Professor Alexander Vaninsky, a long-time economics instructor at the Stamford Campus, recently published the article “Multiobjective restructuring aimed at green economic growth” in Environment Systems and Decisions (February 2021) https://rdcu.be/ch3UZ
This research introduces an approach to the structural optimization of national economies resulting in green economic growth. This study considers the comparative advantages of the sectors of the economy in the final product ratio, energy intensity, and carbonization of the gross output. The input–output model is transformed to a structured form, and the projected gradient of the gross domestic product (GDP) is derived. Factorial models of energy consumption and carbon dioxide (CO2) emissions are developed and used to obtain the projected antigradients of these indicators. Each of these vectors determine the locally
optimal structural change for each dimension. Their components are found to be proportional to the sectoral deviations from the national average, thus revealing a sectorwise comparative advantage or disadvantage. This observation allowed us to characterize these components as Ricardian gradients. Although it is not possible to move in each of the three vectors concurrently, it is possible to direct the economic restructuring to make the least possible acute angles with each vector. Thus, the locally Pareto-optimal vector of structural change is formed. At each moment in time, the system is directed to move alongside this vector or by the boundary. The suggested approach is applied to simulate the economies of China and the United States. The obtained results reveal that the suggested changes in the structure of the gross output simultaneously allowed for an increase in GDP, a decrease in energy consumption, and the mitigation of CO2 emissions. Applications to international cooperation and trade are discussed.
Professor Alexander Vaninsky, a long-time economics instructor at the Stamford Campus, recently published the article “Energy-environmental efficiency and optimal restructuring of the global economy” in the journal Energy (June 2018).
The paper discusses the opportunities for economic restructuring, including the redistribution of population, means of production, energy consumption and greenhouse emissions, resulting in optimal increase in the energy-environmental efficiency. The paper utilizes stochastic data envelopment analysis with perfect object that the author developed in his previous publications. A computer program supporting the computations is published in a separate related article in the Data in Brief journal (August 2018).
The primary objective of this study is to investigate the opportunities for economic restructuring, resulting in an optimal increase in the energy-environmental efficiency of the global economy. A novel stochastic data envelopment analysis with a perfect object method (SDEA PO) constitutes the methodology of the research. We equip SDEA PO with the projected gradient of the efficiency score. We employ the indicators of the gross domestic product (GDP) and carbon dioxide emissions (CO2) as output and undesirable output, respectively, and population and clean energy consumption as input and undesirable input, respectively. By using the SDEA PO, we obtain a group efficiency score for the global economy; the projected gradient identifies the direction of optimal economic restructuring. The indicator-wise components of the projected gradient determine locally optimal changes in the shares of each economy, serving particular goals. We use a factor analysis technique to aggregate them into one factor vector that determines the multicriteria optimal structural change. The factor vector determines the redistribution of the GDP, clean energy consumption, CO2 emissions, and population, leading to the maximum possible increase in the energy-environmental efficiency. The suggested approach may be used as a tool for decision-making in a variety of two-tier economic systems.
Professor Alexander Vaninsky, a long-time economics instructor at the Stamford Campus, recently published the article “Optimal environment-friendly economic restructuring: the United States–China cooperation case study” in the journal Economic Change and Restructuring (November 2017).
This paper discusses a model for the restructuring of national economies for the purpose of achieving optimal growth under conditions of decreased energy consumption and greenhouse gas emissions. The discussion combines input–output and factorial-decomposition models, and applies projected gradient and factor analysis to find the optimal structural changes that serve all three goals. A comparative analysis of the economies of the United States and China, including opportunities for cooperative restructuring, serves as a case study.