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Lack of census data and use of electoral roll-based sampling frame in specific studies

Selection of households and individuals is one of the most important tasks of developing sampling designs. Traditionally, in developing countries where population data is mostly available in the censuses conducted by the government, this information forms the basis of the house-listing done for the purpose of selection of households in a sample survey. In India as well, researchers mostly depend on the census data for constituting robust and representative sampling frames using a house-listing exercise to implement a particular sampling technique, unlike in the USA or other similar countries which already have readily available sampling frames. The house-listing process is a cumbersome process and often requires time and financial resources, which may, at times, deter researchers from using these probability-based sampling techniques and resort to purposive sampling which often may not be representative and may not provide unbiased information and data.

In this context, IWWAGE explored using electoral rolls as an alternative to using population census as sampling frames in the selection of household or individuals for some of our recent studies. Using electoral rolls for studies aimed at policy-making is a relatively new trend. In the absence of updated census data as well as to ensure minimised time and resource requirements, exploring electoral rolls as sampling frames may be useful, although its use for household surveys is relatively sparse in India (Vaishnav, 2021; Joshi et al. 2020). At IWWAGE, we have used electoral roll sampling frame for selection of individuals for the surveys in two of our studies on labour force participation. The data collection for one study, viz., ‘Women’s Labour Force Participation in Select States in India’, was conducted during November, 2021 and January, 2022 and the other one is an ongoing study on ‘Capturing women’s work to measure better’.

The completed study majorly aimed at unpacking the enablers and barriers of women’s labour force participation and suggesting actionable points based on the findings. For this study, approximately 5000 females and 1000 males were interviewed, from five states of India, namely Jharkhand, Karnataka, Delhi, Rajasthan, and Madhya Pradesh. The main objectives of the ongoing study are to capture women’s work comprehensively by identifying the varied, yet major, forms of paid and unpaid activities, listing activities by categories of work, and developing mechanism of estimating the simultaneity of engagement of women. Approximately 4000 females and 800 males have been surveyed from the states of Jharkhand and Karnataka for the study.

It is worth mentioning that, in a multi-stage cluster sampling context, selection of individuals (or households) from the electoral roll frame entails selection of polling booth in the previous stage of sample selection as opposed to more traditional approach of selecting villages in rural areas and census enumeration blocks (CEB) or urban frame survey (UFS) blocks in urban areas. In this note, we outline the advantages and challenges of using electoral rolls in selecting individuals based on our experience of conducting the two studies mentioned above.

Advantages of using electoral rolls in constructing the sampling frame

In addition to being time and cost efficient, there were multiple other advantages of using electoral-rolls as an alternative sampling frame, particularly in our studies. This technique provides us direct access to individual-level information like age, gender etc, that enables selection of a random sample, stratified on the basis of individual characteristics. It also allows us to minimise respondent bias by enabling enquiry from each individual rather than elicit information from only one member of the sample household who may then be the representative of the sampling unit and respond ‘on behalf’ of others, which may carry certain biases.

Also, the electoral-roll based sampling is a better alternative to the non-probabilistic sampling methods where sample selection often relied upon the ease of access to respondents and thus leads to a non-random, non-representative sample.

  1. Challenges of using electoral-rolls in constructing the sampling frame:

However, there exist a few challenges of the electoral roll-based sampling, as described below.

  1. Categorizing polling booths into rural and urban centers: In case of a few states, the rural-urban bifurcated list of polling booths is not directly available anywhere. In those cases, each polling booth has to be located in the Geographic Information System (GIS) software maps and categorized on the basis of information provided in the software. For example, in case of Karnataka, to know the rural/urban location of a polling booth, it has to be located in the GIS map and then the rural/urban location has to be decided depending on whether the polling booth is falling under a Hubli (indicating a rural area) or town (indicating an urban area).
  2. Translation from local language: In case of a few states (for example, Karnataka), where the list of polling booths and the electoral rolls are available in local languages only, translating in English and digitizing them, increase the risk of errors, and require robust monitoring and quality checks.
  3. Unavailability of voter rolls in convertible PDFs: Voter rolls are sometimes available online in standard PDF but in many cases, they are available as scanned copies of voter lists. These are difficult to convert into excel files, and hence sometimes entries of the listed individuals need to be done manually – increasing the cost and time in the digitization process. It also inbuilds a cost of manual supervision after the entries are completed in the excel file. In case of a large-scale coverage/nationally representative study, the manual process of making entries will be challenging.

 

  1. Challenges arising for electoral roll-,zbased sampling method while implementing the survey:
  2. Less frequent updating of the voter rolls: Less frequent updating of the voter rolls leads to difficulties in locating the respondents, especially in urban areas with high intra-city or inter-city out migration. Combining two of our studies, in about 20-30% instances, the respondents could not be located due to out-migration. However, as the geographical area of survey expands, this percentage comes down.
  3. Difficulty in locating respondents in dense settlements: In case of the densely populated urban areas, the houses located near the boundaries of the polling booths often get excluded from the electoral rolls corresponding to their own polling booth and get enrolled in the electoral rolls of the adjacent polling booths. This arises due to the fact that there is a cap on the number of voters in a polling booth and once the limit is reached, the remaining voters are to be enrolled in the neighbouring polling booth.
  4. Difficulty in locating women in younger age-cohort: It is also realized that locating women in the age-cohort of 18-24 years is far more difficult as compared to others. Younger women are much less likely to be listed in the voter rolls than other individuals and they also relocate more often after marriage, rendering themselves as untraceable in that particular polling booth.
  5. False entries: Sometimes the names or other information like age of the individuals does not match exactly leading to minor mismatch between the electoral roll entry and the original information of individuals. Also, the existence of false entries is found in the voter’s list.
  6. Voters not residing in the delimited area of a particular polling booth: In some cases, it is found that most of the respondents selected from the voter list of a particular booth, actually reside in a village far from the polling booth demarcated area. This is because voters in a particular area are assigned to other polling booths besides the one officially demarcated for the area.

To tackle the challenges of non-response and difficulty in locating the respondents, digitizing data of extra polling booths as buffers and preparing a list of respondents which include more numbers in addition to the required sample size for each group of respondents in each polling booth, would be a mitigating mechanism.

  1. Suggestions to facilitate a more convenient use of electoral rolls in constructing sampling frame:

Below are a few suggestions from our experience of using electoral rolls for constructing sampling frame to make the process more efficient:

  • providing the list of polling booths and electoral rolls in English;
  • indicating the rural/urban location of the polling booths in Chief electoral officer’s website;
  • making the electoral rolls available in convertible PDFs; and
  • more frequent updating of the electoral rolls.

Lastly an important limitation of using electoral rolls pertains to specific age cohorts. Since the electoral rolls include only the eligible voters, the sampling frame thus includes only those individuals who are 18 years and above. It would thus be relevant mainly for surveys that include specific age groups above a certain threshold.

 

This blog has been authored by Dr. Sona Mitra, Director- Policy and Research, IWWAGE; Dr. Bidisha Mondal, Research Fellow, IWWAGE; Prakriti Sharma, Senior Research Associate, IWWAGE; and Aneek Chowdhury, Research Associate, IWWAGE[1].

We are very thankful to Dr. Santanu Pramanick for his guidance through the process of developing a sampling frame. We are also grateful to Shri P C Mohanan for his comments in both phases of using the electoral rolls for our purpose.

IWWAGE at the 64th Annual Conference of the Indian Society of Labour Economics (ISLE) at Hyderabad, Telangana

IWWAGE at the 64th Annual Conference of the Indian Society of Labour Economics (ISLE) at Hyderabad, Telangana

 

IWWAGE participated in the 64th Annual Conference of the Indian Society of Labour Economics held in Hyderabad, Telangana in March 2024. The ISLE engagement included organizing a panel discussion on “care,” participation in a panel on time use methods as well as paper presentations by team members.

PANEL DISCUSSIONS

  1. Caring for the Caregivers: Pathways to Strengthen the Care Economy

29th March 2024

IWWAGE along with the Institute for Human Development organized a panel on “Caring for the Caregivers: Pathways to Strengthen the Care Economy” which highlighted pressing issues around care based on specific contexts, advocating for better working conditions and facilities including access to key amenities like toilets and transportation. The discussion delved into the scope and environment of care work, emphasizing the need for financing, enhanced investments, and adequate legal frameworks to protect the rights of care workers. The panel was chaired by Yamini Mishra (India Director, Mac Arthur Foundation) with introductory remarks by Sona Mitra (Research & Policy Director, IWWAGE). The panellists included Ritu Dewan (Visiting Professor, IHD), A K Shivkumar (Visiting Professor, IHD), Valeria Esquivel (Employment Policies and Gender Specialist, ILO), and Prabha Kotiswaran (Professor, King’s College London) with Dipa Sinha (Assistant Professor, Ambedkar University, Delhi) joining as a discussant. The session concluded with remarks from Radha Chellappa (Executive Director, IWWAGE) encapsulating the importance of the dialogue and its implications for policy and practice.

 

 

  1. Integrating Time Use Module with Labour Force Surveys

30th March 2024

Organized by the Centre For Women’s Development Studies (CWDS), New Delhi, this panel delved into the possibilities and challenges of integrating time use data into labour force surveys, a crucial step towards understanding the unseen aspects of labour and productivity. The panel was chaired by TCA Anant (Adjunct Professor, Tata Institute of Social Sciences). Sona Mitra (Director – Policy and Research, IWWAGE) presented insights from a primary study that incorporated gendered activities and time-budget components. The esteemed panel was chaired by TCA Anant (Adjunct Professor, Tata Institute of Social Sciences) and also included the following experts: Padmini Swaminathan, Former Director, Madras Institute of Development Studies; G.C. Manna, (Professor, IHD India, Former Director General, CSO and NSSO) P.C. Mohanan (Chairman, Kerala State Statistical Commission), Kripa Ananthpur (Professor, Madras Institute of Development Studies) and Neetha N. (Professor, Centre for Women’s Development Studies).

 

PAPER PRESENTATIONS
1. Paper Title: “Informant bias’, a key factor behind underestimation of women’s work: Evidence from two IWWAGE surveys”
Authors: Sona Mitra, Bidisha Mondal, Prakriti Sharma and Aneek Choudhury
Summary: Using two primary surveys, the paper assessed the ‘informant bias’ across various economic and non-economic participation of working-age women and further investigated how it varied across the demographic and socio-economic characteristics of individuals and households.
2. Paper Title: How care responsibilities influence women’s labour force participation and the nature of their employment: Evidences from PLFS 2022-23
Author: Bidisha Mondal
Summary: Women belonging to households with childcare responsibilities are two times more likely to stay engaged in full-time domestic duties and thus stay out of the labourforce, as compared to women without childcare responsibilities. Moreover, when women with childcare responsibilities participate in the labourforce, they are more likely to be engaged in non-remunerative opportunities like unpaid family work probably due to the flexibility these types of engagement provide. Elderly care responsibilities are found to restrain women’s labourforce participation decision and remunerative engagements marginally.
3. Paper Title: “Formalising Care Economy will have Far-Reaching Implications for Women’s Employment ”
Authors: Mridusmita Bordoloi (IWWAGE), Prof. Rajshree Bedamatta, IIT Guwahati
Summary: This paper defines the care sector and the care workforce in India, based on the definition suggested by International Labour Organisation (ILO), using unit level data from PLFS, 2022-23, and explores the characteristics of the care workers. The paper argues that if the care sector can be developed further and formalised, it can have far-reaching implications. It will not only create new job opportunities in the economy for individuals across gender, but can also work as an enabler in women’s labour market participation, which is significantly low at present.

 

Vidhi Singh
Vidhi Singh

Research Associate

Vidhi holds a Master’s degree in Public Policy and Governance from Azim Premji University, Bengaluru. She has previously interned with SEWA Bharat and PRS Legislative Research. Before joining IWWAGE as a Research Associate, she was working in the capacity of a Research Analyst in a private consulting firm based out of Lucknow. In this role, she was involved in monitoring and evaluation research studies at the intersection of gender and health. From her schooling years, she has been active in advocating for gender rights and wants to continue working in the domain. Her areas of interest primarily include intersections of gender and data. Additionally, she describes herself as an avid consumer of Hindi cinema and is very highly influenced by the actor Shah Rukh Khan.

Capturing Women’s Work Through Time Use Surveys: Implications for Policy

Capturing Women’s Work Through Time Use Surveys: Implications for Policy

Dr. Ellina Samantroy, Fellow at VV Giri National Labour Institute, joined us for our seminar series on April 22nd, 2024 to discuss “Capturing Women’s Work Through Time Use Surveys and Further Implications for Policy Making. Dr. Samantroy laid the context by highlighting two alarming issues: the gender gap between men and women and the low participation of women in the job market. This is substantiated when we look at the figures in 2023, where 48.7% of women participated in the labor market as compared to 73% of men.

 

Women’s work participation was continuously decreasing since 2004-05 and then it started increasing after 2017-18. This increase can be attributed to the increased proportion of the self-employed workforce. The question now remains understanding the concentration of self-employed workforce across occupations and sectors. This can be clearly identified by using TUS (Time Use Survey) data.

 

Highlights from Dr. Samantroy’s seminar are shared below:

 

Background of TUS:

TUS is a quantitative summary of how individuals allocate their time over a specified time period- typically over 24 hours in a day or over the 7 days of a week on different activities and how much time they spend on each of these activities. Further, it diversifies activities into three categories: SNA activities (activities that fall within the production boundary of the UN System of National Accounts), non-SNA activities (activities which are not included in national accounts but are covered under the General Production boundary and include delegable production of services) and personal services (non-delegable services eg. sleeping, watching TV, etc.). TUS sheds light on the specific activities the individuals in the reference population are engaged in. It also talks about the time spent on doing certain activities like, average number of hours in a day spent on travelling and unpaid domestic work among other activities.

 

Shift from NSSO to TUS:

  1. Women’s work has not been documented effectively in NSSO surveys as it provides generalized answers, not delving deeply into certain probing questions. NSSO data does not provide answers for restricted women’s participation based on geographical location. Also, there is a lack of occupational segregation in the survey.
  2. TUS focuses on capturing unpaid domestic activity and other non-market activities.
  3. Additionally it provides information on multiple and simultaneous activities and some other insights using context variables. These variables look at details of the activity, specifically looking into the location, presence of other people when the activity occurred, beneficiary perception, and monetary motivation behind the activity.
  4. TUS gives visibility to the care economy, captures time stress, and improves workforce estimates along with throwing light on the scattered and sporadic nature of informal work. It helps in understanding the percentage of time spent on unpaid domestic and care work by sex, age group, caste, religious group, and location wise.

 

Highlights from National TUS 2019:

They have coded 9 activities under TUS.

  1. Participation rates of women workers in unpaid domestic services for household members are 94.5% and 87.9% in rural and urban areas respectively. Compared to men workers, participation rates are 33.7% and 24.6% in rural and urban areas respectively.
  2. The average time spent by women workers on unpaid domestic services for household members are 4.1 hours and 3.6 hours in rural and urban areas respectively. On the other hand, the average time spent by male workers on unpaid domestic services for household members are 1.6 hours and 1.5 hours in rural and urban areas respectively.
  3. Under the unpaid domestic services, women are involved in care and maintenance of textiles, footwear, food and meals preparation and cleaning and maintenance of surroundings across both rural and urban areas.
  4. The average time spent by women in unpaid domestic work is around 2.5 hours, primarily in food and meal preparation. Digging deep into unpaid caregiving services, around 20-23% of women are engaged in childcare and instruction across rural and urban areas. Additionally, the average time spent on unpaid caregiving services, specifically in childcare and instruction is around 1.7 hours across both rural and urban areas for women.

 

Limitations of TUS:

  1. Inadequate capturing of informal work
  2. Lack of harmonization with international classification
  3. Methodological limitations
  4. Too expensive

 

Recommendations:

  1. Addressing self-employment through TUS
  2. Addressing the concerns of marginalized communities across geographical regions
  3. Capacity building of stakeholders
  4. Mainstreaming TUS
  5. Need for revisiting and sharpening the use of context variables

 

If you would like to see the presentation, please visit the link here.

Incase you missed the online seminar, you may view it here.

 

Women’s control over their economic resources: Evidence from NFHS 5

Economic violence refers to any act or behavior causing economic harm to an individual and generally involves coercive control of economic resources of a person . It is one of the many interconnected forms of violence often taking place at the domestic realm in the context of intimate relationships leading to adverse consequences on mental, physical, and financial well-being as well as other development opportunities of the victims and their dependents both in the short and long-term. This blog attempts to provide estimates of the incidence of economic violence in India based on the National Family Health Survey 5, conducted during 2019-21.

Although economic violence is now legally recognized in a few of the European Union member states like Belgium, Bulgaria, Croatia, Lithuania, Hungary, Malta, Romania, Slovenia and Slovakia and it is a commonly used tactic by perpetrators for coercive control over the victims and co-occurs with other forms of violence, it is less talked about and underreported. The under-reporting arises majorly due to the general lack of awareness about what constitutes economic violence. The gap in empirical understanding of economic violence and the factors influencing the occurrence of this form of violence also leads to a vacuum in the policy-making space through prohibitive measures to support the survivors.

There are majorly three types of economic violence categorized by the European Institute of Gender Equality: economic control which includes preventing, limiting, or controlling a victim’s finances and related decision-making; economic exploitation which means using the economic resources of a victim to the abuser’s advantage; and economic sabotage which involves preventing a victim from pursuing, obtaining, or maintaining employment and/or education. However, the identified indicators from NFHS 5 allows us to explore only the extent of economic control and economic exploitation experienced by women in India.

According to NFHS 5, 49% of women, aged between 15 to 49 years, don’t have the decision-making power on how to spend their own money. The situation is relatively better for urban women as compared to their rural counterparts since the share is relatively lower at 43% for urban women and 51% for rural women. This is because urban women face less restrictive socio-cultural norms and enjoy better agency as compared to rural women. Also, there exists vast state-wise variation when it comes to women’s control over their own money. The three states with highest shares of women with decision-making power over their own money, are Himachal Pradesh, West Bengal, and Karnataka with the shares being 62%, 61%, and 59% respectively, whereas the worst performing states are Telangana, Andhra Pradesh and Assam with the shares being 32%, 29% and 28% respectively. The state-wise patterns indicate varying levels of women’s agency and the associated socio-cultural norms across the states. 

The control over one’s own money also varies among women in different age-cohorts, with the control steadily increasing with age. While only 35% women in the age-cohort of 15-19 years can decide how to spend their own money, this share rises to 59% for women in the age-cohort of 45-49 years. As women transition from young adulthood to middle age, their growing social network often make them collectively empowered, help them challenge the restrictive social norms and exercise better agency. Moreover, financial distress has been a contributing factor to the prevalence of economic violence as 54% women in the ‘poorest quintile’ reported not having the control over their own financial resources. This percentage goes down among women belonging to upper expenditure quintiles.

The partner pay gap- the difference in earnings between the partners – turns out to be a significant influencer of economic violence as women’s relative earning position tends to determine the interpersonal power dynamics within the couple. Around 65% of women who earn equal to their husbands or more than their husbands, are found to have command on how they spend their own money, and the share is 59% for those earning less than their male spouses. The findings from NFHS 5 reveal a U-shaped relationship between women’s control over their own economic resources and their education level. This implies that women at very low levels of education have better command over their economic resources as compared to women in secondary/higher-secondary levels of education; the control increases for women with graduation/post-graduation levels of education. As NFHS 5 reveals, this too can be explained by the partner pay gap. According to the data, the share of women earning more or less similar to their male spouses is high among women with lower levels of education and thus on average they enjoy better command over their economic resources. Women at secondary/higher secondary levels of education, earn much lower than their spouses on average, leading to lower agency and less control on their own economic resources, and again the ‘partner pay gap’ declines for women with tertiary level of education, leading to better agency. Additionally, as the education levels of the male spouses increases, the females are found to enjoy more decision-making power over their own earnings as educated men are supposed to conform to more gender-equal norms. Approximately 50% of women whose male spouses received no education, don’t have any command over their own money. This share goes down to 36% for women with male partners educated above the secondary level.

Another commonly found example of financial abuse is the male spouse depleting the wife’s savings without her knowledge/consent. According to NFHS 5, around 44% of women stated that they have a bank savings account of their own, but they are not in control of the money in it. This share again varies by education levels, with the share being 44% for women without any education level and the share declining to 36% for those with education level above secondary level, reflecting higher agency among educated women.

Despite the pervasiveness of low agency of women when it comes to controlling their own incomes and financial resources, the recognition of it is lower. This lack of recognition is often due to not acknowledging the exclusion as another form of discrimination and assault on women. This points to the need for generating more evidence and awareness around the various forms of exclusion both in the legal and scholarly spheres. Criminalizing economic abuse would help to send a firm message about the unacceptability of this form of violence. Allocating significant budgetary resources for training legal professionals for increasing their capacity to recognize, investigate, and prosecute economic violence would be needed to address and prevent its occurrence. Along with this, the access to the services to combat familial violence must be provided to its victims too. Lastly, we need more sophisticated surveys capturing the various dimensions of economic violence to fully comprehend the subject.

 

This blog is written by Aneek Choudhury, Research Associate and Bidisha Mondal, Research Fellow at IWWAGE.

 

Picture credit: Paula Bronstein/Getty Images/Images of Empowerment

Caring for the Caregivers: Strengthening Voices of Care in the Global South

Panel discussion titled, “Caring for the Caregivers: Strengthening Voices of Care in the Global South” at the NGO Committee on the Status of Women (NGO CSW/NY)

IWWAGE along with its partner Observer Research Foundation (ORF) organized a panel discussion titled, “Caring for the Caregivers: Strengthening Voices of Care in the Global South” at the NGO CSW68 event on March 15th 2024. Our speakers spanned different geographies enriching the discussion. The CSW68 gathering provided a strong platform to carry forward global efforts to mainstream and meaningfully embed the care agenda in macroeconomic planning.th.

Shamika Ravi, Member, Economic Advisory Council to the Prime Minister (EAC-PM) set the context by emphasizing the critical nature of care work and the need to support women who are disproportionately affected by caregiving responsibilities especially as they explore work opportunities outside the household. She shared insights about the evolution of care-related policies in India highlighting the intention to make care a fundamental part of the economy. She also shed light on the fact that the Ministry of Women and Child Development has made serious efforts in the direction of care economy indicating the commitment in foregrounding “care”.

 

 

Taking the discussion forward, Sona Mitra, Director- Research and Policy, IWWAGE elaborated on the advocacy efforts aimed at centering care in policy discussions. She stressed on the importance of focusing on financing for care. Emphasizing on the need for investment strategies, she highlighted the need for identifying the different components of care and exploring different financing & investment channels that are necessary for effective care delivery.
The moderator, Sunaina Kumar, Senior Fellow, Observer Research Foundation took forward points made by Shamika Ravi by highlighting the increased demand for care due to globally shifting demographic trends, increasing young and aging populations, along with the emergence of more nuclear families. She underscored the intrinsic and instrumental value of caregiving and is is at the heart of human societies, families, and the future of our economies.

 

 

Speaking of the Brazilian experience, Luciana Servo, President, I-AER Institute of Applied Economic Research discussed the need for advocacy around care in the country and the importance of bringing in the care workers as stakeholders in the process of policy making. She focussed on the need for addressing lingering gender norms and advocating for policy innovation and international cooperation to address financing challenges. She also talked about how the challenges are bigger and the opportunities are smaller in terms of financing and that’s where the role of international cooperation and multilateralism is important. It was also inspiring to hear that Brazil is thinking of bringing in the care workers as stakeholders in the process of policy making.

 

 

Gloria Lang’at emphasized the universal importance of care while highlighting its under-resourced nature, particularly in terms of investment and caregiver remuneration. She also spoke of the need for highlighting the role of the community in the care economy as well as greater inclusion of geriatric care and care for the disabled in these discussions.

Brett Weisel, Global Policy and Advocacy Lead, Early Childhood Development Action Network (ECDAN) stressed on the interconnectedness of outcomes for women and children, advocating for purposeful linkage of agendas to form powerful political coalitions. He also emphasized the importance of gender-transformative and child-centered systems and grassroots advocacy to support caregivers effectively.

For those interested, a recording of the session is available for viewing.: https://lnkd.in/eVJuQ9rH

Promoting Women in Leadership for Improving Economic Outcomes, IWWAGE at Access Livelihoods Summit 2024
Promoting Women in Leadership for Improving Economic Outcomes, IWWAGE at Access Livelihoods Summit 2024

 

 

During the Livelihoods India Summit 2024, Institute for What Works to Advance Gender Equality (IWWAGE) organized a panel discussion session on Promoting Women in Leadership for Improving Economic Outcomes on January 18 in New Delhi. The session contributed to the current discourse on ‘women in leadership’, what it entails, highlighted measures that cover organizational strategies and best practices to accelerate women’s leadership.

 

The goal of ushering in women-led development requires concerted efforts on multiple fronts. Facilitating and enabling women in leadership positions can cause significant shifts in improving women’s economic outcomes using modern feminist methods.

 

The proportion of women in leadership roles is low in India. For example, a report by Dasra found that women’s workforce occupies only 18% of leadership roles in India’s healthcare sector, earning 34% less than their male counterparts. Another survey from Grant Thornton found that women hold 36% of senior management positions in mid-market companies in India. Creating an enabling ecosystem for women to transition into key decision making and leadership roles is critical not only from the point of view of diversity and inclusion but is also necessary for strengthening alternative forms of leadership that are starkly different from traditional approaches.

Enabling women leaders in politics, economics, finance, businesses, social sectors and so on, is crucial for institutionalizing gender-responsive mechanisms that cater to the needs of women in all sectors of the economy and facilitates in closing the rigid gender gaps. Women’s leadership has evidence of creating systems that operate to include and facilitate women not only in their productive spheres but adds to it by creating ‘caring’ spaces.

This panel aimed to contribute to the current discourse on ‘women in leadership’, what it entails, highlight measures that cover organizational strategies, market-based approaches and brings to the fore some of the existing knowledge and best practices from select sectors that accelerate women’s leadership.

 

Moderated by Sona Mitra, Principal Economist, IWWAGE

 

The Speakers were:

  1. Yamini Atmavilas – Udaiti Foundation
  2. Shagun Sabharwal, Co-impact
  3. Nayana Chowdhury, Breakthrough