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This bibliography contains references to papers, conference proceedings, theses and books dealing with finite strip, finite prism and finite layer analysis of structures, materially and/or geometrically linear or non‐linear.

India is a developing nation where the marginal benefit of infrastructure development is tremendous. The purpose of this paper is to analyze the relationship between infrastructure development and poverty reduction for India using the yearly data from 1991 to 2015.

The authors use the principal component analysis to construct indices for four major sub-sectors, namely, transport, water and sanitation, telecommunications and energy, falling under the broad infrastructure sector and then using these sectorwise indices, the authors construct an overall index which represents infrastructure development. The authors provide evidence on the link between infrastructure development and poverty reduction by using the auto regressive distributed lag (ARDL) bound testing approach.

The ARDL test results suggest that infrastructure development and economic growth reduce poverty in both long run and short run. The causality test confirms that there is a positive and unidirectional causality running from infrastructure development to poverty reduction.

The study confirms that India’s Infrastructure development plays a vital role in reducing poverty and calls for the Indian Government to adopt economic policies which are aimed at developing and strengthening the infrastructure levels and bringing in more investment in the infrastructure sector in order to help the poor population by making them exposed to better opportunities of employment and income growth, thereby achieving the goal of poverty reduction.

This paper is a fresh and unique attempt of its kind to empirically investigate the causal relationship between infrastructure development and poverty reduction in India using modern econometric techniques.

The purpose of this study is to examine the impact of globalization and its multiple dimensions on human rights in Sub-Saharan Africa.

The study extends the Poe and Tate (1994) model, which enumerates the various determinants of human rights. Ordered probit estimation is used to estimate the impact of globalization and its dimensions. For the purpose of empirical analysis, the period has been divided into three phases: short, medium and long term. This helps in understanding how the impact of the different dimensions of globalization has evolved over a period of time. Furthermore, analysis has been carried out to detect causality between human rights and globalization.

As per the results, overall globalization and social dimension of globalization do have a positive impact on human rights in long and medium term and, also, Granger-cause human rights. The political dimension of globalization has a positive relation with human rights, though there exists no causality between the two. On the other hand, the economic dimension of globalization fails to have a statistically significant impact on human rights. Impact of the social dimension of globalization dominates that of other dimensions of globalization.

This is one of the few studies that examine, in an empirical fashion, the impact of globalization on human rights in Sub-Saharan Africa.

This paper aims to suggest the preferred mode of financing for major sub-sectors of infrastructure: roads, seaports, telecommunication and energy by examining which mode of infrastructure financing – public, private or public–private partnership (PPP) – has the maximum positive impact on the overall GDP of India. The same exercise was carried out for the overall infrastructure sector by integrating data from all the four sub-sectors.

The structural vector autoregressive approach was used with the period of analysis taken from 1995 to 2014. The stationary properties of the variables were checked by the Phillips–Perron unit root.

The PPP mode of financing was found to make the maximum positive impact on the GDP of India. Considering the four sub-sectors individually, it was concluded that the private mode of financing in roads, energy and telecom sectors has the maximum positive impact on the GDP, while the PPP gives optimal benefit to the seaports sector.

Results will aid the Indian Government and policymakers to efficiently design and develop their economic policies accordingly.

The study is novel in a sense that it helps to address the lack of research into the area of infrastructure financing in India.

The purpose of this paper is to investigate the relationship between infrastructure development, rural–urban income inequality and poverty for BRICS economies.

Pedroni’s panel co-integration test and panel dynamic ordinary least squares (PDOLS) have been used to carry out the analysis.

The empirical findings confirm a long-run relationship among infrastructure development, poverty and rural–urban inequality. The PDOLS results suggest that both infrastructure development and economic growth lead to poverty reduction in BRICS. However, rural–urban income inequality aggravates poverty in these nations. The paper advocates for adopting policies aimed at strengthening infrastructure and achieving economic growth to reduce the current levels of poverty prevailing in the BRICS nations.

Significant limitations exist in the literature in terms of not clearly defining the nature of relationship and interlinkages between infrastructure development, poverty and inequality, with regard to the BRICS nations. The available studies mainly focus on the relationship between infrastructure and growth, with the universal agreement being that these two are positively related. However, it is still not right to assume that economic growth attributable to infrastructure development will, therefore, subsequently lead to a reduction in inequality. This forms the basis for this study, that is, to critically examine the relationship between infrastructure development, inequality and poverty for BRICS nations.

Using primary survey data from an urban area in Global North, this study aims to examine the impact of sociodemographic factors on perception of usefulness of public transport and the importance of safety in preferring private modes of transport over public.

The study uses stratified random sampling technique to collect data on travel behavior and socioeconomic characteristics. Descriptive statistics complemented with bivariate probit model and seemingly unrelated bivariate probit model is implemented on the data obtained.

The study finds that women, unmarried individuals, the youngest age group, least educated individuals and those who are working are expected to finding public transport more useful as compared to their respective counterparts. Despite finding the mode most useful, women are more likely to find it unsafe to travel.

The study calls attention to not only dealing with the infrastructural changes in system but also with those attached insecurities which limit its use.

To the best of our knowledge, this is the first time a comprehensive evaluation of the demands and challenges for transportation services faced by different segments of the society is carried out in this section of the developing world.

Using survey data of a developing country city, this study aims to examine the impact of different socio-demographic factors on the choice of less-polluting modes of transport for purposes other than work.

Stratified random sampling technique is employed and data on socio-demographic characteristics and mode of transport used is collected. Descriptive statistics complemented with a logit model of choice probabilities is implemented on the data obtained.

Majority of the population in the city uses motorized means of transportation irrespective of the socio-demographic changes existing among them. Women, the individuals belonging to the youngest age group, the least economically well-off group of people, the least educated and the non-working are the individuals more likely to use more of less-polluting modes and less of more-polluting modes for non-work purposes as compared to their counterparts.

The study also calls for the development of an efficient and secured system of public transportation and non-motorized transportation in the city in such a way so as to neither hamper the goal of sustainability nor the goal of empowerment.

To the best of the authors’ knowledge, this is the first time a comprehensive analysis of the influence of socio-demographic factors on choice of type of mode of transport is carried out in this region of the developing world. This analysis will facilitate the policy makers in catering to the transportation needs of different segments of the society.

The present research has been conceptualized to make an inter-district analysis in terms of IHDI of Uttar Pradesh. It aims to provide district-wise estimates of HDI and IHDI with the latest available data, which may prove to be a critical policy input to the policy makers that how different districts are performing in terms of education, health and standard of living parameters and help in implementing tailor made policy actions.

The paper utilizes the Census of India data and unit-level data of National Sample Survey (NSS) for constructing HDI and IHDI. The broad framework for computing IHDI in this study is similar to the approach of UNDP's HDR 2010. To adjust the inequality aspect, the Atkinson inequality aversion parameter has been estimated at indicator level on the basis of NSS unit record data.

The study reveals that inequality discounted income index is on an average 30 percent lower than unadjusted income index. However, quite high variation exists in case of education and health. The difference ranges from 30 percent to 40 percent in the case of education and from 3 to 36 percent in the health dimension. The surprising fact which study finds that health infrastructure and education infrastructure are poorly correlated with their respective outcomes.

The study offers a policy suggestion that increasing investment on educational and health infrastructure will not have any significant impact on their respective outcomes unless distributional inequalities are reduced. The study also suggests that rising income inequalities are threat to inclusive growth and sustainable development goals agenda. Thus, it recommends policy makers to take pro-active timely policy measures to reduce income inequalities. The educational achievement should be fixed in terms of average years of schooling and expected years of schooling rather than in terms of literacy rate.

The present research is an original work. This is the first study in the case of Uttar Pradesh which attempted to estimate district-wise IHDI following the internationally accepted UNDP (2010) methodology.

This paper aims to empirically investigate the dynamic interlinkages among globalization, digitalization and economic development in the top 75 most globalized countries from 2000 to 2019. The selection of the 75 most globalized developing countries is based on the overall scores of the KOF Globalization Index (2021).

The research design is based on secondary data collected from the World Bank (2021), the International Telecommunication Union (2021) and the KOF Globalization Index (2021). The study uses panel unit root tests followed by the panel cointegration techniques. Further, the estimation uses panel fully modified ordinary least squares and panel dynamic ordinary least squares methods.

The empirical results reveal that the effect of globalization on economic development is sensitive to different estimation procedures; in some cases, but not in every case, the effect is positive and significant. However, the positive and significant effect of digitalization on economic development is robust across all estimated models. Long-run equilibrium relationships and bidirectional causalities strongly affirm the nexus among globalization, digitalization and economic development, substantiating the interconnectedness among 75 developing economies.

The study reinstates that the forces of globalization and digitalization will be instrumental in shaping the selected most globalized economies in the long run. Adopting various econometric methodologies takes care of the time-specific and cross-sectional dynamics, as evident in the panel framework considered in this study. The empirical findings truly ascertain the theoretical synergy among the forces of globalization leading to more digitalization and economic development. This makes the empirical interplay highly conducive to framing long-term policies to expand the information communication network in terms of its access and reach.