Patterns of Change in the Use of Energy in the New Zealand Economy

1989 ◽  
Vol 21 (9) ◽  
pp. 1141-1156 ◽  
Author(s):  
C Cocklin ◽  
M Harte ◽  
S Lonergan

The relationships between economic activity and energy use have been a matter of interest, in particular since the disruptions to energy markets in the 1970s. Input — Output models provide a convenient methodology by which to identify energy-use intensities of economic sectors at a disaggregate level. Moreover, if there exist at least two compatible tables displaced temporally, it is possible to identify changes in the energy intensity of economic activity through time. The use of energy in the New Zealand economy is estimated for each of the years 1971/72 and 1981/82 by means of Input — Output tables. Subsequent analysis is directed at identifying the relative contributions of changes in the technological coefficients and changes in the pattern of final demand to overall change in energy intensity over the ten-year period. Results suggest that the energy intensity of economic activity in New Zealand, unlike many other industrialised nations, has increased appreciably during the decade under consideration.

Author(s):  
Chibueze, E. Nnaji ◽  
Nnaji Moses ◽  
Jonathan N. Chimah ◽  
Monica C. Maduekwe

<div><p><em>This paper analysed the status of energy intensity of economic sectors (agriculture, industry, commercial, residential) in MINT (Mexico, Indonesia, Nigeria, Turkey) countries and its implications for sustainable development. We utilised descriptive statistics as well as the Logarithmic Mean Divisia Index (LMDI) decomposition analysis to examine energy and efficiency trends, from 1980-2013, in MINT countries. Empirical results indicate inefficient energy use in the residential and industrial sectors of Nigeria and Indonesia. The analysis  also indicates that income/output growth (activity effect) contributed to an increase in sectoral energy consumption of MINT countries. It also revealed that while structural effects contributed to a reduction in energy consumption in virtually all the sectors in Turkey and Mexico, it contributed to an increase in energy consumption of the residential, industrial and commercial sectors of Indonesia and Nigeria in virtually all the periods. These results suggest that a policy framework that emphasizes the utilization of energy efficient technologies especially electricity infrastructural development aimed at energy service availability, accessibility and affordability will help to trigger desirable economic development and ensure rapid sustainable development of MINT economies.</em></p></div>


2014 ◽  
Vol 41 (1-2) ◽  
pp. 120
Author(s):  
Don Kerr

There are many similarities between Canada and Sweden, as both are relatively affluent northern nations with diverse modern economies. Both have witnessed demographic growth and climbing affluence, with predominantly export-oriented economies. Yet in terms of their respective records on greenhouse gas emissions, there is a stark contrast between the two. Sweden is often considered a world leader in reducing emissions, whereas Canada has been widely criticized for its failure to meet international commitments. The current paper attempts to delineate some of the factors responsible for the observed differences between the two countries. It examines trends in environmental impact (CO2 levels) by applying a modified and updated version of Ehrlich’s IPAT equation. The crux of the matter in comparing the two countries is Canada’s substantial population growth and heavy demand for energy (29th among 30 countries in the OECD on our measure of energy intensity) whereas Sweden has managed to move away from fossil fuels in driving its economic activity.


1980 ◽  
Vol 19 (3) ◽  
pp. 247-249
Author(s):  
A. R. Kemal

Input -output analysis is being widely used in developing countries for planning purposes. For a given level of final demand, input-output analysis allows us to project the required level of gross output to ensure consistency of plan. These projections are made on the assumption that the existing production structure is optimal and it implies that an increase in demand will be met through the expansion of domestic output even when it can be satisfied through an increase in imports. On the other hand, according to the semi-input-output method, we do not have to increase the output of international sectors in order to meet the increase in demand because the level and composition of these activities should be determined by comparative- cost considerations. These are the only national sectors in which output must increase in order to avoid shortage. The semi-input -output method has been such a useful and important contribution, yet, regrettably, its influence on the planning models had been rather limited.


Author(s):  
Elias Marvinney ◽  
Alissa Kendall

Abstract Purpose California’s Central Valley produces more than 75% of global commercial almond supply, making the life cycle performance of almond production in California of global interest. This article describes the life cycle assessment of California almond production using a Scalable, Process-based, Agronomically Responsive Cropping System Life Cycle Assessment (SPARCS-LCA) model that includes crop responses to orchard management and modeling of California’s water supply and biomass energy infrastructure. Methods A spatially and temporally resolved LCA model was developed to reflect the regional climate, resource, and agronomic conditions across California’s Central Valley by hydrologic subregion (San Joaquin Valley, Sacramento Valley, and Tulare Lake regions). The model couples a LCA framework with region-specific data, including water supply infrastructure and economics, crop productivity response models, and dynamic co-product markets, to characterize the environmental performance of California almonds. Previous LCAs of California almond found that irrigation and management of co-products were most influential in determining life cycle CO2eq emissions and energy intensity of California almond production, and both have experienced extensive changes since previous studies due to drought and changing regulatory conditions, making them a focus of sensitivity and scenario analysis. Results and discussion Results using economic allocation show that 1 kg of hulled, brown-skin almond kernel at post-harvest facility gate causes 1.92 kg CO2eq (GWP100), 50.9 MJ energy use, and 4820 L freshwater use, with regional ranges of 2.0–2.69 kg CO2eq, 42.7–59.4 MJ, and 4540–5150 L, respectively. With a substitution approach for co-product allocation, 1 kg almond kernel results in 1.23 kg CO2eq, 18.05 MJ energy use, and 4804 L freshwater use, with regional ranges of 0.51–1.95 kg CO2eq, 3.68–36.5 MJ, and 4521–5140 L, respectively. Almond freshwater use is comparable with other nut crops in California and globally. Results showed significant variability across subregions. While the San Joaquin Valley performed best in most impact categories, the Tulare Lake region produced the lowest eutrophication impacts. Conclusion While CO2eq and energy intensity of almond production increased over previous estimates, so too did credits to the system for displacement of dairy feed. These changes result from a more comprehensive model scope and improved assumptions, as well as drought-related increases in groundwater depth and associated energy demand, and decreased utilization of biomass residues for energy recovery due to closure of bioenergy plants in California. The variation among different impact categories between subregions and over time highlight the need for spatially and temporally resolved agricultural LCA.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Guoxing Zhang ◽  
Mingxing Liu

Based on 2002–2010 comparable price input-output tables, this paper first calculates the carbon emissions of China’s industrial sectors with three components by input-output subsystems; next, we decompose the three components into effect of carbon emission intensity, effect of social technology, and effect of final demand separately by structure decomposition analysis; at last, we analyze the contribution of every effect to the total emissions by sectors, thus finding the key sectors and key factors which induce the changes of carbon emissions in China’s industrial sectors. Our results show that in the latest 8 years five departments have gotten the greatest increase in the changes of carbon emissions compare with other departments and the effect of final demand is the key factor leading to the increase of industrial total carbon emissions. The decomposed effects show a decrease in carbon emission due to the changes of carbon emission intensity between 2002 and 2010 compensated by an increase in carbon emissions caused by the rise in final demand of industrial sectors. And social technological changes on the reduction of carbon emissions did not play a very good effect and need further improvement.


Author(s):  
José A. Camacho ◽  
Lucas da Silva Almeida ◽  
Mercedes Rodríguez ◽  
Jesús Molina

AbstractIn order to adequately assess energy policies and set clear objectives, a key preliminary step is to know the energy use patterns of the different countries. This paper estimates the evolution of the total energy use over the period 1995–2015 in four European Union (EU) countries, the Czech Republic, Hungary, Italy, and Spain, representative of two different energy patterns, the “Southern” one and the “Eastern” one. For doing so, we employ a Multi-Regional Input Output (MRIO) model. In difference with previous studies, in addition to differentiate between domestic and foreign use we distinguish whether this energy is produced domestically or abroad. The results obtained show a certain convergence in energy intensity across the four countries examined because of the radical transformations experienced by the Czech Republic and Hungary. Nonetheless, energy intensities are still substantially higher in Eastern than in Southern countries which confirms that the first group of countries have still a long road to go, especially regarding the incentives that their industries have to use energy efficiently. Taking our decomposition of total energy use, the reductions in total energy use were mainly caused by a high decrease in the importance of the domestic use of energy produced domestically. At the same time, a growing importance of the role played by the energy produced abroad was observed. These trends confirm the great importance of global value chains and the steady internalization of energy use. This methodology could be further applied to other countries.


2021 ◽  
Vol 36 (5) ◽  
pp. 347-355
Author(s):  
Tom Baker ◽  
Ryan Jones ◽  
Michael Mann ◽  
Nick Lewis

Drawing on observations at the 2017 Social Enterprise World Forum (SEWF) – a global conference held in Christchurch, New Zealand – this paper examines the significance of localised event spaces in shaping economic subjects and, by extension, economic sectors. Conferences such as the SEWF are sites and moments that provide access to new knowledge, foster collective action and shape the subjectivities of economic actors. We describe how the SEWF cultivated sympathetic affective responses towards social enterprise and the subject position of the social entrepreneur, and demonstrate how the local specificities of Christchurch, as a place, were key to the cultivation of social-entrepreneurial subjectivity at the SEWF.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).


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