CHAPTER ONE

INTRODUCTION

1.1 Background to the Study

According to the World Bank’s Global Economic Prospects (2019), global growth is expected to rise by 2.7% if the manufacturing and trade sectors improve. For example, developed nations such as Switzerland, China, and Hong Kong continue to prioritize economic growth. As a result, their performance is evident not only financially but also socially and physically. Furthermore, these countries maintain economic diversification and social inclusion while relying minimally on foreign exchange, demonstrating strong overall performance.

Historically, the Chinese Revolution of 1949 led to a total restructuring of the nation, causing temporary loss of lives and property. However, this restructuring paved the way for China’s current economic and technological prowess. Today, China has a population exceeding one billion and an economy worth over $8 trillion per year (Alpha Story, 2016). Similarly, other developed countries such as Switzerland, Hong Kong, Britain, and the United States exhibit strong economic performance, proving that strategic planning and long-term vision are key drivers of success.

In contrast, Africa remains the world’s poorest continent, with a combined GDP less than one-third of that of the United States (IMF, 2013). Moreover, Africa’s economy relies heavily on trade, manufacturing, and agriculture, making it vulnerable to border closures and trade disruptions. For instance, the closure of Nigeria’s borders to agro-based imports was intended to boost domestic manufacturing, yet such measures only partially improved economic performance. Additionally, Africa struggles with corruption, political instability, and inadequate infrastructure, which negatively affect economic growth.

The Nigerian economy, in particular, faces significant challenges. For example, the country’s currency has devalued, and the manufacturing sector, which should be a key driver of growth, shows poor performance. This poor performance can largely be attributed to outdated equipment, lack of investment, and limited access to modern technology. Consequently, strategic planning becomes a crucial tool for addressing these challenges.

Warner (1977) emphasized that controlling firm failures is essential for sustainable economic growth. In line with this, the Nigerian manufacturing sector has experienced shocks and distress in recent years, with more manufacturing companies failing than banking institutions. Furthermore, poor performance assessment practices exacerbate these challenges. Haider et al. (2014) argued that performance evaluation must be simple, well-defined, and comprehensive. Therefore, improving performance requires both practical solutions and strategic planning.

In 2017, the Nigerian government introduced reforms, including the four-year Economic Recovery and Growth Plan (ERGP), aimed at stabilizing the macroeconomic environment and ensuring food security. Moreover, phase one of the ERGP focused on investment in food manufacturing, textiles, and overall industrial development. However, the effect of these reforms on manufacturing performance has been limited, demonstrating the need for better implementation and strategic approaches.

Strategic planning has been identified as a key factor in addressing poor performance. Bryson (2011) defines strategic planning as a disciplined effort to make fundamental decisions that guide organizational actions. Moreover, Albrechts, Balducci, and Hillier (2016) note that strategic planning is applicable to all organizations, linking planning to broader strategic management. Freedman (2013) highlights that strategic planning originated in the military and involves systematic management of resources to achieve specific goals.

In addition, strategic planning allows organizations to forecast future outcomes, ensure accountability, and enhance compliance. For example, the US federal government uses strategic planning through the Government Performance and Results Act of 1993 (GPRA) and the Government Performance and Results Modernization Act of 2010 (GPRMA) (Radin, 2006; Tama, 2015). Thus, strategic planning is essential for manufacturing companies seeking to improve performance through measurable variables such as budgeting, cost control, investment appraisal, sales growth, and tangible assets.

1.2 Statement of the Problem

The decline in the performance of Nigerian manufacturing companies is increasingly alarming. This decline is primarily due to inadequate strategic planning, poor infrastructure, regulatory challenges, and limited access to modern production equipment. As a result, work output slows, leading to decreased productivity and overall poor performance.

Despite government initiatives, including the ERGP, manufacturing companies still struggle to achieve optimal performance. According to Frank Jacobs (2018), high production costs and unreliable power supply reduce competitiveness. Furthermore, the National Bureau of Statistics (NBS, 2014) identifies poor infrastructure, inconsistent agricultural supply, and other systemic issues as persistent challenges. Therefore, strategic planning, through variables such as budgeting, cost control, investment appraisal, sales growth, and tangible assets, offers a viable solution to these problems.

1.3 Objectives of the Study

The main objective of this study is to assess the effect of strategic planning on the performance of listed manufacturing companies in Nigeria.

The specific objectives are to:

1. Identify the effect of budgeting on performance.

2. Establish the impact of cost control on performance.

3. Examine the extent to which investment appraisal affects performance.

4. Determine the impact of sales growth on performance.

5. Evaluate the effect of tangible assets on performance.

1.4 Research Questions

1. How does budgeting affect the performance of listed manufacturing companies in Nigeria?

2. What impact does cost control have on performance?

3. To what extent does investment appraisal influence performance?

4. How does sales growth affect performance?

5. To what degree do tangible assets impact performance?

1.5 Research Hypotheses

H₀₁: Budgeting has no significant relationship with performance.
H₀₂: Cost control has no significant relationship with performance.
H₀₃: Capacity utilization has no significant relationship with performance.
H₀₄: Brand awareness has no significant relationship with performance.
H₀₅: Labor turnover rate has no significant relationship with performance.

1.6 Justification of the Study

This study is justified because strategic planning as a factor influencing performance in Nigerian manufacturing companies has received limited attention. Unlike previous studies, which focus on general management or financial analysis, this research examines strategic planning specifically. Consequently, it provides valuable insights for both practitioners and future researchers.

1.7 Significance of the Study

First, the study will aid stakeholders in making informed decisions regarding resource allocation and corporate strategy. Additionally, employees will better understand how strategic planning enhances organizational performance. Furthermore, investors and financial managers can use these findings to improve efficiency and decision-making. Finally, government agencies, regulatory bodies, and researchers will benefit from the evidence provided for policy formulation and further academic work.

1.8 Scope of the Study

This study focuses on the impact of strategic planning on performance in five listed manufacturing companies in Nigeria. The independent variable is strategic planning, measured through budgeting, cost control, investment appraisal, sales growth, and tangible assets. Purposive sampling was used to select relevant companies and ensure representative data collection.

1.9 Limitations of the Study

This study faced several challenges. First, collecting accurate performance data was difficult due to quantitative constraints. Second, time limitations restricted more extensive analyses. Third, recent materials were scarce, as most online articles were outdated. To mitigate these issues, the researcher employed purposive sampling, adopted stringent data collection measures, and used validated questionnaires targeted at corporate planning departments.

1.10 Operationalization of Variables

The primary objective is to determine the impact of strategic planning on performance. Here, the dependent variable (Y) is performance, while the independent variable (X) is strategic planning. The functional relationship is expressed mathematically as:

Y = f(X)

Where:
Y = Performance (PRQT, CTSF, BRAW, CAPUT, LBTR)
X = Strategic Planning (BGTN, CCRT, INTA, SGWT, TNAS)

Models:

MODEL 1: PRQT = β₀ + β₁BGTN + β₂CCRT + β₃INTA + β₄SGWT + β₅TNAS + µ
MODEL 2: CTSF = β₀ + β₁BGTN + β₂CCRT + β₃INTA + β₄SGWT + β₅TNAS + µ
MODEL 3: BRAW = β₀ + β₁BGTN + β₂CCRT + β₃INTA + β₄SGWT + β₅TNAS + µ
MODEL 4: CAPUT = β₀ + β₁BGTN + β₂CCRT + β₃INTA + β₄SGWT + β₅TNAS + µ
MODEL 5: LBTR = β₀ + β₁BGTN + β₂CCRT + β₃INTA + β₄SGWT + β₅TNAS + µ