Kakali Mukhopadhyay

India's Energy Consumption Changes during 1973/74 to 1991/92

The global energy crisis in the 1970s and early 1980s had adverse economic impacts in all oil-importing countries, including India. The objective of the present paper is to analyze energy consumption changes that have taken place in the Indian economy during 1973174 to 1983184 and 1983184 to 1991192, and the factors responsible for these changes. We develop a structural decomposition analysis in which the energy consumption changes are the result of the following six different factors: technical changes; changes in the final demand structure; changes in the interaction term of technical changes and final demand structure; changes in energy exports; changes in energy imports; changes in energy change in stock. Then, we separate the technical changes and final demand structure again, which identifies explicitly the effects of energy consumption.

ENVIRONMENTAL IMPACTS OF TRADE IN INDIA

Abstract This article aims at contributing to environment trade debate by evaluating the impacts of international trade on emissions of carbon dioxide, sulphur dioxide, and nitrogen oxides for the Indian economy during 90s using Input-Output techniques. The article has constructed an index of pollution terms of trade. Using the Input-Output table of 1991–92 and 1996–97 for India we have computed pollution terms of trade for the content of CO2, SO2, and NO x . Results show that the indices are below 100, indicating that India produces goods that are more environment friendly than goods it imports, thus challenging the pollution haven hypothesis for India. The article has also offered explanations for these results.

A Syst-OMICS Approach to Ensuring Food Safety and Reducing the Economic Burden of Salmonellosis

The Salmonella Syst-OMICS consortium is sequencing 4,500 Salmonella genomes and building an analysis pipeline for the study of Salmonella genome evolution, antibiotic resistance and virulence genes. Metadata, including phenotypic as well as genomic data, for isolates of the collection are provided through the Salmonella Foodborne Syst-OMICS database (SalFoS), at https://salfos.ibis.ulaval.ca/. Here, we present our strategy and the analysis of the first 3,377 genomes. Our data will be used to draw potential links between strains found in fresh produce, humans, animals and the environment. The ultimate goals are to understand how Salmonella evolves over time, improve the accuracy of diagnostic methods, develop control methods in the field, and identify prognostic markers for evidence-based decisions in epidemiology and surveillance.

Economic impact of adopting a healthy diet in Canada

AimThe study estimates the macroeconomic impacts of recent healthy diet guidelines announced by the Health Canada.Subject and methodThe study used a modified input–output framework based on the Canadian input–output data for the year 2004 to capture the impact on the whole economy due to changes in food consumption. The input–output method is one of the most widely applied methods in economics. The input–output framework analyzes the interdependence of industries in an economy. The basic information from which this framework is developed is contained in an input–output table. The rows of such a table describe the distribution of a producers output throughout the economy. The columns of the table, on the other hand, describe the composition of inputs required by a particular industry to produce its output. Final demand indicates the sales by each sector to final markets for their production, such as household consumption purchases, sales to the government, and exports to the other countries. This method requires that a sector uses inputs in fixed proportions. The modified Input-Output table of Canada consists of a detailed agricultural sector provided by Agriculture and Agri-food Canada (AAFC). Several simulation exercises have been carried out combining different food consumption strategies.ResultsThe study reveals a gap between the actual and recommended consumption of a healthy diet in Canada for 2004. Canada’s Food Guide for a healthy diet includes four categories of food items: vegetables and fruits, grain products, milk and alternatives, and meat and alternatives. Results show that the Canadian diet has more meat and less vegetables, fruits, milk, and whole grains than recommended. Findings on the implications of a number of strategies combining different food consumptions reveal diverse results. An increase in GDP and employment can be expected if the Canadian diet is composed of more vegetables and fruits, while a reduction in employment and GDP may occur from more meat consumption. The combined strategy with four categories of food items would generate more jobs and GDP in Canada.ConclusionThe article suggests that a suitable portfolio of fiscal policies is needed to provide households with incentives to change their food consumption patterns towards a healthy diet.

A structural decomposition analysis of air pollution from fossil fuel combustion in India

During the last decade, there has been worldwide concern with global climate change, which has been induced by greenhouse gases (GHGs) due to the use of fossil fuels. The CO2 emissions from fossil fuel combustion have been identified as the single most significant source of GHG emissions into the atmosphere. Realising the need to control and regulate emissions of pollutants, the objective of the present study estimates the trend of CO2, SO2 and NOx between the periods 1991-92 and 1996-97. An input-output structural decomposition analysis approach is used to determine their sources of change. It also provides a set of alternative scenarios for the year 2001-2 and 2006-7. The sources of changes in the amount of CO2, SO2 and NOx emissions are categorised into four factors: the ecoefficiency, the structure of production, the structure of demand, and the volume of demand. Results indicate that the electricity sector contributes more towards direct, as well as indirect, emission coefficients. The petroleum product sector also contributes more in this respect. The dominant role is played by the structure of demand and the volume of demand.

Impact of Regional Economic Integration in East Asia

The current study evaluates the economy wide impact of trade liberalization in the ASEAN region along with China, Japan and Korea (ASEAN + 3) by the year 2020 using the GTAP framework. The study also assesses the environmental impact of the trade liberalization in the region focusing on the seven environmental indicators (CO2, CH4, N2O, BOD, COD, Suspended Solid and Industrial Waste). The result shows that the countries under agreement (ASEAN + 3) will benefit with increased output, expansion of trade and welfare due to trade reforms. Further, the integration will increase the global welfare, although the regions not under agreement in the world will show a decline in output growth. Vietnam will be gaining with the highest output growth among the ASEAN region; however, the impact on the environment would not be favourable. The environmental impact reveals a mixed outcome for participating countries under the agreement. The paper provides useful insight in pursuing greater trade liberalization among the countries under the study.

The Nexus Between Carbon Emission, Energy Consumption, Economic Growth And Changing Economic Structure In India: A Multivariate Cointegration Approach

ABSTRACT:India, one of the fastest growing economies of the world is also one of the largest CO2 emitters in the world. Challenge before the country is to reduce this alarming emission levels without hindering its growth prospects. Against this backdrop, the present paper studies the dynamic causal relationships between Indias CO2 emission, energy consumption, GDP growth and changing economic structure. The study uses cointegration and causality analysis for the same. ARDL bound testing approach along with Johansen-Juselius maximum likelihood procedure is applied to examine the existence of long run equilibrium relationship among the variables. Causal linkages between the variables are studied using Granger causality test in Vector Error Correction model framework. For this the study uses data on India for-CO2 emissions, primary energy consumption, GDP per capita and structural variables like, agriculture and service value added, urbanization, production of capital and intermediate goods and employment. Primary energy consumption, per capita GDP and trade openness explain variations in CO2 emissions over long run. Elasticity of CO2 emission with respect to energy consumption is 2 percent in long run and 1.8 per cent in short run. CO2 emissions are less responsive to changes in per capita GDP (0.52) and trade openness (0.10). Both trade openness and GDP per capita growth lower emissions by producing and exporting more labor-intensive environment friendly goods. Causality analysis shows that trade openness Granger causes CO2 emission both in short run and in long run while CO2 emission Granger causes service value added and production of capital and intermediate goods in the short run. Output in these sectors in turn Granger cause employment in the long run. Given the nature of causality, there is no way that India can reduce energy consumption in service sector or in capital and intermediate goods sector. Thus, faced with growing concern over rising emission levels and requirements to meet its growth potentials, India should take policies aiming at greater investment in and usage of cleaner energy, conservation of energy and improving energy efficiency. This way it can strike a balance between reducing its emission levels while maintaining its current growth momentum.

An economic analysis of salmonella detection in fresh produce, poultry, and eggs using whole genome sequencing technology in Canada

The study estimates the annual costs of nontyphoidal Salmonellosis (referred to as Salmonellosis from hereon) from fresh produce, poultry and eggs in Canada. It also estimates the economic benefits from introduction of Whole Genome Sequencing (WGS) in detection of Salmonellosis clusters and outbreaks. Monetary and non-monetary costs from Salmonellosis are estimated. Monetary costs are divided into direct healthcare, indirect, federal and producer costs. Probability models are used to account for uncertainty in the cost-of-illness estimates. Two types of non-monetary costs have been estimated: Disability-adjusted Live Years and Quality-adjusted Life Years. These estimates are then used to calculate the economic impact of WGS on detection of Salmonellosis. The estimated incidence of illnesses is 47,082 annually, which represents a cost of

Productivity and research and development content of intermediate inputs - evidence from Indian industries

287.78 million (total cases) and

Review of the Case Studies

166.28 million (reported cases) from the traditional technology. The total net benefit from introduction of WGS is estimated to range from