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Magombiro’ in action at the Point of entry into the Complex

A Case of Mixed Land Uses at Gazaland

Smoke Coming from Rubber Moulding at Gazaland

An Example of Subdivision of Properties at Gazaland

Panel Beaters Working along Madzindadzi Road

Gas Welders Working along Madzindadzi Road

Background to the Study

Informal cities are growing at an unprecedented rate (International Monetary Fund (IMF), 2007; Mujumdar and Borbora, 2012; Uzhenyu 2015). The magnanimous extent of the informal sector in sub-Saharan Africa is evidenced by huge amounts of money circulating in this sector (Shah, 2012; Government of Zimbabwe (GoZ), 2014a; Murwira, 2014).

Problem Statement

The period during which the GoZ intended to produce comprehensive statistics on urban informality was characterized by scarcity, unreliability and incompleteness of data on urban informality (Dube and Chirisa, 2012). As such, the literature on urban informality is vast, disjointed, and rapidly expanding in different directions.

Objectives

  • Specific Research Objectives
  • The Research Question
  • Research Hypotheses

In this segment, six conjectural statements used as entry points in the study of informal trade in Harare are presented. Producers' views on the suggested tax measure are independent of the psychometric test performed.

Insights to Theory, Methodology, Policy and Practice

In terms of design, this study utilized a spatial geometric methodology to structure a multi-embedded situational study of three home industries in Harare. By compiling a geo-database of informal production in Harare, this study contributes to the overall goal of having complete data on urban informality requested by the GoZ as it provides an accurate and credible data profile.

Notes on Study Areas

This informal industrial site grew rapidly after independence, following the disappearance of colonial urban laws, which promoted urbanization, which was not supported by adequate formal employment. Growth was accelerated by job losses as a result of the Economic Structural Adjustment Program (ESAP) launched in the early 1990s.

Organisation of the Study

The first chapter sets the tone of the study by presenting the research problem, study objectives and a general framework of the study. Chapter eleven provides conclusions and recommendations, and then ties the knot by reviewing the research problem and discussing the achievement of the objectives set before the study.

Figure 1.1: Organisation of the Study (Researcher Compilation, 2016)
Figure 1.1: Organisation of the Study (Researcher Compilation, 2016)

Chapter Summary

User data needs in Zimbabwe are discussed in Chapter Four from institutional, legal and policy perspectives. The model of a data bank for the informal sector is described and clarified in the eighth chapter.

Introduction and Structure

Theoretical Perspectives on Urban Informality

  • Informal Sector Theories
  • Cluster Theory
  • Theory of Planned Behaviour
  • Institutional Theory

This suggests that the longevity and stability of the informal sector is theoretically questionable (Despres, 1988, Ntlhola, 2010; Onoshchenko, 2012). The formal sector benefits from low prices and availability of cheap, desperate labor in the informal sector.

Figure 2.1: Trade−off relationship between formal and informal sectors (Adapted from  Onoshchenko, 2012)
Figure 2.1: Trade−off relationship between formal and informal sectors (Adapted from Onoshchenko, 2012)

Empirical Evidence on Validity of Reviewed Theories

  • Dualistic Conception of an Economy (Despres, 1988)
  • Structural Conception of an Economy (Chakrabarti and Kundu, 2009)
  • Post−Colonial Conception of an Economy (Varley, 2013)
  • Spatiality and Clustering in Space (Kuah, 2002)
  • Psychographics and Behavioural Intentions of People (Armitage and Conner, 2001)
  • Interaction and Networking of People in Space (Mazongonda, 2016)

The duo therefore concluded that the expansion strategy is important because it determines which of the two sectors grows more than proportionally to the other. A review paper entitled 'Post colonializing informality?' on architectural perspective on urban informality with the aim of tracing the direction of the postcolonial critique (Varley, 2013).

The Link between Reviewed Theories and the Present Study: An Expose

Informal sector theories have improved the appreciation of the informal sector in terms of its past, present and projected structure. Furthermore, psychographics of producers in light of the informal sector income tax proposal was used to predict their resulting intention and behavioral response.

Disciplinary Perspectives on Informality

  • The Economic Aspect of Informality
  • The Sociological Aspect of Informality
  • The Business Aspect of Informality
  • The Planning and Architectural Aspect of Informality
  • The Psychological Aspect of Informality

Anticipating such behavioral responses is essential in designing effective tax strategy as the government of Zimbabwe aims to collect taxes in the informal sector. A follow-up study on informal trade in Harare after the OM found that "the involvement of households in informal economies is not only a headache for local authorities in developing countries, but also a heartache for the households themselves" (Chirisa, 2009a, p. 257). .

Trending Concepts in Urban Informality

  • Idiom of Urbanisation (Roy, 2009)
  • Gray Spaces (Yiftachel, 2009)
  • Themes Emanating from Trending Concepts in Urban Informality

The settlements, their inhabitants and the activities involved in part indicate “gray spaces” “positioned between the “whiteness” of legality/approval/security and the “blackness” of eviction/destruction/death” (Yiftachel, 2009, p. 88). It can be assumed that the "grey spaces" are neither formal nor informal as they lie between two extremes, and planning is responsible for this.

Conceptualising Informality

Informal operators may easily tend to adapt to the demands of the powerful elite because their activities will be partially regulated. Part of the evidence revealed that Assam has been called "mini India" because a number of people migrate to this region in search of employment.

Figure 2.3: Continuum Scale Defining Informality (IADB, 2006; Yiftachel, 2009)
Figure 2.3: Continuum Scale Defining Informality (IADB, 2006; Yiftachel, 2009)

Brief Review of Planning Law

  • The Coming in of Planning Law
  • Historical Justification of Town Planning Goals
  • Informal Manufacturing and Planning Law: A Normative Perspective

The next chapter provides a normative review of the planning act's provisions on informal manufacturing. The previous sections of this chapter have dissected the informal trade sector with a view to improving the appreciation of the complexities it faces.

Fundamentals of Spatial Statistics

  • Brief Historical Introduction of Spatial Statistics
  • Data Needs for Spatial Point Pattern
  • Application of Spatial Point Pattern

These four requirements form the basis of the sampling design in spatial point pattern analysis. In this section, an instrumental case is presented where the spatial point pattern was used to analyze analysis measurements.

Gap Analysis

Access to up-to-date, complete, authentic and reliable spatial and relational data on informality is expected to be critical for policy formulation. However, it can be seen that most accessible scholarly efforts have focused on the fundamental problem of analyzing case-based data on urban informality for better understanding, but have largely been non-spatial (Chirisa a; 2009b; 2013; Dube and Chirisa, 2012; Muponda, 2012; Jerie, 2013; Uzhenyu, 2015).

Lessons Drawn from Previous Studies by Others

Consequences of the findings of the study on spatial law with special emphasis on subdivisions and consolidations, mag. The Information Review of Planning Law has identified the main pillars of planning law which will serve as a lens through which to view the findings of the study.

Figure 2.4: Summary of Literature Review (Researcher’s Compilation, 2018)
Figure 2.4: Summary of Literature Review (Researcher’s Compilation, 2018)

Chapter Summary

Introduction

Research Paradigm and Philosophy

Due to the unstructured nature of the informal trading sector, the motivating and restraining forces of informality go beyond what appears at first glance (Shah, 2012). The use of mixed methods is justified because it helps to bring out different perspectives and thereby provide a complete picture and deeper meaning of the phenomenon under investigation (Hakim, 2000; Johnson and Onwuegbuzie, 2004; Johnson et al, 2007).

Research Design

The first part of the research lasted about two years, from November 2012 to December 2014, before the start of the study. This was followed by a second part of approximately two years, from January 2015 to February 2017, after the start of the study.

Figure 3.1: Multiple-Embedded Case Study Strategy (Adapted from Yin, 2003; Johnson and  Onwuegbuzie, 2004)
Figure 3.1: Multiple-Embedded Case Study Strategy (Adapted from Yin, 2003; Johnson and Onwuegbuzie, 2004)

Sources of Data Used to Answer the Research Question

Population and Sampling Procedure

  • Selecting Informal Manufacturing
  • Selecting Study Sites
  • Selecting Interviewees during the Survey: Informal Operators
  • Selecting Key Respondents during Ethnography: Informal Operators
  • Selecting Key Respondents: End Users and Practicing Planners

Site key respondents were established through references to one person from at least five operators in a home industry. Key respondents were taken from ZIMRA, banks, microfinance institutions, Harare City Council and MSME.

Figure 3.4: Location of Study Areas (Google Map, 2016 on Google Earth Extract)
Figure 3.4: Location of Study Areas (Google Map, 2016 on Google Earth Extract)

Data Collection Methods, Tools and Techniques

  • Observation and Photography
  • In−depth Interviews with Key Respiondents
  • Tailor−Made Mobile−Based Geo−Application
  • Content Analysis

In the two years before the start of the current study, the observation was unstructured and unsystematic. The RTCPA [Chapter 29:12], SI 216 (use group regulations) of 1994 and the master plan for the City of Harare were analyzed to better understand the spatial requirements of the informal sector.

Data Organisation and Analysis

  • Organisation and Analysis of Qualitative Data
  • Organisation and Analysis of Quantitative Data
  • Organisation and Analysis of Spatial Data

The examination of spatial data was exploratory and based on the use of a number of packages to extract insights from the data. The Spatstat R package served as a key tool in reviewing the spatial data captured by the mobile geo-application.

Figure 3.5: Collective Word Cloud and Word Frequencies (Study Finding, 2017)
Figure 3.5: Collective Word Cloud and Word Frequencies (Study Finding, 2017)

Objective−Approach Matrix

A customized GPS-based android geo-application was used to capture the coordinates and spatial pattern of informal production activities. Data on knowledge, attitudes and perceptions of informal producers on urban planning principles and statutory business requirements were captured using scenario-based questions on a scale of 1 to 5.

Validity and Reliability

On the first day of the survey (in Gazala), extreme outcrops were observed with a maximum reach of 98.4 meters. The heat map in Figure 3.8 shows that on the first day of the survey, the two enumerators' data collection devices reported geographic coordinates that had a lower level of accuracy.

Figure 3.6: Home Industry by GPS level of precision (Field Experiences, 2017)
Figure 3.6: Home Industry by GPS level of precision (Field Experiences, 2017)

Negotiating Access and Ethical Considerations

A reasonable amount of time (approximately 3 months) was lost to seek permission from the Ministry of Finance and Economic Development (MFED) following the Minister's call to develop a national database of the informal trade sector. One of them was to let the participants know that being part of the research was optional and not mandatory.

Lessons Learnt During Data Gathering and Analysis

  • Switching Sampling Windows
  • Mixed Reactions by Respondents
  • Politics of Space in the Informal Sector
  • Multi−Level Facilitation

The researcher quickly contacted Mupostori (a key participant) to mobilize producers in Gazaland as they waited for the enumeration team on the second day of the study. An instrumental case in the Siyaso home industry was a respondent who asked the question "what kind of study are you using mobile devices to collect data; we are familiar with the 'pen and paper' way of collecting data?" The answer to that and stuff like that.

Chapter Summary

As explained earlier in this chapter, a wide range of activities are housed in a home industry, so it takes quite a long time for someone to find an interesting activity if they are not familiar with the area (Muponda, 2012). Thanks to the help of local facilitators, it was so easy and fast to find manufacturers working in home industries.

Introduction

Background of Informal Enterprise Development in Zimbabwe

Gradually gripping socio-economic upheavals in the late 1980s led the government to seek a conditional loan from the International Monetary Fund (IMF). The beginning of the new millennium was marked by the historic Fast Track Land Resettlement Program (FTLRP), which led to further mass exodus of industrialists, leaving people unemployed (Mabhena, 2012).

Table 4.1: Informal Enterprise Development in Zimbabwe (Adapted from Weketwe, 1989;
Table 4.1: Informal Enterprise Development in Zimbabwe (Adapted from Weketwe, 1989;

Policy Perspective Data Needs

It is against this realization that the government called for a national informal sector database in 2014. In the same vein, it is argued that very little is known about its composition and size (Losby et al. 2002; Duminy, 2011). .

Legal Perspective Data Needs

Providing such data makes it easy to analyze the intensity of producers while providing the precise number of producers working in the home industry. In addition, the new investigation will try to determine whether activities in the field of manufacturing in the home industry are permitted by law.

Institutional Perspective Data Needs

One article reported that the informal trade sector in Zimbabwe is the 6th largest in Africa. One newspaper report reported that NSSA is finalizing the scheme for the informal trade sector (The Independent, 2017).

Table 4.2: Relative Proportions of the Size of Informal Operations (Adapted from Finscope,  2012)
Table 4.2: Relative Proportions of the Size of Informal Operations (Adapted from Finscope, 2012)

Chapter Summary

Access to accurate and up-to-date information on the employment structure in the informal trade sector is part of enabling NSSA to finalize their plan from an informed standpoint. It is recommended that authorities should focus their efforts on accommodating, encouraging and supporting the informal trading sector and not controlling, repressing and ignoring it (Zimbabweland, 2016).

Introduction

All this is to demonstrate the presence of operational propriety which, when activated, will facilitate tax collection.

Intensity and Density of Manufacturers in Space

𝐾-mean aggregation of the three sites generated 12 quadrats where 5 of them have no producers and 3 have the highest concentration of producers. Also worth noting is the observation that the heatmap in Figure 5.2 merges Gazaland and the Complex as they are spatially inseparable.

Figure 5.2: Collective Density of Manufacturers (Study Findings, 2017)
Figure 5.2: Collective Density of Manufacturers (Study Findings, 2017)

Type of Premises

  • Sidewalk and Public Spaces
  • Within Designated Properties
  • Summative Analysis of Type of Premises

Political affiliation, subletting, proprietary ownership, and cooperative ownership are the forms of ownership rights experienced by manufacturers. Interpreting Table 5.1, there are very few cases where manufacturers work on sidewalks and public spaces.

Table 5.1: Type of Premises used by Manufacturers (Study Findings, 2017)
Table 5.1: Type of Premises used by Manufacturers (Study Findings, 2017)

Significance of Social Ties Cementing Relationships

Reflections on Natural Advantage: An Insight on Sharing of Tools

Of note, for the relationships between geographic location and toolkit ownership and product type and toolkit ownership, a Pearson chi-square test was performed for both aggregate and site-specific combinations using 2 × 2 contingency tables. A test of whether the type of tools used depends on whether an individual has a full set of tools yielded an overall chi-square value of 1.1693, which fell below the prescribed chi-square value of 2.920 at a significance level of 0.05 and 2 degrees of freedom.

Figure 5.5: Aggregate Facts on Tools Ownership and Type of Tools (Study Findings, 2017)
Figure 5.5: Aggregate Facts on Tools Ownership and Type of Tools (Study Findings, 2017)

Reflections on Knowledge Sharing

Due to undercapitalization, 41.4% of the manufacturers cannot afford to buy power tools, so they only use hand tools. A further combinatorial examination of the data clarified issues regarding the multi-task and multi-skill capabilities acquired by the informal producers since starting work in home industries studied.

Table 5.3: Type of Industrial Training Received by Manufacturers (Study Findings, 2017)
Table 5.3: Type of Industrial Training Received by Manufacturers (Study Findings, 2017)

Consultation−Information Flows (Jobholder versus Expert)

Crucially to note is the fact that regardless of the “type and level of responsibility,” the position holder retains authority. As in the formal sector, the idea in informal business is somewhat similar, with some deviations.

Figure 5.10: Forms of Consultation in Gazaland (Study Findings, 2015)
Figure 5.10: Forms of Consultation in Gazaland (Study Findings, 2015)

Issues of Workmanship

The cornucopia view holds that most people are better placed to generate ideas in general and in the face of a crisis. None of the manufacturers who participated in the survey are proud owners of a full toolbox, but share individual tools.

Local Employment Creation

These percentages are considered significant because the remaining percentages of producers working in cottage industries are spread over the entire spatial extent of Harare. A rough overview of the spatial distribution of the settlements of producers that do not lie within the quarters of cottage industries is given in Figure 5.11.

Figure 5.11: The Sphere of Influence of Home Industries (Study Findings, 2017)
Figure 5.11: The Sphere of Influence of Home Industries (Study Findings, 2017)

Implications of Intensity and Interaction of Manufacturers

Using a situational study of the complex, it was found that the informal trade sector in Zimbabwe revolves around four myths (Luebker, 2008a; 2008b; Muponda, 2012). Through strong social ties, informal operators share and maintain a common database of their customers.

Chapter Summary

Introduction

This calls for further research to provide hard data on the relationship between psychographic characteristics of informal actors and urban planning principles. The core of this section is to use the spatial statistical strategy to test whether the psychographic characteristics of informal operators depend on their understanding of city principles, as psychographic characteristics “vary between behavior and situation” (Ajzen, 1991, p. 188 ).

Premise and Organisation of this Chapter

At one end, collective results were determined using a chi-square threshold value of 15.507 corresponding to 8 degrees of freedom and 0.05 significance level. On the other hand, site-specific results were determined using a chi-square threshold value of 9.488 corresponding to 4 degrees of freedom and 0.05 significance level.

Knowledge–Town Planning Relationship

For Siyaso, producers' knowledge does not rely on their appreciation of the safety, order and health principles, given their chi-square values ​​which are all below 9.448 threshold value. Knowledge of manufacturers involved in the Complex does not rely on their appreciation of safety, order and comfort ideology given their chi-square values ​​of and 4.593 respectively which are all below 9.448 threshold value.

Table 6.1: Knowledge−Town Planning Relationship (Study Findings, 2017)
Table 6.1: Knowledge−Town Planning Relationship (Study Findings, 2017)

Attitude−Town Planning Relationship

For example, an observed reality in cottage industries is that milling dust circulates freely in the air to food prepared adjacent to manufacturing activities. This can be a potential health hazard because some mill dust can contain toxic substances with long-term negative effects.

Perception−Town Planning Relationship

For the three relationships perception-safety, perception-order and perception-convenience, the control beliefs of individual manufacturers are not shaped or influenced by their appreciation of urban planning principles (𝜒2 is less than 9.448). In contrast, all other relationships, regardless of the sites, individual producers' controlling beliefs contribute less than 1% variation in their practice of principles of urban planning.

Discussion on Attainment of Chapter’s Aim

It is also important to note that the collective and location-specific results of the perception - principle of urban planning and attitude - urban planning relationships were found to be generally weak. All three vignettes summarized in psychographics (knowledge, perception and attitude) revealed a very weak relationship with the principles of city planning.

Chapter Summary

This is against Armitage and Conner's (2001) conclusion that knowledge schema is generally a poor predictor of behavior compared to PBC and attitude.

Introduction

All study participants had to respond to a psychometric test using six key questions about the proposal to tax the informal sector. They tested manufacturers' attitudes, knowledge and perceptions in view of the proposal to tax the informal trade sector, and their subsequent intention and behavior towards that initiative.

Lead−in Summary of Responses

Approximately, 50% of producers have an assessment of the motives why the tax is collected from citizens and business operators. Some questions were testing the attitude, some knowledge and some perceptions of producers towards the proposal for taxing the informal trade sector.

Figure 7.1: Collective Responses to the Proposed Tax Measure (Study Findings, 2017)
Figure 7.1: Collective Responses to the Proposed Tax Measure (Study Findings, 2017)

Characterising Collective Responses by Informal Manufacturers

After the result of the population coherence test, this chapter provides only the response of men's behavior to the suggested tax measure. A prescribed chi-square value of 9.488 was set at the 5% level of significance and 4 degrees of freedom.

Predicted Behaviour of Manufacturers: Focus on Gazaland

This stems from the point that such businesses are near the right end (compliance) of the continuum scale explained in Figure 2.3. The local government and ZIMRA are on the losing side because more than 50% of the manufacturers do not pay rent to the local government and a large number of them produce a meager amount of money which is likely to fall below the tax threshold when one is introduced.

Predicted Behaviour of Manufacturers: Focus on the Complex

Touts, called "Magombiro" in the area, team up and compete with each other to escort customers into the complex. In terms of property rights, the small informal traders in the complex are all on leased premises.

Predicted Behaviour of Manufacturers: Focus on Siyaso

For a guaranteed security of ownership one has to swear allegiance to the ruling party, because the division of estates takes place within party boundaries. The evidence gathered indicated that the ruling party influences the day-to-day activities of manufacturers in Siyaso.

Figure 7.4: Word Cloud and Frequencies for Siyaso (Study Findings, 2017)
Figure 7.4: Word Cloud and Frequencies for Siyaso (Study Findings, 2017)

Chapter Summary

Interpreting the words of this welder, they are forced to shut down and attend when there is a function of the ruling party or government, regardless of whether they have clients to attend or not. The previous sections also showed that there is a lack of transparency and openness in tax-related matters.

Introduction

Since a database is a repository of huge amounts of data used by various stakeholders, the Application Programming Interface (API) section discusses the roles and data privileges of various end users.

Contextualising the Database Model

A one-to-one relationship describes one input entity leading to one output entity, while a one-. Many-to-many relationships denote a scenario where many input entities yield many output entities, while many-to-one relationship describes a scenario where many input entities point to one output entity.

Geo−Political Data

  • Provinces in Zimbabwe
  • Districts in Zimbabwe
  • Wards in Harare
  • Location of Study Sites

As shown in Figure 8-2, Bulawayo and Harare serve as cities, counties, and districts in Zimbabwe. City code) | | district name | The name of the department, which is actually a number. province | The name of the province | | district | The type of neighborhood | | alt_name | Alternate neighborhood name. district pc | P-Code for the district.

Table 8.1: Provinces in Zimbabwe (Researcher’s Analysis, 2018)
Table 8.1: Provinces in Zimbabwe (Researcher’s Analysis, 2018)

Demographic Data

Specific Data about Informal Manufacturers in Harare

For example, producers working in Gazala and Complex exchange services and goods when they are far from each other. The bright colors indicate the uncontrolled growth of domestic industries leading to the exits and inherent inseparability of Gazala and the complex.

Figure 8.6: Data about Manufacturers working in Siyaso (Study Findings, 2017 on Google  Earth Extract)
Figure 8.6: Data about Manufacturers working in Siyaso (Study Findings, 2017 on Google Earth Extract)

Metadata and Privacy

Open Application Programming Interface (API)

While generally viewing the content of the database, level 2 users can add some data to the existing data. The highest level of access is level 4, which gives users the privilege to delete selected content of database content.

Figure 8.9: Database Privilege ‘Onion’ (Researcher’s Analysis, 2017)
Figure 8.9: Database Privilege ‘Onion’ (Researcher’s Analysis, 2017)

Chapter Summary

For example, a level 2 user has all the privileges of a level 1 user, a level 3 user has all the privileges of level 1 and level 2 users, and so on.

Introduction

As will be explained in detail in this chapter, some production activities in the sampling windows take place along carriageways, roadsides and riverbanks. Finer details on the implications of observed and reported realities in cottage industries form the subject of this chapter.

Premise and Organisation of this Chapter

Two of the assessors advised the use of case law in analyzing issues with a greater leaning towards planning law. As such, this chapter draws on direct quotations from statutes on the point of law, contextual application of case law on fact, photo and cartographic narratives in the analysis of the relationship between urban planning and informal production in Harare.

Land Parcelling and Compartmentalisation Practices

To the left of the maker in Plate 9.2b is a piece of an old dirt machine tire used to cut rubber used in repairing engine and transmission mounts. Jurisprudence shows that urban planning must take into account the interests of the residents of the area in question.

Implications on Master and Local Planning

The LPA can also remove, destroy or terminate targeted activities in accordance with section 35(1) after following what is provided by section 35(2) of the same Act. Applying this provision to the gigantic force of urban informality, it is reasonable to undertake a new search of the planning area to determine the extent of informality (in this case) and to consider the redevelopment of the area to accommodate the growing population.

Wake Up to the Dawn of Questionable Enforcement

Implications of Riverside Manufacturing

A Case for Environmental Rights

Issues Relating to Public Participation: Provision for Appeal

Mirroring Informal Manufacturing on Planning Law: A Conceptual Model

Chapter Summary

Introduction

Significance of Ethnographic Data

Provision of Spatial Statistical Data

Provision of Comprehensive Data

Scalability of the Data Model

From Data to Insights

Exposition of Some Town Planning Issues

Chapter Summary

Introduction

Revisiting the Research Problem

Discussion on Attainment of Objectives

Revisiting Conjectural Statements

Recommendations

Future and Further Research

Chapter Summary

Gambar

Figure 1.1: Organisation of the Study (Researcher Compilation, 2016)
Figure 2.1: Trade−off relationship between formal and informal sectors (Adapted from  Onoshchenko, 2012)
Table 2.1: Summary of Small Manufacturing Clusters Across the World (Furuya et al. 2006)
Figure 2.2: Theory of Planned Behaviour (Adapted from Armitage and Conner, 2001)
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