Manoranjan Pal

Air quality and economic growth: an empirical study

Abstract In the present empirical study, we have observed an inverse (and sometimes U-shaped) relationship between environmental degradation and per capita real income as opposed to the inverted U-shaped environmental Kuznets curve (EKC) found in many earlier studies. It was felt that a possible explanation of the observed pattern of relationship might be sought in the dynamics of the process of economic growth experienced by the countries concerned. Thus, e.g. economic development may strengthen the market mechanism as a result of which the economy may gradually shift from non-market to marketed energy resources that are less polluting. This phenomenon may show up in the form of an inverse relationship, as mentioned above. Also, due to the global technical progress the production techniques available to the countries all over the world are becoming more and more capital intensive and at the same time less polluting. This may mean that, given the income level, the pollution level decreases as the capital intensity of an economy rises. In the present study, it is indeed observed that as capital intensity increases the level of suspended particulate matter (spm) in the atmosphere decreases. Per capita real income is also found to be inversely related to spm partially, but the interaction effect of per capita income and capital-intensity on spm is observed to be positive. This suggests that, given the level of per capita income (capital intensity), a more capital intensive production technique (a higher per capita income level) would cause less pollution. For spm a surprising result is also obtained, i.e. a U-turn is observed at a very high level of per capita real income (i.e. ∼US

Consistent moment estimators of regression coefficients in the presence of errors in variables

12 500 at 1985 US prices). This is possibly indicative of the fact that there are technological limits to industrial pollution control such that beyond a threshold level of income further rise in income cannot be achieved without environmental degradation.

Role of individual and household level factors on stunting: A comparative study in three Indian states

Abstract This paper examines the possibilities of moment estimators of regression coefficients in the errors-in-variables problem suggested by Geary (1942) and others [Scott (1950) and Drion (1951)]. This approach yields consistent estimators of regression coefficients based on uni- and bi-variate moments (or cumulants) of third or higher order. These are computationally simple and need milder assumptions than the standard techniques, viz., ML and IV estimation. After a review of past investigations, this paper proposes new moment estimators and compares the asymptotic efficiencies of six estimators proposed earlier or here and of the OLS estimator. The case where the true regressor is lognormally distributed receives considerable attention in this communication.

Prevalence of Anemia and Its Determinants Among Nonpregnant and Pregnant Women in India

Background: Status of growth especially in early childhood is not only the most important determinant of health of a child but also a reflection of the well-being of the entire society. The extent of malnutrition in India is very high, but the exact magnitude varies considerably depending on which indicator is used. Child health in this paper is measured through chronic malnutrition (termed as stunting). Three states were selected, namely Bihar, West Bengal and Kerala. These three states represent the three stages of development. Bihar is one of the least and Kerala is one of the most developed states in India. Aim: The present paper aims to investigate the degree of chronic malnutrition in the context of socio-economic, demographic and other characteristics of the children and their households in the three selected states in India. Subjects and methods: The data for this study were taken from the National Family Health Survey (NFHS-2) conducted by the International Institute for Population Sciences (IIPS), Mumbai, in 1998–1999. The NFHS-2 sample covers ever-married women in the age group 15–49 years from 26 states in India. Besides collecting information on health, the survey collects data on socio-economic and demographic characteristics at individual and household level. Results: The percentage of stunting of children in Bihar, West Bengal and Kerala was found to be 54, 39 and 23%, respectively. Regression analysis showed that the major factors that significantly influenced the status of health in the children in all three states were womens education and the household condition index. Months of breastfeeding and birth interval also had some association with health status. The effect of the above-mentioned variables was most prominent in Bihar and least in Kerala in terms of statistical significance. Conclusion: There is a close positive link between the nutritional status of pre-school children and the stages of development of the states. Mothers’ education and household condition are important influences on childrens health status irrespective of the stage of development.

Determinants of nutritional status of pre-school children in india

This study investigates the severity and distribution of anemia among nonpregnant and pregnant women aged 15 to 49 years in urban and rural sectors of 26 states in India and its association with certain economic and biosocial factors. A national survey was conducted to collect data on hemoglobin, height, weight, and certain economic and biosocial factors of 72 660 nonpregnant and 5619 pregnant women. Nonpregnant women aged less than 25 years are most affected by anemia. Womens education and standard of living in the households have a vital role in reducing anemia. Urban and well-nourished women also suffer less from anemia. The severity of anemia is higher among pregnant than nonpregnant women. Efforts must be made to educate women and enhance their level of economic status so that the prevalence of anemia can be reduced substantially.

SOCIOECONOMIC DIFFERENTIALS IN NUTRITIONAL STATUS OF CHILDREN IN THE STATES OF WEST BENGAL AND ASSAM, INDIA

The aim of this paper is to assess the spatial distribution of nutritional status of children of less than three years through Z-scores of weight-for-age, height-for-age and weight-for-height using data collected by the National Family Health Survey (NFHS-2, 1998-99), India. The nutritional status of pre-school children was regressed on different socio-demographic factors after eliminating the effect of age. The data show that there are gender differences and spatial variations in the nutritional status of children in India. Gender difference is not very pronounced and almost disappears when the effects of age and socio-demographic variables are removed. The spatial difference, especially the rural-urban difference, was found to be very large and decreased substantially when the effects of age and socioeconomic variables were removed. However, the differences were not close to zero. All the variables were found to affect significantly the nutritional status of children. However, the literacy of mothers did not affect height-for-age significantly. The weight-for-age and height-for-age scores showed a dismal picture of the health condition of children in almost all states in India. The worst affected states are Bihar, Madhya Pradesh, Orissa and Uttar Pradesh. Assam and Rajasthans are also lagging behind. Weight-for-height scores do not give a clear picture of state-wise variation. Goa, Kerala and Punjab are the three most developed states in India and also have the lowest percentages of underweight children according to the Z-scores. Along with these three states come the north-eastern states where women are well educated. Thus overall development, enhancement of level of education and low gender inequality are the key factors for improvement in the health status of Indian children.

Prevalence and causes of chronic energy deficiency and obesity in Indian women.

Malnutrition among children is prevalent in almost all the states in India. This study assesses the extent and causes of malnutrition in two eastern Indian states with similar climates, namely West Bengal and Assam, using data from the National Family Health Survey 1998-99 (NFHS-2). The three indices of malnutrition taken for analysis are weight-for-height (WHZ), height-for-age (HAZ) and weight-for-age (WAZ). These are assumed to depend on birth order, preceding birth interval, parents educational status, working status of the mother, mothers age at delivery of the children, source of drinking water, toilet facilities and standard of living of the household. Logistic regression was carried out separately for each of the three indices on the explanatory variables for both the states. It was found that not all variables are equally important in determining whether a baby is underweight, or suffering from acute or chronic malnutrition. Also, the importance of variables is not the same in the two states. It was observed that the coefficients associated with the variables in determining weight-for-height are not significant compared with those for weight-for-age and height-for-age.

Body Mass Index and Chronic Energy Deficiency of Adult Males of Central Indian Populations

ABSTRACT We investigate the nutritional status of women in India and its relation to the prevalence of chronic energy deficiency (CED) and obesity. To do this, we have used the data from the Indian National Family Health Survey, 1998–1999, on body mass index (BMI) of ever-married women, ages 15–49 years, along with several socioeconomic factors, such as level of education, religion or caste, occupational status, and standard of living index. The study was based on 81,712 women from 26 states and 6 zones, which were grouped according to geographic proximity of the states of India. A multiple linear regression analysis was done to see the relation between nutritional status of women and different socioeconomic factors. The data reveal that the prevalences of CED, overweight, and obesity in India are 31.2%, 9.4%, and 2.6%, respectively. The incidences of CED and obesity are negatively related. The prevalence of CED is the lowest in Arunachal Pradesh and highest in Orissa. Punjab has the highest prevalence of obesity, and Bihar has the lowest. For the zonewise distribution the Northeast zone has the lowest degree of prevalence of CED and the East zone is at the bottom of the list with the highest degree of malnutrition. We also found that the nutritional status of women goes together with the enhancement of their educational status, standard of living, and so on. There are also significant differences between rural and urban sectors and among castes, religions, and occupations. Furthermore, regression analysis shows that all the socioeconomic variables considered here significantly affect BMI in Indian women.

Trends in Socioeconomic and Nutritional Status of Children Younger Than 6 Years in India

ABSTRACT Data on body weight, height, and sitting height from 11,496 adult males, age 18–62 years, belonging to 38 different populations of five major social groups (scheduled tribes, scheduled castes, “other backward castes,” general castes, and Muslims) of Central India were taken for our analysis to assess the nutritional status of these groups. Cormic index and body mass index (BMI) were computed, and an analysis of variance (ANOVA) was carried out among different populations as well as among social groups separately on Cormic index and BMI. Shape, size, and generalized distances among the different social groups were computed and dendro-grams were drawn. The level of malnutrition is the lowest among the general castes. The opposite is the case with the scheduled castes and scheduled tribes. Comparison of the coefficient of variation shows that there is variation in weight and BMI but that there is no marked variation in the other anthropometric variables. The ANOVA on Cormic index and BMI suggests that the people within a population are more homogeneous than the people between populations. There is a positive but statistically insignificant correlation between Cormic index and BMI. The five social groups differ more in size distance than in shape distance. According to the dendrogram of generalized distance values, the Muslims and the general castes can be grouped into one cluster and the scheduled castes, scheduled tribes, and other backward castes can be grouped into another cluster.

Burden of Anemia and its Socioeconomic Determinants among Adolescent Girls in India

The main aims of this study are to find out the trends in the (a) prevalence of undernutrition and severe anemia and (b) degree of association of undernutrition and severe anemia in children younger than 6 years in India with some socioeconomic variables. Using the Reproductive and Child Health Survey data, z score of weight for age and hemoglobin status were analyzed to understand the state and agewise variation and their association with the sociodemographic variables through logistic regression. The prevalence of malnutrition according to both the criteria was first seen to increase, attain a maximum value at some age between 12 and 48 months, and then decrease. Statewise distribution showed a close link between the stage of development and the prevalence of malnutrition—prevalence rate being less for developed states. The rates were also less for the Northeastern states of India. The regression analysis clearly points out that children with illiterate mothers, of lower age groups, or from low standard of living households are more prone to become malnourished. The economic growth alone is not sufficient for substantially reducing malnutrition. It is necessary to improve the rate of literacy, especially of women, to reduce the prevalence of malnutrition and anemia among children. It is not only economic development but also overall human development that is needed in India.