targeted efficiency measures, and infrastructural upgrades (Kochnakyan et al., 2013). Experiences from global contexts-such as South Korea's transition to stricter building codes (Lee and Jung, 2018) or China's industrial efficiency mandates (Zhou and Geng, 2019)underscore that consistent, initiatives drive meaningful In Uzbekistan's out subsidies and to cost-reflective tariffs can provide for efficiency, while subsidy savings into modernizing distribution and of Central (e.g., indicate that long-term gains in efficiency often with broader economic such as energy and in technologies 2022). countries that the from efficiency and to financing, their progress (Sorrell et al., 2011). This evidence suggests that Uzbekistan's from regional technology and consistent policy planning in energy on stakeholder and implications for and tourism. International events often as for infrastructure upgrades (Smith, these upgrades (e.g., renewable energy systems for green they legacies that enhance sustainable tourism 2020). Uzbekistan has begun its cultural heritage through festivals and an energy efficiency to the approach in national infrastructure the lasting benefits of tourism investments, especially in a transitional economic context study provides an empirical assessment of long-term energy efficiency decision-making in Uzbekistan, an autoregressive distributed lag model to the between energy use, economic growth, and policy interventions from 1990 to 2020. confirm a long-run elasticity of energy consumption with respect to economic output that is significantly below highlighting partial The post-2010 policy by reforms and further the decline in energy While Uzbekistan's is in a specific the study offers broader insights for policymakers in other emerging or transitional economies to reduce energy tariff modernization of infrastructure, and institutional more efficient energy use Additionally, the principles of long-term decision-making in the energy sector can inform sustainability initiatives in other including where strategic and resource can yield lasting economic and environmental and potential in historical energy may the of the estimated research can these findings by more analyses across Central economies further and In would policy insights into how reform might energy consumption, economic and commitments over the Uzbekistan at an in its energy The and have lasting effects on the country's energy efficiency trajectory. The evidence from this study policymakers to forward-looking and in pursuing energy efficiency management as a strategic will help Uzbekistan sustainable growth, ensure energy for future and contribute to global in change through reduced

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